H51H:
Remote Sensing Applications for Water Resources Management, Including Irrigation, Droughts, Floods, and Associated Water Cycle Extremes III Posters

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Session ID#: 12552

Session Description:
Water resources management can benefit from remote sensing and hydrologic models. These tools can be especially valuable during extreme events and in data-sparse regions. Observational assets include the GPM, SMAP, Terra, Aqua, Landsat, GRACE, and Sentinel satellites, and other satellite and airborne platforms. They can support the operational water resources community in responding to climate change, increases in climate variability and the frequency of extreme events.  This session will highlight advances in the use of satellite, airborne and ground-based sensor networks to: measure the quantity/quality of hydrologic resources in the U.S. and internationally; provide information to water managers to improve water resources management; and support risk-based decision making. Topics of interest include (1) extreme events such as floods and droughts; (2) water supply and snow water resource monitoring; (3) evapotranspiration, soil moisture, ground water, and agricultural water management; and (4) water quality.
Primary Convener:  Sushel Unninayar, NASA/GSFC-HSL & Morgan State University-DRED, Greenbelt, MD, United States
Conveners:  Richard G Lawford, Morgan State University, Baltimore, MD, United States, Venkataraman Lakshmi, University of Virginia, Civil and Environmental Engineering, Charlottesville, United States and Forrest S Melton, NASA Ames Research Center, Moffett Field, CA, United States
Chairs:  Forrest S Melton, NASA Ames Research Center, Moffett Field, CA, United States, Venkataraman Lakshmi, University of Virginia, Civil and Environmental Engineering, Charlottesville, United States, Sushel Unninayar, NASA/GSFC-HSL & Morgan State University-DRED, Greenbelt, MD, United States and Richard G Lawford, Morgan State University, Baltimore, MD, United States
OSPA Liaison:  Richard G Lawford, Morgan State University, Baltimore, MD, United States

Cross-Listed:
  • A - Atmospheric Sciences
  • GC - Global Environmental Change
  • SI - Societal Impacts and Policy Sciences
Index Terms:

1655 Water cycles [GLOBAL CHANGE]
1855 Remote sensing [HYDROLOGY]
3305 Climate change and variability [ATMOSPHERIC PROCESSES]
4313 Extreme events [NATURAL HAZARDS]

Abstracts Submitted to this Session:

Understanding the Terrestrial Water Cycle Dynamics at Different Scales Using an Integrated Approach: Modeling, Remote Sensing, and In-situ Observations (197804)
Wondwosen M. Seyoum, Illinois State University, Normal, United States and Adam Milewski, University of Georgia, Department of Geology, Athens, United States
Optimal Access to NASA Water Cycle Data for Water Resources Management (149648)
William L Teng1, David K Arctur2, Gonzalo Enrique Espinoza3, Hualan Rui1, Richard F Strub4 and Bruce Vollmer5, (1)ADNET Systems Inc. Greenbelt, Greenbelt, MD, United States, (2)University of Texas at Austin, Austin, TX, United States, (3)IHE Delft Institute for Water Education, Integrated Water Systems & Governance, Delft, Netherlands, (4)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (5)NASA GSFC, GES DISC, Greenbelt, MD, United States
A satellite data-driven, client-server decision support application for agricultural water resources management (194251)
Marco P Maneta, Associate Professor, University of Montana, Geosciences, Missoula, MT, United States, Lee Johnson, CSU Monterey Bay, Seaside, CA, United States and John S Kimball, University of Montana, Numerical Terradynamic Simulation Group, College of Forestry & Conservation, Missoula, MT, United States
