H33I:
Advances in Remote Sensing Hydrology III Posters


Submit an Abstract to this Session


Session ID#: 44696

Session Description:
Many advances have occurred in remote sensing and earth observation during recent decades and a new sub-discipline of Hydrology has emerged called Remote Sensing Hydrology. These advances, by providing observation in space-time that were not available by traditional hydrological observations, have enabled many hydrological science and engineering problems to be solved more effectively. This session aims to share the latest developments in remote sensing hydrology, discuss the challenges and possible solutions, and present future research and application directions. Topics to be addressed include but not limited to sensors, platforms, remote sensing products, and the latest international campaigns and initiatives with relevance to remote sensing hydrology; the latest progress in theories and methods for remote sensing monitoring and estimation of hydrological variables and its assimilation for hydrometeorological modelling and predictions; applications of remote sensing technology and products in hydrology, water resources, environment, ecosystems, flood monitoring and prediction.
Primary Convener:  Yangbo Chen, Sun Yat-Sen University, School of Geography and Planning, Guangzhou, China
Conveners:  Dawei Han, University of Bristol, School of Civil, Aerospace and Design Engineering, Bristol, United Kingdom, Kuo-lin Hsu, University of California, Irvine, Department of Civil and Environmental Engineering, Irvine, United States and Yu Zhang, University of Texas at Arlington, Department of Civil Engineering, Arlington, United States
Primary Liaison:  Yangbo Chen, Sun Yat-Sen University, School of Geography and Planning, Guangzhou, China
Chairs:  Kuo-lin Hsu, University of California, Irvine, Department of Civil and Environmental Engineering, Irvine, United States and Yangbo Chen, Sun Yat-Sen University, School of Geography and Planning, Guangzhou, China
OSPA Liaison:  Kuo-lin Hsu, University of California, Irvine, Department of Civil and Environmental Engineering, Irvine, United States
Index Terms:

1836 Hydrological cycles and budgets [HYDROLOGY]
1840 Hydrometeorology [HYDROLOGY]
1848 Monitoring networks [HYDROLOGY]
1855 Remote sensing [HYDROLOGY]

Abstracts Submitted to this Session:

