Use este identificador para citar ou linkar para este item: http://repositorio.ufla.br/jspui/handle/1/41589
Título: Thresholds definition in MOD13Q1 and VGT-S10 time series for coffee crop area estimation in Triângulo Mineiro/Alto Paranaíba
Palavras-chave: Remote sensing
Multisensor
Vegetation indices
Landscape
Agriculture
Sensoriamento remoto
Índices de vegetação
Cafeeiro
Data do documento: 2019
Editor: Universidade Federal de Lavras
Citação: CHAVES, M. E. D.; FERREIRA, E.; DANTAS, A. A. A. Thresholds definition in MOD13Q1 and VGT-S10 time series for coffee crop area estimation in Triângulo Mineiro/Alto Paranaíba. Theoretical and Applied Engineering, Lavras, v. 3, n. 2, 2019. DOI: https://doi.org/10.31422/taae.v3i2.15.
Resumo: In the last decades, remote sensing application in agricultural research has intensified to evaluate phenological cycles. Vegetation indices time series have been used to obtain information about the seasonal development of agricultural vegetation on a large scale. The multitemporal approach increases the gain of information coming from orbital images, an important factor for analysis of its spatial distribution. The objective of this study was to test the application of vegetation indices of the MODIS and SPOT-VEGETATION sensors to estimate the areas destined for coffee crops in the Triângulo Mineiro/Alto Paranaíba mesoregion. The results show that the vegetation indices NDVI and EVI of the product MOD13Q1 were more adequate for the estimation of land use over the time domain, especially NDVI. The best minimum threshold varies between 0.39 - 0.42 and the best maximum threshold varies between 0.71 - 0.74. The contribution of this work is that these thresholds can serve as subsidies for land use classification studies on a regional scale and for estimating areas for planting.
URI: http://www.taaeufla.deg.ufla.br/index.php/TAAE/article/view/15
http://repositorio.ufla.br/jspui/handle/1/41589
Aparece nas coleções:DEA - Artigos publicados em periódicos
DEG - Artigos publicados em periódicos

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