Satellite Estimation of Fractional Cover in Several California Specialty Crops (144857)
Lee Johnson1, Michael Cahn2, Carolyn Rosevelt3, Alberto Guzman4, Tom Lockhart5, Barry Farrara5 and Forrest S Melton6, (1)CSU Monterey Bay, Seaside, CA, United States, (2)UC Cooperative Extension, Salinas, United States, (3)California State University Monterey Bay, Seaside, CA, United States, (4)NASA ARC-CREST, Seaside, United States, (5)UC Cooperative Extension, Salinas, CA, United States, (6)NASA Ames Research Center, Moffett Field, CA, United States
Mapping the impact of river regulation on carbon dynamics using coupled field surveys and remotely-sensed optical properties (137532)
Catherine Kuhn, Yale University, New Haven, CT, United States and David E Butman, University of Washington Seattle Campus, Department of Civil & Environmental Engineering; School Environmental & Forest Sciences, Seattle, United States
Tree canopy light interception estimates in almond and a walnut orchards using ground, low flying aircraft, and satellite based methods to improve irrigation scheduling programs. (165668)
Richard C Rosecrance1, Lee Johnson2 and Dominic Soderstrom1, (1)California State University Chico, Chico, CA, United States, (2)CSU Monterey Bay, Seaside, CA, United States
Improving water resources management efficiency for cranberry production (198562)
Alain N Rousseau, Professeur-chercheur titulaire, Institut National de la Recherche Scientifique-Eau Terre Environnement INRS-ETE, Eau Terre Environnement, Quebec City, QC, Canada, Yao Bigah, Institut National de la Recherche Scientifique-Eau Terre Environnement INRS-ETE, Quebec City, QC, Canada and Silvio Gumiere, Laval University, Quebec City, QC, Canada
Calibration of a Complex Watershed Model using High Resolution Remotely Sensed Evapotranspiration Retrievals (130707)
Amirreza Sharifi1,2, Liang Sun3, Martha Anderson4, Gregory Mccarty2, Wade T Crow5, Feng Gao6 and Ali M. Sadeghi2, (1)University of Maryland College Park, College Park, MD, United States, (2)USDA ARS, Hydrology and Remote Sensing Laboratory, Beltsville, MD, United States, (3)USDA ARS, Beltsville, MD, United States, (4)USDA ARS Hydrology and Remote Sensing Lab, Beltsvillle, United States, (5)USDA ARS, Hydrology and Remote Sensing Lab, Beltsville, MD, United States, (6)USDA ARS HRSL, Beltsvillle, MD, United States
Producing daily time series of water levels derived from satellite altimetry for sparsely gauge catchments: A case study in the Mekong River (132275)
Hung Thanh Pham1, Lucy Amanda Marshall2, Fiona Johnson2 and Ashish Sharma3, (1)University of New South Wales, School of Civil and Environmental Engineering, Sydney, Australia, (2)University of New South Wales, School of Civil and Environmental Engineering, Sydney, NSW, Australia, (3)University of New South Wales, Sydney, NSW, Australia
Use of Satellite-based Remote Sensing to inform Evapotranspiration parameters in Cropping System Models (190921)
Sulochan Dhungel, University of Utah, Salt Lake City, UT, United States and Michael E Barber, University of Utah, Civil and Environmental Engineering, Salt Lake City, United States
Integration of Hydrogeophysical Datasets for Improved Water Resource Management in Irrigated Systems (126394)
Catherine Emily Finkenbiner1, Trenton E Franz2, Derek Heeren3, Justin Philip Gibson4 and Matthew Vincent Russell4, (1)Oregon State University, Department of Biological & Ecological Engineering, Corvallis, OR, United States, (2)University of Nebraska Lincoln, School of Natural Resources, Lincoln, United States, (3)University of Nebraska Lincoln, Department of Biological Systems Engineering, Lincoln, United States, (4)University of Nebraska Lincoln, Lincoln, NE, United States
The importance of timing of precipitation for irrigation scheduling (177426)
