A multitemporal algorithm for burned area detection in Mexican woodland and shrubland environment with SPOT-VEGETATION data

Author

Boschetti, Luigi

Author_Institution

Global Vegetation Monitoring Unit, Inst. for Environ. & Sustainability, Ispra, Italy

Volume

2

fYear

2003

fDate

21-25 July 2003

Firstpage

1293

Abstract

The paper presents a multitemporal algorithm for the detection of burned areas using daily SPOT-VEGETATION multispectral remotely sensed data. The algorithm is based on a change detection approach, where the variation of the radiance due to the viewing/illumination geometry is explicitly taken into account. The algorithm, which has been developed in the framework of the GBA2000 initiative, has been applied to the Mexico for the dry season of year 2000.

Keywords

forestry; geophysical signal processing; remote sensing; terrain mapping; vegetation mapping; GBA2000 initiative; Global Burned Area 2000; Mexican woodland; Mexico; SPOT-VEGETATION data; burned area detection; change detection approach; illumination geometry; multispectral data; multitemporal algorithm; noise masking; radiance variation; remote sensing; shrubland environment; viewing geometry; Change detection algorithms; Fires; Geometry; Image quality; Information retrieval; Kernel; Lighting; Production; Remote monitoring; Vegetation mapping;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International

Print_ISBN

0-7803-7929-2

Type

conf

DOI

10.1109/IGARSS.2003.1294087

Filename

1294087