@Article{SanchesFeDiSoLuScMa:2018:SeImAg,
author = "Sanches, Ieda Del'Arco and Feitosa, Raul Queiroz and Diaz, Pedro
Marco Achanccaray and Soares, Marinalva Dias and Luiz, Alfredo
Jos{\'e} Barreto and Schultz, Bruno and Maurano, Luis Eduardo
Pinheiro",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and
{Pontif{\'{\i}}cia Universidade Cat{\'o}lica do Rio de Janeiro
(PUC-Rio)} and {Pontif{\'{\i}}cia Universidade Cat{\'o}lica do
Rio de Janeiro (PUC-Rio)} and {Pontif{\'{\i}}cia Universidade
Cat{\'o}lica do Rio de Janeiro (PUC-Rio)} and Embrapa and
Geoambiente and {Instituto Nacional de Pesquisas Espaciais
(INPE)}",
title = "Campo Verde database: seeking to improve agricultural remote
sensing of tropical areas",
journal = "IEEE Geoscience and Remote Sensing Letters",
year = "2018",
volume = "15",
number = "3",
pages = "369--373",
month = "Mar.",
note = "{Pr{\^e}mio CAPES Elsevier 2023 - ODS 2: Fome zero e Agricultura
sustent{\'a}vel}",
keywords = "Agricultural mapping/monitoring, double cropping systems, free
available database, remote sensing, synthetic aperture radar
(SAR), tropical agriculture.",
abstract = "In tropical/subtropical regions, the favorable climate associated
with the use of agricultural technologies, such as no tillage,
minimum cultivation, irrigation, early varieties, desiccants,
flowering inducing, and crop rotation, makes agriculture highly
dynamic. In this letter, we present the Campo Verde agricultural
database. The purpose of creating and sharing these data is to
foster advancement of remote sensing technology in areas of
tropical agriculture, primarily the development and testing of
methods for crop recognition and agricultural mapping. Campo Verde
is a municipality of Mato Grosso state, localized in the Cerrado
(Brazilian Savanna) biome, in central west Brazil. Soybean, maize,
and cotton are the primary crops cultivated in this region. Double
cropping systems are widely adopted in this area. There is also
livestock and forestry production. Our database provides the
land-use classes for 513 fields by month for one Brazilian crop
year (between October 2015 and July 2016). This information was
gathered during two field campaigns in Campo Verde (December 2015
and May 2016) and by visual interpretation of a time series of
Landsat-8/Operational Land Imager (OLI) images using an
experienced interpreter. A set of 14 preprocessed synthetic
aperture radar Sentinel-1 and 15 Landsat-8/OLI mosaic images is
also made available. It is important to promote the use of radar
data for tropical agricultural applications, especially because
the use of optical remote sensing in these regions is hindered by
the high frequency of cloud cover. To demonstrate the utility of
our database, results of an experiment conducted using the
Sentinel-1 data set are presented.",
doi = "10.1109/LGRS.2017.2789120",
url = "http://dx.doi.org/10.1109/LGRS.2017.2789120",
issn = "1545-598X",
language = "en",
targetfile = "sanches_campo.pdf",
urlaccessdate = "27 abr. 2024"
}