Repositório Digital

A- A A+

Spectral model for soybean yield estimate using MODIS/EVI data

.

Spectral model for soybean yield estimate using MODIS/EVI data

Mostrar registro completo

Estatísticas

Título Spectral model for soybean yield estimate using MODIS/EVI data
Autor Gusso, Aníbal
Ducati, Jorge Ricardo
Veronez, Maurício Roberto
Arvor, Damien
Silveira Junior, Luiz Gonzaga da
Abstract Attaining reliable and timely agricultural estimates is very important everywhere, and in Brazil, due to its characteristics, this is especially true. In this study, estimations of crop production were made based on the temporal profiles of the Enhanced Vegetation Index (EVI) obtained from Moderate Resolution Imaging Spectroradiometer (MODIS) images. The objective was to evaluate the coupled model (CM) performance of crop area and crop yield estimates based solely on MODIS/EVI as input data in Rio Grande do Sul State, which is characterized by high variability in seasonal soybean yields, due to different crop development conditions. The resulting production estimates from CM were compared to official agricultural statistics of Brazilian Institute of Geography and Statistics (IBGE) and the National Company of Food Supply (CONAB) at different levels from 2000/2001 to 2010/2011 crop years. Results obtained with CM indicate that its application is able to generate timely production estimates for soybean both at municipality and local levels. Validation estimates with CM at State level obtained R2 = 0.95. Combining all cropping years at municipality level, estimates were highly correlated to official statistics from IBGE, with R2 = 0.91 and RMSD = 10,840 tons. Spatially interpolated comparisons of yield maps obtained from the CM estimates and IBGE data also showed visual similarity in their spatial distribution. Local level comparisons were performed and presented R2 = 0.95. Implications of this work point out that time-series analysis of production estimates are able to provide anticipated spatial information prior to the soybean harvest.
Contido em International journal of geosciences. Irvine, CA. Vol. 4, n. 9 (Nov. 2013), p. 1233-1241
Assunto Imagens de satelite
Sensoriamento remoto
Soja
[en] Coupled model
[en] Forecast
[en] Remote sensing
[en] Satellite images
[en] Soy yield
Origem Estrangeiro
Tipo Artigo de periódico
URI http://hdl.handle.net/10183/89727
Arquivos Descrição Formato
000905666.pdf (3.801Mb) Texto completo Adobe PDF Visualizar/abrir

Este item está licenciado na Creative Commons License

Este item aparece na(s) seguinte(s) coleção(ões)


Mostrar registro completo

Percorrer



  • O autor é titular dos direitos autorais dos documentos disponíveis neste repositório e é vedada, nos termos da lei, a comercialização de qualquer espécie sem sua autorização prévia.
    Projeto gráfico elaborado pelo Caixola - Clube de Criação Fabico/UFRGS Powered by DSpace software, Version 1.8.1.