Dr In-Young Yeo

Senior Lecturer

School of Engineering

Career Summary

Qualifications

  • Doctor of Philosophy, Ohio State University - USA
  • Bachelor of Civil Engineering, Seattle University
  • Master of Science, Ohio State University - USA

Keywords

  • Watershed Systems and Sustainability
  • Land Use Sciences
  • Geographic Information Systems and Remote Sensing
  • Spatial Optimization and Decision Making
  • Water Engineering
  • Hydrology
  • Nonpoint Source Water Pollution
  • Environmental Engineering

Languages

  • English (Fluent)
  • Korean (Mother)

Fields of Research

Code Description Percentage
040699 Physical Geography and Environmental Geoscience not elsewhere classified 30
090799 Environmental Engineering not elsewhere classified 30
090903 Geospatial Information Systems 40

Professional Experience

UON Appointment

Title Organisation / Department
Senior Lecturer University of Newcastle
School of Engineering
Australia

Academic appointment

Dates Title Organisation / Department
1/09/2006 - 1/01/2015 Assistant Professor University of Maryland, College Park
United States
1/01/2006 - 31/05/2006 Visting Assistant Professor Cornell University, USA
United States
1/08/2005 - 31/12/2005 Lecturer The Ohio State University
United States
1/06/2002 - 31/05/2004 Graduate Research Fellow National Oceanic and Atmospheric Administration(NOAA) The Estuarine Research Federation
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
2002 Best Student Project Award
Ohio State University

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

Research Award

Year Award
2004 Summer Dissertation Research Award, Environmental Policy Initative
Ohio State University
2002 NOAA-NERR Graduate Research Fellowship (02-04)
NOAA

Scholarship

Year Award
2005 Jerrold R. Voss Scholarship
Ohio State University
2004 EPI Graduate student travel award
Ohio State University
2003 Graduate student travel support award
NOAA
2003 Graduate Student travel support 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 1/08/2015 - 31/12/2015
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 1/08/2015 - 9/12/2015
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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 (22 outputs)

Year Citation Altmetrics Link
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 - 2Web of Science - 1
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
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
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 - 1Web of Science - 2
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
Co-authors In-Young Yeo
2017 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, (2017)

© 2017 Elsevier Ltd. This study presents an integrated wetland-watershed modeling approach that capitalizes on inundation maps and geospatial data to improve spatial prediction of... [more]

© 2017 Elsevier Ltd. This study presents an integrated wetland-watershed modeling approach that capitalizes on inundation maps and geospatial data to improve spatial prediction of wetland inundation and assess its prediction uncertainty. We outline problems commonly arising from data preparation and parameterization used to simulate wetlands within a (semi-) distributed watershed model. We demonstrate how wetland inundation can be better captured by the wetland parameters developed from remotely sensed data. We then emphasize assessing model prediction using inundation maps derived from remotely sensed data. This integrated modeling approach is tested using the Soil and Water Assessment Tool (SWAT) with an improved riparian wetlands (RWs) extension, for an agricultural watershed in the Mid-Atlantic Coastal Plain, US. This study illustrates how spatially distributed information is necessary to predict inundation of wetlands and hydrologic function at the local landscape scale, where monitoring and conservation decision making take place.

DOI 10.1016/j.envsoft.2017.11.001
Citations Scopus - 3
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 - 8Web of Science - 8
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 - 1Web of Science - 1
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 - 10Web of Science - 7
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 NO3cycling 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 NO3lost 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 - 10Web of Science - 9
Co-authors In-Young Yeo
2014 Yeo IY, Lang M, Vermote E, 'Improved understanding of suspended sediment transport process using multioral 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)
DOI 10.1109/JSTARS.2013.2265191
Citations Scopus - 4
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 - 57
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 - 15Web of Science - 13
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 - 12
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 - 38
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 - 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 - 14Web of Science - 13
Co-authors Shin-Chan Han, In-Young Yeo
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 - 3Web of Science - 4
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 - 36Web of Science - 31
Co-authors Shin-Chan Han, In-Young Yeo
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 - 12Web of Science - 7
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 - 11Web of Science - 10
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 - 19Web of Science - 6
Co-authors In-Young Yeo
Show 19 more journal articles

Conference (44 outputs)

Year Citation Altmetrics Link
2018 Ye N, Walker J, Boopathi N, Jackson T, Kerr Y, Kim E, 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)
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 J, Rao Y, Jackson T, 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)
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 In-Young Yeo, Indishe Senanayake Uon, Greg Hancock, Garry Willgoose
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 In-Young Yeo, Garry Willgoose, Shin-Chan Han, George Kuczera
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 In-Young Yeo, Garry Willgoose, George Kuczera, Shin-Chan Han
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 In-Young Yeo, Indishe Senanayake Uon, Greg Hancock, Garry Willgoose
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, Garry Willgoose, In-Young Yeo
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]
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 In-Young Yeo, Omer Yetemen
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
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]
Co-authors Greg Hancock, Indishe Senanayake Uon, Garry Willgoose, In-Young Yeo
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]
Co-authors Greg Hancock, Indishe Senanayake Uon, In-Young Yeo, 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)

© 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 (R2=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
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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 15
Total funding $3,175,503

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


Highlighted grants and funding

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

20181 grants / $6,000

2018 International Visit to University of South Carolina, USA & USDA-ARS Hydrology and Remote Sensing Laboratory, USA$6,000

Funding body: University of Newcastle

Funding body University of Newcastle
Project Team Doctor In-Young Yeo, Professor Venkat Lakshmi, Dr Wade Crow
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 / $107,583

Towards P-band soil moisture sensing from space$77,583

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 Doctor In-Young Yeo
Scheme Discovery Projects
Role Lead
Funding Start 2017
Funding Finish 2019
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 Doctor 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)
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

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

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

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

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

Completed3
Current5

Total current UON EFTSL

PhD3.2

Current Supervision

Commenced Level of Study Research Title Program Supervisor Type
2018 PhD Assessing Assimilation of P-Band Near Surface Soil Moisture into the CABLE Land Surface Model PhD (Environmental Eng), Faculty of Engineering and Built Environment, The University of Newcastle Principal Supervisor
2018 PhD Regenerating the South Maitland Coal Field: Can Space-Time High-Resolution Geospatial Analysis Predict the Capacity of a Mining Landscape for Remediation and Transition to Sustainable Urbanism? PhD (Environmental Eng), Faculty of Engineering and Built Environment, The University of Newcastle Principal Supervisor
2017 PhD Ground Water Storage Changes in Major River Basins in China from Geodetic and Remote Sensing Techniques PhD (Environmental Eng), Faculty of Engineering and Built 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), Faculty of Engineering and Built Environment, The University of Newcastle Principal Supervisor
2016 PhD Estimating Soil Moisture at a High Spatial Resolution with Remote Sensing PhD (Environmental Eng), Faculty of Engineering and Built Environment, The University of Newcastle Principal Supervisor

Past Supervision

Year Level of Study Research Title Program Supervisor Type
2017 PhD The integration of remotely sensed data into a watershed modeling approach to characterize winter cover crop nitrate uptake function and wetland inundation Natural and Physical Sciences, 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 Enviro Studies Not Elswr Class, University of Maryland, College Park Sole Supervisor
2008 Masters Comparing collegiate soccer and football recruiting patterns: GIS approach Human Geography, 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
United States 24
Australia 14
Japan 3
Canada 1
France 1
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.

Dr In-Young Yeo

Position

Senior Lecturer
School of Engineering
Faculty of Engineering and Built Environment

Contact Details

Email in-young.yeo@newcastle.edu.au
Phone (02) 4921 6055

Office

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