BAMS: A Tool for Supervised Burned Area Mapping Using Landsat Data

Aitor Bastarrika; Maite Alvarado; Karmele Artano; Maria Pilar Martinez; Amaia Mesanza; Leyre Torre; Rubén Ramo; Emilio Chuvieco

doi:10.3390/rs61212360

Remote Sensing (Dec 2014)

BAMS: A Tool for Supervised Burned Area Mapping Using Landsat Data

Aitor Bastarrika,
Maite Alvarado,
Karmele Artano,
Maria Pilar Martinez,
Amaia Mesanza,
Leyre Torre,
Rubén Ramo,
Emilio Chuvieco

Affiliations

Aitor Bastarrika: Department of Mining and Metallurgical Engineering and Materials Science, School of Engineering of Vitoria-Gasteiz, University of the Basque Country UPV/EHU, Nieves Cano 12, 01006 Vitoria-Gasteiz, Spain
Maite Alvarado: Department of Applied Mathematics, School of Engineering of Vitoria-Gasteiz, University of the Basque Country UPV/EHU, Nieves Cano 12, 01006 Vitoria-Gasteiz, Spain
Karmele Artano: Department of Mining and Metallurgical Engineering and Materials Science, School of Engineering of Vitoria-Gasteiz, University of the Basque Country UPV/EHU, Nieves Cano 12, 01006 Vitoria-Gasteiz, Spain
Maria Pilar Martinez: Department of Mining and Metallurgical Engineering and Materials Science, School of Engineering of Vitoria-Gasteiz, University of the Basque Country UPV/EHU, Nieves Cano 12, 01006 Vitoria-Gasteiz, Spain
Amaia Mesanza: Department of Mining and Metallurgical Engineering and Materials Science, School of Engineering of Vitoria-Gasteiz, University of the Basque Country UPV/EHU, Nieves Cano 12, 01006 Vitoria-Gasteiz, Spain
Leyre Torre: Department of Mining and Metallurgical Engineering and Materials Science, School of Engineering of Vitoria-Gasteiz, University of the Basque Country UPV/EHU, Nieves Cano 12, 01006 Vitoria-Gasteiz, Spain
Rubén Ramo: Department of Geology, Geography and Environment, University of Alcalá, Calle Colegios, 2, 28801 Alcalá de Henares, Spain
Emilio Chuvieco: Department of Geology, Geography and Environment, University of Alcalá, Calle Colegios, 2, 28801 Alcalá de Henares, Spain

DOI: https://doi.org/10.3390/rs61212360
Journal volume & issue: Vol. 6, no. 12
pp. 12360 – 12380

Abstract

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A new supervised burned area mapping software named BAMS (Burned Area Mapping Software) is presented in this paper. The tool was built from standard ArcGISTM libraries. It computes several of the spectral indexes most commonly used in burned area detection and implements a two-phase supervised strategy to map areas burned between two Landsat multitemporal images. The only input required from the user is the visual delimitation of a few burned areas, from which burned perimeters are extracted. After the discrimination of burned patches, the user can visually assess the results, and iteratively select additional sampling burned areas to improve the extent of the burned patches. The final result of the BAMS program is a polygon vector layer containing three categories: (a) burned perimeters, (b) unburned areas, and (c) non-observed areas. The latter refer to clouds or sensor observation errors. Outputs of the BAMS code meet the requirements of file formats and structure of standard validation protocols. This paper presents the tool’s structure and technical basis. The program has been tested in six areas located in the United States, for various ecosystems and land covers, and then compared against the National Monitoring Trends in Burn Severity (MTBS) Burned Area Boundaries Dataset.

Published in Remote Sensing

ISSN: 2072-4292 (Online)
Publisher: MDPI AG
Country of publisher: Switzerland
LCC subjects: Science
Website: http://www.mdpi.com/journal/remotesensing/

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