Modified Mann-Kendall Trend Test Procedure for Hydrologic Time Series under the Scaling Hypothesis (350793)
Zichen Hu and Shuguang Liu, Tongji University, Department of Hydraulic Engineering, Shanghai, China
Retrieving Topography from Landsat 8 in Lake Donghu, China (358141)
Junbo Wang and Yanjun Zhang, Wuhan University, Wuhan, China
Using Unmanned Aerial Vehicle to Obtain Gray Level Digital Images and Estimating In-Situ Soil Water Content. (367117)
Ching-Hsiung Wang1, Hong-Ru Lin2, Jyun-Lin Chen3, Shao-Yang Huang3 and Jet-Chau Wen4,5, (1)Douliou, Taiwan, (2)NYUSUT National Yunlin University of Science and Technology, Graduate School of Engineering Science and Technology, Yulin, Taiwan, (3)National Yunlin University of Science and Technology, Research Center for Soil and Water Resources and Natural Disaster Prevention (SWAN), Douliou, Taiwan, (4)NYUSUT National Yunlin University of Science and Technology, Yulin, Taiwan, (5)National Yunlin University of Science and Technology, Department and Graduate School of Safety Health and Environmental Engineering, Douliou, Taiwan
Vegetation increase narrowed differences between surface and deep soil water effects on evapotranspiration in a forest–grass transition zone (367517)
Yinglan A1, Guoqiang Wang2, Baolin Xue2 and Qingqing Fang II2, (1)Beijing Normal University, College of Water Sciences, Beijing, China, (2)Beijing Normal University, Beijing, China
A Ground Verification Method of Soil Moisture at the Pixel Scale based on Ground-penetrating Radar (368036)
Yizhu Lu, China Institute of Water Resources and Hydropower Research, Beijing, China
Multi-objective risk analysis of cascade reservoirs scheduling based on Evolve genetic optimization algorithm (384731)
Jiqing LI, Beijing, China, Pengteng Liang, Shenzhen Water Planning Institute, Shenzhen, China, Jianchang Li, North China Electric Power University, Beijing, China and Xiaohui Lei, China Institute of Water Resources and Hydropower Research, Department of Water Resources, Beijing, China
Climate Change Adaptation to ManagE the Risks of Extreme HydrologicaL and Weather Events for Food Security in Vulnerable West Nile Delta (CAMEL) (385505)
Dawei Han1, Chien-Nien Chen2, Khaled Kheireldin Prof3, Miguel Angel Rico-Ramirez1 and Mahmoud Roushdi Dr3, (1)University of Bristol, School of Civil, Aerospace and Design Engineering, Bristol, United Kingdom, (2)University of Bristol, Civil Engineering, Bristol, United Kingdom, (3)National Water Research Center, Cairo, Egypt
Assessing water resources in the Kaidu River Basin of Northwest China with hydrological modeling and remote sensing data (385807)
Weihong Li and Chenggang Zhu, State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, China
Extracting Water Bodies from Remote Sensing imagery Based on One-class Convolutional Neural Networks (389251)
Guoming Du, Sun Yat-Sen University, Guangzhou, China
The effect of climate change in Tienshan Mountains and Kunlun Mountains on runoff in Tarim River Basin, Northwest China (390354)
Jie Bai, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, China and JunLi Li, Xinjiang Inst. Eco & Geography, Urumqi, China
A new Coordinate Transformation Method Based on ABC Least Squares Algorithm (390543)
Penglei Niu and Guoming Du, Sun Yat-Sen University, Guangzhou, China
Probabilistic Mapping of Water Bodies Using Space-borne Synthetic Aperture Radar (398538)
Sonam Futi Sherpa1, Manoochehr Shirzaei2 and Susanna Werth2,3, (1)University of Utah, School of Environment Society and Sustainability, Salt Lake City, UT, United States, (2)Virginia Tech, Department of Geosciences, Blacksburg, United States, (3)Arizona State University, Tempe, AZ, United States
Contrasting groundwater depletion patterns induced by anthropogenic and climate-driven reasons on the Alxa Plateau (430023)
Tianye Wang1, Jingjie Yu2, Ping Wang2, Yichi Zhang2, Chaoyang Du2 and Yuanhao Fang3, (1)Beijing, China, (2)IGSNRR Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing, China, (3)University of Arizona, Hydrology and Atmospheric Sciences, Tucson, AZ, United States
Assessment of the Distribution and the Factors Controlling the Rise in Groundwater Levels in Mecca Region, Saudi Arabia (447165)
Fahad Alshehri1,2, Mohamed Sultan3, Hassan Alharbi4, Essam Alwagdani4, Mustafa Kemal Emil3 and Sita Karki3, (1)King Saud University, Geology and Geophysics, Riyadh, Saudi Arabia, (2)King Saud University, Department of Geology and Geophysics, Riyadh, Saudi Arabia, (3)Western Michigan University, Department of Geological and Environmental Sciences, Kalamazoo, MI, United States, (4)Saudi Geological Survey, Jeddah, Saudi Arabia
