%0 Conference Proceedings
%4 urlib.net/www/2017/12.05.13.09.18
%2 urlib.net/www/2017/12.05.13.09.19
%F lattes: 8183796256304624 4 ShimabukuroAraiSantJorg:2017:MoDeFo
%T Monitoring deforestation and forest degradation using multi-temporal fraction images derived from landsat sensor data in the brazilian amazon
%D 2017
%A Shimabukuro, Yosio Edemir,
%A Arai, Egidio,
%A Santos, Erone Ghizoni dos,
%A Jorge, Anderson,
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@electronicmailaddress yosio.shimabukuro@inpe.br
%@electronicmailaddress egidio.arai@inpe.br
%B International Geoscience and remote Sensing Symposium
%C Fort Worth, Texas
%8 23-28 July
%S Anais
%K Forest degradation, Landsat, Remote Sensing.
%@language pt
%3 yosio_monitoring.pdf
%U http://www.igarss2017.org/
%O Informações Adicionais: This work presents a semi-automated procedure for monitoring deforestation and forest degradation in the Brazilian Amazon using a multi-temporal dataset of Landsat TM images. Degradation in forest cover in the Brazilian Amazon region is mainly due to selective logging of intact/un-managed forests and to uncontrolled fires. For this study, part of a Landsat TM scene located in the State of Mato Grosso, in the ?deforestation arc? of the Brazilian Amazon was selected. Landsat TM images acquired in years 2005, 2006, 2007, 2008, 2009, 2010 and 2011 and one RapidEye image acquired in 2013 were used in this study. The results showed that the proposed approach can be used for monitoring deforestation and forest degradation activities by selective logging and fires. The current availability of high spatial resolution data such as Sentinel-2 is expected to allow improving the assessment of deforestation and forest degradation processes using the proposed method and, consequently, facilitating the implementation of actions of forest protection..