Eric Hunt, Atmospheric and Environmental Research Lexington, Lexington, MA, United States, Trenton E Franz, University of Nebraska Lincoln, School of Natural Resources, Lincoln, United States and Brian Wardlow, University of Nebraska Lincoln, Lincoln, United States
Assessing inaccuracies in remotely sensed irrigation maps across the High Plains Aquifer (184875)
Jeremy Rapp1, Jill M Deines2, Anthony D Kendall1 and David W Hyndman3, (1)Michigan State University, Department of Earth and Environmental Sciences, East Lansing, MI, United States, (2)Michigan State University, Geology, East Lansing, MI, United States, (3)University of Texas at Dallas, Department of Geosciences, School of Natural Sciences and Mathematics, Richardson, United States
Projected Irrigation Requirement Under Climate Change in Korean Peninsula by Apply Global Hydrologic Model to Local Scale. (133143)
Byungsun Yang, Seoul National University, Seoul, Korea, Republic of (South) and Dong Kun Lee, Seoul National University, Department of Landscape Architecture and Rural System Engineering, Seoul, South Korea
Impact of irrigation over the California Central Valley on regional climate (159206)
Zhao Yang1, Francina Dominguez2, Xubin Zeng3, Huancui Hu4, Hoshin Vijai Gupta3 and Ben Yang5, (1)University of Arizona, Tucson, AZ, United States, (2)University of Illinois at Urbana Champaign, Department of Atmospheric Sciences, Urbana, IL, United States, (3)University of Arizona, Department of Hydrology and Atmospheric Sciences, Tucson, AZ, United States, (4)University of Illinois at Urbana Champaign, Urbana, IL, United States, (5)Nanjing University, Nanjing, China
What are the downstream water availability consequences of switching to more efficient irrigation systems? (167136)
Keyvan Malek, Washington State University, Pullman, WA, United States, Jennifer C Adam, Washington State University, Civil and Environmental Engineering, Pullman, United States, Claudio Stockle, Washington State University, Department of Biological Systems Engineering, Pullman, WA, United States and Michael Brady, Washington State University, School of Economic Sciences, Pullman, United States
Assessment of Irrigation and Wind Turbine Wake Effects on Land-Atmosphere Interactions using High-Resolution Model Simulations (184778)
Patricia Lawston Parker1, Brian Hanson1 and Joseph A Santanello Jr2, (1)University of Delaware, Newark, DE, United States, (2)NASA Goddard Space Flight Center, Code 617, Hydrological Sciences Laboratory, Greenbelt, MD, United States
Hydrologic Response to Irrigation across the Republican River Basin of the High Plains Aquifer (185625)
Xiao Liu, Michigan State University, Earth and Environmental Sciences, East Lansing, MI, United States, Anthony D Kendall, Michigan State University, Department of Earth and Environmental Sciences, East Lansing, MI, United States and David W Hyndman, University of Texas at Dallas, Department of Geosciences, School of Natural Sciences and Mathematics, Richardson, United States
Analysis of Societal Response in Urban Landscape Irrigation due to the Recent California Drought Utilizing Remotely Sensed Satellite and High Resolution Aerial NAIP Imagery (192176)
Valeria Munoz1, Janessa Mendoza1, Jemin Jayden Ha1,2, Brianna Rita Pagán2, Steven A Margulis3 and Jeremy S Pal4, (1)Loyola Marymount University, Department of Civil Engineering and Environmental Science, Los Angeles, CA, United States, (2)University of California Los Angeles, Department of Civil and Environmental Engineering, Los Angeles, CA, United States, (3)University of California, Los Angeles, Department of Civil and Environmental Engineering, Los Angeles, CA, United States, (4)Loyola Marymount University, Los Angeles, CA, United States
Integrated control of landscape irrigation and rainwater harvesting for urban water management (196426)
