%0 Conference Proceedings
%4 sid.inpe.br/marte2/2015/06.15.14.12.07
%2 sid.inpe.br/marte2/2015/06.15.14.12.08
%@isbn 978-85-17-0076-8
%F 124
%T Spectral indices and multi-temporal change image detection algorithms for burned area extraction in the Brazilian Cerrado
%D 2015
%A Melchiori, Arturo Emiliano,
%A Cândido, Pietro de Almeida,
%A Libonati, Renata,
%A Morelli, Fabiano,
%A Setzer, Alberto,
%A Jesus, Silvia Cristina de,
%A Fonseca, Leila Maria Garcia,
%A Korting, Thales Sehn,
%@affiliation
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation
%@affiliation
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@electronicmailaddress emiliano.melchiori@cptec.inpe.br
%E Gherardi, Douglas Francisco Marcolino,
%E Aragão, Luiz Eduardo Oliveira e Cruz de,
%B Simpósio Brasileiro de Sensoriamento Remoto, 17 (SBSR)
%C João Pessoa
%8 25-29 abr. 2015
%I Instituto Nacional de Pesquisas Espaciais (INPE)
%J São José dos Campos
%P 643-650
%S Anais
%1 Instituto Nacional de Pesquisas Espaciais (INPE)
%X Accurate burned area information is required and of particular interest for the scientific communities dealing with land use and climate changes. This paper presents the results of a separation index M in the comparison of seven spectral indices for automatic extraction of burned area scars, tested with Landsat TM in the Cerrado (savannah) biome of Brazil. A series of six TM scenes (path/row: 221/067) covering the period of July to September 2010 was used. Input images were accepted with cloud cover up to 10%, and the maximum period of time between consecutive scenes was up to 1 month. Burn scar maps were produced manually for intersection with the extraction of burned and non-burned areas from the indices. Several spectral indices were calculated: Normalized Difference Vegetation Index (NDVI), Normalized Burn Ratio Long SWIR Variation (NBRL), Normalized Burn Ratio Short and Long SWIR Variation (NBRSL), MODIS Burned Area Index Short SWIR Variation (BAIMS), MODIS Burned Area Index Long SWIR Variation (BAIML), Mid Infrared Burned Index (MIRBI) and W Index, and different approaches for multi-temporal change detection were evaluated: difference, normalized difference, relative difference and a variation of the delta difference. Results show a strong performance of the NBRSL, NDVI, NBRL, W and MIRBI indices, in combination with the variation of the delta difference. The results obtained can be considered as an important part in the development of automatic burned area extraction tools for the Cerrado region, particularly for conservation areas were sudden changes are commonly associated with fires.
%9 Processamento de imagens
%@language en
%3 p0124.pdf