Understanding spatial patterns of land use and land cover is essential for studies addressing biodiversity, climate change and environmental modeling as well as for the design and monitoring of land use policies. The aim of this study was to create a detailed map of land use land cover of the deforested areas of the Brazilian Legal Amazon up to 2008. Deforestation data from and uses were mapped with Landsat-5/TM images analysed with techniques, such as linear spectral mixture model, threshold slicing and visual interpretation, aided by temporal information extracted from NDVI MODIS time series. The result is a high spatial resolution of land use and land cover map of the entire Brazilian Legal Amazon for the year 2008 and corresponding calc...
Forests have been increasingly degraded by man. Therefore, in this context, arises the need to asses...
The main purpose of this paper is to present a semi-automated procedure for monitoring land cover ch...
This dataset was prepared for use in MODIS NDVI-based land cover classification for Mato Grosso, Bra...
Entender o padrão espacial do uso e cobertura da terra é essencial para estudos de biodiversidade, m...
Understanding spatial patterns of land use and land cover is essential for studies addressing biodiv...
ABSTRACT Understanding spatial patterns of land use and land cover is essential for studies addressi...
Assessing the dynamics of land use is important in providing quantified estimates of the extent of e...
To evaluate the role played by the spatial resolution in distinguishing land cover classes in the Am...
This dataset contains the yearly maps of land use and land cover classification for Amazon biome, Br...
These data sets include yearly maps of land cover classification for the state of Mato Grosso, Brazi...
The potential impact of deforestation in the Brazilian Amazon on greenhouse gas emissions to the atm...
Secondary forests accounted for over one-third (266.000 km2) of the total deforested area in the Leg...
Large scale agriculture and extensive cattle ranging are the main drivers of deforestation within th...
O objetivo da pesquisa foi verificar a aplicabilidade do uso de séries temporais de imagens de moder...
This dataset is composed by 85,152 random points throughout the Brazilian territory selected accordi...
Forests have been increasingly degraded by man. Therefore, in this context, arises the need to asses...
The main purpose of this paper is to present a semi-automated procedure for monitoring land cover ch...
This dataset was prepared for use in MODIS NDVI-based land cover classification for Mato Grosso, Bra...
Entender o padrão espacial do uso e cobertura da terra é essencial para estudos de biodiversidade, m...
Understanding spatial patterns of land use and land cover is essential for studies addressing biodiv...
ABSTRACT Understanding spatial patterns of land use and land cover is essential for studies addressi...
Assessing the dynamics of land use is important in providing quantified estimates of the extent of e...
To evaluate the role played by the spatial resolution in distinguishing land cover classes in the Am...
This dataset contains the yearly maps of land use and land cover classification for Amazon biome, Br...
These data sets include yearly maps of land cover classification for the state of Mato Grosso, Brazi...
The potential impact of deforestation in the Brazilian Amazon on greenhouse gas emissions to the atm...
Secondary forests accounted for over one-third (266.000 km2) of the total deforested area in the Leg...
Large scale agriculture and extensive cattle ranging are the main drivers of deforestation within th...
O objetivo da pesquisa foi verificar a aplicabilidade do uso de séries temporais de imagens de moder...
This dataset is composed by 85,152 random points throughout the Brazilian territory selected accordi...
Forests have been increasingly degraded by man. Therefore, in this context, arises the need to asses...
The main purpose of this paper is to present a semi-automated procedure for monitoring land cover ch...
This dataset was prepared for use in MODIS NDVI-based land cover classification for Mato Grosso, Bra...