@InProceedings{SanchezPASSCBC:2019:LaCoCl,
author = "Sanchez, Alber and Picoli, Michelle and Andrade, Pedro Ribeiro de
and Sim{\~o}es, Rolf and Santos, Lorena and Chaves, Michel and
Begotti, Rodrigo and Camara, Gilberto",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas
Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais
(INPE)} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and
{} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
title = "Land cover classifications of clear-cut deforestation using deep
learning",
booktitle = "Anais... do 20º Simp{\'o}sio Brasileiro de Geoinform{\'a}tica",
year = "2019",
editor = "Lisboa Filho, Jugurta and Monteiro, Antonio Miguel Vieira",
organization = "Simp{\'o}sio Brasileiro de Geoinform{\'a}tica, 20. (GEOINFO)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
keywords = "geoinformatica.",
abstract = "Using Deep Learning Neural Networks, we made supervised
classifications of a small region of the Brazilian Amazon in order
to map clearcut deforestation. We organized Landsat 8 Surface
Reflectance images into time series and we classify the images
using the bands ad a Linear Mixture Model. We obtained similar
accuracies using both data sets when compared to the data reported
by the Brazilian Amazon Deforestation Monitoring Program (PRODES).
These results suggest the possibilities of using automatic
supervised techniques to extend the coverage of forest monitoring
programs to those excluded areas by lack of human resources.",
conference-location = "S{\~a}o Jos{\'e} dos Campos",
conference-year = "11 -13 nov. 2019",
issn = "2179-4847",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGPDW34R/3UFDE4P",
url = "http://urlib.net/ibi/8JMKD3MGPDW34R/3UFDE4P",
targetfile = "48-56.pdf",
urlaccessdate = "05 jun. 2024"
}