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

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

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

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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 contribution	Use of AHS hyperspectral images to study areas affected by forest fires
Original language	Spanish
Pages (from-to)	29-46
Number of pages	18
Journal	Revista de Teledeteccion
Volume	33
Publication status	Published - 27 Apr 2010
Externally published	Yes

Keywords

ITC-CV

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@article{10172afb8d5f41399cb58fb05f6dc551,

title = "Utilizaci{\'o}n de im{\'a}genes hiperespectrales AHS para el estudio de zonas afectadas por incendios forestales",

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.",

keywords = "ITC-CV",

author = "Federico Gonz{\'a}lez-Alonso and {Huesca Martinez}, M. and Cuevas, {Jose Miguel} and Sergio Martinez and Gomez, {Jose Antonio} and {De Miguel}, Eduardo",

year = "2010",

month = apr,

day = "27",

language = "Spanish",

volume = "33",

pages = "29--46",

journal = "Revista de Teledeteccion",

issn = "1133-0953",

publisher = "Asociacion Espanola de Teledeteccion",

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TY - JOUR

T1 - Utilización de imágenes hiperespectrales AHS para el estudio de zonas afectadas por incendios forestales

AU - González-Alonso, Federico

AU - Huesca Martinez, M.

AU - Cuevas, Jose Miguel

AU - Martinez, Sergio

AU - Gomez, Jose Antonio

AU - De Miguel, Eduardo

PY - 2010/4/27

Y1 - 2010/4/27

N2 - 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.

AB - 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.

KW - ITC-CV

M3 - Article

SN - 1133-0953

VL - 33

SP - 29

EP - 46

JO - Revista de Teledeteccion

JF - Revista de Teledeteccion

ER -

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

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