Associate Professor In-Young Yeo

Associate Professor In-Young Yeo

Associate Professor

School of Engineering

Where land and water intertwine

Associate Professor In-Young Yeo’s work is helping to improve natural resource management, safeguarding our earth’s most precious assets and creating greater sustainability for this generation and the next.

In-Young Yeo

Associate Professor In-Young Yeo’s work lies at the nexus between our landscapes and our water resources, examining how precious natural assets such as soil, water and wetlands are being used and managed by communities.

Her research uses sophisticated remote sensing and modelling tools, and evidence-based numerical methods, to predict environmental states and challenges, tackle problems at the source and surrounds, and deliver information for better water and land resource planning, asset management, and agricultural practices.

Associate Professor Yeo’s overarching goal is to improve natural resource sustainability through better management practices that consider climate change, development pressure, and other environmental and social constraints.

“I believe that science can help us to own our behaviors and bring us together to work towards a better way to share our resources and take responsibility for them,” says Associate Professor Yeo.

Muddying the waters

Growing up in South Korea, Associate Professor Yeo saw firsthand how rapid industrialisation and urbanisation could result in drastic environmental changes over a very short period of time – and have lasting impacts.

“Over just a few years, water quality became an important concern in South Korea. People complained about the quality of their drinking water and reported health issues.

“They started paying for bottled drinking water, which was once considered ridiculous. The inaccessibility of clean water for domestic uses or farming became a problem, but little attention was paid.”

Naturally curious and inspired by the injustices and challenges she had witnessed, Associate Professor Yeo travelled to the USA to launch a research career and become part of the solution.

“I was intrigued by the idea that science and technology, such as satellite images and geographical information systems, could show where the problems come from, how they spread and move across landscapes, who might be responsible, what could be done, where and when.

“When I came to the USA to study, I learned that many developed countries had experienced similar environmental issues and were resolving some of these problems with science-informed policies.”

It wasn’t long before Associate Professor Yeo’s work was also contributing to more robust land and water management policies. Her PhD research, which looked at optimising land development patterns within economic and environmental constraints, developed a series of key sustainability principles that helped inform sustainable land use zoning and water resources management policy, along with the implementation of green infrastructure for coastal regions.

Working together

At the heart of Associate Professor Yeo’s research approach is a commitment to collaboration: working with experts across various disciplines, from industry partners to government and fellow researchers, to create solutions that work in the real world.

One of her collaborative research projects, which supported the US Conservation Effects Assessment Project (CEAP), is considered by many to be the most effective and widely adapted conservation practice to improve groundwater quality in the north-east USA.

The project, conducted with the US Department of Agriculture, US Geological Survey, and other federal and state governments, showed the effectiveness of cover crops to improve soil productivity and water quality.

“Our work helped the farmers to make better decisions for their croplands and the government to target critical areas and practices for providing incentives and subsidies.”

Mapping complex ecosystems

Associate Professor Yeo’s team have pioneered a way to map complex ecosystems, such as wetlands, again to the support the CEAP as well as the US Environmental Protection Agency (EPA), with NASA/USDA funding.

Their mapping project significantly improved the US Government’s ability to update national wetland inventory and monitor the landscape conditions and functioning across scales, under climate change and development pressure.

Their follow-on studies, using field-based research and numerical modelling, have since demonstrated cumulative benefits of wetlands and the hydrological connectivity with landscapes and groundwater.

“This provided the underpinning science to support the protection for ‘isolated’ wetlands and temporary waterways, which are contentiously not currently protected in the USA. Such findings provide the basis for continuing debates on water policy and calls for changes in current legislations.”

Australian landscapes from space

Associate Professor Yeo’s research has now been extended here in Australia – in partnership with researchers from Soil CRC, CSIRO, other Australian Universities and international space agencies – to provide insights into soil moisture, crop growth and water usage based on satellite and ground observations.

“This is really building our current capability to rapidly monitor the environment across the scales and bring this information to enhance knowledge and prediction with different sets of observations and models.

“This research direction requires new thinking and interdisciplinary teamwork – which is challenging but really exciting!

“We want to capture important issues in policymaking, compliances, and management practices around the problem of water scarcity and food security, and come up with sensible solutions that can be easily adapted by the government sectors for their management and operations.”

For example, Associate Professor Yeo and her team hope to build an integrated monitoring and forecasting system that delivers information quickly to the public to assist with smarter uses of resources and decision making.

“Such a system could assist the farmers to make smart, efficient decision on a daily basis.  It could help us to better understand the impacts of environmental flows and improve the water sharing plan and the wetland inventory in Australia.”

Across all her work, Associate Professor Yeo is committed to seeing research insights translate into practical solutions and better outcomes for end users – and, importantly, for our environment.

“I see the important nature of my research, and how it can make a difference in the real world, and in our daily lives, and that keeps me going.”

In-Young Yeo

Where land and water intertwine

Associate Professor In-Young Yeo’s work is helping to improve natural resource management, safeguarding our earth’s most precious assets and creating greater sustainability for this generation and the next.

Read more

Career Summary

Biography

In-Young Yeo is an Associate Professor of Civil, Surveying, and Environmental Engineering at the University of Newcastle (UoN).  Prior to joining UoN in 2015, she taught at the Ohio State University, Cornell University, and University of Maryland (USA).

In-Young is primarily interested in understanding the interface of land and water systems where the human and physical systems interact and evolve together.  Her research focuses on elucidating the drivers, changes, consequences and feedback loops between these two systems, under the climate changes and human development pressure.  She has worked with catchment hydrology, water resources and land system modelling, remote sensing of hydrology and land surface monitoring, and spatial optimization and data analytics.  She pioneers the integrative uses of remote sensing, in-situ data, and process-based or statistical models to understand the emergent land surface properties and hydrologic processes, predict their change dynamics, and provide site-specific science-based advice to guide sustainable resources management.  Her work demonstrates the water cycle changes from the river basin to sub-paddock scale, remote sensing of water resources and plant water uses, downscaling of soil moisture and terrestrial water storage, the surface-ground water and soil moisture-stream flow connectivity, soil and water quality implications of conservation management practices, and optimal land use management strategies for environmental sustainability.

In-Young is a well-rounded civil and environmental engineer, geospatial analyst, and regional environmental planner.  She has formal education background and professional experiences in the area of Civil and Environmental Engineering (Water Resources Engineering, Hydrology, Water Quality Processes), Geodetic and Geographical Sciences (Geographical Information Science/Remote Sensing), and City and Regional Planning (Environmental Planning, Systems Analysis and Optimization).  With broad educational training and working experience, she has developed and taught a number of courses at both undergraduate and graduate levels. Previously she led the program redesign and development of BEng/MPEng in Surveying and Geospatial Engineering at UoN for the Faculty of Engineering and Built Environment (FEBE), significantly contributed to the development of the Professional Master Program in Geospatial Information Sciences (University of Maryland, USA), and served as University Delegate to the Consortium of Universities for the Advancement of Hydrologic Science, Inc. (CUAHSI, USA) and to the University Consortium of Geographic Information Science (UCGIS, USA).  She is currently on the educational committee with the Surveying & Spatial Sciences Institute (SSSI) NSW.

In-Young has actively collaborated with a number of research scientists around the world and led multiple interdisciplinary research projects funded by the governments (ARC, NASA, NOAA, USDA) and industry partners (Soil CRC, and Sydney Water).  In-Young was a science team member to NASA-LCLUC (as project lead) and NASA-GRACE program through international open competition, highly selective expert groups pioneering earth system observations and applications, and invited to join the G20 initiative for agricultural monitoring through earth observation systems, GEOGLAM-RAPP under UN-Environment Programme (UNEP), two national projects led by US Department of Agriculture as an international partner investigator, and the CRC for High Performance Soils as a nominated scientist. She was a recipient of the US National Oceanic Atmospheric Administration (NOAA) graduate research fellowship and received two UoN’s fellowships in recognition of excellent research.   She provides professional services to the science communities and government agencies as a proposal assessor and invited expert, and a referee and an editorial board member for several professional journals.

