MOP.P22.4

TRAINING MACHINE LEARNING ALGORITHMS FOR BURNED AREA MAPPING IN AUSTRALIA WITH SENTINEL-2 DATA

Kevin Tansey, University of Leicester, United Kingdom

Session:
MOP.P22: Remote Sensing for Climate Change Impacts III Poster

Track:
Societal Engagement and Impacts

Location:
Poster Area 22

Presentation Time:
Mon, 17 Jul, 14:15 - 15:45 Pacific Time (UTC -8)

Session Chair:
Subit Chakrabarti, Floodbase
Session Managers:
Al Adil Al Hinai and Ivan Arias and Shubham Awasthi and Ayoti Banerjee
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Session MOP.P22
MOP.P22.1: FLOOD DEPTH ESTIMATION USING SYNTHETIC APERTURE RADAR (SAR) IMAGERY AND TOPOGRAPHY: A CASE STUDY OF THE 2021 AND 2022 FLOODS IN HAWKESBURY VALLEY, AUSTRALIA
Puja Das, Northeastern University, United States; Kat Jensen, Shaunak De, Capella Space Corporation, United States; Auroop Ganguly, Northeastern University, United States
MOP.P22.2: AN APPROACH TO FLOOD MONITORING WITH SENTINEL-1 DATA OVER DEHRADUN REGION
Rishika Yadav, Ajay Kumar Maurya, Indian Institute of technology Roorkee, India; Anjana Naga Jyothi Kukunuri, Indian Institute of Technology Roorkee, India; Dharmendra Singh, Indian Institute of technology Roorkee, India
MOP.P22.3: SPECTROMETER FOR METHANE MONITORING USING A TILTED INTERFERENCE FILTER
Bruno Mattos, Utah State University, United States; Michael Kirk, Orion Space Solution, United States; Alan Marchant, Charles Swenson, Steve Brezenski, Utah State University, United States; Lucas Anderson, Chad Fish, John Noto, Orion Space Solution, United States; Jason Powell, Nicholas Wallace, Utah State University, United States; Mark Schoeberl, Science and Technology Corporation, United States
MOP.P22.4: TRAINING MACHINE LEARNING ALGORITHMS FOR BURNED AREA MAPPING IN AUSTRALIA WITH SENTINEL-2 DATA
Kevin Tansey, University of Leicester, United Kingdom
MOP.P22.5: AUGMENTATION OF URBAN ATMOSPHERE THROUGH AMALGAMATION OF GEOSPATIAL & ANTHROPOGENIC DATA
Dyutisree Halder, Harshit ., Abhishek Rai, Rahul Dev Garg, Indian Institute of Technology Roorkee, India
MOP.P22.6: REVEALING ENVIRONMENTAL INJUSTICE USING A SOIL-VEGETATION-ATMOSPHERE MODEL TO DERIVE GREEN COOLING SERVICES
Alby Duarte Rocha, Stenka Vulova, Michael Förster, Birgit Kleinschmit, Technische Universität Berlin, Germany
Resources
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