TUP1.PU.6
IMPROVING SOIL MOISTURE RETRIEVAL BY COMBINING MODIS BRDF AND CYGNSS DATA
Sizhe Chen, Ziti Jiao, Beijing Normal University, China
Session:
TUP1.PU: RS for Soil Moisture and Properties II Poster
Track:
Land Applications
Location:
Poster Area
Presentation Time:
Tuesday, 5 August, 09:15 - 10:30
Presentation
Discussion
Resources
No resources available.
Session TUP1.PU
TUP1.PU.1: COLLABORATIVE SOIL MOISTURE RETRIEVAL WITH MULTI-SOURCE REMOTE SENSING DATA
Xincai CHANG, Lina XU, Siyu LIU, Shupeng ZHANG, Peiseng LIAN, China University Of Geosciences，wuhan, China
TUP1.PU.2: A Hybrid Supervised Machine Learning Model for Extraction and Classification of Soil Moisture Index on Sentinel-1 Images
Ajay Yadav, Mukund Pratap Singh, Anurag Goswami, Kuldeep Chaurasia, Gaurav Kumar Dashondhi, School of Computer Science Engineering and Technology, India
TUP1.PU.3: Enhanced Generalized Regression Neural Network Coupled With Stacking Ensemble Learning for Soil Moisture Estimation Over the Qinghai-Tibet Plateau
Ling Zhang, Jiangsu Maritime Institute, China; Yusha Zheng, Zhaohui Xue, Hohai University, China
TUP1.PU.4: RELATIONSHIP BETWEEN P-/L-BAND PASSIVE AND ACTIVE MICROWAVE OBSERVATIONS OVER SOIL SURFACES
Nan Ye, Suzhou Industrial Park Monash Research Institute of Science and Technology, China; Ying Gao, Xiaoling Wu, Ziwei Xiong, Monash University, Australia; Liujun Zhu, Xiaoji Shen, Hohai University, China; Jeffrey Walker, Monash University, Australia
TUP1.PU.5: SOIL MOISTURE ACQUISITION THROUGH MULTISPECTRAL SENSORS COUPLED TO UNMANNED AERIAL VEHICLE (UAV)
Leonardo Campos Inocencio, Rio de Janeiro State University, Brazil; Beto Saraiva dos Reis, Unisinos University, Brazil; Francisco Manoel Wohnrath Tognoli, Rio de Janeiro Federal University, Brazil; César Augusto Moreira, São Paulo State University, Brazil; Jaqueline Lopes Diniz, University of Western Australia, Australia
TUP1.PU.6: IMPROVING SOIL MOISTURE RETRIEVAL BY COMBINING MODIS BRDF AND CYGNSS DATA
Sizhe Chen, Ziti Jiao, Beijing Normal University, China
TUP1.PU.7: OPTIMIZED SOIL MOISTURE (OSM) INDEX FOR ENHANCED SOIL MOISTURE ESTIMATION USING DUAL-POL SAR DATA
Sabreen Sadhak, Shoba Periasamy, Anna University, India
TUP1.PU.8: INTEGRATIVE USE OF C- AND L-BAND SAR DATA OVER EUROPEAN SITES
Francesco Mattia, Anna Balenzano, Giuseppe Satalino, Davide Palmisano, Antonella Belmonte, National Research Council of Italy (CNR), Italy; Carsten Montzka, Mehdi Rahmati, Forschungszentrum Jülich GmbH, Germany; Michele Rinaldi, Sergio Ruggieri, Consiglio per la Ricerca in agricoltura e l’analisi dell’Economia Agraria (CREA), Italy; Deodato Tapete, Italian Space Agency (ASI), Italy; Julia Kubanek, European Space Agency (ESA), Netherlands
TUP1.PU.9: SOIL MOISTURE RETRIEVAL USING FY-3E GNOS-Ⅱ MULTI-CONSTELLATION OBSERVATIONS
Kun Zhang, Kegen Yu, Nianfu Xu, Chuanchi Hao, Changyang Wang, Yuxi Wang, School of Environment Science and Spatial Informatics, China University of Mining and Technology, China
TUP1.PU.10: SOIL MOISTURE RETRIEVAL BASED ON CHANGE DETECTION COMBINING NEIGHBORHOOD INFORMATION USING SENTINEL-1 DATA
Qi Dou, Jie Yang, Weidong Sun, Lingli Zhao, Lei Shi, Wuhan University, China
TUP1.PU.11: Assimilation of GNSS-R Soil Moisture Retrievals into a one-dimensional Hydrological Model for Root Zone Soil Moisture Estimation
Kevin Shi, Weihang Li, Purdue University, United States; James Garrison, Purdue Univeristy, United States; Hassan Dashtian, Dev Niyogi, The University of Texas at Austin, United States
Resources
No resources available.