@Article{GrecchiGwynBéniForm:2013:AsSpRa,
author = "Grecchi, Rosana Cristina and Gwyn, Q. H. J. and B{\'e}ni{\'e},
Goze Bertin and Formaggio, Ant{\^o}nio Roberto",
affiliation = "Centre d'Applications et de Recherche en
T{\'e}l{\'e}d{\'e}tection (CARTEL), Universit{\'e} de
Sherbrooke, Sherbrooke, Canada and Centre d'Applications et de
Recherche en T{\'e}l{\'e}d{\'e}tection (CARTEL),
Universit{\'e} de Sherbrooke, Sherbrooke, Canada and Centre
d'Applications et de Recherche en T{\'e}l{\'e}d{\'e}tection
(CARTEL), Universit{\'e} de Sherbrooke, Sherbrooke, Canada and
Brazilian National Institute for Space Research (INPE), Av. dos
Astronautas, S{\~a}o Jos{\'e} dos Campos, SP, Brazil",
title = "Assessing the spatio-temporal rates and patterns of land-use and
land-cover changes in the Cerrados of southeastern Mato Grosso,
Brazil",
journal = "International Journal of Remote Sensing",
year = "2013",
volume = "34",
number = "15",
pages = "5369--5392",
keywords = "MATO Grosso (Brazil : State), SPATIO-temporal variation, CERRADOS,
AGRICULTURAL productivity, MODIS (Spectroradiometer), DIGITAL
elevation models, LAND cover, LAND use.",
abstract = "The Cerrados of central Brazil have undergone profound landscape
transformation in recent decades due to agricultural expansion,
and this remains poorly assessed. The present research
investigates the spatial-temporal rates and patterns of land-use
and land-cover (LULC) changes in one of the main areas of
agricultural production in Mato Grosso State (Brazil), the region
of Primavera do Leste. To quantify the different aspects of LULC
changes (e.g. rates, types, and spatial patterns) in this region,
we applied a post-classification change detection method,
complemented with landscape metrics, for three dates (1985, 1995,
and 2005). LULC maps were obtained from an object-based
classification approach, using the nearest neighbour (NN)
classifier and a multi-source data set for image object
classification (e.g. seasonal Thematic Mapper (TM) bands, digital
elevation model (DEM), and a Moderate Resolution Imaging
Spectroradiometer (MODIS)-derived index), strategically chosen to
increase class separability. The results provided an improved
mapping of the Cerrados natural vegetation conversion into crops
and pasture once auxiliary data were incorporated into the
classification data set. Moreover, image segmentation was crucial
for LULC map quality, in particular because of crop size and
shape. The changes detected point towards increasing loss and
fragmentation of natural vegetation and high rates of crop
expansion. Between 1985 and 2005, approximately 42% (6491 km2) of
Cerrados in the study area were converted to agricultural land
uses. In addition, it was verified that cultivated areas are
encroaching into fragile environments such as wetlands, which
indicates the intense pressure of agricultural expansion on the
environment.",
doi = "10.1080/01431161.2013.788798",
url = "http://dx.doi.org/10.1080/01431161.2013.788798",
issn = "0143-1161",
label = "scopus",
language = "en",
urlaccessdate = "13 maio 2024"
}