elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Contact | Deutsch
Fontsize: [-] Text [+]

Classification of burn severity using Moderate Resolution Imaging Spectroradiometer (MODIS): A case study in the jarrah-marri forest of southwest Western Australia

Walz, Yvonne and Maier, Stefan W. and Dech, Stefan and Colditz, Rene and Conrad, Christopher (2007) Classification of burn severity using Moderate Resolution Imaging Spectroradiometer (MODIS): A case study in the jarrah-marri forest of southwest Western Australia. Journal of Geophysical Research, 112 (G02002), pp. 1-14. DOI: 10.1029/2005JG000118. ISSN 0148-0227.

Full text not available from this repository.

Abstract

The southwest of Western Australia is a fire-prone landscape. In this Mediterranean region, prescribed fuel reduction burning is applied as a management tool by the state government's Department of Conservation and Land Management (CALM). Remote sensing data from the Moderate Resolution Imaging Spectroradiometer (MODIS) with multiple observations per day are investigated for operational monitoring of prescribed burning activities.The Normalized Burn Ratio (NBR) is sensitive to the amount of biomass, soil exposure and equivalent water content. The differenced Normalized Burn Ratio (ΔNBR) shows the greatest response of landscape change due to fire. The ratios, originally applied to 30-m Landsat 7 ETM+ data, have been transferred to 250–500 m MODIS data. The high temporal resolution and direct broadcast capability of MODIS are considered favorable for monitoring prefire and postfire conditions, in particular in near-real time. This study applies the ΔNBR to classify burn severity using MODIS data with various levels of preprocessing. On the basis of field studies, four burn severity classes are distinguished with best discrimination for high burn severity where the top layer of the vegetation canopy is altered. As expected, the spatial detail of the classifications from MODIS is reduced when compared to results from Landsat 7 ETM+, but the large-scale spatial patterns are similar. NBR time series of daily data showed that classes of burn severity can be separated for each acquisition date. Large temporal variations of the NBR limit class separation with absolute thresholds, in particular for data uncorrected for effects due to varying viewing geometries. However, MODIS top of atmosphere data allow near-real-time assessment of burn severity, important to fire managers for monitoring postfire conditions.

Document Type:Article
Title:Classification of burn severity using Moderate Resolution Imaging Spectroradiometer (MODIS): A case study in the jarrah-marri forest of southwest Western Australia
Authors:
AuthorsInstitution or Email of Authors
Walz, YvonneUniversity Bonn
Maier, Stefan W.Dept. of Land Information, Perth, Australia
Dech, Stefanstefan.dech@dlr.de
Colditz, Renerene.colditz@dlr.de
Conrad, ChristopherChristopher.Conrad@uni-wuerzburg.de
Date:2007
Journal or Publication Title:Journal of Geophysical Research
Refereed publication:Yes
In Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:112
DOI:10.1029/2005JG000118
Page Range:pp. 1-14
ISSN:0148-0227
Status:Published
Keywords:burn severity; MODIS; Normalized Burn Ratio (NBR); Mediterranean vegetation; Australia
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Space (old)
HGF - Program Themes:W EO - Erdbeobachtung
DLR - Research area:Space
DLR - Program:W EO - Erdbeobachtung
DLR - Research theme (Project):W - Vorhaben Geowissenschaftl. Fernerkundungs- und GIS-Verfahren (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center
Deposited By: Prof.Dr. Stefan Dech
Deposited On:04 Jun 2007
Last Modified:23 Jan 2014 11:36

Repository Staff Only: item control page

Browse
Search
Help & Contact
Informationen
electronic library is running on EPrints 3.3.12
Copyright © 2008-2012 German Aerospace Center (DLR). All rights reserved.