IGARSS 2025 || Brisbane, Australia || 3

TUP2.PZ.1: Assessing Drought Conditions in Australia: An Analysis Using Satellite Indices

Yuei-An Liou, Minh-Tin Thai, National Central University, Taiwan

TUP2.PZ.2: SEASONAL ICE PHENOLOGY OF HIGH-LATITUDE LAKES THROUGH SPACEBORNE L-BAND RADIOMETRY

Divya Kumawat, MD Zuber, Ardeshir Ebtehaj, Vipin Kumar, Michael Steinbach, University of Minnesota, United States

TUP2.PZ.3: Crop Soil Moisture Condition Mapping Based on SMAP Soil Moisture Anomaly Data

Zhengwei Yang, USDA/NASS, United States; Wanru Li, Jingyi Huang, University of Wisconsin-Madison, United States

TUP2.PZ.4: Assessing trends of global irrigation patterns using SMAP high-resolution soil moisture product for sustainable water resource management

Arunav Nanda, Gurjeet Singh, Narendra Das, Michigan State University, United States

TUP2.PZ.5: Understanding soil moisture distribution in Mongolia based on field measurement and satellite data

Nozomu Hirose, National Institute of Technology, Matsue College, Japan; Kentaro Aida, JAXA, Japan

TUP2.PZ.6: LONG-TERM GLOBAL SOIL MOISTURE DATASET THROUGH PHYSICS-DRIVEN MACHINE LEARNING USING SMAP, AMSR, MWRI/FY-3 AND SSMI

Panpan Yao, North China University of Water Resources and Electric Power, China; Tianjie Zhao, Aerospace Information Research Institute, Chinese Academy of Sciences, China; Hui Lu, Department of Earth System Science,Tsinghua University, China; Zhiqing Peng, Department of Earth System Science, Tsinghua University, China; Shengli Wu, National Satellite Meteorological Center, China Meteorological Administration, China; Haojie Zhang, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, China; Jiancheng Shi, National Space Science Center, Chinese Academy of Sciences, China

TUP2.PZ.7: ESTIMATION OF SOIL MOISTURE AND ITS PROFILE AT FIELD-SCALES VIA BAYESIAN MERGING, MACHINE LEARNING AND DEPTH FUNCTIONS: A HYPER-RESOLUTION LAND SURFACE MODELLING APPROACH

Sanjay N C, Monash University, Australia

TUP2.PZ.8: ONE-POINT CALIBRATION OF THE THIRD AND FOURTH STOKES PARAMETERS FOR SMAP L-BAND MICROWAVE RADIOMETER AND ITS IMPACT ON THE TEC MEASUREMENT

Jinzheng Peng, NASA Goddard Space Flight Center / Morgan State University, United States; Jeffrey Piepmeier, NASA Goddard Space Flight Center, United States; Priscilla Mohammed, NASA Goddard Space Flight Center / Morgan State University, United States

TUP2.PZ.9: VALIDATION OF SATELLITE SOIL MOISTURE PRODUCTS OVER AN ARID AGRICULTURAL REGION IN SOUTHERN MEXICO

Alejandro Monsiváis-Huertero, Isaías Barragán-Cruz, Andrés Armando Rivera-Ramírez, Instituto Politecnico Nacional, Mexico; Daniel Enrique Constantino-Recillas, Tecnológico Nacional de México, Mexico; Héctor Ernesto Huerta-Bátiz, Enrique Zempoaltecatl-Ramírez, José Carlos Jiménez-Escalona, Rodrigo Florencio-Da Silva, Victor Manuel Sauce-Rangel, Instituto Politecnico Nacional, Mexico; José Emilio Quiroz-Ibarra, Jorge Ángel González-Ordiano, Universidad Iberoamericana Ciudad de México, Mexico

TUP2.PZ.10: ESTIMATION OF SOIL MOISTURE USING SATELLITE INFORMATION AND MACHINE LEARNING ALGORITHMS

Andrés Armando Rivera-Ramírez, Alejandro Monsiváis-Huertero, Jesús Irán Grageda-Arellano, José Carlos Jiménez-Escalona, Rodrigo Florencio-Da Silva, Ramón Sidonio Aparicio-García, Jhonatan Fernando Eulopa-Hernández, Instituto Politécnico Nacional, Mexico

TUP2.PZ.11: AN INTEGRATING PHYSICAL WITH CONVOLUTIONAL NEURAL NETWORKS FOR ENHANCING SOIL MOISTURE RETRIEVAL

Xiangjin Meng, Qing Zhu, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, China; Yingbao Yang, Hohai University, Germany

TUP2.PZ.12: QUANTIFYING THE EFFECT OF SURFACE ROUGHNESS ON SMAP RADAR OBSERVABLES USING HIGH-RESOLUTION LIDAR DEM DATA

Tianlin Wang, Simon Yueh, Xiaolan Xu, Andreas Colliander, Jet Propulsion Laboratory, United States