Research Expertise

  • Agriculture Hydrology and Crop Monitoring
  • Climate - Food - Water Nexus
  • Spatial Hydrology, Catchment System Modelling, and Water Quality Processes
  • Geographical Information Systems and Remote Sensing
  • Spatial Optimization and Decision Analyses
  • Environmentally Sustainable Engineering and Environmental Planning
  • Land and Water Resources Management

Teaching Experience

  • Land Surface Processes and Management (graduate and undergraduate level)
  • Physical Hydrology (undergraduate level)
  • Watershed System, Modelling, and Policy (graduate level)
  • Water Quality Processes and Treatment (graduate and undergraduate level)
  • Quantitative Methods and Statistics (undergraduate level)
  • Spatial Statistics and Analysis (graduate level)
  • Decision Analyses and Optimization (graduate level)
  • Spatial Modelling and GIS (graduate level)
  • Geographic Information Systems and Remote Sensing (graduate and undergraduate level)
  • Introduction to Environmental Planning (graduate level)
  • Introduction to Environmental Engineering and Environmental Sciences (graduate level)
  • Introduction to Urban and Regional Planning (undergraduate level)
  • Physical Site Design and Planning (graduate level)

Qualifications

  • Doctor of Philosophy, Ohio State University - USA

Keywords

  • Climate Change
  • Environmental Engineering
  • Environmental Planning and Sustainability
  • Geographic Information Systems and Remote Sensing
  • Hydrology
  • Land Use Sciences
  • Landscape Ecology
  • Nonpoint Source Water Pollution
  • Spatial Optimisation and Decision Sciences
  • Spatial Sciences
  • Water Quality
  • Water Resources

Languages

  • English (Fluent)
  • Korean (Mother)

Fields of Research

Code Description Percentage
400513 Water resources engineering 25
401302 Geospatial information systems and geospatial data modelling 50
370704 Surface water hydrology 25

Professional Experience

UON Appointment

Title Organisation / Department
Associate Professor University of Newcastle
School of Engineering
Australia
Associate Professor University of Newcastle
School of Engineering
Australia

Academic appointment

Dates Title Organisation / Department
1/1/2001 - 31/5/2002 Graduate Research Associate Ohio Supercomputer Center
United States
5/1/2015 - 31/12/2018 Senior Lecturer Faculty of Engineering and Built Environment, University of Newcastle
School of Engineering
Australia
1/9/2006 - 1/1/2015 Assistant Professor University of Maryland, College Park
United States
1/6/2002 - 31/5/2004 National Graduate Research Fellow National Oceanic and Atmospheric Administration(NOAA) The Estuarine Research Federation
United States
1/8/2004 - 31/12/2005 Lecturer The Ohio State University
United States
1/1/2006 - 31/5/2006 Visiting Assistant Professor Cornell University, USA
United States
1/1/1998 - 31/12/2000 Graduate Research and Teaching Associate The Ohio State University
Civil and Environmental Engineering and Geodetic Science
United States

Awards

Award

Year Award
2018 2018 International Research Visiting Fellowship
The University of Newcastle | Australia
2017 2017 Women in Research Fellowship
The University of Newcastle
2013 Faculty Travel Support Award
UMD Advance Program for Inclusive Excellence - National Science Foundation
2006 Barclay Jones Dissertation Award for 2006 (Best Disseration in Planning) - Runner up
Association of Collegiate Schools of Planning
2005 Jerrold R. Voss Scholarship
Ohio State University
2004 Summer Dissertation Research Award, Environmental Policy Initative
Ohio State University
2002 Best Student Project Award
Ohio State University
2002 NOAA-NERR Graduate Research Fellowship (02-04)
NOAA

Member

Year Award
2001 Honor Society of Phi Kappa Phi
Honor Society of Phi Kappa Phi

Recognition

Year Award
2009 Editor's Highlights - AGU Geophysical Research Letters
American Geophysical Union
2007 Highlighted NOAA National Estuarine Research Reserve Program Graduate Research Fellow
National Oceanic and Atmospheric Administration(NOAA) The Estuarine Research Federation

Scholarship

Year Award
2004 Environemntal Policy Initiative Graduate Student Travel Award
Ohio State University
2003 US NOAA Graduate Student Travel Award
NOAA
2003 US National Science Foundation (NSF) Graduate Student Travel Award
NSF and NASA

Teaching

Code Course Role Duration
CIVL 3431 Land Surface Process and Management
Faculty of Engineering and Built Environment - The University of Newcastle (Australia)
Brings together a general understanding of environmental physics, acquisition and use of environmental data and numerical modelling of transport of particles and nutrients. Students will gain experience with several management tools for addressing environmental degradation, focusing on erosion and salinity
Lecturer and Course Coordinator 1/8/2015 - 31/12/2021
SURV2650 Spatial Data Systems and Remote Sensing
Faculty of Engineering and Built Environment - The University of Newcastle (Australia)
This course will provide students with basic concepts of geographical information sciences and remote sensing. It will include types of spatial information, database structures, analytical methods for spatial data analysis, and image processing.  Student will be exposed to a range of remotely sensed products and spatial data systems used for a wide range of environmental applications. Students will have hands on experience in the use of Geographical Information Systems and Remote Sensing software packages.
Lecturer and Course Coordinator 1/8/2015 - 1/1/2022
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Publications

For publications that are currently unpublished or in-press, details are shown in italics.


Chapter (1 outputs)

Year Citation Altmetrics Link
2017 Lang M, Yeo I, Beeson P, Anderson M, 'Section 4: Remote Sensing of Groundwater Resources', National Groundwater Inventorying and Monitoring Technical Guide, US Forest Service, Washingon DC (2017)
Co-authors In-Young Yeo

Journal article (46 outputs)

