%0 Conference Proceedings
%4 sid.inpe.br/marte2/2017/10.27.15.48.19
%2 sid.inpe.br/marte2/2017/10.27.15.48.20
%@isbn 978-85-17-00088-1
%F 59748
%T Metodología preliminar para la detección y cuantificación temprana de la pérdida de bosques húmedos tropicales de Perú usando Landsat 8
%D 2017
%A Vargas, Christian,
%A Taquia, Andrés Alejandro Leon,
%A Chauca, Peter Gonsalo Hinostroza,
%A Serna, Freddy Ronald Gutiérrez,
%A Bolivar, Urpi Tania Brioso,
%@electronicmailaddress geounmsm2000@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 6468-6474
%S Anais
%1 Instituto Nacional de Pesquisas Espaciais (INPE)
%X This article shows the preliminary results obtained from the methodology that we have developed for the detection and early quantification of loss of Amazon rainforest. This methodology was designed and calibrated using Landsat 8 imagesspecifically, path/row: 006/066. Of the 13 images that were downloaded, 6 were taken between 2014-2015 and 7 were taken in 2016. All images were calibrated in TOA reflectance. Furthermore, clouds, mists, and shadows were eliminated using a decision tree based model. The images from 2014-2015 were used for the development and calibration of a forest loss detection model. In order to define the loss of forests, a model of spectral mixing was made between the forested and deforested area. This model allowed to set thresholds for the detection of forest loss at the sub-pixel level and without the need to create training samples. Areas defined as having loss of forests from 2014-2015 were eliminated from the images of 2016 in order to not quantify the forest losses that occurred in previous years. The results of the multi-temporal quantification of forest loss were verified using high-resolution images and fieldwork.
%9 Degradação de florestas
%@language es
%3 59748.pdf