Assessment of Landsat Harmonized sUAS Reflectance Products Using Point Spread Function (PSF) on Vegetation Indices (VIs) and Evapotranspiration (ET) Using the Two-Source Energy Balance (TSEB) Model (451095)
Mahyar Aboutalebi, Utah State University, Department of Civil and Environmental Engineering, Logan, UT, United States, Alfonso F Torres-Rua, Utah State University, Department of Civil and Environmental Engineering, Logan, United States, Mac McKee, Utah Water Research Lab, Utah State University, Department of Civil and Environmental Engineering, Logan, UT, United States, Hector Nieto, Research & Technology Food & Agriculture, Lleida, Spain, William P Kustas, U. S. Department of Agriculture, Agricultural Research Service, Hydrology and Remote Sensing Laboratory, Beltsville, United States, John H Prueger, U. S. Department of Agriculture, Agricultural Research Service, National Laboratory for Agriculture and Environment, Ames, United States, Lynn McKee, U. S. Department of Agriculture, Agricultural Research Service, Hydrology and Remote Sensing Laboratory, Beltsville, MD, United States, Joseph G Alfieri, USDA Agricultural Research Service, Hydrology and Remote Sensing Laboratory, Beltsville, MD, United States, Lawrence Hipps, Utah State University, Plants, Soils and Climate Department, Logan, United States and Calvin Coopmans, Utah State University, Electrical Engineering, Logan, United States
Fine flood processes observation in urban area with remote sensing techniques (452274)
Zexing Liu, Sun Yat-Sen University, Guangzhou, China and Yangbo Chen, Sun Yat-Sen University, School of Geography and Planning, Guangzhou, China
Is it practically feasible for mountainous watershed flood forecasting by using distributed hydrological model with satellite based cross-section estimation (459087)
Yangbo Chen, Sun Yat-Sen University, School of Geography and Planning, Guangzhou, China
Estimating Groundwater Pumping at High Spatial Resolution Using METRIC Evapotranspiration (462153)
Azzah Hassan, Texas A&M University College Station, College Station, TX, United States, Nandita Gaur, Texas A&M University, College Station, United States and Peter Knappett, Texas A&M University, Department of Geology and Geophysics, College Station, TX, United States
Evaluation and Hydrologic Validation of Satellite-based Precipitation Datasets over the Upper Catchment of the Red River Basin, China (344599)
Yueyuan Zhang II, Sun Yat-Sen University, Guangzhou, China and Yungang Li, Yunnan University, Kunming, China
Microwave Attenuation in a Maize Canopy in Relation to Vegetation Water Column Density (356255)
Richard Cirone and Brian K Hornbuckle, Iowa State University, Ames, IA, United States
Evaluating a Remote Sensing Approach to Estimate Root-Zone Soil Moisture Accounting For Regional Characteristics (371193)
Ahmad Shukran Sahaar1, Jeffrey D Niemann2 and Ayman Elhaddad1, (1)Colorado State University, Fort Collins, CO, United States, (2)Colorado State University, Department of Civil and Environmental Engineering, Fort Collins, United States
Analysis of Snowmelt Runoff in the Lhasa River Basin (366481)
Ke ke Zhao1,2, Dingzhi Peng1,2, Chu ting Fan1,2 and Yu Gu1,2, (1)College of Water Science, Beijing Normal University, Beijing, China, (2)Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, Beijing, China
Accuracy estimation of high-resolution satellite-based precipitation over the Guangdong Province, China. (344652)
Xue LI, Sun Yat-Sen University, Guangzhou, China
Analysis of heavy rainfall spatiotemporal characteristics induced by typhoon Nida based on PERSIANN estimated precipitation (344570)
Jiayang Zhang, Sun Yat-Sen University, Guangzhou, China, Yangbo Chen, Sun Yat-Sen University, School of Geography and Planning, Guangzhou, China and Kuo-lin Hsu, University of California, Irvine, Department of Civil and Environmental Engineering, Irvine, United States
Identification and calibration of snow parameters for a distributed conceptual hydrological model using the MODIS snow cover images (383226)
Rui Tong1, Jürgen Komma1, Juraj Parajka2 and Doris Düthmann1, (1)Vienna University of Technology, Institute of Hydraulic Engineering and Water Resources Management, Vienna, Austria, (2)Institute of Hydraulic Engineering and Water Resources Management, TU Wien, 1040 Vienna, Austria and Centre for Water Resource Systems, TU Wien, 1040 Vienna, Austria, Vienna, Austria
Application of Different Remote Sensing Evapotranspiration Estimate Models in Urban Agglomeration Areas (344592)
Tao Zhang and Yangbo Chen, Sun Yat-Sen University, School of Geography and Planning, Guangzhou, China
Retrieval of Daily 500-m Soil Moisture Content Using Satellite Images and Meteorological Dataset with Deep Neural Network (389996)
