@InProceedings{BoulomytisAlve:2012:CaStBu,
author = "Boulomytis, Vassiliki Terezinha Galv{\~a}o and Alves,
Cl{\'a}udia Durand",
affiliation = "{} and undefined",
title = "Detection of potato plantation areas with medium resolution
images: case study of Bueno Brand{\~a}o, MG",
booktitle = "Proceedings...",
year = "2012",
editor = "Feitosa, Raul Queiroz and Costa, Gilson Alexandre Ostwald Pedro da
and Almeida, Cl{\'a}udia Maria de and Fonseca, Leila Maria Garcia
and Kux, Hermann Johann Heinrich",
pages = "639--643",
organization = "International Conference on Geographic Object-Based Image
Analysis, 4. (GEOBIA).",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
keywords = "Pixel-based Classification, OBIA, Assessment of Plantations,
Preservation Area Interference, Agro-chemical Use, Water
Contamination Risk.",
abstract = "In the city of Bueno Brand{\~a}o, South of Minas Gerais State,
Brazil, the Watershed of Rio das Antas is located prior to the
public water supply and is susceptible to hydro-degradation due to
the intensive agricultural activities developed in the area. The
potato plantation is the most significant cropping in the city.
Because of the possibility of interfering in the preservation
areas, mainly the ones surrounding water courses and springs, it
is very important to do the assessment of the plantation sites, in
order to avoid the risk of water contamination. The procedures
adopted by the agro activity farmers generally present the
following features: intensive use of agro-chemicals, cropping in
places with slopes which are higher than 20%, close to or in
permanent preservation areas. The scope of this study was to
develop the proper methodology for the assessment of the
plantation areas, regarding the short time of procedure, as the
period between the plantation and the harvest occurs in six months
the furthest. These areas vary year in year out, as the plantation
sites often change due to the land degradation. Because of that,
geotechnologies are recommended to detect the plantation areas by
the use of satellite images and accurate data processing.
Considering the availability of LANDSAT medium resolution images,
methods for their appropriate classification were approached to
provide effective target detection.",
conference-location = "Rio de Janeiro",
conference-year = "May 7-9, 2012",
isbn = "978-85-17-00059-1",
language = "en",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP8W/3BT2CGH",
url = "http://urlib.net/ibi/8JMKD3MGP8W/3BT2CGH",
targetfile = "176.pdf",
type = "Classification",
urlaccessdate = "02 maio 2024"
}