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Akademický článek

Optimum Combination of Spectral Variables for Crop Mapping in Heterogeneous Landscapes based on Sentinel-2 Time Series and Machine Learning

Autor: J. G. de Oliveira Júnior, J. C. D. M. Esquerdo, R. A. C. Lamparelli

Publikováno v: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol X-3-2024, Pp 85-92 (2024)

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 machine learning. The proposed methodology explores th

Externí odkaz: https://doaj.org/article/0c044b74f5b346aa8bcdaafbd3bc8039

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Akademický článek

LAND USE/LAND COVER CLASSIFICATION IN A HETEROGENEOUS AGRICULTURAL LANDSCAPE USING PLANETSCOPE DATA

Autor: I. T. Bueno, J. F. G. Antunes, A. P. S. G. D. D. Toro, J. P. S. Werner, A. C. Coutinho, G. K. D. A. Figueiredo, R. A. C. Lamparelli, J. C. D. M. Esquerdo, P. S. G. Magalhães

Publikováno v: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-M-1-2023, Pp 49-55 (2023)

Land use and land cover (LULC) classification has long been an essential topic in Earth Observation research and plays a key role in the sustainable development of agriculture. This study evaluated the accuracy of LULC classification based on an init

Externí odkaz: https://doaj.org/article/b14fe8db5b8940da8bb05652365bd943

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Akademický článek

MULTITEMPORAL SEGMENTATION OF SENTINEL-2 IMAGES IN AN AGRICULTURAL INTENSIFICATION REGION IN BRAZIL

Autor: L. T. Dos Santos, J. P. S. Werner, A. A. Dos Reis, A. P. G. Toro, J. F. G. Antunes, A. C. Coutinho, R. A. C. Lamparelli, P. S. G. Magalhães, J. C. D. M. Esquerdo, G. K. D. A. Figueiredo

Publikováno v: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-3-2022, Pp 389-395 (2022)

With the recent evolution in the sensor's spatial resolution, such as the MultiSpectral Imager (MSI) of the Sentinel-2 mission, the need to use segmentation techniques in satellite images has increased. Although the advantages of image segmentation t

Externí odkaz: https://doaj.org/article/ac7de4b3ad7341ca8bb8648618fb5145

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Akademický článek

EVALUATION OF EARLY SEASON MAPPING OF INTEGRATED CROP LIVESTOCK SYSTEMS USING SENTINEL-2 DATA

Autor: A. P. S. G. D. Toro, J. P. S. Werner, A. A. Dos Reis, J. C. D. M. Esquerdo, J. F. G. Antunes, A. C. Coutinho, R. A. C. Lamparelli, P. S. G. Magalhães, G. K. D. A. Figueiredo

Publikováno v: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B3-2022, Pp 1335-1340 (2022)

Various approaches were developed considering the need to increase agricultural productivity in cultivated areas without more deforestation, such as the Integrated Crop livestock systems (ICLS). The ICLS could be composed of annual crops followed by

Externí odkaz: https://doaj.org/article/b8424fa79dd34dfa99fc550869b4e8e4

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Akademický článek

EXPLORING THE POTENTIAL OF HIGH-RESOLUTION PLANETSCOPE IMAGERY FOR PASTURE BIOMASS ESTIMATION IN AN INTEGRATED CROP–LIVESTOCK SYSTEM

Autor: A. A. Dos Reis, B. C. Silva, J. P. S. Werner, Y. F. Silva, J. V. Rocha, G. K. D. A. Figueiredo, J. F. G. Antunes, J. C. D. M. Esquerdo, A. C. Coutinho, R. A. C. Lamparelli, P. S. G. Magalhães

Publikováno v: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-3-W12-2020, Pp 419-424 (2020)

Pasture biomass information is essential to monitor forage resources in grazed areas, as well as to support grazing management decisions. The increasing temporal and spatial resolutions offered by the new generation of orbital platforms, such as Plan

Externí odkaz: https://doaj.org/article/7645304f6212468e82dca09b6ce2bd0a

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