Utilización de imágenes hiperespectrales AHS para el estudio de zonas afectadas por incendios forestales

Translated title of the contribution: Use of AHS hyperspectral images to study areas affected by forest fires

Federico González-Alonso*, M. Huesca Martinez, Jose Miguel Cuevas, Sergio Martinez, Jose Antonio Gomez, Eduardo De Miguel

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

1 Downloads (Pure)

Abstract

The present research studies the potentiality of hyperespectral data to monitor forest burned areas. The study area is located in Guadalajara province (Spain) where a large forest fire occurred in July 2005. The Remote Sensing Laboratory of CIFOR-INIA has four hyperspectral images of the affected area. Burn area estimation and burn severity analysis were carried out using the hyperspectral image of 2005. Total affected area accounted for 12.983,50 ha. This was classified into three categories: high severity (2.544,84 ha), median severity (7.280,08 ha) and low severity (3.152,57 ha). Images from 2006 to 2008 were used for monitoring of the post-fire vegetation recovery. The results show that AHS images were accurate in order to describe burned area and vegetation recovery behaviour. This information could be very useful for the future recuperation activities.
Translated title of the contributionUse of AHS hyperspectral images to study areas affected by forest fires
Original languageSpanish
Pages (from-to)29-46
Number of pages18
JournalRevista de Teledeteccion
Volume33
Publication statusPublished - 27 Apr 2010
Externally publishedYes

Keywords

  • ITC-CV

Fingerprint

Dive into the research topics of 'Use of AHS hyperspectral images to study areas affected by forest fires'. Together they form a unique fingerprint.

Cite this