Technical Program: Paper Detail || IEEE IGARSS 2023 || Pasadena, California, USA || 16

TH4.R7.2

DESIGN AND PARAMETER ESTIMATION ROBUSTNESS OF THE GLOBAL ABOVE-GROUND BIOMASS ESTIMATION ALGORITHM FOR ESA’S 7TH EARTH EXPLORER MISSION BIOMASS

Maciej Soja, WUR, Netherlands; Francesco Banda, ARESYS, Italy; Paolo Mazzucchelli, Aresys, Italy; Mauro d'Alessandro, Politecnico di Milano, Italy; Shaun Quegan, University of Sheffield, United Kingdom; Nuno Miranda, Klaus Scipal, ESA, Italy

Session:

TH4.R7: Large-scale Forest Aboveground Biomass and Height Mapping with the Combination of Spaceborne Radar and Lidar/Optical Sensors I Oral

Location:

Room G

Presentation Time:

Thu, 20 Jul, 15:57 - 16:09 Pacific Time (UTC -8)

Session Co-Chairs:

Paul Siqueira, UMass Amherst and Narayanarao Bhogapurapu, UMass Amherst

Session Manager:

HUMAIRA SANAM

Session TH4.R7

TH4.R7.1: LARGE-SCALE FOREST STAND HEIGHT ESTIMATION USING C-BAND INSAR CORRELATION

NARAYANARAO BHOGAPURAPU, Paul Siqueira, University of Mssachusetts Amherst, India; John Armston, University of Maryland, United States; Xiaoxuan Li, George Mason University, United States; Mikhail Urbazaev, University of Maryland, United States; Konrad Wessels, George Mason University, United States; Laura Duncanson, University of Maryland, United States

TH4.R7.2: DESIGN AND PARAMETER ESTIMATION ROBUSTNESS OF THE GLOBAL ABOVE-GROUND BIOMASS ESTIMATION ALGORITHM FOR ESA’S 7TH EARTH EXPLORER MISSION BIOMASS

TH4.R7.3: LARGE-SCALE FOREST HEIGHT MAPPING IN THE NORTHEASTERN U.S. USING L-BAND SPACEBORNE REPEAT-PASS SAR INTERFEROMETRY AND GEDI LIDAR DATA

Yanghai Yu, Yang Lei, Chinese Academy of Sciences, China; Paul Siqueira, UMass Amherst, United States

TH4.R7.5: LARGE-SCALE FOREST HEIGHT MAPPING FROM TANDEM-X, ICESAT-2 AND LANDSAT 8 DATA USING A MACHINE-LEARNING METHOD

Huacan Hu, Haiqiang Fu, Jianjun Zhu, Central South University, China; Juan M. Lopez-Sanchez, University of Alicante, Spain; Cristina Gómez, University of Valladolid, Spain