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International Geoscience and Remote Sensing Symposium

In 2021 a joint initiative of Belgium and The Netherlands

WE2.MM-10.5

ESTIMATING LOCAL-SCALE GROUNDWATER WITHDRAWALS USING INTEGRATED REMOTE SENSING PRODUCTS AND DEEP LEARNING

Sayantan Majumdar, Ryan Smith, Missouri University of Science and Technology, United States; Brian D. Conway, Arizona Department of Water Resources, United States; James J. Butler Jr., Kansas Geological Survey, University of Kansas, United States; Venkataraman Lakshmi, University of Virginia, United States; Cihan H. Dagli, Missouri University of Science and Technology, United States
Session:
Parameter Retrieval with SAR, LiDAR and New Systems
Track:
Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)
Presentation Time:
Wed, 14 Jul, 11:20-11:25 (UTC)
Wed, 14 Jul, 13:20-13:25 Central Europe Summer Time (UTC +2)
Wed, 14 Jul, 19:20-19:25 China Standard Time (UTC +8)
Wed, 14 Jul, 07:20-07:25 Eastern Daylight Time (UTC -4)
Session Co-Chairs:
Tom Ainsworth, Naval Research Laboratory and Sayantan Majumdar, Missouri University of Science and Technology
Session Manager:
Lemma Tsegaye D.
Presentation
Discussion
Resources
Session WE2.MM-10
WE2.MM-10.1: CHOOSING THE DEPENDENT VARIABLE IN SAR BACKSCATTER - FOREST BIOMASS MODELS
Mark Ducey, University of New Hampshire, United States; Xiaodong Huang, Beth Ziniti, Nathan Torbick, Applied GeoSolutions, LLC, United States
WE2.MM-10.2: RELATIONSHIP BETWEEN ERRORS OF SAR-BASED DIGITAL ELEVATION MODELS AND INFLUENCING FACTORS: WATER VAPOR CONTENTS AND SURFACE DEFORMATION
Yen-Yi Wu, Hsuan Ren, National Central University, Taiwan
WE2.MM-10.3: AN IMPROVED INSAR BASELINE ESTIMATION BASED ON INTERFEROMETRIC FRINGE FREQUENCY
Yuan Wang, Huaping Xu, School of Electronic and Information Engineering, Beihang University, China; Shuang Li, Beijing Institute of Radio Measurement, China; Guobing Zeng, School of Electronic and Information Engineering, Beihang University, China
WE2.MM-10.4: LAND SURFACE TEMPERATURE RETRIEVAL FROM NIGHTTIME MID-INFRARED MODIS DATA USING A SPLIT-WINDOW ALGORITHM
Lingyu Fang, Shandong University of Science and Technology, China; Hua Li, Institute of Remote Sensing and Digital Earth, China; Lin Sun, Ruibo Li, Shandong University of Science and Technology, China
WE2.MM-10.5: ESTIMATING LOCAL-SCALE GROUNDWATER WITHDRAWALS USING INTEGRATED REMOTE SENSING PRODUCTS AND DEEP LEARNING
Sayantan Majumdar, Ryan Smith, Missouri University of Science and Technology, United States; Brian D. Conway, Arizona Department of Water Resources, United States; James J. Butler Jr., Kansas Geological Survey, University of Kansas, United States; Venkataraman Lakshmi, University of Virginia, United States; Cihan H. Dagli, Missouri University of Science and Technology, United States
WE2.MM-10.6: INVESTIGATED THE CAUSE OF SNOW ALBEDO REDUCTION IN THE HIMALAYAN MOUNTAINS BY USING REMOTELY SENSED PRODUCTS
Junzhe Zhang, Xu Xie, Bo Zhou, University of California, Los Angeles, United States
WE2.MM-10.7: MULTI-YEAR SORGHUM BIOMASS PREDICTION WITH UAV-BASED REMOTE SENSING DATA
Taojun Wang, Melba Crawford, Purdue University, United States
WE2.MM-10.8: INVESTIGATION AND VALIDATION OF THE CHINESE FENGYUN-4A LAND SURFACE TEMPERATURE PRODUCTS IN THE HEIHE RIVER BASIN
Yizhen Meng, University of Electronic Science and Technology of China; Hebei University of Engineering, China; Ji Zhou, Jin Ma, University of Electronic Science and Technology of China, China; Zhiyong Long, National University of Defence Technology, China
WE2.MM-10.9: EFFECTS OF DIRECTIONAL ANISOTROPY OF THERMAL INFRARED TEMPERATURE ON LAND SURFACE EVAPOTRANSPIRATION ESTIMATION
Yazhen Jiang, Ronglin Tang, State Key Laboratory of Resources and Environment Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, China; Xiaoguang Jiang, University of Chinese Academy of Sciences, China
WE2.MM-10.10: INTENSITY HARMONIZATION FOR AIRBORNE LIDAR
David Jones, Nathan Jacobs, University of Kentucky, United States

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