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3DMCAP documentation: release 1.0. Author(s): SANTOS, T. T. This document is the user manual of a tool, 3DMCAP, developed by our Automation Group for photogrammetry using a single camera and a notebook computer. Our staff was able to use it to recover the thre... ... Repository: BDPA Publication year: 2018
Estimation of aboveground biomass stock in tropical savannas using photogrammetric imaging. Author(s): QUEIROZ, R. F. P.; OLIVEIRA, M. V. N. d'; REZENDE, A. V.; ALENCAR, P. A. L. de The use of photogrammetry technology for aboveground biomass (AGB) stock estimation in tropical savannas is a challenging task and is still at a preliminary stage. This work aimed to use metrics deriv... ... Repository: BDPA Publication year: 2023
Planos de voo semiautônomos para fotogrametria com aeronaves remotamente pilotadas de classe 3. Author(s): FIGUEIREDO, E. O.; FIGUEIREDO, S. M. de M. Este trabalho descreve planos de voo semiautônomos para fotogrametria com aeronaves remotamente pilotadas de classe 3. Repository: BDPA Publication year: 2018
Geolocalização de árvores a partir de informações obtidas com aeronaves remotamente pilotada (RPA), classe III. Author(s): SILVA, A. de S.; FIGUEIREDO, E. O.; OLIVEIRA, M. V. N. d'; FIGUEIREDO, S. M. de M. O uso de Aeronaves Remotamente Pilotadas - RPAs (classe 3) para realização de inventários florestais, surge como uma alternativa relativamente barata e de grande flexibilidade de uso. O objetivo desse... ... Repository: BDPA Publication year: 2018
Inventário florestal de palmáceas na Amazônia com o emprego de Aeronave Remotamente Pilotada (RPA). Author(s): FIGUEIREDO, E. O.; FIGUEIREDO, S. M. de M.; OLIVEIRA, M. V. N. d' As aeronaves remotamente pilotadas (RPA), também conhecidas como "drones", apresentam uma forte expansão de uso nas engenharias, principalmente com a popularização das aeronaves classe III, cujo peso... ... Repository: BDPA Publication year: 2018
Optimum combination of spectral variables for crop mapping in heterogeneous landscapes based on Sentinel-2 time series and machine learning. Author(s): OLIVEIRA JÚNIOR, J. G. de; ESQUERDO, J. C. D. M.; LAMPARELLI, R. A. C. This article aimed to determine a workflow for more efficient large-scale crop mapping using a time series of images from the Sentinel-2 Satellite, statistical methods of attribute selection, and mach... ... Repository: BDPA Publication year: 2024
Lessonia-1 SAR time-series for identifying flooded áreas. Author(s): LIMA, S. A.; COSTA, F. A. L.; BIAS, E. S.; SANO, E. E. The catastrophic floods that hit Rio Grande do Sul, Brazil, in May 2024 underscored the urgent necessity for sophisticated flood monitoring and management methods. Notably, Synthetic Aperture Radar (S... ... Repository: BDPA Publication year: 2024
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
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
Geotechnologies for the characterization of specialty coffee environments of Mantiqueira de Minas in Brazil. Author(s): ALVES, H. M. R.; VIEIRA, T. G. C.; VOLPATO, M. M. L.; LACERDA, M. P. C.; BORÉM, F. M. Land-use/land-cover change (LUCC) is a major cause of environmental transformation. Distant drivers, often associated with emerging markets for specific products, are now being considered one of the m... ... Repository: BDPA Publication year: 2016

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