Year Citation Altmetrics Link
2021 Bretreger D, Yeo I-Y, Melchers R, 'Terrain Wetness Indices Derived from LiDAR to Inform Soil Moisture and Corrosion Potential for Underground Infrastructure', Science of The Total Environment, 144138-144138 (2021)
DOI 10.1016/j.scitotenv.2020.144138
Co-authors In-Young Yeo, Rob Melchers
2021 Lee S, McCarty GW, Moglen GE, Yen H, Lei F, Anderson M, et al., 'Enhanced Watershed Modeling by Incorporating Remotely Sensed Evapotranspiration and Leaf Area Index', Hydrology and Earth System Sciences, (2021)
DOI 10.5194/hess-2020-669
Co-authors In-Young Yeo
2021 Senanayake IP, Yeo I-Y, Walker JP, Willgoose GR, 'Estimating catchment scale soil moisture at a high spatial resolution: integrating remote sensing and machine learning', Science of The Total Environment, 145924-145924 (2021)
DOI 10.1016/j.scitotenv.2021.145924
Co-authors In-Young Yeo, Indishe Senanayake Uon
2021 Senanayake IP, Yeo I-Y, Willgoose GR, Hancock GR, 'Disaggregating satellite soil moisture products based on soil thermal inertia: a comparison of a downscaling model built at two spatial scales', Journal of Hydrology, 125894-125894 (2021)
DOI 10.1016/j.jhydrol.2020.125894
Co-authors Greg Hancock, Garry Willgoose, Indishe Senanayake Uon, In-Young Yeo
2020 Nan Y, Walker J, Yeo I-Y, Jackson T, Kerr Y, Kim E, et al., 'Toward P-Band Passive Microwave Sensing of Soil Moisture', IEEE Geoscience and Remote Sensing Letters, (2020)
DOI 10.1109/LGRS.2020.2976204
Co-authors In-Young Yeo
2020 Stubbs Q, Yeo I-Y, Lang M, Townshend J, Sun L, Prestegaard K, Jantz C, 'Assessment of Wetland Change on the Delmarva Peninsula from 1984 to 2010', Journal of Coastal Research, 36 575-575 (2020)
DOI 10.2112/jcoastres-d-16-00038.1
Co-authors In-Young Yeo
2020 Hively WD, Lee S, Sadeghi AM, McCarty GW, Lamb BT, Soroka A, et al., 'Estimating the effect of winter cover crops on nitrogen leaching using cost-share enrollment data, satellite remote sensing, and Soil and Water Assessment Tool (SWAT) modeling', Journal of Soil and Water Conservation, 75 362-375 (2020) [C1]
DOI 10.2489/jswc.75.3.362
Citations Scopus - 3Web of Science - 3
Co-authors In-Young Yeo
2020 Lee S, McCarty GW, Moglen GE, Lang MW, Nathan Jones C, Palmer M, et al., 'Seasonal drivers of geographically isolated wetland hydrology in a low-gradient, Coastal Plain landscape', Journal of Hydrology, 583 (2020) [C1]
DOI 10.1016/j.jhydrol.2020.124608
Citations Scopus - 5Web of Science - 5
Co-authors In-Young Yeo
2020 Shen X, Walker JP, Ye N, Wu X, Boopathi N, Yeo I-Y, et al., 'Soil Moisture Retrieval Depth of P- and L-Band Radiometry: Predictions and Observations', IEEE Transactions on Geoscience and Remote Sensing, 1-9 (2020)
DOI 10.1109/tgrs.2020.3026384
Co-authors In-Young Yeo
2020 Bretreger D, Yeo I-Y, Melchers R, 'LiDAR derived terrain wetness indices to infer soil moisture above underground pipelines', International Journal on Smart Sensing and Intelligent Systems, 13 1-7 (2020) [C1]
DOI 10.21307/ijssis-2020-005
Citations Scopus - 1
Co-authors In-Young Yeo, Rob Melchers
2020 Lang MW, Kim V, McCarty GW, Li X, Yeo I-Y, Huang C, Du L, 'Improved Detection of Inundation below the Forest Canopy using Normalized LiDAR Intensity Data', Remote Sensing, 12 (2020) [C1]
DOI 10.3390/rs12040707
Citations Scopus - 3Web of Science - 2
Co-authors In-Young Yeo
2020 Tangdamrongsub N, Han SC, Yeo IY, Dong J, Steele-Dunne SC, Willgoose G, Walker JP, 'Multivariate data assimilation of GRACE, SMOS, SMAP measurements for improved regional soil moisture and groundwater storage estimates', Advances in Water Resources, 135 (2020) [C1]
DOI 10.1016/j.advwatres.2019.103477
Citations Scopus - 4Web of Science - 2
Co-authors In-Young Yeo, Shin-Chan Han, Garry Willgoose
2020 Bretreger D, Yeo I-Y, Hancock G, Willgoose G, 'Monitoring irrigation using landsat observations and climate data over regional scales in the Murray-Darling Basin', Journal of Hydrology, 590 (2020) [C1]
DOI 10.1016/j.jhydrol.2020.125356
Co-authors Greg Hancock, In-Young Yeo, Garry Willgoose
2020 Lee S, Yen H, Yeo IY, Moglen GE, Rabenhorst MC, McCarty GW, 'Use of multiple modules and Bayesian Model Averaging to assess structural uncertainty of catchment-scale wetland modeling in a Coastal Plain landscape', Journal of Hydrology, 582 (2020) [C1]
DOI 10.1016/j.jhydrol.2020.124544
Citations Scopus - 1Web of Science - 2
Co-authors In-Young Yeo
2020 Yin W, Han S-C, Zheng W, Yeo I-Y, Hu L, Tangdamrongsub N, Ghobadi Far K, 'Improved water storage estimates within the North China Plain by assimilating GRACE data into the CABLE model', Journal of Hydrology, 590 (2020) [C1]
DOI 10.1016/j.jhydrol.2020.125348
Citations Scopus - 3Web of Science - 3
Co-authors Shin-Chan Han, In-Young Yeo
2019 Lee S, Yeo IY, Lang MW, McCarty GW, Sadeghi AM, Sharifi A, et al., 'Improving the catchment scale wetland modeling using remotely sensed data', Environmental Modelling and Software, 122 (2019) [C1]
DOI 10.1016/j.envsoft.2017.11.001
Citations Scopus - 11Web of Science - 13
Co-authors In-Young Yeo
2019 Senanayake I, Yeo I-Y, Tangdamrongsub N, Willgoose G, Hancock G, Wells T, et al., 'An in-situ data based model to downscale radiometric satellite soil moisture products in the Upper Hunter Region of NSW, Australia', Journal of Hydrology, 572 820-838 (2019) [C1]
DOI 10.1016/j.jhydrol.2019.03.014
Citations Scopus - 10Web of Science - 6
Co-authors In-Young Yeo, Indishe Senanayake Uon, Greg Hancock, Garry Willgoose
2019 Yeo IY, Lang MW, Lee S, McCarty GW, Sadeghi AM, Yetemen O, Huang C, 'Mapping landscape-level hydrological connectivity of headwater wetlands to downstream waters: A geospatial modeling approach - Part 1', Science of the Total Environment, 653 1546-1556 (2019) [C1]
DOI 10.1016/j.scitotenv.2018.11.238
Citations Scopus - 14Web of Science - 14
Co-authors Omer Yetemen, In-Young Yeo
2019 Yeo IY, Lee S, Lang MW, Yetemen O, McCarty GW, Sadeghi AM, Evenson G, 'Mapping landscape-level hydrological connectivity of headwater wetlands to downstream waters: A catchment modeling approach - Part 2', Science of the Total Environment, 653 1557-1570 (2019) [C1]
DOI 10.1016/j.scitotenv.2018.11.237
Citations Scopus - 13Web of Science - 13
Co-authors Omer Yetemen, In-Young Yeo
2019 Lee S, McCarty GW, Moglen GE, Lang MW, Sadeghi AM, Green TR, et al., 'Effects of subsurface soil characteristics on wetland-groundwater interaction in the coastal plain of the Chesapeake Bay watershed', Hydrological Processes, 33 305-315 (2019) [C1]
DOI 10.1002/hyp.13326
Citations Scopus - 9Web of Science - 8
Co-authors In-Young Yeo
2019 Bretreger D, Yeo I-Y, Quijano J, Awad J, Hancock G, Willgoose G, 'Monitoring irrigation water use over paddock scales using climate data and landsat observations', Agricultural Water Management, 221 175-191 (2019) [C1]
DOI 10.1016/j.agwat.2019.05.002
Citations Scopus - 5Web of Science - 3
Co-authors Greg Hancock, Garry Willgoose, In-Young Yeo
2019 Yen H, Park S, Arnold JG, Srinivasan R, Chawanda CJ, Wang R, et al., 'IPEAT+: A built-in optimization and automatic calibration tool of SWAT+', Water, 11 (2019) [C1]
DOI 10.3390/w11081681
Citations Scopus - 5Web of Science - 5
Co-authors In-Young Yeo
2018 Sangchul L, Yeo I, Sadeghi A, McCarty G, Hively W, Lang M, Sharifi A, 'Comparative analyses of hydrological responses of two adjacent watersheds to climate variability and change using the SWAT model', Hydrology and Earth System Sciences, 22 689-708 (2018) [C1]
DOI 10.5194/hess-22-689-2018
Citations Scopus - 21Web of Science - 18
Co-authors In-Young Yeo
2018 Lee S, Sadeghi AM, McCarty GW, Baffaut C, Lohani S, Duriancik LF, et al., 'Assessing the suitability of the Soil Vulnerability Index (SVI) on identifying croplands vulnerable to nitrogen loss using the SWAT model', Catena, 167 1-12 (2018) [C1]
DOI 10.1016/j.catena.2018.04.021
Citations Scopus - 11Web of Science - 10
Co-authors In-Young Yeo
2018 Lee S, Yeo I-Y, Lang MW, Sadeghi AM, McCarty GW, Moglen GE, Evenson GR, 'Assessing the cumulative impacts of geographically isolated wetlands on watershed hydrology using the SWAT model coupled with improved wetland modules', Journal of Environmental Management, 223 37-48 (2018) [C1]
DOI 10.1016/j.jenvman.2018.06.006
Citations Scopus - 32Web of Science - 32
Co-authors In-Young Yeo
2018 Lee S, Yeo I-Y, Sadeghi AM, McCarty GW, Hively WD, Lang MW, Sharifi A, 'Comparative analyses of hydrological responses of two adjacent watersheds to climate variability and change scenarios using SWAT model', Hydrology and Earth System Sciences, (2018)
DOI 10.5194/hess-2017-178
Co-authors In-Young Yeo
2018 Tangdamrongsub N, Han S-C, Decker M, Yeo I, Kim H, 'On the use of GRACE normal equation of intersatellite tracking data for improved estimation of soil moisture and groundwater in Australia', Hydrology and Earth System Sciences, 22 1811-1829 (2018) [C1]
DOI 10.5194/hess-22-1811-2018
Citations Scopus - 14Web of Science - 12
Co-authors Shin-Chan Han, In-Young Yeo
2018 Lee S, Wallace CW, Sadeghi AM, McCarty GW, Zhong H, Yeo I, 'Impacts of Global Circulation Model (GCM) bias and WXGEN on Modeling Hydrologic Variables', Water, 10 (2018) [C1]
DOI 10.3390/w10060764
Citations Scopus - 3
Co-authors In-Young Yeo
2017 Stubbs Q, Yeo I, Lang M, Townshend J, Jantz C, 'Assessment of Wetland Change on the Delmarva Peninsula from 1984 to 2010 using the Regional Land Cover Data Sets,', International Journal of Digital Earth: a new journal for a new vision, (2017)
Co-authors In-Young Yeo
2017 Jin HR, Huang CQ, Lang MW, Yeo IY, Stehman SV, 'Monitoring of wetland inundation dynamics in the Delmarva Peninsula using Landsat time-series imagery from 1985 to 2011', Remote Sensing of Environment, 190 26-41 (2017) [C1]
DOI 10.1016/j.rse.2016.12.001
Citations Scopus - 50Web of Science - 49
Co-authors In-Young Yeo
2017 Lee S, Sadeghi AM, Yeo IY, McCarty GW, Hively WD, 'Assessing the impacts of future climate conditions on the effectiveness of winter cover crops in reducing nitrate loads into the chesapeake bay watersheds using the SWAT model', Transactions of the ASABE, 60 1939-1955 (2017) [C1]
DOI 10.13031/trans.12390
Citations Scopus - 10Web of Science - 9
Co-authors In-Young Yeo
2016 Lee S, Yeo IY, Sadeghi A, McCarty G, Hively H, Lang MW, 'Impacts of Watershed Characteristics and Crop Rotations on Winter Cover Crop Nitrate-Nitrogen Uptake Capacity within Agricultural Watersheds in the Chesapeake Bay Region', PLoS One, 11 (2016) [C1]
DOI 10.1371/journal.pone.0157637
Citations Scopus - 33Web of Science - 14
Co-authors In-Young Yeo
2016 Sharifi A, Lang MW, McCarty GW, Sadeghi AM, Lee S, Yen H, et al., 'Improving model prediction reliability through enhanced representation of wetland soil processes and constrained model auto calibration A paired watershed study', Journal of Hydrology, 541 1088-1103 (2016) [C1]

