%0 Conference Proceedings
%4 sid.inpe.br/marte2/2017/10.23.17.07.35
%2 sid.inpe.br/marte2/2017/10.23.17.07.36
%@isbn 978-85-17-00088-1
%F 59444
%T Mapeamento de queimadas da cobertura vegetal do Parque Nacional de Ilha Grande com uso de dado MOD09 e produto CCI
%D 2017
%A Fragal, Everton Hafemann,
%A Gasparetto, Nelson Vicente Lovatto,
%@electronicmailaddress evertonhaf@gmail.com
%E Gherardi, Douglas Francisco Marcolino,
%E Aragão, Luiz Eduardo Oliveira e Cruz de,
%B Simpósio Brasileiro de Sensoriamento Remoto, 18 (SBSR)
%C Santos
%8 28-31 maio 2017
%I Instituto Nacional de Pesquisas Espaciais (INPE)
%J São José dos Campos
%P 501-508
%S Anais
%1 Instituto Nacional de Pesquisas Espaciais (INPE)
%X To map burned vegetation cover at National Park Big Island (NPBI) after recently burn occurrence is essential to analyze remote sensing products that have high temporal resolution and have suitable spatial resolution compared to Landsat images. Is important to analyze performances of MODIS data and global product by Climate Change Initiative (CCI) program to map burned areas. The aim of this work was analyze performances of MODIS MOD09 data and CCI global product for mapping burned vegetation cover at National Park Big Island in period of 12/05/2006, 18/07/2007 and 27/12/2008. For this, we used infrared near images of MOD09 data with temporal resolution of one or two days in Equator and spatial resolution of 250m. Also, we used CCI product with monthly distribution but each pixel registers the Julian day of burned area occurrence and with spatial resolution of 300m. Burned areas maps created by MOD09 data and CCI product were compare with burned areas maps generated by Landsat TM images. The results showed MOD09 data was more suitable to map burned vegetation cover at park with average overestimates 7% of burned areas than burned areas mapped by Landsat images. Furthermore, MOD09 data showed better visual accuracy at burned areas distribution compared to Landsat images and obtained better average performance of validation indexes, as Kappa (0.85), Quantity Disagreement (DQ= 2.3) and Allocation Disagreement (AD= 4.6). The burned areas mapped by CCI product showed average underestimate 61% compared to burned areas created by Landsat images.
%9 Cartografia e fotogrametria
%@language pt
%3 59444.pdf