Yeongho KIM, Pukyong National University, Busan, Korea, Republic of (South) and Yang-Won Lee, Department of Spatial Information Engineering, Division of Earth Environmental System Science, Pukyong National University, Busan, South Korea
How does the evaluation of GPM IMERG rainfall product depend on gauge density and rainfall intensity? (405467)
Shiyu Hou, Tsinghua University, Beijing, China
Evaluation of GPM Day-1 IMERG dataset with the point rain gauge records over the Netherlands and Sichuan province, China (367523)
Mengxi Yang and Guodong Liu, Sichuan University, Chengdu, China
Hydrological assessment of the latest multi-satellite precipitation analysis IMERG over Nanliu River Basin in Southern China (427787)
Zhenqing Liang1, Sheng Chen2, Chaoying Huang3, Chao Min4, Asi Zhang4, Duan Lian1, Li Zhi1 and Baoqing Hu5, (1)Guangxi Teachers Education University, Key Laboratory of Beibu Gulf Environmental Evolution and Resources Utilization, Nanning, China, (2)State Key Laboratory of Tropical Oceanography, SCSIO, Chinese Academy of Sciences, Guangzhou, China, (3)Sun Yat-sen University, Zhuhai, China, (4)Sun Yat-Sen University, School of Atmospheric Sciences, Guangzhou, China, (5)Guangxi Teachers Education University, Key Laboratory of Beibu Gulf Environmental Evolution and Resources Utilization, Nanning，Guangxi, China
Quantitative Evaluation of Weather Radar Reflectivity and Rainfall Intensity Relationship Parameters Uncertainty using Bayesian Inference Technique (367296)
Tae-Jeong Kim and Hyun-han Kwon, Chonbuk National University, Jeonju, Korea, Republic of (South)
Accuracy Evaluation of A Variety of Satellite-Derived Precipitation Products in Beijing City (352830)
Meifang Ren1, Zongxue Xu2,3, Bo Pang1, Wenfeng Liu4 and Jiangtao Liu1, (1)Beijing Normal University, Beijing, China, (2)La Jolla, CA, United States, (3)BNU Beijing Normal University, College of Water Sciences, Beijing, China, (4)China Agricultural University, State Key Laboratory of Efficient Utilization of Agricultural Water Resources, Beijing, China
Automated water body detection and exploring the water level variations using X-band SAR images (427763)
Yoon-Kyung Lee, Sejong University, Seoul, Korea, Republic of (South) and Sang-Wan Kim, Sejong University, Geoinformation Engineering, Seoul, South Korea
Effect of climate change on water resources of a highly glacierized watershed in the Tienshan Mountains (426813)
Huiping Ji and Yaning Chen, State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, China
Estimating Chlorophyll-a Concentrations in Coastal Waters of the U.S. Virgin Islands using NASA’s New Generation Landsat 8 OLI Satellite Sensor (417012)
Noah Katz1, K Adam Ali1, Joseph D. Ortiz2, Marilyn Brandt3, Tyler B Smith4 and Michael G Shahin5, (1)College of Charleston, Department of Geology and Environmental Geosciences, Charleston, SC, United States, (2)Kent State University, Department of Geology, Kent, OH, United States, (3)University of the Virgin Islands, St. Thomas, United States, (4)University of the Virgin Islands, Center for Marine and Environmental Studies, St. Thomas, United States, (5)University of Kansas, Department of Geology, Lawrence, United States
GEONEX Real-time hourly 1-km weather data for the conterminous US for land surface modeling using GOES/ABI data (395221)
Hirofumi Hashimoto1, Weile Wang2, Jun Xiong3, Shuang Li4, Sangram Ganguly5, Hideaki Takenaka6, Atsushi Higuchi7, Tsengdar J Lee8 and Ramakrishna R Nemani4, (1)California State University Monterey Bay, Seaside, CA, United States, (2)NASA/AMES Research Center, Moffett Field, United States, (3)NASA Ames Research Center / BAERI, Moffett Field, CA, United States, (4)NASA Ames Research Center, Moffett Field, CA, United States, (5)Rhombus Power, Palo Alto, United States, (6)Chiba University, Chiba, Japan, (7)Center for Environmental Remote Sensing, Chiba University, Chiba, Japan, (8)NASA, Washington, United States
Remote Connectivity and Hydromorphology Analysis of South Canadian River (438325)
Victoria A Natalie, Oklahoma State University, Unmanned Systems Research Institute, Stillwater, United States
Obtaining A Spatial and Temporal Continuum Soil Moisture Dataset Based on Remote Sensing Products over the Tibet Plateau From 2002 to 2015 (399921)
Yaokui Cui, Peking University, Institute of Remote Sensing and GIS, School of Earth and Space Sciences, Beijing, China, Chao Zeng, Wuhan University, Beijing, China, Jie Zhou, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China and Yang Hong, Institute of RS and GIS,Peking University, Beijing, China

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