© 2016 Elsevier B.V. Process based, distributed watershed models possess a large number of parameters that are not directly measured in field and need to be calibrated, in most ca... [more]

© 2016 Elsevier B.V. Process based, distributed watershed models possess a large number of parameters that are not directly measured in field and need to be calibrated, in most cases through matching modeled in-stream fluxes with monitored data. Recently, concern has been raised regarding the reliability of this common calibration practice, because models that are deemed to be adequately calibrated based on commonly used metrics (e.g., Nash Sutcliffe efficiency) may not realistically represent intra-watershed responses or fluxes. Such shortcomings stem from the use of an evaluation criteria that only concerns the global in-stream responses of the model without investigating intra-watershed responses. In this study, we introduce a modification to the Soil and Water Assessment Tool (SWAT) model, and a new calibration technique that collectively reduce the chance of misrepresenting intra-watershed responses. The SWAT model was modified to better represent NO3 cycling in soils with various degrees of water holding capacity. The new calibration tool has the capacity to calibrate paired watersheds simultaneously within a single framework. It was found that when both proposed methodologies were applied jointly to two paired watersheds on the Delmarva Peninsula, the performance of the models as judged based on conventional metrics suffered, however, the intra-watershed responses (e.g., mass of NO3 lost to denitrification) in the two models automatically converged to realistic sums. This approach also demonstrates the capacity to spatially distinguish areas of high denitrification potential, an ability that has implications for improved management of prior converted wetlands under crop production and for identifying prominent areas for wetland restoration.

DOI 10.1016/j.jhydrol.2016.08.022
Citations Scopus - 17Web of Science - 15
Co-authors In-Young Yeo
2014 Yeo IY, Lang M, Vermote E, 'Improved Understanding of Suspended Sediment Transport Process Using Multi-Temporal Landsat Data: A Case Study From the Old Woman Creek Estuary (Ohio)', IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 7 636-647 (2014) [C1]
DOI 10.1109/JSTARS.2013.2265191
Citations Scopus - 7Web of Science - 7
Co-authors In-Young Yeo
2014 Huang C, Peng Y, Lang M, Yeo I-Y, McCarty G, 'Wetland inundation mapping and change monitoring using Landsat and airborne LiDAR data', Remote Sensing of Environment, 141 231-242 (2014) [C1]
DOI 10.1016/j.rse.2013.10.020
Citations Scopus - 117Web of Science - 106
Co-authors In-Young Yeo
2014 Yeo I-Y, Lee S, Sadeghi AM, Beeson PC, Hively WD, McCarty GW, Lang MW, 'Assessing winter cover crop nutrient uptake efficiency using a water quality simulation model', HYDROLOGY AND EARTH SYSTEM SCIENCES, 18 5239-5253 (2014) [C1]
DOI 10.5194/hess-18-5239-2014
Citations Scopus - 37Web of Science - 34
Co-authors In-Young Yeo
2013 Yeo IY, Huang C, 'Revisiting the forest transition theory with historical records and geospatial data: A case study from Mississippi (USA)', Land Use Policy, 32 1-13 (2013)

This study examines forest change processes, within the framework of forest transition theory (FTT), using Mississippi (USA) as a case study. The aim is to evaluate the assumption... [more]

This study examines forest change processes, within the framework of forest transition theory (FTT), using Mississippi (USA) as a case study. The aim is to evaluate the assumption and theoretical basis of FTT with quantitative data, and to propose changes in forest management policy as a potential driver for reforestation. We compiled a number of historical records, geospatial data, and time series forest mapping products to reconstruct the last 100 years of forest trajectory. Forest changes are studied in relation to changes in society, over a range of temporal and spatial scales. Details of forest dynamics (e.g., the rate and extent of forest gain and loss) were quantified, while considering the ecological properties of the secondary forests. Mississippi forests are intensively managed and fragmented secondary forests, while regenerated entirely through plantation. The quantified forest transition (FT) curve indicated that forest dynamics have been nonlinear and have involved multiple reversals, resulting in multiple periods of forest expansion. The spatial and temporal analysis with time series remote sensing data over the last 30 years reveals that Mississippi forests have experienced very frequent changes and disturbance, even during the period of forest expansion. These change patterns are not apparent when considering total forest area estimates. The result illustrates that the " forest scarcity pathway" of FTT (Rudel et al., Global Environmental Change Part A 15(1) (2005) 23-31) worked to reverse the deforestation trend for the initial FT period. However, regenerated forests have experienced another episode of FT and expansion, and this cannot be explained by the forest scarcity pathway. Rather, the case of Mississippi suggests an alternative pathway (Mather, International Forestry Review 9(1) (2007) 491-502; Lambin and Meyfroidt, Land Use Policy 27 (2010) 108-118), distinct from the previous work, and highlights the importance of changes in policy incentives to account for forest recovery. The conceptual basis of FTT proposed by Mather (Area 24(4) (1992) 367-379) and Grainger (Area 27(3) (1995) 242-251) is revisited, showing how two alternative views are complementary, providing explanation for the repeated patterns of FT. This study presents empirical evidence to understand the theoretical basis and assumptions of FTT and suggests a new path for FT, " forest management policy pathway" © 2012 Elsevier Ltd.

DOI 10.1016/j.landusepol.2012.09.017
Citations Scopus - 22Web of Science - 20
Co-authors In-Young Yeo
2013 Lang M, McCarty G, Oesterling R, Yeo IY, 'Topographic metrics for improved mapping of forested wetlands', Wetlands, 33 141-155 (2013)

We investigated the predictive strength of forested wetland maps produced using digital elevation models (DEMs) derived from Light Detection and Ranging (LiDAR) data and multiple ... [more]

We investigated the predictive strength of forested wetland maps produced using digital elevation models (DEMs) derived from Light Detection and Ranging (LiDAR) data and multiple topographic metrics, including multiple topographic wetness indices (TWIs), a TWI enhanced to incorporate information on water outlets, normalized relief, and hybrid TWI/relief in the Coastal Plain of Maryland. LiDAR DEM based wetland maps were compared to maps of inundation and existing wetland maps. TWIs based on the most distributed FD8 (8 cells) and somewhat distributed D8 (1-2 cells) flow routing algorithms were better correlated with inundation than a TWI based on a non-distributed D8 (1 cell) flow routing algorithm, but D8 TWI class boundaries appeared artificial. The enhanced FD8 TWI provided good prediction of wetland location but could not predict periodicity of inundation. Normalized relief provided good prediction of inundation periodicity but was less able to map wetland boundaries. A hybrid of these metrics provided good measurement of wetland location and inundation periodicity. Wetland maps based on topographic metrics included areas of flooded forest that were similar to an aerial photography based wetland map. These results indicate that LiDAR based topographic metrics have potential to improve accuracy and automation of wetland mapping. © 2012 US Government.

DOI 10.1007/s13157-012-0359-8
Citations Scopus - 79Web of Science - 75
Co-authors In-Young Yeo
2013 Yeo IY, Huang C, 'Forest dynamics in Mississippi, USA: A hybrid statistical and geospatial analysis', Regional Environmental Change, 13 583-599 (2013)

Understanding forest changes and its trajectory is important to develop policy options and future scenarios for climate analysis. This research is conducted to gain insights on se... [more]

Understanding forest changes and its trajectory is important to develop policy options and future scenarios for climate analysis. This research is conducted to gain insights on secondary forests change using Mississippi, USA, as a case study. We investigate the spatial patterns and temporal dynamics of secondary forests at high resolution and examine the forces driving their changes. An extensive literature review is conducted to refine the conceptual framework of forest changes and identify the underlying key factors. Forest changes are quantified at high spatial (30-m) and temporal (biennial) resolutions, using time series remotely sensed data between 1984 and 2007. A number of geospatial and socioeconomic data were compiled to analyze the spatial variations of forest disturbances and their linkages to various socioeconomic, political, and biogeophysical factors. The results show that the secondary forests are highly dynamic and variable. Disturbances and regeneration occur continuously everywhere in a systematic and coordinated fashion. This pattern prevents an extensive disturbance and increases total forest cover. Market conditions (i.e., timber price) are the key predictor of the level and overall trend of forest disturbances. However, spatial patterns of forest dynamics cannot be explained by location-specific biophysical, socioeconomic, and policy factors identified in the literature. They can best be described by the ecological characteristics of the forests (i.e., the forest type and age distribution), which have a clear economic linkage. The research shows that regenerated forests frequently experience loss and gain of their extent, and their ecological characteristics change drastically on a short-term basis. These results point out challenges and opportunities in forest management and policy with regard to reforestation. © 2012 Springer-Verlag.

