TUP2.PY.11
Unlocking the Green Potential of the Baltic States: Biomass monitoring using remote sensing data
Linda Toca, Arbonics, Estonia
Session:
TUP2.PY: Forest and Vegetation: Biomass and Carbon Cycle VI Poster
Track:
Land Applications
Location:
Poster Area
Presentation Time:
Tuesday, 5 August, 14:30 - 15:45
Presentation
Discussion
Resources
No resources available.
Session TUP2.PY
TUP2.PY.2: Combining Synthetic and Real Images for Tree Species Recognition
Chinsu Lin, National Chiayi University, Taiwan; Wenzhi Liao, Ghent University, Belgium; Siao-En Ma, National Chiayi University, Taiwan
TUP2.PY.4: THE FOREST ABOVEGROUND BIOMASS ESTIMATION BASED ON AIRBORNE X-BAND INSAR DATA
Huaxiong Lei, College of Forestry, Southwest Forestry University, China; Lei zhao, Erxue Chen, The State Key Laboratory of Efficient Production of Forest Resources & Key Laboratory of Forestry Remote Sensing and Information System of NFGA, Institute of Forest Resource Information technologys, Chinese Academy of Forestry, China; Wangfei ZHANG, College of Forestry, Southwest Forestry University, China
TUP2.PY.5: RADIATIVE TRANSFER SIMULATION BASED ON UAV LIDAR FOLIAGE DISTRIBUTION MEASUREMENTS REVEALS COMPLEX LIGHT ENVIRONMENTS IN FOREST CANOPY
Junpei Kariyazono, The University of Tokyo, Japan; Hideki Kobayashi, Japan Agency for Marine-Earth Science and Technology, Japan; Ryo Nakahata, Tomo’omi Kumagai, The University of Tokyo, Japan
TUP2.PY.6: DEEP LEARNING FRAMEWORK FOR HIGH SPATIOTEMPORAL RESOLUTION MONITORING OF CARBON UPTAKE USING MULTI-SOURCE SATELLITE IMAGERY
Jungho Im, Bokyung Son, Taejun Sung, Sejeong Bae, Yeonsu Lee, Minki Choo, Ulsan National Institute of Science and Technology, Korea (South)
TUP2.PY.10: MODELLING ABOVE-GROUND BIOMASS IN A SEMI-ARID MOKALA NATIONAL PARK USING EARTH OBSERVATION SATELLITE DATA
Simbarashe Jombo, Mohamed A.M. Abd Elbasit, Sol Plaatje University, South Africa
TUP2.PY.11: Unlocking the Green Potential of the Baltic States: Biomass monitoring using remote sensing data
Linda Toca, Arbonics, Estonia
TUP2.PY.12: REMOTE SENSING OF GRAZING INTENSITY OVER THE INNER MONGOLIAN GRASSLAND OF CHINA
Xiaolong Liu, Grassland Research Institute, Chinese Academy of Agricultural Sciences, China; Yanchen Bo, Beijing Normal University, China; Cheng Huang, Bobo Du, Haihua Bai, Grassland Research Institute, Chinese Academy of Agricultural Sciences, China
Resources
No resources available.