TUP.P19: Forest and Vegetation Mapping Through Machine Learning Methods I
Tue, 18 Jul, 14:15 - 15:45 Pacific Time (UTC -7)
Location: Poster Area 19
Session Type: Poster
Track: Land Applications

TUP.P19.1: EVALUEATE THE EFFECT OF UAV-BASED MULTITEMPORAL AND MULTISPECTRAL IMAMGE ON INVASIVE ALIEN PLANT DETECTION
Hung Li, National Chung-Hsing University, Taiwan; Chin-Rou Hsu, Taiwan University, Taiwan; Bao-Hua Shao, Nan-Tou Division Office, Taiwan; Nan-Chang Lo, Kai-Yi Huang, Chung-Hsing University, Taiwan

TUP.P19.3: MAPPING FOREST VERTICAL STRUCTURE ATTRIBUTES WITH GEDI, SENTINEL-1, AND SENTINEL-2
Narumasa Tsutsumida, Saitama University, Japan; Akira Kato, Chiba University, Japan; Takeshi Osawa, Tokyo Metropolitan University, Japan; Hideyuki Doi, Kyoto University, Japan

TUP.P19.4: QUANTIFYING VCMAX AND PHYSIOLOGICAL PLANT TRAITS COUPLING SENTINEL-2 IMAGERY WITH BYOPHYSICAL MODELS IN FLUX TOWERS
Carlos Camino, Keith Arano, Loic Dutrieux, Mirco Migliavacca, Pieter Beck, Joint Research Centre (JRC), European Commission, Italy

TUP.P19.5: EARLY VALIDATION OF A LIVE FUEL MOISTURE CONTENT PRODUCT BASED ON SENTINEL-2 AND SENTINEL-3 IMAGES
Valerio Pampanoni, Giovanni Laneve, Sapienza University, Italy; Domingos Xavier Viegas, Daniela Alves, Luis Mario Ribeiro, University of Coimbra, Portugal; Grazia Pellizzaro, Valentina Bacciu, Andrea Ventura, National Research Council of Italy, Italy

TUP.P19.6: LAI TIME SERIES RECONSTRUCTION FROM SENTINEL-2 IMAGERY USING VEGETATION GROWING PHENOLOGY FEATURE
Naijie Peng, Siqi Yang, Yunzhu Tao, Dechao Zhai, Wenjie Fan, Peking University, China; Qiang Liu, Beijing Normal University, China

TUP.P19.7: UTILIZING TRANSFER LEARNING WITH ARTIFICIAL INTELLIGENCE FOR SCALING-UP LICHEN COVERAGE MAPS
Galen Richardson, Anders Knudby, University of Ottawa, Canada; Wenjun Chen, Natural Resources Canada, Canada

TUP.P19.8: DETECTION OF DEGRADED FORESTS IN REPUBLIC OF GUINEA, USING SENTINEL-2 IMAGES AND DEEP LEARNING
An VO QUANG, IGN FI, Université de Paris, France; Nicolas DELBART, Université de Paris, France; Gabriel JAFFRAIN, Camille PINET, IGN FI, France

TUP.P19.9: STUDY OF THE TRANSFERABILITY OF RFR-BASED AND CNN-BASED ALGORITHMS FOR CANOPY HEIGHT PREDICTION FROM SENTINEL-2 IMAGES
Xiaobo Liu, Rakesh Mishra, Yun Zhang, University of New Brunswick, Canada

TUP.P19.10: 1D-CNN FOR LAND COVER CLASSIFICATION OF SENTINEL-3 ALTIMETRY WAVEFORMS USING ADDITIONAL FEATURES
Maximilian Eitel, Michael Schmitt, Universität der Bundeswehr Munich, Germany

TUP.P19.11: CLASSIFICATION OF BAMBOO AND EVERGREEN JAPANESE BAY TREES FROM COASTAL SANRIKU FORESTS OF NORTHERN JAPAN
Chinatsu YONEZAWA, Tohoku University, Japan; Tomoki NARISAWA, Iwate University, Japan

TUP.P19.12: EVALUATING OF ESA-CCI LAND COVER DATA FOR USE IN THE CLASSIC LAND MODEL
Libo Wang, Paul Bartlett, Ed Chan, Climate Processes Section, Climate Research Division, Environment and Climate Change Canada, Canada; Vivek K. Arora, Canadian Centre for Climate Modelling and Analysis, Climate Research Division, Environment and Climate Change Canada, Canada; Salvatore R. Curasi, Department of Geography and Environmental Studies, Carleton University, Canada