DOI 10.1007/s10113-012-0340-3
Citations Scopus - 3Web of Science - 3
Co-authors In-Young Yeo
2010 Han S-C, Yeo I-Y, Alsdorf D, Bates P, Boy J-P, Kim H, et al., 'Movement of Amazon surface water from time-variable satellite gravity measurements and implications for water cycle parameters in land surface models', GEOCHEMISTRY GEOPHYSICS GEOSYSTEMS, 11 (2010)
DOI 10.1029/2010GC003214
Citations Scopus - 16Web of Science - 16
Co-authors In-Young Yeo, Shin-Chan Han
2010 Yeo I-Y, Guldmann J-M, 'Global spatial optimization with hydrological systems simulation: application to land-use allocation and peak runoff minimization', HYDROLOGY AND EARTH SYSTEM SCIENCES, 14 325-338 (2010)
DOI 10.5194/hess-14-325-2010
Citations Scopus - 5Web of Science - 6
Co-authors In-Young Yeo
2009 Han S-C, Kim H, Yeo I-Y, Yeh P, Oki T, Seo K-W, et al., 'Dynamics of surface water storage in the Amazon inferred from measurements of inter-satellite distance change', GEOPHYSICAL RESEARCH LETTERS, 36 (2009)
DOI 10.1029/2009GL037910
Citations Scopus - 45Web of Science - 39
Co-authors In-Young Yeo, Shin-Chan Han
2007 Yeo I-Y, Guldmann J-M, Gordon SI, 'A hierarchical optimization approach to watershed land use planning', WATER RESOURCES RESEARCH, 43 (2007)
DOI 10.1029/2006WR005315
Citations Scopus - 13Web of Science - 10
Co-authors In-Young Yeo
2006 Yeo I-Y, Guldmann J-M, 'Land-use optimization for controlling peak flow discharge and nonpoint source water pollution', ENVIRONMENT AND PLANNING B-PLANNING & DESIGN, 33 903-921 (2006)
DOI 10.1068/b31185
Citations Scopus - 16Web of Science - 14
Co-authors In-Young Yeo
2004 Yeo I-Y, Gordon SI, Guldmann J-M, 'Optimizing Patterns of Land Use to Reduce Peak Runoff Flow and Nonpoint Source Pollution with an Integrated Hydrological and Land-Use Model', EARTH INTERACTIONS, 8 (2004)
Citations Scopus - 21Web of Science - 18
Co-authors In-Young Yeo
Lee S, McCarty GW, Moglen GE, Yen H, Lei F, Anderson M, et al., 'Supplementary material to "Enhanced Watershed Modeling by Incorporating Remotely Sensed Evapotranspiration and Leaf Area Index"
DOI 10.5194/hess-2020-669-supplement
Co-authors In-Young Yeo
Show 43 more journal articles

Conference (55 outputs)

Year Citation Altmetrics Link
2020 Bretreger D, Yeo I-Y, Hancock G, Willgoose G, 'Quantifying Irrigation Water Use over Regional Scales with Landsat and Climate Data', Vienna (2020)
DOI 10.5194/egusphere-egu2020-21255
Co-authors Garry Willgoose, In-Young Yeo, Greg Hancock
2020 Yetemen Ö, Avcioglu A, Çaglar F, Ekberzade B, Çetiner U, Sen ÖL, et al., 'A co-evolutionary modelling framework for water-soil-vegetation interactions in Turkish semiarid landscapes for sustainable natural resources under climate change', Vienna (2020)
DOI 10.5194/egusphere-egu2020-21689
Co-authors In-Young Yeo, Omer Yetemen
2020 Yeo I-Y, Binesh A, Willgoose G, Hancock G, Yeteman O, 'From hillslope to catchment scale hydrologic prediction in a semi-arid region with in-situ observations, satellite soil moisture products, and a distributed catchment model', Vienna (2020)
DOI 10.5194/egusphere-egu2020-21765
Co-authors Garry Willgoose, In-Young Yeo, Greg Hancock
2019 Bretreger D, Yeo I-Y, 'The effects of SILO & AWRA wind speeds on irrigation depth simulations', MODSIM2019, 23rd International Congress on Modelling and Simulation, Canberra, ACT, Australia (2019) [E1]
DOI 10.36334/modsim.2019.k17.bretreger2
Co-authors In-Young Yeo
2019 Bretreger D, Warner A, Yeo I-Y, 'Comparing remote sensing and tabulated crop coefficients to assess irrigation water use', MODSIM2019, 23rd International Congress on Modelling and Simulation., Canberra, ACT, Australia (2019) [E1]
DOI 10.36334/modsim.2019.c1.bretreger
Co-authors In-Young Yeo
2019 Boopathi N, Ye N, Wu X, Walker JP, Rao YS, Jackson TJ, et al., 'Ground-Based Remote Sensing of Soil Moisture Using Lower Frequency Microwave Radiometers', 2019 URSI ASIA-PACIFIC RADIO SCIENCE CONFERENCE (AP-RASC), New Delhi, INDIA (2019)
Co-authors In-Young Yeo
2019 Binesh A, Yeo I-Y, Hancock G, 'Effects of soil data input on catchment streamflow and soil moisture prediction', MODSIM2019, 23rd International Congress on Modelling and Simulation., Canberra, ACT (2019) [E1]
DOI 10.36334/modsim.2019.k24.binesh2
Co-authors In-Young Yeo, Greg Hancock
2019 Senanayake I, Yeo I-Y, Willgoose GR, Bretreger D, 'Using an artificial neural network to enhance the spatial resolution of satellite soil moisture products based on soil thermal inertia', MODSIM2019, 23rd International Congress on Modelling and Simulation, Canberra, ACT (2019) [E1]
DOI 10.36334/modsim.2019.k10.senanayake
Co-authors Greg Hancock, Indishe Senanayake Uon, In-Young Yeo, Garry Willgoose
2019 Senanayake I, Yeo I-Y, Tangdamrongsub N, Willgoose G, Hancock G, Wells T, et al., 'Estimating near surface soil moisture at a high spatial resolution using an in-situ data based model', Chiba, Japan (2019)
Co-authors Garry Willgoose, Indishe Senanayake Uon, In-Young Yeo, Greg Hancock
2018 Binesh A, Yeo I-Y, 'Multi-variable hydrological simulation in a semi-arid catchment towards effective water resources management', Hydrology and Water Resources Symposium (HWRS 2018): Water and Communities, Melbourne, VIC (2018) [E1]
Co-authors In-Young Yeo
2018 Ye N, Wu X, Walker J, Boopathi N, Jackson TJ, Kerr Y, et al., 'Towards multi-frequency soil moisture retrieval using P- and L-band passive microwave sensing technology', IGARSS 2018: The 38th annual symposium of the IEEE Geoscience and Remote Sensing Society (IGRSS, Valencia, Spain (2018) [E1]
DOI 10.1109/IGARSS.2018.8519266
Citations Scopus - 3Web of Science - 3
Co-authors In-Young Yeo
2018 Yeo I, Lang M, Lee S, Huang C, McCarty G, Sadeghi A, 'Mapping and monitoring of wetland dynamics for improved resilience and delivery of ecosystem services: Results from an integrated data-model approach in the Mid-Atlantic region', NASA Land Cover Land Use Change Program Science Team Meeting, Gaithersburg MD (2018)
Co-authors In-Young Yeo
2018 Boopathi N, Ye N, Walker JP, Rao YS, Jackson TJ, Kerr Y, et al., 'Toward soil moisture retrieval using tower-based P-band radiometer observations', The 38th annual symposium of the IEEE Geoscience and Remote Sensing Society (IGRSS)., Valencia, Spain (2018) [E1]
DOI 10.1109/IGARSS.2018.8518979
Citations Scopus - 3Web of Science - 2
Co-authors In-Young Yeo
