@Article{VieiraCuAlCaNeSe:2013:LaUsLa,
author = "Vieira, Rita Marcia da Silva Pinto and Cunha, Ana Paula Martins do
Amaral and Alval{\'a}, Regina C{\'e}lia dos Santos and Carvalho,
Vitor Celso and Neto, Sebasti{\~a}o Ferraz and Sestini, Marcelo
Francisco",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {} and {} and {Instituto Nacional
de Pesquisas Espaciais (INPE)}",
title = "Land use and land cover map of a semiarid region of Brazil for
meteorological and climatic models / Mapa de uso e cobertura da
terra do semi{\'a}rido do Brasil para modelos clim{\'a}ticos e
meteorol{\'o}gicos",
journal = "Revista Brasileira de Meteorologia",
year = "2013",
volume = "28",
number = "2",
pages = "129--138",
month = "June",
keywords = "mudan{\c{c}}a de uso da terra, modelos biof{\'{\i}}sicos,
sensoriamento remoto, semi{\'a}rido, land use change,
biogeophysical model, remote sensing, semiarid.",
abstract = "Atrav{\'e}s da utiliza{\c{c}}{\~a}o de imagens digitais e
t{\'e}cnicas de sensoriamento remoto, foi produzido um mapa de
uso e cobertura da terra da regi{\~a}o do semi{\'a}rido do
Brasil para aplica{\c{c}}{\~a}o em modelagem clim{\'a}tica. O
mapa apresenta a localiza{\c{c}}{\~a}o e
distribui{\c{c}}{\~a}o dos principais tipos de
vegeta{\c{c}}{\~a}o e de forma{\c{c}}{\~o}es n{\~a}o
vegetacionais da superf{\'{\i}}cie da terra para a regi{\~a}o
Nordeste do Brasil. Neste estudo foram utilizadas mapas de
vegeta{\c{c}}{\~a}o do Radambrasil e IBGE, mosaico digital de
imagens Landsat 7 ETM+ e Landsat 5 TM do per{\'{\i}}odo de
1999-2000. Para atualizar o mapa foram aplicadas t{\'e}cnicas de
segmenta{\c{c}}{\~a}o e classifica{\c{c}}{\~a}o n{\~a}o
supervisionada (ISOSEG). Foram mapeadas um total de sete classes
de uso e cobertura da terra, que foram compatibilizadas com a
legenda do modelo de superf{\'{\i}}cie Simplified Simple
Biosphere SSiB para o uso em modelos clim{\'a}ticos e
meteorol{\'o}gicos. A vegeta{\c{c}}{\~a}o nesta regi{\~a}o
{\'e} caracterizada por diversos padr{\~o}es morfol{\'o}gicos,
que dependem da localiza{\c{c}}{\~a}o geogr{\'a}fica e das
condi{\c{c}}{\~o}es clim{\'a}ticas. Os resultados obtidos pelo
mapeamento indicam um aumento consider{\'a}vel nas atividades
agr{\'{\i}}colas e nas pastagens, e consequentemente, a
redu{\c{c}}{\~a}o da vegeta{\c{c}}{\~a}o natural. Considerando
que a regi{\~a}o {\'e} suscept{\'{\i}}vel a
desertifica{\c{c}}{\~a}o, devido as suas condi{\c{c}}{\~o}es
clim{\'a}ticas e ambientais, o mapa atualizado {\'e} de extrema
import{\^a}ncia para estudos que envolvam os impactos das
mudan{\c{c}}as dos usos e cobertura da terra no clima. ABSTRACT:
An updated vegetation cover and land use map over a semiarid
region of Brazil has been produced at a 1 km spatial resolution,
using satellite data and remote sensing techniques, for
application in climate modeling. The map presents the location and
distribution of major vegetation types and non-vegetated land
surface formations for the Northeast Brazil Region, which includes
the semiarid region. In this study, Radambrasil and IBGE
vegetation maps, a digital mosaic of ETM+ Landsat 7, and TM
Landsat 5 images from the period 1999-2000 were used. To update
the map, the techniques of segmentation and unsupervised
classification (ISOSEG) were applied. A total of 7 land cover and
land use categories were mapped according to the {"} Simplified
Simple Biosphere {"} (SSiB) model legend. This map shows that
there has been a considerable increase in agricultural activities
and pasture area. The vegetation in this region is an intricate
combination of different life forms (e.g., trees and shrubs
forming a closed cover) in this region. The semiarid region of
Brazil is susceptible to desertification due to climatic and
environmental conditions. This updated map should provide
important input for regional stratification in climate studies.",
doi = "10.1590/S0102-77862013000200002",
url = "http://dx.doi.org/10.1590/S0102-77862013000200002",
issn = "0102-7786",
label = "scopus 2013-11",
language = "en",
targetfile = "v28n2a02.pdf",
urlaccessdate = "02 maio 2024"
}