%0 Conference Proceedings
%4 sid.inpe.br/marte2/2017/10.27.12.47.10
%2 sid.inpe.br/marte2/2017/10.27.12.47.11
%@isbn 978-85-17-00088-1
%F 60016
%T Estimativa para identificação de áreas de pasto na Amazônia brasileira utilizando processamento de imagens de radar
%D 2017
%A Pereira, Gabriel Henrique de Almeida,
%A Moura, Pierre,
%A Centeno, Jorge Antonio Silva,
%@electronicmailaddress pereira.gha@hotmail.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 2676-2683
%S Anais
%1 Instituto Nacional de Pesquisas Espaciais (INPE)
%X The objective of this work is to show an automated method for determination of deforested areas based on images of Synthetic Aperture Radar (SAR) airborne, being used in subproject Land Cartography. This project aims to generate cartographic products of the area of almost 1.8 million square kilometers called empty cartographic area from the Legal Amazon region. This project is also known as Radiography of the Amazon. Due to the large volume of data generated, a methodology for automatic identification of deforested areas is critical to the use of these inputs. Image Processing tools can contribute to the automatic extraction of information from SAR images, optimizing processing large amounts of data. The steps to the methodology for identifying areas of pasture in the Brazilian Amazon are by using low-pass filters, calculation of variance values of the digital values of pixels in the image and mathematical morphology. At the end, it is possible to verify that this methodology can identify deforested areas intended for farming, since these regions can be characterized by low values of the variance from the pixels values that represent it.
%9 Degradação de florestas
%@language pt
%3 60016.pdf