An algorithm for mapping burnt areas in Australia using SPOT-VEGETATION data

An algorithm has been developed to map burnt areas over the Australian continent using SPOT-VEGETATION (VGT) S1 satellite images. The algorithm is composed of a set of thresholds applied to each pixel's value of the VGT spectral channels, two spectral indices and their temporal difference. The...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on geoscience and remote sensing Jg. 41; H. 4; S. 907 - 909
Hauptverfasser: Stroppiana, D., Tansey, K., Gregoire, J.-M., Pereira, J.M.C.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York, NY IEEE 01.04.2003
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Algorithms
Applied geophysics
Australia
Classification
Classification tree analysis
Clouds
Continents
Earth sciences
Earth, ocean, space
Engineering and environment geology. Geothermics
Exact sciences and technology
Fires
Internal geophysics
Land surface
Mapping
Pollution, environment geology
Preprocessing
Reflectivity
Regression
Regression tree analysis
Satellites
Spectra
Thresholds
Vegetation mapping
Australia
algorithms
biomass
Spot
Australasia
Space remote sensing
Biomass burning
vegetation
remote sensing
cartography
classification
burnt area mapping
fires
channels
regression
methodology
Pixel
classification and regression trees (CART) algorithm
ISSN:0196-2892, 1558-0644
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:An algorithm has been developed to map burnt areas over the Australian continent using SPOT-VEGETATION (VGT) S1 satellite images. The algorithm is composed of a set of thresholds applied to each pixel's value of the VGT spectral channels, two spectral indices and their temporal difference. The threshold values have been derived by means of a supervised classification methodology based on the classification and regression trees algorithm. A procedure has also been developed specifically for preprocessing the daily S1 images for burnt area mapping purposes. The final product is composed of ten-day and monthly burnt area maps over Australia for the full year 2000.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ObjectType-Article-2
ObjectType-Feature-1
content type line 23
ISSN:0196-2892
1558-0644
DOI:10.1109/TGRS.2003.808898