MO2.R3.4

FEASIBILITY OF RETRIEVING SOIL MOISTURE FROM INSAR DECORRELATION PHASE AND CLOSURE PHASE

Roger Michaelides, Howard Zebker, Stanford University, United States

Session:
SAR Interferometry I

Track:
Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)

Presentation Time:
Mon, 28 Sep, 15:00-15:10 (UTC)
Mon, 28 Sep, 23:00-23:10 China Standard Time (UTC +8)
Mon, 28 Sep, 17:00-17:10 Central Europe Summer Time (UTC +2)
Mon, 28 Sep, 08:00-08:10 Pacific Daylight Time (UTC -7)

Session Co-Chairs:
Kamal Sarabandi, University of Michigan and Howard Zebker, Stanford University
Session Managers:
Laura Almendra Martín and Delmy Stefany Menjivar Sandoval

Presentation

Discussion

Resources

Session

MO2.R3.1: GULF STREAM DETECTION AND ESTIMATION WITH RADARSAT-2 ALONG-TRACK INTERFEROMETRY
Mamoon Rashid, Christoph Gierull, Defence Research and Development Canada (DRDC), Canada
MO2.R3.2: EXPERIMENTAL STUDY ON ALONG TRACK TARGET VELOCITY ESTIMATION FOR MULTIPLE APERTURE SAR-MTI CONFIGURATION
Kei Suwa, Toshio Wakayama, Mitsubishi Electric Corporation, Japan
MO2.R3.3: ON THE USE OF PRF DITHERING FOR WIDE SWATH, FINE RESOLUTION INSAR
Howard Zebker, Stanford University, United States
MO2.R3.4: FEASIBILITY OF RETRIEVING SOIL MOISTURE FROM INSAR DECORRELATION PHASE AND CLOSURE PHASE
Roger Michaelides, Howard Zebker, Stanford University, United States
MO2.R3.5: A PHYSICS-BASED DECORRELATION PHASE COVARIANCE MODEL FOR EFFECTIVE DECORRELATION NOISE REDUCTION IN INTERFEROGRAM STACKS
Yujie Zheng, California Institute of Technology, United States; Howard Zebker, Roger Michaelides, Stanford University, United States
MO2.R3.6: A DEEP LEARNING BASED METHOD FOR LOCAL SUBSIDENCE DETECTION AND INSAR PHASE UNWRAPPING: APPLICATION TO MINING DEFORMATION MONITORING
Zhipeng Wu, Heng Zhang, Yingjie Wang, Aerospace Information Research Institute, China; Teng Wang, Peking University, China; Robert Wang, Aerospace Information Research Institute, China
MO2.R3.7: A THREE-STAGE FRAMEWORK FOR MULTI-BASELINE INSAR PHASE UNWRAPPING
Junyi Xu, Northwestern Polytechnical University, China; Hanwen Yu, University of Houston, United States; Songlin Liu, Wuhan University, China
MO2.R3.8: IMPROVED INSAR LAYOVER AND SHADOW DETECTION USING MULTI-FEATURE
Siyuan Wang, Huaping Xu, Bo Yang, Yao Luo, Beihang University, China
MO2.R3.9: An Adaptive Statistical Multi-grid DInSAR Technique for Studying Multi-scale Earth Surface Deformation Phenomena
Pietro Mastro, Francesco Falabella, Università degli Studi della Basilicata, Italy; Antonio Pepe, Italian National Council of Research, Italy
MO2.R3.10: QUANTIFYING THE EFFECT OF THE WIND ON FOREST CANOPY HEIGHT ESTIMATION USING INTERFEROMETRIC SYNTHETIC APERTURE RADAR SYSTEMS
Michael Benson, Leland Pierce, Kamal Sarabandi, University of Michigan, United States