@InProceedings{FigueredoNetoSousSilv:2017:AnEsTe,
author = "Figueredo Neto, Ab{\'{\i}}lio Gomes and Sousa, Carol Th{\^a}nia
Oliveira and Silva Junior, Valmir Faustino da",
title = "An{\'a}lise espa{\c{c}}o ? temporal para avalia{\c{c}}{\~a}o
das mudan{\c{c}}as na cobertura vegetal do munic{\'{\i}}pio de
Picos - Piau{\'{\i}}",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "5072--5079",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
abstract = "The great advances of geotechnologies, combined with the
development of theoretical and methodological models, are becoming
more and more indispensable when it comes to the study Earth''s
surface science. This set has a big importance to understand the
terrestrial space and its landscapes as a consequence of several
studies. By imaging the earth through satellites, is possible to
acquire information with help of sensors, collecting the energy
that comes from the object, being able to use images from the same
region at different times, and from the computational tools found
in the systems. Geographic information (GIS) is possible to
measure natural and man-made impacts and also to compare the
differences that occurred in the place through the acquired data.
Therefore the present work aims to present the changes of the
vegetation cover in the municipality of Picos-PI, using remote
sensing techniques and NDVI (Normalized Difference Vegetation
Index) vegetation index, which are extremely important to detect
changes in the city and also temporal evaluation , thus ,showing
the development of the urban space of the municipality. The
Landsat 5 and Landsat 8 satellite images were used for the 2000
and 2015 years, which served as a subsidy for that analysis, where
the techniques of digital image processing were used.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "59600",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PSM48H",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSM48H",
targetfile = "59600.pdf",
type = "Paisagens naturais",
urlaccessdate = "27 abr. 2024"
}