2018 Tangdamrongsub N, Han S, Yeo I, Bretreger D, 'Assimilation Of Grace Water Storage And SMOS/SMAP Soil Moisture Retrievals Into CABLE Using Particle Smoother', Melbourne (2018)
Co-authors Shin-Chan Han, In-Young Yeo
2018 Ye N, Walker J, Wu X, Yeo I, Jackson T, Kerr Y, et al., 'P-band Passive Microwave Sensing of Soil Moisture: Preliminary Results', MIT Cambridge, MA (2018)
Co-authors In-Young Yeo
2018 Lee S, McCarty G, Lang M, Sadeghi A, Wallace C, Yeo I, 'Analyzing the impacts of a perched layer on wetland hydrology within the Coastal Plain of the Chesapeake Bay Watershed', Detroit, Michigan (2018)
DOI 10.13031/aim.201801281
Co-authors In-Young Yeo
2018 Lee S, Sadeghi A, Yeo I, Lang M, McCarty G, Moglen G, et al., 'Assessing wetland loss impacts on watershed hydrology using an improved modeling approach', New Mexico, USA (2018)
Co-authors In-Young Yeo
2018 Senanayake I, Yeo I, Willgoose GR, Hancock G, Wells T, 'Estimating Soil Moisture at Sub-Watershed Scale for Mine Rehabilitation Monitoring: A Remote Sensing Approach', Newcastle (2018)
Co-authors Greg Hancock, Indishe Senanayake Uon, Garry Willgoose, In-Young Yeo
2018 Bretreger D, Yeo I, Tangdamrongsub N, Kuczera G, Walker J, Willgoose G, Han S, 'Data Assimilation of P-Band Microwaves To Improve Root Zone Soil Moisture Prediction and Monitoring', Newcastle (2018)
Co-authors Shin-Chan Han, Garry Willgoose, George Kuczera, In-Young Yeo
2018 Bretreger D, Yeo I, Tangdamrongsub N, Kuczera G, Walker J, Willgoose G, Han S, 'Assimilating P-band microwave soil moisture observation to improve root zone soil moisture estimation', Melbourne (2018)
Co-authors Garry Willgoose, Shin-Chan Han, George Kuczera, In-Young Yeo
2018 Senanayake IP, Yeo IY, Willgoose GR, Hancock GR, 'Towards sub-catchment scale soil moisture prediction: A combined remote sensing and land surface modelling approach', Hydrology and Water Resources Symposium (HWRS 2018): Water and Communities, Melbourne, VIC (2018) [E1]
Citations Scopus - 1
Co-authors Greg Hancock, In-Young Yeo, Garry Willgoose, Indishe Senanayake Uon
2017 Ye M, Walker J, Yeo I, Jackson T, Kerr Y, Kim E, et al., 'Towards P-band passive microwave sensing of soil moisture', the 22nd International Congress on Modelling and Simulation (MODSIM2017),, Hobart, Tasmania, Australia, DEC 3-8 2017 (2017)
Co-authors In-Young Yeo
2017 Senanayake I, Yeo I, Tangdamrongsub N, Willgoose GR, Hancock GR, Wells T, et al., 'Estimating Soil Moisture at High Spatial Resolution with Three Radiometric Satellite Products: A Study from a South-Eastern Australian Catchment', New Orleans,USA (2017)
Co-authors Indishe Senanayake Uon, Greg Hancock, Garry Willgoose, In-Young Yeo
2017 Han S, Tangdamrongsub N, Yeo I, Dong J, 'Improving groundwater storage and soil moisture estimates by assimilating GRACE, SMOS, and SMAP data into CABLE using ensemble Kalman batch smoother and particle batch smoother frameworks', New Orleans, USA (2017)
Co-authors In-Young Yeo, Shin-Chan Han
2017 Walker J, Ye N, Yeo I, Jackson T, Kerr Y, Kim E, McGrath A, 'Towards P-band Passive Microwave Sensing of Soil Moisture.', Tshwane, South Africa (2017)
Co-authors In-Young Yeo
2017 Yeo I, Lang M, Lee S, Huang C, Jin H, McCarty M, Sadeghi A, 'A data-model integration approach toward improved understanding on wetland functions and hydrological benefits at the catchment scale', New Orleans, USA (2017)
Co-authors In-Young Yeo
2017 Senanayake I, Willgoose GR, Yeo I, Hancock G, 'Drive by Soil Moisture Measurement: A Citizen Science Project', New Orleans, USA (2017)
Co-authors Greg Hancock, In-Young Yeo, Indishe Senanayake Uon, Garry Willgoose
2017 Tangdamrongsub N, Han S, Yeo I, 'Enhancement of water storage estimates using GRACE data assimilation with particle filter framework', MODSIM2017, 22nd International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, Hobart, Tasmania, Australia (2017) [E1]
Citations Scopus - 2
Co-authors Shin-Chan Han, In-Young Yeo
2017 Yeo I, Lang M, Huang C, Yetemen O, 'Evolution of wetland monitoring from inventory to functional assessment and modelling: a case study from a US catchment', The 22nd International Congress on Modelling and Simulation (MODSIM2017), Hobart, Tasmania, Australia (2017) [E1]
Co-authors Omer Yetemen, In-Young Yeo
2017 Binesh A, Yeo I, 'Modelling changing catchment under the climate variability: a case study from a semi-arid catchment in the upper basin of the Goulburn River.', The 22nd International Congress on Modelling and Simulation (MODSIM2017), Hobart, Tasmania, Australia (2017) [E1]
Co-authors In-Young Yeo
2017 Lee S, Sadeghi AM, Yeo IY, McCarty GW, Hively WD, Lang MW, Sharifi A, 'Assessing climate change impacts on winter cover crop nitrate uptake efficiency on the coastal plain of the Chesapeake Bay Watershed using SWAT model', 2017 ASABE Annual International Meeting, Spokane, Washington USA (2017)
DOI 10.13031/aim.201700174
Citations Scopus - 1
Co-authors In-Young Yeo
2017 Senanayake I, Yeo I, Tangdamrongsub N, Willgoose G, Hancock G, Wells T, 'Disaggregation of SMAP radiometric soil moisture measurements at catchment scale using MODIS land surface temperature data', Proceedings of Research@Locate, the academic research stream at the 4th annual conference of Digital Earth & Locate, Sydney, Australia (2017) [E1]
Citations Scopus - 4
Co-authors In-Young Yeo, Garry Willgoose, Indishe Senanayake Uon, Greg Hancock
2017 Senanayake IP, Yeo IY, Tangdamrongsub N, Willgoose GR, Hancock GR, Wells T, et al., 'Downscaling SMAP and SMOS soil moisture retrievals over the Goulburn River Catchment, Australia', Hobart, Tasmania, Australia (2017) [E1]
Citations Scopus - 2
Co-authors In-Young Yeo, Indishe Senanayake Uon, Greg Hancock, Garry Willgoose
2016 Lang M, McCarty G, , Yeo I, et al (25+), 'The Mid-Atlantic Regional Wetland Conservation Effects Assessment Project', -Proceedings of the Fifth Interagency Conference on Research in the Watersheds, North Charleston, South Carolina (2016)
Co-authors In-Young Yeo
2016 Lee S, Sadeghi AM, Yeo IY, Lang MW, McCarty GW, 'Inclusion of riparian wetland module (RWM) into the SWAT model for assessment of wetland hydrological benefits', 21st Century Watershed Technology Conference and Workshop 2016: Improving Quality of Water Resources at Local, Basin and Regional Scales (2016) [E1]

