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Land-cover classification in the Brazilian Amazon with the integration of Landsat ETM + and Radarsat data. Author(s): LU, D.; BATISTELLA, M.; MORAN, E. Land-cover classification with remotely sensed data in moist tropical regions in a challenge due to the complex biophysical conditions. This paper explores techniques to improve land-cover classificat... ... Repository: BDPA Publication year: 2007
Hierarchical classification of soybean in the Brazilian Savanna based on Harmonized Landsat Sentinel data. Author(s): BOLFE, E. L.; SANO, E. E.; VICTORIA, D. de C.; BETTIOL, G. M.; VICENTE, L. E. Abstract. The Brazilian Savanna presents a complex agricultural dynamic and cloud cover issues; therefore, there is a need for new strategies for more detailed agricultural monitoring. Using a hierarc... ... Repository: BDPA Publication year: 2022
Landsat-based above ground biomass estimation in pasture area in São Paulo, Brazil. Author(s): SILVA, G. B. S. da; TEIXEIRA, A. H. de C.; NOGUEIRA, S. F.; VICTORIA, D. de C.; LEIVAS, J. F.; HERLIN, V. R. Brazilian Cerrado biome occupies 2,039,243 km², of which 29.5% (600,832 km2) is planted pasture area (MMA, 2015). A considerable portion of these pastures are considered degraded, thus identification... ... Repository: BDPA Publication year: 2016
Using Landsat 8 image time series for crop mapping in a region of Cerrado, Brazil. Author(s): LUIZ, A. J. B. Abstract: The objective of this research is to classify agricultural land use in a region of the Cerrado (Brazilian Savanna) biome using a time series of Enhanced Vegetation Index (EVI) from Landsat 8... ... Repository: BDPA Publication year: 2016
A comparative study of landsat TM and SPOT HRG images of vegetation classification in the brazilian Amazon. Author(s): LU, D.; BATISTELLA, M.; MIRANDA, E. E. de Complex forest structure and abundant tree species in the moist tropical regions often couse difficulties in classifying vegetation classes with remotely sensed data. This paper explores improvement i... ... Repository: BDPA Publication year: 2008
Prediction statistical model for soil organic carbon mapping in crop areas using the Landsat/OLI sensor. Author(s): VICENTE, L. E.; LOEBMANN, D. G. dos S. W.; ARAUJO, L. S. de; MANZATTO, C. V. Abstract: The quantification of soil organic carbon (SOC) is essential to agriculture and sustainable use of the land. However, there are difficulties to estimate it in large areas due to high cost of... ... Repository: BDPA Publication year: 2019
Potencial de aplicação do algoritmo Spectral Angle Mapper (SAM) em imagens Landsat para discriminação de áreas de seringueira. Author(s): ARAUJO, L. S. de; LOEBMANN, D. G. dos S. W.; VICENTE, L. E. O objetivo deste trabalho foi avaliar o potencial de aplicação do algoritmo Spectral Angle Mapper (SAM) em imagens OLI/Landsat para a discriminação de áreas de seringueira na região noroeste do Estado... ... Repository: BDPA Publication year: 2015
Mapping agricultural intensification in the Brazilian savanna: a machine learning approach using harmonized data from Landsat Sentinel-2. Author(s): BOLFE, E. L.; PARREIRAS, T. C.; SILVA, L. A. P. da; SANO, E. E.; BETTIOL, G. M.; VICTORIA, D. de C.; DEL'ARCO SANCHES, I.; VICENTE, L. E. Agricultural intensification practices have been adopted in the Brazilian savanna (Cerrado), mainly in the transition between Cerrado and the Amazon Forest, to increase productivity while reducing pre... ... Repository: BDPA Publication year: 2023
Mapping Fractional Cropland Distribution in Mato Grosso, Brazil Using Time Series MODIS Enhanced Vegetation Index and Landsat Thematic Mapper Data. Author(s): ZHU, C.; LU, D.; VICTORIA, D. de C.; DUTRA, L. V. Mapping cropland distribution over large areas has attracted great attention in recent years, however, traditional pixel-based classification approaches produce high uncertainty in cropland area stati... ... Repository: BDPA Publication year: 2016
Detecção da exploração madeireira a partir de imagens Landsat e dados LiDAR no Sudoeste da Amazônia. Author(s): PANTOJA, N. V.; OLIVEIRA, M. V. N. d'; HIGUCHI, N. Structural changes on forest canopy produced by selective logging can be identified through satellite images, which shows the location and extent of these areas. The aim of this study was to analyze t... ... Repository: BDPA Publication year: 2017

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