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Near-real time deforestation detection in the Brazilian Amazon with Sentinel-1 and neural networks. Author(s): SILVA, C. A.; GUERRISI, G.; DEL FRATE, F.; SANO, E. E. Optical-based near-real time deforestation alert systems in the Brazilian Amazon are ineffective in the rainy season. This study identify clear-cut deforested areas through Neural Network (NN) algorit... ... Repository: BDPA Publication year: 2022
Mapping Secondary Vegetation of a Region of Deforestation Hotspot in the Brazilian Amazon: Performance Analysis of C- and L-Band SAR Data Acquired in the Rainy Season. Author(s): KIYOHARA, B. H.; SANO, E. E. Abstract: The re-suppression of secondary vegetation (SV) in the Brazilian Amazon for agriculture or land speculation occurs mostly in the rainy season. The use of optical images to monitor such re-su... ... Repository: BDPA Publication year: 2022
Effects of the different precipitation levels on SAR data. Author(s): TORO, A. P. S. G. D.; CAPUCCI, G.; WERNER, J. P. S.; BUENO, I. T.; ESQUERDO, J. C. D. M.; ANTUNES, J. F. G.; COUTINHO, A. C.; LAMPARELLI, R. A. C.; MAGALHÃES, P. S. G.; OLIVEIRA JÚNIOR, J. G.; FIGUEIREDO, G. K. D. A. The present work aimed to identify the impacts of precipitation on the backscattering coefficient from Sentinel-1, in areas with agricultural landscape. Repository: BDPA Publication year: 2023
SAR and optical data applied to early-season mapping of integrated crop-livestock systems using deep and machine learning algorithms. Author(s): TORO, A. P. S. G. D. D.; BUENO, I. T.; WERNER, J. P. S.; ANTUNES, J. F. G.; LAMPARELLI, R. A. C.; COUTINHO, A. C.; ESQUERDO, J. C. D. M.; MAGALHÃES, P. S. G.; FIGUEIREDO, G. K. D. A. In this work, we explored the potential of three machine and deep learning algorithms (random forest, long short-term memory, and transformer) to perform early-season (with three-time windows) mapping... ... Repository: BDPA Publication year: 2023
Lem benchmark database for tropical agricultural remote sensing application. Author(s): SANCHES, I. D.; FEITOSA, R. Q.; ACHANCCARAY, P.; MONTIBELLER, B.; LUIZ, A. J. B.; SOARES, M. D.; PRUDENTE, V. H. R.; VIEIRA, D. C.; MAURANO, L. E. P. Abstract: The monitoring of agricultural activities at a regular basis is crucial to assure that the food production meets the world population demands, which is increasing yearly. Such information ca... ... Repository: BDPA Publication year: 2018
Construção de um mapa híbrido de uso e cobertura do solo na região das bacias de Rio Verde e Marcelino, MA. Author(s): SILVA, A. B. F. DA; SILVEIRA, H. L. F. da Resumo: Este trabalho teve como objetivo criar um mapa híbrido para calcular o estoque de carbono de acordo com o uso e cobertura do solo de ocupações diversas. A área de estudo compreende as bacias d... ... Repository: BDPA Publication year: 2024
Multisensor approach to land use and land cover mapping in Brazilian Amazon. Author(s): PRUDENTE, V. H. R.; SKAKUN, S.; OLDONI, L. V.; XAUD, H. A. M.; XAUD, M. R.; ADAMI, M.; SANCHES, I. D. A. Remote sensing has an important role in the Land Use and Land Cover (LULC) mapping process worldwide. Combining spaceborne optical and microwave data is essential for accurate classification in areas... ... Repository: BDPA Publication year: 2022
Integrating GIS and remote sensing for soil attributes mapping in degraded pastures of the Brazilian Cerrado. Author(s): LOUZADA, R. O.; BERGIER, I.; BOLFE, E. L.; BARBEDO, J. G. A. Abstract: Remote sensing is a crucial tool for soil assessment, yet soil complexity and sensor limitations hinder accurate analysis. This study integrates active and passive remote sensing data with M... ... Repository: BDPA Publication year: 2025
Agricultura irrigada por pivôs centrais no Brasil em 2024. Author(s): GUIMARAES, D. P.; LANDAU, E. C. RESUMO - A alta demanda global por alimentos, fibra e energia causa impactos ambientais e contribui para as mudanças climáticas. O uso da irrigação permite expressivos aumentos de produtividade e redu... ... Repository: BDPA Publication year: 2024

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