Jun-Hak Lee, Biplop Dhakal, Seongjin Noh and Dong-Jun Seo, University of Texas at Arlington, Arlington, TX, United States
Feasibility of Multi-decadal Satellite Soil Moisture for Drought Monitoring over India (155030)
Aniket Chakravorty, Dhanya C.T and Vinnarasi Rajendran, Indian Institute of Technology Delhi, Civil Engineering, New Delhi, India
SMAP Soil Moisture Disaggregation using Land Surface Temperature and Vegetation Data (123363)
Bin Fang and Venkataraman Lakshmi, University of Virginia, Civil and Environmental Engineering, Charlottesville, United States
Spatial-temporal Climate System Drivers of Australia’s Total Water Storage and Vegetation Productivity under Hydroclimatic Extremes (171094)
Zunyi Xie, Alfredo R Huete and Xuanlong Ma, University of Technology Sydney, Plant Functional Biology and Climate Change Cluster, Ultimo, NSW, Australia
Enhancing a Remote-Sensing Method for Soil Moisture by Accounting for Regional Soil, Vegetation, and Climatic Characteristics (124204)
Ahmad Shukran Sahaar, Colorado State University, Fort Collins, CO, United States and Jeffrey D Niemann, Colorado State University, Department of Civil and Environmental Engineering, Fort Collins, United States
Inter-Comparison of SMAP, SMOS and GCOM-W Soil Moisture Products (171965)
Rajat Bindlish1,2, Thomas J Jackson2, Steven Chan3, Mariko Sofie Burgin4, Andreas Colliander5 and Michael H Cosh6, (1)Science Systems and Applications, Inc., Lanham, MD, United States, (2)USDA ARS, Hydrology and Remote Sensing Lab, Beltsville, MD, United States, (3)NASA Jet Propulsion Laboratory, Pasadena, United States, (4)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (5)NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (6)U.S. Department of Agriculture ARS, Hydrology and Remote Sensing Laboratory, Beltsville, United States
A Comprehensive Laboratory Study to Improve Ground Truth Calibration of Remotely Sensed Near-Surface Soil Moisture (127066)
Markus Tuller, University of Arizona, Department of Environmental Science, Tucson, AZ, United States, Ebrahim Babaeian, University of Arizona, Tucson, AZ, United States, Morteza Sadeghi, Utah State University, Logan, UT, United States, Wenyi Sheng, China Agricultural University, Beijing, China and Scott B Jones, Utah State University, Plants, Soils, and Climate, Logan, UT, United States
A Novel Optical Model for Remote Sensing of Near-Surface Soil Moisture (127084)
Ebrahim Babaeian, University of Arizona, Tucson, AZ, United States, Morteza Sadeghi, Utah State University, Logan, UT, United States, Scott B Jones, Utah State University, Plants, Soils, and Climate, Logan, UT, United States and Markus Tuller, University of Arizona, Department of Environmental Science, Tucson, AZ, United States
A New Richards' Equation-Based AirMOSS Soil Moisture Retrieval Algorithm (136757)
Morteza Sadeghi, Utah State University, Logan, UT, United States, Alireza Tabatabaeenejad, University of Southern California, Ming Hsieh Department of Electrical and Computer Engineering, Los Angeles, United States, Markus Tuller, University of Arizona, Department of Environmental Science, Tucson, AZ, United States, Ebrahim Babaeian, University of Arizona, Tucson, AZ, United States and Scott B Jones, Utah State University, Plants, Soils, and Climate, Logan, UT, United States
The Influence of Endmember Selection Method in Extracting Impervious Surface from Airborne Hyperspectral Imagery (135483)
Boyu Feng and Jinfei Wang, University of Western Ontario, Geography, London, ON, Canada
A temporal correlation based approach for spatial disaggregation of remotely sensed soil moisture (145868)
Seokhyeon Kim1, Yi Liu2, Fiona Johnson1 and Ashish Sharma2, (1)University of New South Wales, School of Civil and Environmental Engineering, Sydney, NSW, Australia, (2)University of New South Wales, Sydney, NSW, Australia
