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
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; Megan Ward-Baranyay, San Diego State University; Christine Lee, Jet Propulsion Laboratory, California Institute of Technology
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
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
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; Carlos Alberto Silva, University of Florida; Andrew T. Hudak, USDA Forest Service; Naiara Pinto, Madeleine Pascolini-Campbell, Julie Rolla, Kimberley R. Miner, Jet Propulsion Laboratory
Resources
No resources available.