IEEE GRSS
First Slide
2026 IEEE International Geoscience and Remote Sensing Symposium
9 - 14 August 2026 • Washington, D.C.
TUP1.PJ: Soils: Soils and Soil Moisture
Tuesday, 11 August, 09:45 - 11:00
Location: Poster Area J
Session Type: Poster
Session Chair: Yan Zhou, University of Maryland
Track: Land Applications
Poster Area J

TUP1.PJ.3: HIGH-RESOLUTION SURFACE SOIL MOISTURE MAPPING USING RANDOM FOREST AND SENTINEL-1 SAR WITH ENVIRONMENTAL DATA
Su-Bin Ha, Ye-Young Kim, Gwang-Woo Oh, Pukyong National University; Moung-Jin Lee, Korea Environment Institute; Seung-Kuk Lee, Pukyong National University
Poster Area J

TUP1.PJ.5: ANALYZING THE PRIMARY DRIVERS OF SOIL SPECTRAL VARIANCE IN TIME SERIES
Paul Karlshoefer, Uta Heiden, German Aerospace Center
Poster Area J

TUP1.PJ.6: DIVERGENT DRIVERS OF UNCERTAINTY IN MAPPING CHINA’S SOIL ORGANIC CARBON AND A ROBUST FUSION STRATEGY
Xunjie Ma, Xiaojing Liu, Rongrong Ge, Jiayi He, Sichuan Agricultural University
Poster Area J

TUP1.PJ.7: Understanding Multifrequency SAR Sensitivities to Soil Moisture Dynamics and Crop Growth from NISAR and Sentinel-1 Missions in North-Central Florida
Michelle Prieto-Sanchez, Laura Almendra, Jasmeet Judge, Mawiyah Abdelkarim, University of Florida; Alejandro Monsivais Huertero, Instituto Politecnico Nacional; Sarah Daly, Washington University in St. Louis
Poster Area J

TUP1.PJ.8: Integrating Temporal and Spatial Strengths: Advancing High-Resolution Global Soil Moisture Gap-Filling through POBI and NSTI Synergy
ZIYUE ZHU, University of Virginia; John Eylander, Sydney Crisanti, U.S. Army Corps of Engineers; Venkataraman Lakshmi, University of Virginia
Poster Area J

TUP1.PJ.9: A DEEP LEARNING FRAMEWORK FOR FARM-SCALE SOIL MOISTURE RETRIEVALS: A CASE STUDY FOR A DATA-SCARCE REGION
Hamza Rafique, Abubakr Muhammad, Lahore University of Management Sciences (LUMS)
Poster Area J

TUP1.PJ.10: QUASI-DAILY 30 M SOIL MOISTURE RETRIEVAL FROM SENTINEL-1 AND HARMONIZED LANDSAT AND SENTINEL-2 TIME SERIES USING A TRANSFORMER MODEL
Junjie Li, Hankui Zhang, South Dakota State University
Poster Area J

TUP1.PJ.11: ROOT ZONE SOIL MOISTURE MAPPING USING MACHINE LEARNING WITH L- AND P-BAND PASSIVE MICROWAVE OBSERVATIONS
Luisa Fernanda White Murillo, Monash University; Jifu Yin, University of Maryland; Jeffrey Walker, Monash University; Xiwu Zhan, NOAA NESDIS Center for Satellite Applications and Research; Jicheng Liu, Yan Zhou, University of Maryland
Poster Area J

TUP1.PJ.12: A SOIL MOISTURE-ASSISTED MOSAICKING ALGORITHM FOR GENERATING LARGE-AREA LUTAN-1 SAR MOSAICS
Jian Wang, Lei Zhao, Yaxiong Fan, Erxue Chen, 1. Institute of Forest Resource Information Techniques, Chinese Academy of Forestry; 2. State Key Laboratory of Efficient Production of Forest Resources, Key Laboratory of Forestry Remote Sensing and Information System of NFGA.