Soil Moisture Mapping from ASAR Imagery of the Mulargia basin (184750)
Laura Fois and Nicola Montaldo, University of Cagliari, Cagliari, Italy
Quantifying the contribution of groundwater on water consumption in arid crop land with shallow groundwater (127167)
Zailin Huo1, Zhongyi Liu1, Xinwang Wang1 and Zhongyi Qu2, (1)CAU China Agricultural University, Beijing, China, (2)Inner Mongolia Agricultural University, Water Conservancy and Civil Engineering Collegae, Hohhot, China
Geospatial Modelling for Micro Zonation of Groundwater Regime in Western Assam, India (135376)
Ravi Prakash Singh, National Remote Sensing center, Hyderabad, India
Integration of satellite gravity data with ground-based geophysical data for a better understanding of the structural control of groundwater flow in the Nubian Sandstone Aquifer System (186855)
Karem Abdelmohsen1,2, Mohamed Sultan3, Srinivas V Bettadpur4, Himanshu Save5, Mohamed Ahmed6, K.H. Zahran2, Mustafa Kemal Emil3, Ahmed Helaly7, Abotalib Z. A Farag1 and Ahmed Ismaiel7, (1)Western Michigan University, Department of Geological and Environmental Sciences, Kalamazoo, United States, (2)National Research Institute of Astronomy and Geophysics, Helwan, Egypt, (3)Western Michigan University, Department of Geological and Environmental Sciences, Kalamazoo, MI, United States, (4)The University of Texas at Austin, Aerospace Engineering & Engineering Mechanics, Austin, United States, (5)University of Texas at Austin, Center for Space Research, Austin, TX, United States, (6)Texas A&M University- Corpus Christi, Department of Physical and Environmental Sciences, Corpus Christi, United States, (7)Ain Shams Universit, Cairo, Egypt
Correlating GRACE with Standardized Precipitation Indices and Precipitation Gauges for the High Plains Aquifer (139656)
Katherine Ann Miller, University of Wisconsin Stevens Point, Stevens Point, WI, United States and Katherine Clancy, University of Wisconsin Stevens Point, Hydrology, Stevens Point, WI, United States
Satellite-Enhanced Regional Downscaling for Applied Studies: Extreme Precipitation Events in Southeastern South America (153745)
Ana Nunes1, Geraldo Gomes1 and Valeriy Yu Ivanov2, (1)UFRJ Federal University of Rio de Janeiro, Rio De Janeiro, Brazil, (2)University of Michigan Ann Arbor, Ann Arbor, MI, United States
Regional Consistency of Global Precipitation Products and their Interactions with Soil Moisture and Water Storage over the Arabian Peninsula (124286)
Youssef R Wehbe1, Marouane Temimi2, Dawit T Ghebreyesus1 and Adam Milewski3, (1)Masdar Institute of Science and Technology, Abu Dhabi, United Arab Emirates, (2)Masdar Institute of Science and Technology at Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates, (3)University of Georgia, Department of Geology, Athens, United States
Evaluation of Rainfall Satellite Estimates Combined by Hourly Gauge Observations for High Spatial Resolution Over South Brazil (192144)
Rute Costa Ferreira1, Dirceu Luis Herdies2, Daniel A Vila3, Diego Souza4, Jose Roberto Rozante1,2, Thiago Biscaro5, Eder P Vendrasco3 and Cesar Beneti6, (1)CPTEC Center for Weather Forecasts and Climate Research, Cachoeira Paulista, Brazil, (2)Center for Weather Forecasting and Climate Research, Cachoeira Paulista, Brazil, (3)INPE National Institute for Space Research, Sao Jose dos Campos, Brazil, (4)National Center for Monitoring and Early Warning of Natural Disasters - CEMADEN, São José dos Campos, Brazil, (5)INPE National Institute for Space Research, CPTEC, Cachoeira Paulista, Brazil, (6)Parana Meteorological System (SIMEPAR), Curitiba, Brazil
A GIS and Remote Sensing Perspective on the Hydrodynamic Response of the 2014 Kashmir Floods (194002)
