WEP.P20.8

LEARNING UAV-BASED ABOVE-GROUND BIOMASS REGRESSION MODELS IN SPARSE TRAINING DATA ENVIRONMENTS

Felix Kröber, Universite Bretagne-Sud, France; Guglielmo Fernandez Garcia, Universite Rennes 2, France; Florent Guiotte, L'Avion Jaune, France; Florian Delerue, Universite Bordeaux, France; Thomas Corpetti, Universite Rennes 2, France; Sébastien Lefèvre, Universite Bretagne-Sud, France
Session:
WEP.P20: Forest and Vegetation Biomass Estimation II Poster
Track:
Land Applications
Location:
Poster Area 20
Presentation Time:
Wed, 19 Jul, 14:15 - 15:45 Pacific Time (UTC -8)
Session Co-Chairs:
Sassan Saatchi, California Institute of Technology and Josef M. Kellndorfer, National Environmental Satellite, Data, and Information Service
Session Managers:
Ge Jiang and HUMAIRA SANAM and Ayoti Banerjee and Srashti Singh
Presentation
Not logged in.
Discussion
Not logged in.
Resources
No resources available.
Session WEP.P20
WEP.P20.1: EFFECTS OF LEAF SENESCENCE CONDITION ON FOREST BIOMASS ACCURACY USING AVIRIS-NG DATA
LAXMIKANT SHARMA, RAJANI KANT VERMA, CENTRAL UNIVERSITY OF RAJASTHAN, India
WEP.P20.2: ESTIMATION OF CLM5.0 PARAMETERS FOR IMPROVING GRASSLAND PRODUCTIVITY SIMULATION IN HULUNBUIR, INNER MONGOLIA
qian yang, University of Chinese Academy of Sciences, China; Xiaohua Zhu, Guangzhou Ouyang, Lingling Ma, Aerospace Information Research Institute, Chinese Academy of Sciences, China
WEP.P20.3: FOREST ABOVEGROUND BIOMASS ESTIMATION FROM HIGH-RESOLUTION IMAGERY IN WUHAN CITY, CHINA
Ayzohra Mamat, Wuhan University, China; Xueyi Liu, China Agricultural University, China; Wenli Huang, Tianqi Feng, Wuhan University, China; Danxia Song, Central China Normal University, China
WEP.P20.4: GEOSPATIAL ESTIMATION OF HIGH FOREST BIOMASS USING GEDI & NATIONAL FOREST INVENTORY
Le Bienfaiteur Takougoum Sagang, University of California, United States; Samuel Favrichon, Sassan Saatchi, Jet Propulsion Laboratory, United States
WEP.P20.5: ESTIMATION OF ABOVE GROUND BIOMASS AND UNCERTAINTIES ASSESSMENT USING BI-TEMPORAL AIRBORNE LASER SCANNING IN DAXING’ANLING FOREST REGION, CHINA
Zhexiu Yu, Jianbo Qi, Huaguo Huang, Beijing Forestry University, China
WEP.P20.6: QUANTIFYING ABOVEGROUND BIOMASS IN THE CONTINENTAL U.S. USING GEDI WAVEFORM MEASUREMENTS
Wenge Ni-Meister, Alejandro Rojas, Hunter College of The City University of New York, United States
WEP.P20.7: WALL-TO-WALL ABOVE-GROUND BIOMASS ESTIMATION WITH ALOS-2 PALSAR-2 L-BAND SAR DATA AND GEDI
Yu Zhao, Xin Guo, Liheng Zhong, Jian Wang, Jingdong Chen, Ant Group, China
WEP.P20.8: LEARNING UAV-BASED ABOVE-GROUND BIOMASS REGRESSION MODELS IN SPARSE TRAINING DATA ENVIRONMENTS
Felix Kröber, Universite Bretagne-Sud, France; Guglielmo Fernandez Garcia, Universite Rennes 2, France; Florent Guiotte, L'Avion Jaune, France; Florian Delerue, Universite Bordeaux, France; Thomas Corpetti, Universite Rennes 2, France; Sébastien Lefèvre, Universite Bretagne-Sud, France
WEP.P20.9: PREDICTION OF HEMI BOREAL FOREST BIOMASS CHANGE USING ALOS-2 PALSAR-2 L-BAND SAR BACKSCATTER
Ivan Huuva, Henrik Persson, Jörgen Wallerman, Swedish University of Agricultural Sciences, Sweden; Lars Ulander, Chalmers University of Technology, Sweden; Johan E.S. Fransson, Linnaeus University, Sweden
Resources
No resources available.