© 2016 American Society of Agricultural and Biological Engineers. All rights reserved. Wetlands are an integral part of many agricultural watersheds. They provide multiple ecosyst... [more]

© 2016 American Society of Agricultural and Biological Engineers. All rights reserved. Wetlands are an integral part of many agricultural watersheds. They provide multiple ecosystem functions, such as improving water quality, mitigating flooding, and serving as natural habitats. Those functions are highly depended on wetland hydrological characteristics and their connectivity to the downstream waters. However, wetland hydrology has been poorly understood at the watershed scale. In this study, we simulated the Soil and Water Assessment Tool (or SWAT) model along with the inclusion of a Riparian Wetland Module (RWM) at Tuckahoe Creek, a sub-watershed within the Choptank River watershed on the Coastal Plain of the Chesapeake Bay watershed. The RWM, a SWAT extension module, was adopted to better simulate interactions between riparian wetlands and nearby streams. The SWAT-RWM was calibrated and validated against observed streamflow collected at the outlet of the watershed and then applied for assessing wetland hydrological benefits. The poster will demonstrate the hydrological benefits of wetlands to stabilize overall flow pattern and reduce peak flow at the storm event. The outcomes of this study will contribute to the enhanced understanding of the hydrological role of wetlands in the watershed.

DOI 10.13031/wtcw.2016003
Co-authors In-Young Yeo
2015 Yeo I, Lee S, Lang M, Huang C, Jin H, McCarty G, 'Integrated landscape-based approach of remote sensing, GIS, and physical modelling to study the hydrological connectivity of wetlands to the downstream water: progress and challenge', San Francisco (2015)
Co-authors In-Young Yeo
2015 Jin H, Yeo I, Huang C, Lang M, 'Subpixel mapping and change analyses of wetland inundation using time-series Landsat imagery: a case study in the East Coast of the U.S.', College Park, MD (2015)
Co-authors In-Young Yeo
2015 Lee S, Yeo I, Sadeghi A, McCarty G, Hively D, Lang M, 'Prediction of climate change impacts on agricultural watersheds and the performance of winter cover crops: Case study of the upper region of the Choptank River Watershed', Chicago, IL (2015)
DOI 10.13031/cc.20152123528
Co-authors In-Young Yeo
2014 Sadeghi A, Lee S, Yeo I, McCarty G, Hively W, Lang M, 'Modeling the Impacts of winter cover crops on water quality using two side-by-side sub-watersheds within the larger Chesapeake Bay watershed in Maryland USA', Pernambuco, Brazil (2014)
Co-authors In-Young Yeo
2014 Jin H, Yeo I, Lang M, Huang C, 'Regional wetland inundation mapping and change monitoring using Landsat and airborne LiDAR data', NASA Land-Cover / Land-Use Change (LCLUC) Program Spring Science Team Meeting, Rockville, MD (2014)
Co-authors In-Young Yeo
2014 Yeo I, Lang M, Lee S, Ping Y, McCarty G, 'Changes in Wetland inundation: Its implication to the climate and downstream hydrology', Tempa, FL (2014)
Co-authors In-Young Yeo
2014 Lang M, Kim V, McCarty G, Yeo I, Huang C, 'Enhanced Detection of Inundation below the Forest Canopy using Multi-Return LiDAR Intensity', Rockville, MD (2014)
Co-authors In-Young Yeo
2014 Yeo I, Jin H, Lang M, Huang C, 'Regional wetland inundation mapping and change monitoring using Landsat and airborne LiDAR data', Rockville, MD. (2014)
Co-authors In-Young Yeo
2014 Lang M, Alexander LC, Yeo I, Huang C, McCarty GW, 'New approaches to reveal inundation dynamics and hydrologic connections in headwater wetlands,', Portland, OR (2014)
Co-authors In-Young Yeo
2014 Lee S, Yeo I, Sadeghi A, McCarty G, Hively D, Lang M, 'Assessing the effectiveness of winter cover crop on nitrate reduction in two-paired sub-basins on the Coastal Plain of the Chesapeake Bay Watershed', San Francisco, US (2014)
Co-authors In-Young Yeo
2014 Yeo I, Lang M, Lee S, McCarty G, Peng Y, Huang C, 'Assessing the cumulative effect of the weather variability on wetlands and the hydrological connection between wetlands and downstream waters,', San Francisco, US (2014)
Co-authors In-Young Yeo
2014 Lang M, Yeo I, Peng Y, Lee S, Huang C, McCarty G, 'Monitoring wetland inundation in response to weather variability using a multi-sensor approach', Beltsville, MD (2014)
Co-authors In-Young Yeo
2014 Yeo I, 'Mapping the relationship between wetland inundation and stream flow', Webinar (2014)
Co-authors In-Young Yeo
2014 Lee E, Han SC, Yeo I, Longo M, Swann AL, Knox RG, et al., 'Evaluating the Amazon water cycle components using ED model against GRACE', San Francisco, US (2014)
Co-authors In-Young Yeo
2014 Jin H, Yeo I, Huang C, Lang M, 'Subpixel mapping of wetland dynamics using time-series Landsat imagery.', San Francisco, US (2014)
Co-authors In-Young Yeo
2013 Sadeghi A, Lee S, Yeo I, McCarty G, Hively D, Lang M, 'Modeling the Impacts of winter cover crops on water quality using two side-by-side sub-watersheds within the larger Chesapeake Bay watershed in Maryland, USA,', Pernambuco, Brazil (2013)
Co-authors In-Young Yeo
2013 Yeo I, Lang M, Huang C, Peng Y, Lee S, Jantz C, 'Mapping and monitoring of wetland dynamics for improved resilience and delivery of ecosystem in the Mid-Atlantic region: Preliminary findings and research progress.', Rockville, MD (2013)
Co-authors In-Young Yeo
2009 Han SC, Luthcke S, Rowlands D, Rodell M, Yeo I, Alsdorf D, et al., 'On the use of GRACE measurements of inter- satellite range-rate (L1B data) for hydrology and climate science', San Francisco, US (2009)
Co-authors In-Young Yeo
2005 Yeo IY, Guldmann JM, Gordon SI, 'Multistage hierarchical optimization for land use allocation to control nonpoint source water pollution', Proceedings of the 2005 Watershed Management Conference - Managing Watersheds for Human and Natural Impacts: Engineering, Ecological, and Economic Challenges (2005)

To effectively and systematically analyze this complex spatial watershed system, a hierarchical optimization approach is proposed. A top-down land allocation scheme is applied to ... [more]

To effectively and systematically analyze this complex spatial watershed system, a hierarchical optimization approach is proposed. A top-down land allocation scheme is applied to determine an optimal land allocation, and then to identify spatial locations of protected lands at a high level of spatial resolution (30 m cell). At the top level, the stormwater runoff simulation model is used to generate peak discharge pseudo data, that are input to a regression analysis, where the functional relationship between peak discharge and land-use variables is approximated as a quadratic function (R 2=0.98%). This function is then used in an optimization model to allocate future land uses (urban, conservation, and agriculture at the subwatershed/catchement level), in a way that minimizes the resulting peak discharge at the watershed outlet. Then, an integrated hydrological-land use optimization (IHLUO) model scheme is developed to (1) investigate the NFS pollution generation/transport mechanisms and spatial variability/interdependencies of land use change impacts on watershed hydrology, (2) systematically evaluate different land-use patterns and their response to rainfall, and (3) search for the optimal land-use pattern at the cell level. The results are very promising, with a 44% reduction of the peak discharge rate as compared to the rate corresponding to the current land-use pattern. The most downstream and upstream areas are to be protected with more conservation, and most urban activities are allocated to the minimal impact subwatershed. Sensitivity analyses are performed and suggest maintaining at least 30% of the land in a conservation state, developing no more than 12% for urban purposes, and no more than 70% for agricultural purposes. The proposed methodology is applied to the Old Woman Creek watershed, located in the southwestern basin of Lake Erie (Ohio).

Citations Scopus - 1
Co-authors In-Young Yeo
2005 Yeo I, Guldmann J-M, Gordon S, 'Multistage (top-down) optimization approach to watershed conservation to control nonpoint source water pollution.', Managing Watersheds for Human and Natural Impacts: Engineering, Ecological, and Economic Challenges, Williamsburg, VA (2005)
DOI 10.1061/40763(178)74
Co-authors In-Young Yeo
Show 52 more conferences

Other (2 outputs)

Year Citation Altmetrics Link
2018 Yeo I, 'An integrated data and model approach toward effective water resources management at the local catchment scale', (2018) [O1]
Co-authors In-Young Yeo
2016 Yeo I, 'Implication of land cover characteristics and change dynamics for water resources management: Sustainable agriculture and conservation practices', (2016) [O1]
Co-authors In-Young Yeo

Report (2 outputs)

Year Citation Altmetrics Link
2018 Yeo I, 'Final Project Report to NASA: Mapping and monitoring of wetland dynamics for improved resilience and delivery of ecosystem services in the Mid-Atlantic region', NASA, 15 (2018)
Co-authors In-Young Yeo
2014 Yeo I, 'Spatial and temporal analysis of wetland change and vulnerability assessment in the Chesapeake Bay watershed', Chesapeake Bay Program s Scientific and Technical Advisory Committee (STAC), (2014)
Co-authors In-Young Yeo
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Grants and Funding

Summary

Number of grants 18
Total funding $4,061,297

Click on a grant title below to expand the full details for that specific grant.


20201 grants / $148,750

Toward Digital Mapping of Soil Moisture$148,750

Funding body: CRC for High Performance Soils

Funding body CRC for High Performance Soils
Project Team Associate Professor In-Young Yeo, Associate Professor Peter Dalhalus, Associate Professor In-Young Yeo, Associate Professor In-Young Yeo
Scheme PhD Scholarship
Role Lead
Funding Start 2020
Funding Finish 2022
GNo G1900955
Type Of Funding CRC - Cooperative Research Centre
Category 4CRC
UON Y

20192 grants / $725,141

Optimal trade-offs for managing environmental water in inland wetlands$531,957

Funding body: ARC (Australian Research Council)

Funding body ARC (Australian Research Council)
Project Team Professor George Kuczera, Associate Professor Jose Rodriguez, Associate Professor Patricia Saco, Associate Professor In-Young Yeo, Dr Li Wen, Professor Paul Bates
Scheme Discovery Projects
Role Investigator
Funding Start 2019
Funding Finish 2021
GNo G1701530
Type Of Funding Aust Competitive - Commonwealth
Category 1CS
UON Y

Critical Underground Pipe Sensing$193,184

Funding body: Sydney Water Corporation

Funding body Sydney Water Corporation
Project Team Professor Robert Melchers, Associate Professor In-Young Yeo
Scheme Research Project
Role Investigator
Funding Start 2019
Funding Finish 2020
GNo G1900376
Type Of Funding C3111 - Aust For profit
Category 3111
UON Y

20181 grants / $5,966

2018 International Visit to University of South Carolina, USA & USDA-ARS Hydrology and Remote Sensing Laboratory, USA$5,966

Funding body: University of Newcastle

Funding body University of Newcastle
Project Team Associate Professor In-Young Yeo, Dr Wade Crow, Professor Venkat Lakshmi
Scheme International Research Visiting Fellowship
Role Lead
Funding Start 2018
Funding Finish 2018
GNo G1700939
Type Of Funding Internal
Category INTE
UON Y

20172 grants / $119,520

Towards P-band soil moisture sensing from space$89,520

Total grant amount of $923,500 with Prof Jeff Walker at Monash University

Funding body: ARC (Australian Research Council)

Funding body ARC (Australian Research Council)
Project Team Associate Professor In-Young Yeo
Scheme Discovery Projects
Role Lead
Funding Start 2017
Funding Finish 2020
GNo G1700180
Type Of Funding Aust Competitive - Commonwealth
Category 1CS
UON Y

