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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): PARREIRAS, T. C.; BOLFE, E. L.; CHAVES, M. E. D.; DEL'ARCO SANCHES, I.; 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
Prediction statistical model for soil organic carbon mapping in crop areas using the Landsat/OLI sensor. Author(s): PADILHA, M. C. C.; VICENTE, L. E.; DEMATTÊ, J. A. M.; LOEBMANN, D. G. dos S. W.; URBINA SALAZAR, D.; KOGA-VICENTE, A.; 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
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
Exploring the Harmonized Landsat Sentinel (HLS) datacube to map an agricultural landscape in the Brazilian savanna. Author(s): PARREIRAS, T. C.; BOLFE, E. L.; SANO, E. E.; VICTORIA, D. de C.; SANCHES, I. D.; VICENTE, L. E. ABSTRACT: Brazil has established itself as one of the world leaders in food production. Different types of remote sensing mapping techniques have been undertaken to support rural planning in the count... ... Repository: BDPA Publication year: 2022
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
Mapeamento da cultura da soja com imagens Landsat 5/TM utilizando algoritmos de classificação supervisionada. Author(s): GANAN, J. R.; ROCHA, J. V.; MERCANTE, E.; ANTUNES, J. F. G. O trabalho tem como objetivo mapear as áreas da soja na região Oeste do Estado do Paraná com imagens Landsat 5/TM, por meio de classificações digitais supervisionadas realizadas no software Envi 4.0,... ... Repository: BDPA Publication year: 2005
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
Floresta de precisão: determinação da evapotranspiração regional em plantio de eucalipto utilizando o algoritmo SEBAL e o sensor orbital TM-LANDSAT 5. Author(s): ANDRADE, R. G.; MENEZES, S. J. M. da C.; SEDIYAMA, G. C.; SOARES, V. P.; GLERIANI, J. M.; RIBEIRO, C. A. A. S. SEBAL - "Surface Energy Balances Algorithms for Land" - é um algoritmo o qual cria mapas de evapotranspiração para grandes áreas. O SEBAL é processado por meio de passos computacionais que calculam o... ... Repository: BDPA Publication year: 2009
Análise da correção atmosférica de imagens Landsat em estudo multitemporal na região de Mata Atlântica, Estado do Rio de Janeiro. Author(s): FADUL, M. J. do A.; FIDALGO, E. C. C.; PEDREIRA, B. da C. C. G.; PRADO, R. B. Multitemporal, remotely sensed data applied to land use land cover dynamic studies require radiometric correction of images, in addition to geometric correction. This allow the analysis of temporal va... ... Repository: BDPA Publication year: 2009

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