Vegetation-Fuels Mapping with Remote Sensing
Vegetation-Fuels Mapping with Remote Sensing
Session ID#: 281946
Session Description:
Dynamic measurements of vegetation fuel characteristics (structure, traits, type and moisture) are needed to inform wildfire risk, wildfire spread modeling, for planning prescribed burns and assessing post-fire recovery. In particular, we consider the estimation of canopy height, canopy cover, fuel loads, fuel moisture of live and dead fuels, and vegetation traits. This session explores different techniques to map wildland fuels leveraging a range of remote sensing instruments (thermal infrared, imaging spectroscopy, LiDAR, synthetic-aperture-radar) from airborne and space-borne platforms. This session welcomes submissions on the use of in situ methods and models for validating fuel characteristics and their impacts on fire spread models. This session also welcomes topics on the application of fuel products for different use cases (i.e. prescribed burns, modeling, recovery).
Co-Sponsor(s):
- B - Biogeosciences
- H - Hydrology
Index Terms:
0439 Ecosystems, structure and dynamics [BIOGEOSCIENCES]
0480 Remote sensing [BIOGEOSCIENCES]
4307 Methods [NATURAL HAZARDS]
4316 Physical modeling [NATURAL HAZARDS]
Primary Convener: Madeleine Pascolini-Campbell, NASA Jet Propulsion Laboratory, Pasadena, CA, United States
Conveners: Adrian Pascual, University of Maryland College Park, Geography, College Park, MD, United States, Antonio Ferraz, JPL/NASA/Caltech, Pasadena, United States and Nancy H F French, Michigan Technological University, Michigan Tech Research Institute, Houghton, MI, United States
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