182
Views
24
CrossRef citations to date
0
Altmetric
Miscellany

ENVISAT multisensor data for fire monitoring and impact assessment

&
Pages 4411-4416 | Received 19 Aug 2003, Accepted 01 May 2004, Published online: 14 Jul 2010
 

Abstract

The European ENVISAT satellite provides both optical and radar measurements of the Earth's surface. In this Letter, three ENVISAT instruments were used to investigate the extent and impact of the forest and peatland fires that devastated large areas in Central Kalimantan, Indonesia in 2002. Reduced spatial resolution MERIS imagery was used to identify simple land cover features and smoke plumes. Fire hotspots were detected by band 3.7 µm of Advanced Along Track Scanning Radiometer (AATSR) night-time acquisitions, and burnt areas were detected by Advanced Synthetic Aperture Radar (ASAR) wide swath radar imagery acquired before and after the fire event. The capability of ENVISAT to acquire data from different sensors simultaneously or within a short period of time greatly enhances the possibilities to monitor fire occurrence and assess fire impact.

Acknowledgments

The authors would like to thank ESA/ESRIN for financial support and free data provision by ESA in the framework of ENVISAT AO 689. Field data collection was done by Adi Jaya, University of Palangkaraya and was funded by the EU 5th Framework Programme (INCO-DEV project STRAPEAT). Special thanks also to Miss Annette Bechteler for providing the Landsat ETM fire scar data.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 689.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.