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| GREGO, C. R.; SPERANZA, E. A.; RODRIGUES, C. A. G.; NOGUEIRA, S. F.; SILVA, G. B. S. da; CIFERRI, R. R.; LUCHIARI JUNIOR, A.. |
| RESUMO. O uso de imagens de satélite gratuitas e de média resolução temporal tem grande aplicação na agricultura de precisão. Este estudo avaliou a evolução de mapas de Índice de Vegetação por Diferença Normalizada (NDVI) obtidos de imagens orbitais do satélite Sentinel-2A, analisados quanto a variabilidade espacial, para auxiliar na identificação de diferentes zonas de manejo para a cana-de-açúcar. Para tanto, uma área de cana-de-açúcar, em Mogi Mirim ( SP), foi analisada durante os anos de 2016 e 2017 utilizando a geoestatística para o zoneamento. Imagens do satélite Sentinel-2A de seis datas foram obtidas e analisadas quanto à variabilidade espacial do NDVI. Houve dependência espacial dos índices de vegetação em todas as datas das imagens obtidas. Os... |
| Tipo: Anais e Proceedings de eventos |
Palavras-chave: Índice de Vegetação por Diferença Normalizada; Geoestatística; Imagem de satélite; Satellite image; Agricultura de Precisão; Cana de Açúcar; Saccharum Officinarum; Sugarcane; Geostatistics; Precision agriculture. |
| Ano: 2019 |
URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1108752 |
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| You, Liangzhi; Wood, Stanley; Wood-Sichra, Ulrike. |
| In order to evaluate food security, technology potential and the environmental impacts of production in a strategic and regional context, it is critical to have reliable information on the spatial distribution and coincidence of people, agricultural production, and environmental services. This paper proposes a spatial allocation model for generating highly disaggregated, crop-specific production data by a triangulation of any and all relevant background and partial information. This includes national or sub-national crop production statistics, satellite data on land cover, maps of irrigated areas, biophysical crop suitability assessments, population density, secondary data on irrigation and rainfed production systems, cropping intensity, and crop prices.... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Global; Cross entropy; Satellite image; Spatial allocation; Agricultural production; Crop suitability; Crop Production/Industries; C6; Q15; Q24. |
| Ano: 2006 |
URL: http://purl.umn.edu/25737 |
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| Palmer, Stephanie C. J.; Gernez, Pierre M.; Thomas, Yoann; Simis, Stefan; Miller, Peter I.; Glize, Philippe; Barillé, Laurent. |
| Aquaculture increasingly contributes to global seafood production, requiring new farm sites for continued growth. In France, oyster cultivation has conventionally taken place in the intertidal zone, where there is little or no further room for expansion. Despite interest in moving production further offshore, more information is needed regarding the biological potential for offshore oyster growth, including its spatial and temporal variability. This study shows the use of remotely-sensed chlorophyll-a and total suspended matter concentrations retrieved from the Medium Resolution Imaging Spectrometer (MERIS), and sea surface temperature from the Advanced Very High Resolution Radiometer (AVHRR), all validated using in situ matchup measurements, as input to... |
| Tipo: Text |
Palavras-chave: Satellite image; Time series; Bivalve; Dynamic energy budget; Growth modeling; MERIS; AVHRR; Marine spatial planning. |
| Ano: 2020 |
URL: https://archimer.ifremer.fr/doc/00605/71722/70185.pdf |
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| SANCHES, I. D.; LUIZ, A. J. B.; MONTIBELLER, B.; SCHULTZ, B.; TRABAQUINI, K.; EBERHARDT, D. S.; FORMAGGIO, A. R.; MAURANO, L. E. P.. |
| Abstract: The agricultural activity can greatly benefit from remote sensing technology (RS). Optical passive RS has been vastly explored for agricultural mapping and monitoring, in despite of cloud cover issue. This is observed even in the tropics, where frequency of clouds is very high. However, more studies are needed to better understand the high dynamism of tropical agriculture and its impact on the use of passive RS. In tropical countries, such as in Brazil, the use of current agricultural technologies, associated with favourable climate, allow the planting period to be wide and to have plants of varying phenological cycles. In this context, the main objective of the current study is to better understand the dynamics of a selected area in Southeast of... |
| Tipo: Artigo de periódico |
Palavras-chave: Satellite image; Optical sensor; Multispectral; RGB false composition; NDVI; Sensoriamento Remoto; Satélite; Agricultura; Satellites; Image analysis; Image interpretation; Tropical agriculture; Monitoring. |
| Ano: 2019 |
URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1116250 |
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