WEPB.PA.92

APPLYING MACHINE LEARNING FOR FOREST ATTRIBUTE MAPPING IN LATVIA – SHARING INSIGHTS FROM THE SWEDISH APPROACH

Johan E.S. Fransson, Linnaeus University, Sweden; Dag Björnberg, Softwerk, Sweden; Anton Holmström, Katam Technologies, Sweden; Jorge F. Lazo, AI Sweden, Sweden; Welf Löwe, Linnaeus University, Sweden; Mats Nilsson, Swedish University of Agricultural Sciences, Sweden; Jari Salo, University of Helsinki, Finland; Maurizio Santoro, Gamma Remote Sensing, Switzerland; Elif Sertel, Istanbul Technical University, Turkey; Shafiullah Soomro, Linnaeus University, Sweden; Jörgen Wallerman, Swedish University of Agricultural Sciences, Sweden; Cem Ünsalan, Yeditepe University, Turkey; Juris Zariņš, Latvian State Forest Research Institute, Latvia
Session:
WEPB.PA: Forest and Vegetation: Application and Modelling IV Poster
Track:
Land Applications
Location:
Poster Area 3: Trianti Foyer Left
Presentation Time:
Wed, 10 Jul, 16:20 - 17:20
Session Chair:
Sergio Vitale, Università di Napoli Parthenope
Presentation
Discussion
Resources
No resources available.
Session WEPB.PA
WEPB.PA.87: A STATUS OF SOUTH KOREA’S CAS 500-4 SATELLITE DEVELOPMENT AND PRODUCT FRAMEWORK
Kyoung-min Kim, Joongbin Lim, Myoungsoo Won, National Institute of Forest Science, Korea (South)
WEPB.PA.88: EFFECTS OF LAND SURFACE TEMPERATURE VS. AIR TEMPERATURE IN ESTIMATING LIVE FUEL MOISTURE CONTENT
Yuanqi Sun, Wenqian Zhang, School of Resources and Environment, University of Electronic Science and Technology of China & Yangtze Delta Region Institute (Huzhou), China; Yiru Zhang, Jianan Hou, School of Resources and Environment, University of Electronic Science and Technology of China, China
WEPB.PA.89: INTEGRATING MULTI-SOURCE SATELLITE DATA AND ENVIRONMENTAL INFORMATION IN A U-NET ARCHITECTURE FOR CANOPY HEIGHT MAPPING IN FRENCH GUIANA
Kamel Lahssini, Nicolas Baghdadi, INRAE, France; Guerric le Maire, CIRAD, France; Ibrahim Fayad, Kayrros SAS, France; Grégoire Vincent, IRD, France
WEPB.PA.90: AN UNSUPERVISED APPROACH TO BUILD A TRAINING DATASET FOR INDIVIDUAL TREE CROWN DELINEATION USING AIRBORNE LIDAR AND FIELD OBSERVATIONS
Camile Sothe, Ryan Mccarthy, Christopher Anderson, Planet Labs PBC, United States
WEPB.PA.91: THE ACCURACY OF EXISTING GLOBAL PRODUCTS IN DETECTING DEFORESTATION IN AGROFORESTRY AREAS
Yaqing Gou, Mila Luleva, Laura Wools, Xi Zhu, Kyle Nielsen, Rabobank, Netherlands
WEPB.PA.92: APPLYING MACHINE LEARNING FOR FOREST ATTRIBUTE MAPPING IN LATVIA – SHARING INSIGHTS FROM THE SWEDISH APPROACH
Johan E.S. Fransson, Linnaeus University, Sweden; Dag Björnberg, Softwerk, Sweden; Anton Holmström, Katam Technologies, Sweden; Jorge F. Lazo, AI Sweden, Sweden; Welf Löwe, Linnaeus University, Sweden; Mats Nilsson, Swedish University of Agricultural Sciences, Sweden; Jari Salo, University of Helsinki, Finland; Maurizio Santoro, Gamma Remote Sensing, Switzerland; Elif Sertel, Istanbul Technical University, Turkey; Shafiullah Soomro, Linnaeus University, Sweden; Jörgen Wallerman, Swedish University of Agricultural Sciences, Sweden; Cem Ünsalan, Yeditepe University, Turkey; Juris Zariņš, Latvian State Forest Research Institute, Latvia
WEPB.PA.93: HARMONIZING MACHINE LEARNING BASED PHENOLOGICAL MODELING: A UNIFIED WORKFLOW FOR COMPARATIVE ANALYSES
Mahdi Khodadadzadeh, University of Twente, Netherlands; Peter Kalverla, Netherlands eScience Center, Netherlands; Raul Zurita-Milla, University of Twente, Netherlands
Resources
No resources available.