FRP2.PS.7
FOREST FIRE INTENSITY ANALYSIS USING SUPER-RESOLUTION SWIR GENERATED SENTINEL-2 AND PLANETSCOPE
Byeongcheol Kim, Seonyoung Park, Youkyung Han, Seoul National University of Science and Technology, Korea (South)
Session:
FRP2.PS: Improved Characterization and Understanding of Wildfires and their Environmental Impacts using Satellite Data and Artificial Intelligence III Poster
Track:
Community-Contributed Sessions
Location:
Poster Area
Presentation Time:
Friday, 8 August, 14:30 - 15:45
Presentation
Discussion
Resources
No resources available.
Session FRP2.PS
FRP2.PS.1: Incorporating fire spread simulation and machine learning algorithms to estimate crown fire potential for pine forests in Sichuan, China
Rui Chen, Binbin He, Yanxi Li, Yiru Zhang, Zhanmang Liao, Chunquan Fan, Jianpeng Yin, Hongguo Zhang, University of Electronic Science and Technology of China, China
FRP2.PS.2: AUTOMATED MACHINE LEARNING FRAMEWORK TO PREDICT AND MANAGE FOREST FIRES
Saurabh Toraskar, Adil Khan, M Niranjan Naik, Abhilash Singh, Kumar Gaurav, Indian Institute of Science Education and Research Bhopal, India
FRP2.PS.3: VALIDATION OF HIMAWARI-8 10-MINUTE WILDFIRE PRODUCTS: COMPARED WITH POLAR-ORBITING SATELLITES IN LONG TIME SERIES
Zifeng Liu, Qiang Zhang, Qi Wang, Yaming Zheng, Dalian Maritime University, China
FRP2.PS.4: A SEMI-AUTOMATIC METHOD FOR DETECTING BURNED AREAS AND DATING HISTORICAL FIRES USING LANDSAT DATA
Ana Carvalho, Pierre Horwitz, Eddie Van Etten, David Blake, Edith Cowan University, Australia
FRP2.PS.5: DOWNSCALE GOES MEASUREMENTS FOR FIRE DETECTION
Luke Taulbee, Yifan Yang, Haonan Chen, Colorado State University, United States; Changyong Cao, Center for Satellite Applications and Research, United States; Zhengwei Yang, National Agricultural Statistics Service, United States; Qi Chen, University of Hawai‘i at Manoa, United States; Zhe Li, Rick Mueller, National Agricultural Statistics Service, United States; Noa Lincoln, University of Hawai‘i at Manoa, United States
FRP2.PS.6: Estimating forest litter fuel load by integrating remotely sensed foliage phenology and modeled litter decomposition
Yanxi Li, Yiru Zhang, Xingwen Quan, Binbin He, University of Electronic Science and Technology of China, China; Veraverbeke Sander, Vrije Universiteit Amsterdam, China; Zhanmang Liao, University of Electronic Science and Technology of China, China; A.J. Janssen Thomas, Vrije Universiteit Amsterdam, China
FRP2.PS.7: FOREST FIRE INTENSITY ANALYSIS USING SUPER-RESOLUTION SWIR GENERATED SENTINEL-2 AND PLANETSCOPE
Byeongcheol Kim, Seonyoung Park, Youkyung Han, Seoul National University of Science and Technology, Korea (South)
FRP2.PS.8: ASSESSING POST-FIRE SOIL CARBON LOSS IN THE BOREAL-ARCTIC REGION USING MULTI-SOURCE REMOTE SENSING DATA
Wei Peng, Yonghong Yi, Tongji University, China
FRP2.PS.9: ENHANCED MAPPING OF WILDFIRE-BURNED AREAS USING GNSS-REFLECTOMETRY RAW INTERMEDIATE FREQUENCY DATA
Archana Kannan, Amer Melebari, University of Southern California, United States; Grigorios Tsagkatakis, Foundation for Research and Technology-Hellas (FORTH), Greece; Angel Farguell, San Jose State University, United States; Kurtis Nelson, EROS Center at United States Geological Survey, United States; Adam Kochanski, San Jose State University, United States; Vinay Ravindra, Sreeja Nag, Bay Area Environmental Research Institute at NASA Ames Research Centre, United States; Chris Ruf, University of Michigan, United States; Mahta Moghaddam, University of Southern California, United States
FRP2.PS.10: Reconstructing Savannah Wildfires: A Deep Learning Framework for Satellite Data Fusion
Simon Ramsey, Karin Reinke, Simon Jones, RMIT University, Australia
Resources
No resources available.