Himanshu Tyagi and Anupriya Goyal, Indian Institute of Technology Delhi, Department of Civil Engineering, New Delhi, India
A Framework for Multi-Site Cascading Calibration of Distributed Hydrological Models to Improve Model Spatial Performance Using Remote Sensing Data (161448)
Xianwu Xue1, Ke Zhang1, Yang Hong1, Jonathan J Gourley2 and HyDROS-Lab, (1)University of Oklahoma Norman Campus, Norman, OK, United States, (2)National Severe Storms Lab, Oklahoma City, United States
Improving River Flow Predictions from the NOAA NCRFC Forecasting Model by Incorporating Satellite Observations (177999)
Samuel E Tuttle1, Jennifer M Jacobs2, Pedro J Restrepo3, Michael M Deweese4, Brian Connelly5 and Steve Buan4, (1)University of New Hampshire Main Campus, Durham, NH, United States, (2)University of New Hampshire, Institute for the Study of Earth, Oceans, and Space; Civil and Environmental Engineering, Durham, United States, (3)NOAA Minneapolis, Minneapolis, MN, United States, (4)NOAA/NWS/North Central River Forecast Center, Chanhassen, MN, United States, (5)NOAA/NWS/North Central River Forecast Center, Chanhassen, United States
Impacts of Real-time Satellite-derived Vegetation on WRF-Hydro Simulated Streamflow (141920)
Nicholas J Elmer, University of Alabama in Huntsville, Huntsville, AL, United States, Bradley Zavodsky, NASA Marshall Space Flight Center, Huntsville, AL, United States, Andrew Molthan, NASA Marshall Space Flight Center, Earth Science Branch, Huntsville, United States, Jonathan Case, ENSCO, Inc./NASA Marshall Space Flight Center, Huntsville, AL, United States and Clay B Blankenship, USRA, Huntsville, AL, United States
Innovative Technique for High-Accuracy Remote Monitoring of Surface Water (190099)
Andrew Gisler1, Rory Alistair Barton-Grimley2, Jeffrey P Thayer3 and Geoff Crowley1, (1)Atmospheric and Space Technology Research Associates, LLC, Boulder, CO, United States, (2)University of Colorado at Boulder, Boulder, CO, United States, (3)University of Colorado at Boulder, Smead Aerospace Engineering Sciences, Boulder, United States
Accuracy comparison in mapping water bodies using Landsat images and Google Earth Images (197683)
Zhaoming Zhou, Montana Tech of The University of Montana, Geophysical Engineering, Butte, MT, United States and Xiaobing Zhou, Montana Technological University, Geological Engineering, Butte, United States
Mapping long-term wetland response to climate (176191)
Qiang Zhou, ASRC Federal, Contractor to the USGS Earth Resources Observation and Science (EROS) Center Sioux Falls, Sioux Falls, United States, Alisa Gallant, U.S. Geological Survey, Sioux Falls, SD, United States and Jennifer Rover, USGS, Earth Resource Observation and Science, Baltimore, MD, United States
Mapping inter-annual dynamics of open surface water bodies in Oklahoma from Landsat images in 1984 to 2015 at 30-m spatial resolution (181785)
Zhenhua Zou1, Xiangming Xiao2, Michael Menarguez3, Jinwei Dong4 and Yuanwei Qin4, (1)University of Maryland College Park, Department of Geographical Sciences, College Park, United States, (2)University of Oklahoma Norman Campus, School of Biological Sciences, Norman, United States, (3)LinkedIn, San Francisco, CA, United States, (4)University of Oklahoma Norman Campus, Norman, OK, United States
Long-term of analysis of MODIS, NDVI and NDWI for the Mesopotamian Marshlands, Iraq. (120997)
Reyadh Albarakat, University of South Carolina Columbia, Columbia, SC, United States and Venkataraman Lakshmi, University of Virginia, Civil and Environmental Engineering, Charlottesville, United States
Combined Landsat Satellite and HJ Satellite for Monitoring Large Alpine Lakes on the Changtang Plateau over 2009-2014 (137397)
