MYME2: A Multi-Payload Integrated Procedure for the Automated, High-Resolution Remote Sensing of Burn Scars
Abstract
The most effective, passive remote-sensing methods for detecting and mapping burnt areas rely upon analysis of the behaviour of near-infrared (NIR) and short-wavelength infrared (SWIR) data, with wavelengths between 0.8 and 2.3 micrometers. As for vegetation fires, the key to effective change detections is to quantitatively distinguish between at-satellite reflectance changes - originated by temporary or local image acquisition conditions - and reflectance changes due to the actual vegetation changes in biomass, chlorophyll absorption and water content. We present here a method suitable for inter-annual and intra-annual mapping of fires, for winter fire mapping, and for estimation of damage level and vegetation re-growth within burnt areas. The related computing code is referred to as MYME2. Extensive road tests were carried out on ca. 120 images acquired 1996-2004 by Landsat 5-TM, Landsat 7-ETM+, SPOT-4 (both HRVIR-1 and -2) and ASTER. Areas dealt with by the MYME2 demonstration are the whole of Central and Southern Italy (respectively: 2000-2003 and 1996-2004) and the French island of Corsica (2001-2002).
Document Details
- Document Type
- Technical Report
- Publication Date
- Jul 25, 2005
- Accession Number
- ADA449931
Entities
People
- Barbara R. Hirn
- Fabrizio Ferrucci
Organizations
- University of Calabria