TU2.P1.2
MODELLING LIGHT USE EFFICIENCY WITH MACHINE LEARNING TO ESTIMATE TERRESTRIAL ECOSYSTEM GROSS PRIMARY PRODUCTION
Min Jiang, Li Jia, Massimo Menenti, Chaolei Zheng, Aerospace Information Research Institute, Chinese Academy of Sciences, China
Session:
TU2.P1: Forest and Vegetation: Biomass and Carbon Cycle IV Oral
Track:
Land Applications
Location:
Plaza: Room P1
Presentation Time:
Tuesday, 5 August, 10:45 - 11:00
Session Co-Chairs:
Nasem Badreldin, University of Manitoba and Yaokun Zhang, University of Electronic Science and Technology of China
Session TU2.P1
TU2.P1.1: EXPLORING THE POTENTIAL OF POLARIMETRIC AND INTERFEROMETRIC SAR VARIABLES FOR DEFORESTATION MAPPING
Anam Sabir, Chumbitha Leena, Unmesh Khati, Indian Institute of Technology Indore, India
TU2.P1.2: MODELLING LIGHT USE EFFICIENCY WITH MACHINE LEARNING TO ESTIMATE TERRESTRIAL ECOSYSTEM GROSS PRIMARY PRODUCTION
Min Jiang, Li Jia, Massimo Menenti, Chaolei Zheng, Aerospace Information Research Institute, Chinese Academy of Sciences, China
TU2.P1.3: Enhanced Grassland Biomass Estimation Using Vegetation Indices and Biomass Proxy: A Comparative Study of Parametric and Non-parametric Models in Manitoba’s Prairie Ecozone
Mirmajid Mousavi, Nasem Badreldin, University of Manitoba, Canada
TU2.P1.4: UAV-BASED LIDAR AND MULTISPECTRAL DATA FOR CARBON STOCK ASSESSMENT IN A TEMPERATE MIXED FOREST
Cinzia Panigada, Luigi Vignali, Giulia Tagliabue, Roberto Garzonio, Beatrice Savinelli, Rodolfo Gentili, Micol Rossini, University of Milano - Bicocca, Italy
TU2.P1.5: Extraction of Tree Diameter at Breast Height Using UAV-based Point Cloud Data
Yaokun Zhang, University of Electronic Science and Technology of China, China
Resources