To further understanding on Australian croplands and soils$30,000

Funding body: University of Newcastle

Funding body University of Newcastle
Project Team Associate Professor In-Young Yeo
Scheme Women in Research Fellowship
Role Lead
Funding Start 2017
Funding Finish 2018
GNo G1701409
Type Of Funding Internal
Category INTE
UON Y

20161 grants / $2,500

Faculty Conference Travel Grant$2,500

Funding body: Faculty of Engineering and Built Environment - The University of Newcastle (Australia)

Funding body Faculty of Engineering and Built Environment - The University of Newcastle (Australia)
Scheme Faculty Conference Travel Grant
Role Lead
Funding Start 2016
Funding Finish 2016
GNo
Type Of Funding Internal
Category INTE
UON N

20151 grants / $185,000

Conservation Effects Assessment Project (CEAP) - Choptank Watershed Modeling Studies$185,000

Funding body: United State Department of Agriculture (USDA)

Funding body United State Department of Agriculture (USDA)
Project Team

I.Y. Yeo

Scheme US Department of Agriculture
Role Lead
Funding Start 2015
Funding Finish 2017
GNo
Type Of Funding External
Category EXTE
UON N

20142 grants / $936,000

Analysis of GRACE Level-1B and Level-2 Data to Advance Surface Water Hydrological Model,$715,000

Funding body: National Aeronautics and Space Administration (NASA) Gravity Recovery and Climate Experiment (GRACE) Science Team

Funding body National Aeronautics and Space Administration (NASA) Gravity Recovery and Climate Experiment (GRACE) Science Team
Project Team

S.-C. Han, J. Sauber, I.-Y. Yeo

Scheme NASA
Role Investigator
Funding Start 2014
Funding Finish 2017
GNo
Type Of Funding International - Competitive
Category 3IFA
UON N

USDA-ARS, Assessing the effects and effectiveness of conservation practices through advanced geospatial techniques $221,000

Funding body: US Department of Agriculture - Agricultural Research Service (ARS

Funding body US Department of Agriculture - Agricultural Research Service (ARS
Scheme US Department of Agriculture
Role Lead
Funding Start 2014
Funding Finish 2014
GNo
Type Of Funding External
Category EXTE
UON N

20132 grants / $32,000

Regional-scale hydrological implications of forest cover change dynamics: Midterm analysis with multi-temporal satellite data and field observation$28,500

Funding body: University of Maryland

Funding body University of Maryland
Scheme University of Maryland
Role Lead
Funding Start 2013
Funding Finish 2014
GNo
Type Of Funding Internal
Category INTE
UON N

Crafting A Culture of Investment$3,500

Funding body: UMD Advance Program for Inclusive Excellence - National Science Foundation (NSF):

Funding body UMD Advance Program for Inclusive Excellence - National Science Foundation (NSF):
Scheme UMD Advance Program for Inclusive Excellence - National Science Foundation (NSF):
Role Lead
Funding Start 2013
Funding Finish 2013
GNo
Type Of Funding Internal
Category INTE
UON N

20121 grants / $1,071,000

Mapping and monitoring of wetland dynamics for improved resilience and delivery of ecosystem services in the Mid-Atlantic region$1,071,000

Funding body: NASA (National Aeronautics and Space Administration)

Funding body NASA (National Aeronautics and Space Administration)
Project Team

I.Y. Yeo, M. Lang, C. Huang, and C. Jantz

Scheme Project Grant
Role Lead
Funding Start 2012
Funding Finish 2016
GNo
Type Of Funding International - Competitive
Category 3IFA
UON N

20112 grants / $88,500

Trans-disciplinary civic engagement around visualizing climate change in Dorchester County, MD: a Pilot Study$50,000

Funding body: USDA Research, Education, and Economics Information System

Funding body USDA Research, Education, and Economics Information System
Project Team

V. Chanse

Scheme USDA Research, Education, and Economics Information System
Role Investigator
Funding Start 2011
Funding Finish 2012
GNo
Type Of Funding Not Known
Category UNKN
UON N

Mapping and monitoring of wetland dynamics for improved resilience and delivery of ecosystem services at the landscape scale$38,500

Funding body: National Research Foundation

Funding body National Research Foundation
Project Team

I.-Y. Yeo, M. Lang

Scheme National Research Foundation, NSF
Role Lead
Funding Start 2011
Funding Finish 2012
GNo
Type Of Funding Not Known
Category UNKN
UON N

20102 grants / $425,500

Ecosystem services provided by wetlands$397,000

Funding body: US Department of Agriculture - Agricultural Research Service (ARS | United States

Funding body US Department of Agriculture - Agricultural Research Service (ARS | United States
Scheme USDA
Role Lead
Funding Start 2010
Funding Finish 2014
GNo
Type Of Funding External
Category EXTE
UON N

Integrated modeling of adaptation to climate change and other stressors at the local watershed level: the Choptank Case Study$28,500

Funding body: University of Maryland

Funding body University of Maryland
Scheme University of Maryland
Role Lead
Funding Start 2010
Funding Finish 2011
GNo
Type Of Funding Internal
Category INTE
UON N

20091 grants / $321,420

Assessing trajectories, patterns and stressors in marsh loss at the landscape level$321,420

Funding body: NASA (National Aeronautics and Space Administration)

Funding body NASA (National Aeronautics and Space Administration)
Project Team

M. Kearney, I.Y. Yeo

Scheme Project Grant
Role Investigator
Funding Start 2009
Funding Finish 2011
GNo
Type Of Funding International - Competitive
Category 3IFA
UON N
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Research Supervision

Number of supervisions

Completed4
Current8

Current Supervision

Commenced Level of Study Research Title Program Supervisor Type
2021 PhD Addressing the Challenge at the Food-Soil-Water Nexus: An Integrated Data Modelling Approach Using Remotely Sensed Biomass and Water Budget Ensembles PhD (Civil Eng), College of Engineering, Science and Environment, The University of Newcastle Principal Supervisor
2020 PhD Investigating Invasive Species Distributive Threat Post-Cyclone Impact in Samoa PhD (Environmental Sc), College of Engineering, Science and Environment, The University of Newcastle Co-Supervisor
2020 PhD Towards soil moisture profile retrieval using L-band and P-band radiometer observations Civil Engineering, Monash University Co-Supervisor
2019 PhD Regenerative Agriculture: Exploring the Boundaries Environmental Studies, Southern Cross University Co-Supervisor
2018 PhD Soil moisture retrieval from P-band microwave radiometer observations Civil Engineering, Monash University Co-Supervisor
2018 PhD Assessing Assimilation of P-Band Near Surface Soil Moisture into the CABLE Land Surface Model PhD (Environmental Eng), College of Engineering, Science and Environment, The University of Newcastle Principal Supervisor
2017 PhD Study on the Changes of Groundwater Storage Based on GRACE Data in Northern China PhD (Environmental Eng), College of Engineering, Science and Environment, The University of Newcastle Co-Supervisor
2016 PhD Improving Estimation of Stream Flow and Soil Moisture with Remote Sensing and Physical Model PhD (Environmental Eng), College of Engineering, Science and Environment, The University of Newcastle Principal Supervisor

Past Supervision

Year Level of Study Research Title Program Supervisor Type
2020 PhD Estimating Soil Moisture at a High Spatial Resolution with Remote Sensing PhD (Environmental Eng), College of Engineering, Science and Environment, The University of Newcastle Principal Supervisor
2017 PhD The integration of remotely sensed data into a watershed modeling approach to characterize winter cover crop nitrate uptake function and wetland inundation Environmental Engineering, University of Maryland, College Park Sole Supervisor
2016 PhD A SPATIAL-TEMPORAL ANALYSIS OF WETLAND LOSS AND SECTION 404 PERMITTING ON THE DELMARVA PENINSULA FROM 1980 TO 2010 Environmental Studies, University of Maryland, College Park Sole Supervisor
2008 Masters Comparing collegiate soccer and football recruiting patterns: GIS approach Geomatic Eng Not Elswr Classif, University of Maryland, College Park Principal Supervisor
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Research Collaborations

The map is a representation of a researchers co-authorship with collaborators across the globe. The map displays the number of publications against a country, where there is at least one co-author based in that country. Data is sourced from the University of Newcastle research publication management system (NURO) and may not fully represent the authors complete body of work.

Country Count of Publications
Australia 46
United States 44
France 5
India 3
Japan 3
More...
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News

Women In Research Fellowships awarded

October 27, 2017

Thirteen UON researchers have been awarded a Women in Research (WIR) Fellowship thanks to Research Advantage.

Associate Professor In-Young Yeo

Position

Associate Professor
School of Engineering
College of Engineering, Science and Environment

Contact Details

Email in-young.yeo@newcastle.edu.au
Phone (02) 4921 6055
Links Research and Innovation Cluster
Research and Innovation Cluster
Research and Innovation Cluster
YouTube
YouTube
YouTube
SoundCloud
YouTube
YouTube
YouTube
Research Networks

Office

Room EA 127
Building Engineering A
Location Callaghan
University Drive
Callaghan, NSW 2308
Australia
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