Kehan Yang, PhD1, Fangfang Yao2, Jiancheng Luo1, Zhanfeng Shen3 and Chao Wang4, (1)Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, State Key Laboratory of Remote Sensing Science, Beijing, China, (2)University of Colorado at Boulder, Cooperative Institute for Research in Environmental Sciences, Boulder, United States, (3)Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, National Engineering Research Center for Geoinformatics, Beijing, China, (4)University of Puerto Rico Rio Piedras Campus, San Juan, PR, United States
Globally mapping seasonal fluctuations of the open surface water extent independent of cloud mask using MODIS data (146725)
Rong Shang1, Ronggao Liu1, Yang Liu1, Mingzhu Xu2 and Lu Zuo1, (1)IGSNRR Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing, China, (2)Nanjing University, International Institute for Earth System Science, Nanjing, China
Jason-3 river water elevation measurements accuracy over France (152178)
Sylvain Biancamaria1, Thomas Schaedele1, Denis Blumstein2, Frederic Frappart3, Francois Boy2, Jean-Damien Desjonqueres4, Fernando Nino1 and Fabien Blarel1, (1)LEGOS, Toulouse, France, (2)CNES French National Center for Space Studies, Toulouse Cedex 09, France, (3)LEGOS Laboratoire d'Etudes en Géophysique et Océanographie Spatiales, Toulouse, France, (4)CNES, Toulouse, France
Three Decades of Landsat-derived Spring Surface Water Dynamics in an Agricultural Wetland Mosaic; Implications for Migratory Shorebirds (161419)
Danica Schaffer-Smith1, Jennifer J Swenson1, Blake A Barbaree2 and Matthew Edward Reiter2, (1)Duke University, Nicholas School of the Environment, Durham, NC, United States, (2)Point Blue Conservation Science, Petaluma, CA, United States
Generation of Data Series in order to study behavior of two lakes of Enriquillo and Azuei in Hispaniola Island (170495)
Mahrokh Moknatian, CUNY Hunter College, New York, NY, United States and Michael Piasecki, CUNY City College of New York, New York, NY, United States
Hydro-climatic Investigation of Lake Urmia Shrinkage using Remote Sensing  (175131)
Bahram Khazaei, University of Wisconsin Milwaukee, Department of Civil & Environmental Engineering, Milwaukee, WI, United States, Sina Khatami, University of Melbourne, Parkville, VIC, Australia, Lida Rashidi, University of Melbourne, Parkville, Australia and Kaveh Madani, Imperial College London, London, SW7, United Kingdom
Bridging the Past with Today’s Microwave Remote Sensing: A Case Study of Long Term Inundation Patterns in Two River Deltas (184563)
Kat Jensen1, Kyle C McDonald2, Ronny Schroeder2 and Zachary D Tessler3, (1)CUNY Graduate Center, New York, NY, United States, (2)CUNY City College of New York, New York, NY, United States, (3)CUNY City College of New York, Environmental Sciences Initiative, New York, NY, United States
Reconstructing surface hydrological change from 1973 to 2010 in the Arkavathy watershed near Bangalore, India (191346)
Gopal Penny1, Veena Srinivasan2, Sharachchandra Lele2, Iryna Dronova3 and Sally E Thompson4, (1)National University of Singapore, Department of Geography, Singapore, Singapore, (2)Ashoka Trust for Research in Ecology and the Environment, Bangalore, India, (3)University of California Berkeley, Depts. of Environmental Science, Policy & Management and Landscape Architecture and Environmental Planning, Berkeley, CA, United States, (4)University of California Berkeley, Civil and Environmental Engineering, Berkeley, CA, United States
Landsat-8/OLI images has the potential to estimate the CDOM absorption coefficient in tropical inland water (123756)
Enner Alcantara, UNESP São Paulo State University, Environmental Engineering, São José dos Campos, Brazil and Nariane Bernardo, UNESP Sao Paulo State University, Cartography, Presidente Prudente, Brazil

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