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International Geoscience and Remote Sensing Symposium

In 2021 a joint initiative of Belgium and The Netherlands

TH2.MM-18.1

Sentinel-2 based service for identify and map wildfire events

Alireza Taravat, Deimos Space UK, United Kingdom; Helena Łoś, Deimos Engenharia, Portugal
Session:
Remote Sensing for Forest and Vegetation Growth and Dynamics I
Track:
Land Applications
Presentation Time:
Thu, 15 Jul, 11:00-11:05 (UTC)
Thu, 15 Jul, 13:00-13:05 Central Europe Summer Time (UTC +2)
Thu, 15 Jul, 19:00-19:05 China Standard Time (UTC +8)
Thu, 15 Jul, 07:00-07:05 Eastern Daylight Time (UTC -4)
Session Co-Chairs:
Christian Koyama, JAXA and Alireza Taravat, Deimos Space UK
Session Manager:
Jie Zhao
Presentation
Discussion
Resources
Session TH2.MM-18
TH2.MM-18.1: Sentinel-2 based service for identify and map wildfire events
Alireza Taravat, Deimos Space UK, United Kingdom; Helena Łoś, Deimos Engenharia, Portugal
TH2.MM-18.2: COPERNICUS GLOBAL LAND SERVICE NDVI CONTINUITY WITH SENTINEL-3 DATA
Else Swinnen, Carolien Toté, Jonathan Leon Tavares, VITO, Belgium; Roselyne Lacaze, HYGEOS, France
TH2.MM-18.3: MICROTOPOGRAPHICAL CHARACTERISTICS OF FOREST DIEBACK IN A SEMI-ARID REGION RETRIEVED FROM GROUND AND SATELLITE DATA
Buho Hoshino, Daishi Matsukawa, Takashi Sasamura, Rakuno Gakuen University, Japan; Tserendulam Tserenochir, Uuganbayar Ganbold, Hustal National Park, Mongolia; Christopher McCarthy, Johns Hopkins University, United States; Masami Kaneko, Rakuno Gakuen University, Japan; Atsuko Sugimoto, Hokkaido University, Japan
TH2.MM-18.4: A VEGETATION PHENOLOGY MONITORING METHODOLOGY BASED ON SICHUAN PROVINCE
Fan Li, Yuxia Li, Yuan Cheng, University of Electronic Science and Technology of China, China; Cunjie Zhang, China Meteorological Administration, China; Lei He, Chengdu University of Information Technology, China
TH2.MM-18.5: STUDYING SPATIOTEMPORAL FRACTIONAL VEGETATION COVER VARIATIONS FROM 2000 TO 2020 IN CHANGJIANG BASIN, CHINA WITH GOOGLE EARTH ENGINE
Tianxiang Yang, University of Electronic Science and Technology of China, China; Yong Wang, East Carolina University, United States
TH2.MM-18.6: IMPROVING L-BAND SAR FOREST MONITORING BY BIG DATA DEEP LEARNING BASED ON ALOS-2 5 YEARS PAN-TROPICAL OBSERVATIONS
Christian Koyama, Japan Aerospace Exploration Agency (JAXA), Japan; Manabu Watanabe, Tokyo Denki University, Japan; Edson Sano, IBAMA, Brazil; Masato Hayashi, Izumi Nagatani, Takeo Tadono, Japan Aerospace Exploration Agency (JAXA), Japan; Masanobu Shimada, Tokyo Denki University, Japan
TH2.MM-18.7: COMBINING REMOTE SENSING, IN SITU DATA COLLECTION AND NUMERICAL FORECASTS FOR ENHANCING ENVIRONMENTAL PROTECTION IN BRAZILIAN AMAZONIAN SHELF
Mauricio Fragoso, CLS, France; Julio Pellegrini, PROOCEANO, Brazil; Maria Eduarda Pessoa, ENAUTA, Brazil
TH2.MM-18.8: THE INFLUENCE OF SPATIAL RESOLUTION ON THE RETRIEVAL OF CLUMPING INDEX BASED ON POLDER AND MODIS DATA
Siyang Yin, Ziti Jiao, Xiaoning Zhang, Lei Cui, Rui Xie, Jing Guo, Zidong Zhu, Sijie Li, Beijing Normal University, China; Yadong Dong, Aerospace Information Reasearch Institute, Chinese Academy of Sciences, China; Yidong Tong, Beijing Normal University, China

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