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International Geoscience and Remote Sensing Symposium

In 2021 a joint initiative of Belgium and The Netherlands

TU1.O-7.4

SPRUCE CROWN TRANSPARENCY LEVELS DETECTED FROM SENTINEL-2 USING GOOGLE EARTH ENGINE

Carsten Montzka, Bagher Bayat, Andreas Tewes, David Mengen, Harry Vereecken, Forschungszentrum Jülich, Germany
Session:
Recent Analysis Methods of Forest
Track:
Land Applications
Presentation Time:
Tue, 13 Jul, 09:15-09:30 (UTC)
Tue, 13 Jul, 11:15-11:30 Central Europe Summer Time (UTC +2)
Tue, 13 Jul, 17:15-17:30 China Standard Time (UTC +8)
Tue, 13 Jul, 05:15-05:30 Eastern Daylight Time (UTC -4)
Session Co-Chairs:
Hugo Costa, Direção-Geral do Território and André Duarte, Forest and Paper Research Institute (RAIZ)
Session Manager:
Xingyan Cao
Presentation
Discussion
Resources
Session TU1.O-7
TU1.O-7.1: EVALUATION OF XGBOOST AND LGBM PERFORMANCE IN TREE SPECIES CLASSIFICATION WITH SENTINEL-2 DATA
Helena Łoś, Goncalo Sousa Mendes, David Cordeiro, Nuno Grosso, Deimos Engenharia, Portugal; Hugo Costa, Pedro Benevides, Mário Caetano, Direção Geral do Território, Portugal
TU1.O-7.2: EXPLORING THE POTENTIAL OF SENTINEL-2 DATA FOR TREE CROWN MAPPING IN OAK AGRO-FORESTRY SYSTEMS
Hugo Costa, Inês Machado, Francisco D. Moreira, Pedro Benevides, Daniel Moraes, Mário Caetano, Direção-Geral do Território, Portugal
TU1.O-7.3: RESEARCH ON THE DIRECTIONAL DEPENDENCE OF THE SAMPLING SCALE OF CANOPY CLUMPING INDEX
Yidong Tong, Ziti Jiao, Lei Cui, Siyang Yin, Xiaoning Zhang, Jing Guo, Rui Xie, Zidong Zhu, Sijie Li, Beijing Normal University, China
TU1.O-7.4: SPRUCE CROWN TRANSPARENCY LEVELS DETECTED FROM SENTINEL-2 USING GOOGLE EARTH ENGINE
Carsten Montzka, Bagher Bayat, Andreas Tewes, David Mengen, Harry Vereecken, Forschungszentrum Jülich, Germany
TU1.O-7.5: A MACHINE LEARNING APPROACH TO DETECT DEAD TREES CAUSED BY LONGHORNED BORER IN EUCALYPTUS STANDS USING UAV IMAGERY
André Duarte, Nuno Borralho, Forest and Paper Research Institute (RAIZ), Portugal; Mário Caetano, NOVA Information Management School (NOVAIMS) Universidade Nova de Lisboa, Portugal

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