WE2.P2.4
ENSEMBLE TIME-SERIES RECONSTRUCTION FOR ENHANCED FOREST ABOVEGROUND BIOMASS CARBON ESTIMATION
Yiru Zhang, Zhanmang Liao, Binbin He, Rui Chen, Hongguo Zhang, Yanxi Li, University of Electronic Science and Technology of China, China
Session:
WE2.P2: Large-scale Forest Vertical Structure, Biophysical Parameters and Forest Change Mapping with the Fusion of Spaceborne Radar and Lidar/Optical Sensors II Oral
Track:
Community-Contributed Sessions
Location:
Room P2
Presentation Time:
Wednesday, 6 August, 11:15 - 11:30
Session Co-Chairs:
Yang Lei, Chinese Academy of Sciences and Paul Siqueira, University of Massachusetts Amherst
Presentation
Discussion
Resources
No resources available.
Session WE2.P2
WE2.P2.1: Spaceborne LiDAR-Guided InSAR Phase Histogram for Ground Detection and Forest Height Estimation Using TanDEM-X Data
yu yanghai, lei yang, Chinese Academy of Sciences, China; stefano tebaldini, Politecnico di Milano, Italy; chuanjun wu, wenli huang, wuhan university, China
WE2.P2.2: ANALYSIS OF L-BAND INSAR HISTOGRAMS FOR MAPPING FOREST VERTICAL STRUCTURE
Chiara Telli, Sapienza University of Rome, Italy; Marco Lavalle, Gustavo Shiroma, Jet Propulsion Laboratory, California Institute of Technology, United States; Nazzareno Pierdicca, Sapienza University of Rome, Italy
WE2.P2.3: PHYSICAL MODEL-BASED FOREST HEIGHT INVERSION WITH LUTAN-1 SPACEBORNE L-BAND BISTATIC SINGLE-BASELINE SINGLE-POLARIZATION SAR INTERFEROMETRY
Weiliang Li, Yang Lei, Chinese Academy of Sciences, China
WE2.P2.4: ENSEMBLE TIME-SERIES RECONSTRUCTION FOR ENHANCED FOREST ABOVEGROUND BIOMASS CARBON ESTIMATION
Yiru Zhang, Zhanmang Liao, Binbin He, Rui Chen, Hongguo Zhang, Yanxi Li, University of Electronic Science and Technology of China, China
WE2.P2.5: Multitemporal features from Harmonized Landsat-Sentinel-derived vegetation indices for tropical forest characterization
Rodrigo Leite, Qiang Zhou, Margaret Wooten, William Wagner, NASA Goddard Space Flight Center, United States; Christopher Neigh, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA, United States
Resources
No resources available.