TH2.S1.1
IMPROVING EVAPOTRANSPIRATION ESTIMATION USING REGIONAL FORCING DATASETS ON THE TIBETAN PLATEAU
Chaolei Zheng, Li Jia, Aerospace Information Research Institute, Chinese Academy of Sciences, China; Tianwang Dong, School of Geography, Geomatics and Planning, Jiangsu Normal University, China; Guangcheng Hu, Min Jiang, Jing Lu, Qiting Chen, Aerospace Information Research Institute, Chinese Academy of Sciences, China; Massimo Menenti, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Netherlands
Session:
TH2.S1: Earth Observation for Enhancing Water Resource Sustainability in Terrestrial Ecosystems I Oral
Track:
Community-Contributed Sessions
Location:
Sky: Room S1
Presentation Time:
Thursday, 7 August, 10:30 - 10:45
Session Co-Chairs:
Tian Hu, Luxembourg Institute of Science and Technology and Yun Yang, Cornell University
Session TH2.S1
TH2.S1.1: IMPROVING EVAPOTRANSPIRATION ESTIMATION USING REGIONAL FORCING DATASETS ON THE TIBETAN PLATEAU
Chaolei Zheng, Li Jia, Aerospace Information Research Institute, Chinese Academy of Sciences, China; Tianwang Dong, School of Geography, Geomatics and Planning, Jiangsu Normal University, China; Guangcheng Hu, Min Jiang, Jing Lu, Qiting Chen, Aerospace Information Research Institute, Chinese Academy of Sciences, China; Massimo Menenti, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Netherlands
TH2.S1.2: Integrating Machine/Deep Learning with Remote Sensing to Simulate Carbon and Water Fluxes in Terrestrial Ecosystems
Yun Bai, Sha Zhang, Hebei Normal University, China
TH2.S1.3: COALA ENABLING PLATFORM: ADVANCING LOW-IMPACT AGRICULTURE IN AUSTRALIA WITH IRRIGATION MANAGEMENT SOLUTIONS
Francesco Vuolo, Jekaterina Aleksandrova, University of Natural Resources and Life Sciences, Vienna, Austria; Guido D´Urso, Oscar Rosario Belfiore, University of Naples Federico II, Italy; Carlo De Michele, Ariespace srl, Spin off University of Naples Federico II, Italy
TH2.S1.4: ENHANCING EVAPOTRANSPIRATION MONITORING FOR PRECISION AGRICULTURE USING A DUAL GAN-BASED SUPER-RESOLUTION MODEL
Yun Yang, Cornell University, United States; Ting Zhang, McDaniel College, United States
Resources