post-fire vegetation recovery

Supported by NSF grant DUE 0703185 FOR MORE INFORMATION CONTACT: Post-fire Vegetation Recovery Topic: Disasters, Environmental Management Problem Statement: Evaluate post fire recovery of vegetation using Remote Sensing and GIS Level: Intermediate to Advanced Software: ENVI, ArcGIS, Spatial Analyst Description: This Module uses real-world data from the October 2003 Paradise Fire in San Diego County, California to (1) determine vegetation loss and burn severity due to wildfire through generating pre- and post-fire Normalized Burn Ratios (NBRs) and an approximated dNBR for study area; (2) monitor post-fire vegetation regeneration through landscape-scale remotely sensed imagery performing a multi-temporal Normalized Difference Vegetation Index (NDVI) analysis; and (3) import the derived datasets into a GIS and, using a DEM for the study area, derive slope and aspect. Analysis of pre- and post-fire recovery of vegetation will be completed using products from derived datasets and Map Algebra in GIS. Keywords: NBR, NDVI, DEM, Slope, Aspect, Map Algebra Landsat, Chaparral, Burn Severity Vicki Drake ([email protected]) Santa Monica College Pre- Fire Post-Fire

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Post-fire Vegetation Recovery. Topic: Disasters, Environmental Management Problem Statement: Evaluate post fire recovery of vegetation using Remote Sensing and GIS Level: Intermediate to Advanced Software: ENVI, ArcGIS, Spatial Analyst Description: - PowerPoint PPT Presentation

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Supported by NSF grant DUE 0703185 FOR MORE INFORMATION CONTACT:

Post-fire Vegetation RecoveryTopic:Disasters, Environmental Management

Problem Statement: Evaluate post fire recovery of vegetation using Remote Sensing and GIS

Level: Intermediate to Advanced

Software: ENVI, ArcGIS, Spatial Analyst

Description:This Module uses real-world data from the October 2003 Paradise Fire in San Diego County, California to (1) determine vegetation loss and burn severity due to wildfire through generating pre- and post-fire Normalized Burn Ratios (NBRs) and an approximated dNBR for study area; (2) monitor post-fire vegetation regeneration through landscape-scale remotely sensed imagery performing a multi-temporal Normalized Difference Vegetation Index (NDVI) analysis; and (3) import the derived datasets into a GIS and, using a DEM for the study area, derive slope and aspect. Analysis of pre- and post-fire recovery of vegetation will be completed using products from derived datasets and Map Algebra in GIS.

Keywords: NBR, NDVI, DEM, Slope, Aspect, Map Algebra Landsat, Chaparral, Burn Severity

Vicki Drake ([email protected])Santa Monica College

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