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| BECKER, W. R.; RICHETTI, J.; MERCANTE, E.; ESQUERDO, J. C. D. M.; SILVA JUNIOR, C. A. da; PALUDO, A.; JOHANN, J. A.. |
| Abstract. Knowledge of the agricultural calendar of crops is essential to better estimate and forecast the cultivation of large-scale crops. The aim of this study was to estimate sowing date (SD), date of maximum vegetative development (DMVD), and harvest date (HD) of soybean and corn in the state of Paraná, Brazil. Dates from 120 farms and the Enhanced Vegetation Index (EVI) from the Moderate Resolution Imaging Spectroradiometer (MODIS) from 2011 to 2014 were used into a seasonal trend analysis to obtain soybean and corn seasonal patterns. The results indicate that the majority soybean is sown during October and the DMVD occurs between the second ten-day period of December and the first ten-day period of January. Owing to the spatial variability of the... |
| Tipo: Artigo de periódico |
Palavras-chave: Índice de vegetação melhorado; Índice de Vegetação Aprimorado; Data de Colheita; Data de Semeadura; Enhanced Vegetation Index; Timesat; Soja; Milho; Vegetation index; Soybeans; Corn; Sowing date; Harvest date. |
| Ano: 2020 |
URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1126956 |
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| OLDONI, L. V.; CATTANI, C. E. V.; MERCANTE, E.; JOHANN, J. A.; ANTUNES, J. F. G.; ALMEIDA, L.. |
| ABSTRACT: In the state of Paraná, Brazil, there are no major changes in areas cultivated with annual crops, mainly due to environmental laws that do not allow expansions to new areas. There is a great contribution of the annual crops to the domestic demand of food and economic demand in the exports. Thus, the area and distribution of annual crops are information of great importance. New methodologies, such as data mining, are being tested with the objective of analyzing and improving their potential use for classification of land use and land cover. This study used the classifiers decision tree and random forest with Normalized Difference Vegetation Index (NDVI) temporal metrics on images from Operational Land Imager (OLI)/Landsat-8. The results were... |
| Tipo: Artigo de periódico |
Palavras-chave: Árvore de decisão; Métricas temporais de NDVI; Mineração de dados; Séries temporais; Decision tree; NDVI temporal metrics; Random forest; Data mining; Normalized difference vegetation index; Time series analysis. |
| Ano: 2019 |
URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1114915 |
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| CECHIM JUNIOR, C.; JOHANN, J. A.; ANTUNES, J. F. G.. |
| ABSTRACT. The knowledge on reliable estimates of areas under sugarcane cultivation is essential for the Brazilian agribusiness, since it helps in the development of public policies, in determining prices by sugar mills to producers and allows establishing the logistics of production disposal. The objective of this work was to develop a methodology for mapping the sugarcane crop area in the state of Paraná, Brazil, using images from the Landsat/TM/OLI and IRS/LISS-3 satellites, for the crop years from 2010/2011 to 2013/2014. The mappings were conducted through the supervised Maximum likelihood classification (Maxver) achieving, on average, an overall accuracy of 94.13% and kappa index of 0.82. The correlation with the official data of the IBGE ranged from... |
| Tipo: Artigo de periódico |
Palavras-chave: Processamento de imagem digital; Classificação supervisionada; Digital image processing; Supervised classification; Maxver; Cana de açúcar; Sensoriamento remoto; Estatística agrícola; Sugarcane; Remote sensing; Image analysis; Agricultural statistics. |
| Ano: 2017 |
URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1069839 |
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| CECHIM JÚNIOR, C.; JOHANN, J. A.; ANTUNES, J. F. G.; DEPPE, F.. |
| Abstract Sugarcane cultivated in Brazil deserves attention because it makes the Country the world's largest producer of sugar and ethanol. The aim of this work was to develop and evaluate a methodology for sugarcane mapping in Paraná State, Brazil using temporal series of the MODIS EVI, for 2010/2011 to 2013/2014 crop seasons. The methodology included supervised classification Fuzzy ARTMAP, taking as input variables such as terms of harmonics amplitude and phase, and phenological metrics of culture. Area estimates indicated a moderate and strong correlation (rs), ranging from 0.62 to 0.71 comparing with IBGE official data and from 0.79 to 0.87 with the Canasat data. To assess mapping accuracy, Canasat vector maps were used as reference to build the... |
| Tipo: Artigo de periódico |
Palavras-chave: Índice de vegetação; Mapeamento de cana-de-açúcar; Annual agriculture; Timeseries; Cana de Açúcar; Agricultura; Sensoriamento Remoto; Agriculture; Sugarcane; Time series analysis; Vegetation index; Remote sensing. |
| Ano: 2020 |
URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1123618 |
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| LAMPARELLI, R. A. C.; JOHANN, J. A.; SANTOS, É. R. dos; ESQUERDO, J. C. D. M.; ROCHA, J. V.. |
| This study aimed at identifying different conditions of coffee plants after harvesting period, using data mining and spectral behavior profiles from Hyperion/EO1 sensor. The Hyperion image, with spatial resolution of 30 m, was acquired in August 28th, 2008, at the end of the coffee harvest season in the studied area. For pre-processing imaging, atmospheric and signal/noise effect corrections were carried out using Flaash and MNF (Minimum Noise Fraction Transform) algorithms, respectively. Spectral behavior profiles (38) of different coffee varieties were generated from 150 Hyperion bands. The spectral behavior profiles were analyzed by Expectation-Maximization (EM) algorithm considering 2; 3; 4 and 5 clusters. T-test with 5% of significance was used to... |
| Tipo: Artigo de periódico |
Palavras-chave: Data mining; Mineração de dados; Monitoramento de cultura; Comportamento espectral.; Manejo; Sensoriamento Remoto.; Crop management; Remote sensing. |
| Ano: 2012 |
URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/924115 |
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