FR2.R6.2
Reducing False Fire Detections in VIIRS Using Temporal Convolutional Network
Zhaoyu Wang, Lin Sun, Yulong Fan, Xirong Liu, Shandong University of Science and Technology, China
Session:
FR2.R6: Remote Sensing and Geospatial Modeling of Wildfire Risk, Detection, and Recovery (3/3) Oral
Track:
Community Contributed Themes
Location:
Cardozo
Presentation Time:
Friday, 14 August, 11:15 - 11:30
Presentation
Discussion
Resources
No resources available.
Session FR2.R6
FR2.R6.1: BURNED AREA DRIVES HYDROLOGICAL RESPONSES TO WILDFIRE IN CALIFORNIA BASINS
Amanda Lopez, Madeleine Pascolini-Campbell, Colin Raymond, Nicholas Parazoo, Jet Propulsion Laboratory, California Institute of Technology, United States; Megan Ward-Baranyay, San Diego State University, United States; Christine Lee, Jet Propulsion Laboratory, California Institute of Technology, United States
FR2.R6.2: Reducing False Fire Detections in VIIRS Using Temporal Convolutional Network
Zhaoyu Wang, Lin Sun, Yulong Fan, Xirong Liu, Shandong University of Science and Technology, China
FR2.R6.3: HIMAWARI-8/9 ACTIVE FIRE DETECTION USING SPATIOTEMPORAL-CONTEXTUAL DEVIATION FROM HISTORICAL BACKGROUND REFERENCE
Xirong Liu, Lin Sun, Yulong Fan, Zhaoyu Wang, Chunxiang Wang, Shandong University of Science and Technology, China
FR2.R6.4: Fuel Moisture Estimation Using Polarimetric SAR in Deep Learning Model for Fishlake National Forest, UT
Karen An, Annemarie Peacock, Richard H. Chen, Yunling Lou, Michael Denbina, Jet Propulsion Laboratory, United States; Carlos Alberto Silva, University of Florida, United States; Andrew T. Hudak, USDA Forest Service, United States; Naiara Pinto, Madeleine Pascolini-Campbell, Julie Rolla, Kimberley R. Miner, Jet Propulsion Laboratory, United States
Resources
No resources available.