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RapidEye object-based image classification and landscape ecology analysis to support the geospatial component of the Brazilian National Forest Inventory. Author(s): LUZ, N.; OLIVEIRA, Y. M. M. de; ROSOT, M. A. D.; GARRASTAZU, M. C.; MATTOS, P. P. de; FRANCISCON, L.; FREITAS, J.; PIOTTO, D.; GOMIDE, D.; SOUZA, G. Repository: BDPA Publication year: 2014
Data mining and object based image analysis applied to soybean areas classification through time-series TM/ETM+ images. Author(s): SCHULTZ, B.; BERTANI, G.; FORMAGGIO, A. R.; EBERHARDT, D. S.; LUIZ, A. J. B.; ATZBERGER, C. Repository: BDPA Publication year: 2014
Developments in forest monitoring under the Brazilian National Forest Inventory: multi-source and hybrid image classification approaches. Author(s): LUZ, N. B. da; OLIVEIRA, Y. M. M. de; ROSOT, M. A. D.; GARRASTAZU, M. C.; MESQUITA JÚNIOR, H. N. de; FREITAS, J. V. de; COSTA, C. R. da Information on forest and tree resources as well as land use and land cover (LULC) maps are a growing demand which Brazilian National Forest Inventory (NFI-BR) is designed to meet through field and re... ... Repository: BDPA Publication year: 2015
Classificação híbrida de imagens Landsat-8 e RapidEye para o mapeamento do uso e cobertura da terra nas Unidades Amostrais de Paisagem do Inventário Florestal Nacional do Brasil. Author(s): LUZ, N. B. da; OLIVEIRA, Y. M. M. de; ROSOT, M. A. D.; GARRASTAZU, M. C.; FRANCISCON, L.; MESQUITA JÚNIOR, H. N. de; FREITAS, J. V. de In response to the growing demand for reliable information on forest and tree resources as well as for land use/land cover (LULC) maps at larger scales, the Brazilian National Forest Inventory (NFI-BR... ... Repository: BDPA Publication year: 2015
Land use/land cover classification and scale effect analysis for a multi-temporal superpixel-based segmentation using PlanetScope data. Author(s): BUENO, I. T.; ANTUNES, J. F. G.; TORO, A. P. S. G. D.; WERNER, J. P. S.; LAMPARELLI, R. A. C.; COUTINHO, A. C.; FIGUEIREDO, G. K. D. A.; ESQUERDO, J. C. D. M.; MAGALHÃES, P. S. G. This study evaluated the accuracy and suitability of LULC classifications based on the scale effect of a multi-temporal superpixel-based segmentation using PlanetScope (PS) data. Repository: BDPA Publication year: 2023
Mapeamento de açaizais nativos com uso de drone na comunidade Arraiol do Bailique, AP, Brasil. Author(s): NUNES, J. C. G.; EULER, A. M. C.; FREITAS, T. P. M. de O objetivo da pesquisa foi realizar o mapeamento de açaizais nativos em uma comunidade produtora de açaí do território do Bailique e levantar informações sobre a sua distribuição espacial a partir de... ... Repository: BDPA Publication year: 2022
A segmentation approach to delineate zones for differential nitrogen intervention. Author(s): OLIVEIRA, R. P. de; WHELAN, B.; MCBRATNEY, A. Multi-source and -temporal data integration is expected to support the delineation of within-field management zones that may better conform to unique combinations of crop yield variations. This work a... ... Repository: BDPA Publication year: 2013
Dados de sensoriamento remoto na análise do uso e cobertura da terra do município de Caconde (SP). Author(s): LEANDRO, V. B. S.; SILVA, G. B. S. da; BOLFE, E. L. O objetivo deste trabalho é elaborar um mapa do uso e ocupação da terra do município de Caconde, localizado no estado de São Paulo, por meio da técnica de classificação orientada a objeto. A classific... ... Repository: BDPA Publication year: 2023
Land use/land cover classification in a heterogeneous agricultural landscape using PlanetScope data. Author(s): BUENO, I. T.; ANTUNES, J. F. G.; TORO, A. P. S. G. D.; WERNER, J. P. S.; COUTINHO, A. C.; FIGUEIREDO, G. K. D. A.; LAMPARELLI, R. A. C.; ESQUERDO, J. C. D. M.; MAGALHÃES, P. S. G. This study evaluated the accuracy of LULC classification based on an initial clustering step in a heterogeneous agricultural landscape using PlanetScope imagery while checking for variability among th... ... Repository: BDPA Publication year: 2023
Prediction of cattle density and location at the frontier of Brazil and Paraguay using remote sensing. Author(s): AMARAL, T. B.; GOND, V.; TRAN, A. Repository: BDPA Publication year: 2014

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