17 - 22 July, 2022 • Physical: Kuala Lumpur Convention Centre (KLCC), Kuala Lumpur, Malaysia • Hybrid: Online Platform

Preserving Our Heritage, Enabling Our Future Through Remote Sensing

17 - 22 July, 2022 • Physical: Kuala Lumpur Convention Centre (KLCC), Kuala Lumpur, Malaysia • Hybrid: Online Platform

MO5.V11.4

A DISAGGREGATION ALGORITHM FOR THE HIGH RESOLUTION SOIL MOISTURE PRODUCT FROM THE UPCOMING NISAR MISSION

Preet Lal, Gurjeet Singh, Narendra Das, Michigan State University, United States; Dara Entekhabi, Masschusetts Institute of Technology, United States; Dharmendra Pandey, SAC, ISRO, India; Rowena Lohman, Cornell University, United States; Andreas Colliander, Jet Propulsion Laboratory, United States; Venkat Vanama, Indian Institite of Technology, Bombay, India
Session:
Soil Moisture Retrieval Oral Virtual
Track:
Land Applications
Location:
Virtual Room 11
Presentation Time:
Mon, 18 Jul, 20:35 - 20:50 Malaysia Time (UTC +8)
Mon, 18 Jul, 14:35 - 14:50 Central European Time (UTC +1)
Mon, 18 Jul, 12:35 - 12:50 UTC
Mon, 18 Jul, 08:35 - 08:50 Eastern Time (UTC -5)
Session Co-Chairs:
Alejandro Monsivais-Huertero, Instituto Politécnico Nacional, Mexico and Hui Lu, Tsinghua University
Session Manager:
Min Wee Ong
Presentation
Discussion
Resources
No resources available.
Session MO5.V11
MO5.V11.1: ESTIMATION OF SOIL MOISTURE DURING WINTER WHEAT GROWING SEASON BASED ON POLARIZATION DECOMPOSITION
Lin Chen, Minfeng Xing, Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China, China
MO5.V11.2: POTENTIAL OF THE MODIFIED WATER CLOUD MODEL TO ESTIMATE SOIL MOISTURE IN DRIP-IRRIGATED PEPPER FIELDS USING ALOS-2 AND SENTINEL-1 DATA
Emna Ayari, Carthage University, National Agronomic Institute of Tunisia / Centre d'Etudes de la Biosphère (CNES/CNRS/INRAE/IRD/UPS), Tunisia; Zeineb Kassouk, Zohra Lili-Chabaane, Carthage University, National Agronomic Institute of Tunisia, Tunisia; Nicolas Baghdadi, CIRAD, CNRS, INRAE, TETIS, University of Montpellier, AgroParisTech, France; Mehrez Zribi, Centre d'Etudes de la Biosphère (CNES/CNRS/INRAE/IRD/UPS), France
MO5.V11.3: MODELING THE ERRORS OF A TIME SERIES ALGORITHM FOR RETRIEVING SOIL MOISTURE IN THE NISAR MISSION
Alexandra Bringer, Joel T. Johnson, Dustin Horton, The Ohio State University, United States; Jeonghwan Park, Rajat Bindlish, NASA Goddard Space Flight Center, United States
MO5.V11.4: A DISAGGREGATION ALGORITHM FOR THE HIGH RESOLUTION SOIL MOISTURE PRODUCT FROM THE UPCOMING NISAR MISSION
Preet Lal, Gurjeet Singh, Narendra Das, Michigan State University, United States; Dara Entekhabi, Masschusetts Institute of Technology, United States; Dharmendra Pandey, SAC, ISRO, India; Rowena Lohman, Cornell University, United States; Andreas Colliander, Jet Propulsion Laboratory, United States; Venkat Vanama, Indian Institite of Technology, Bombay, India
MO5.V11.5: TIME-SERIES RATIO ALGORITHM FOR NISAR SOIL MOISTURE RETRIEVAL
Jeonghwan Park, NASA Goddard Space Flight Center/GST, United States; Rajat Bindlish, NASA Goddard Space Flight Center, United States; Alexandra Bringer, Dustin Horton, Joel Johnson, The Ohio State University, United States
MO5.V11.6: ANALYSIS OF MULTI-FREQUENCY SAR DATA FOR EVALUATING THEIR SENSITIVITY TO SOIL MOISTURE OVER AN AGRICULTURAL AREA IN ARGENTINA
Giovanni Anconitano, Nazzareno Pierdicca, Sapienza University of Rome, Italy; Mario Alberto Acuña, Comisión Nacional De Actividades Espaciales, Argentina; Leila Guerriero, Tor Vergata University of Rome, Italy