Analysis of the vegetation phenology from the Alto Paraguai basin throught the representation of harmonic cycles of EVI/MODIS time-series

Autor: ANTUNES, J. F. G., ESQUERDO, J. C. D. M., LAMPARELLI, R. A. C., RODRIGUES, L. H. A.
Přispěvatelé: JOÃO FRANCISCO GONÇALVES ANTUNES, CNPTIA, JÚLIO CÉSAR DALLA MORA ESQUERDO, CNPTIA, RUBENS AUGUSTO CAMARGO LAMPARELLI, Nipe/Unicamp, LUIZ HENRIQUE ANTUNES RODRIGUES, Feagri/Unicamp.
Jazyk: angličtina
Rok vydání: 2013
Předmět:
Zdroj: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA-Alice)
Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
Popis: The Alto Paraguai Basin (BAP) is of strategic importance for Brazil, due to its ecological diversity of landscape, especially because it includes the Pantanal floodplain. The harmonic analysis can be used in remote sensing time-series data to study the cyclic behavior of vegetation indices. The visual representation of harmonic terms can hel image interpretation through the combination of colors in the HLS (Hue, Lightness, Saturation) space which provides a soft visual transition effect between the cycles. The objective of this study was to analyze the vegetation phenology of the BAP using the harmonic analysis applied to an EVI (Enhanced Vegetation Index) time-series data from MODIS (Moderate Resolution Imaging Spectroradiometer) during 10 hydrologic years from October 2001 to September 2011, considering the HLS representation of the harmonic terms. The results show that the vegetation phenology of BAP presents spatial patterns coherent with the vegetation development and consistent with the variability of the seasonal inundations in Pantanal, which determines the hydrologic conditions of the region, directly affecting the moment of maximum EVI. The HLs representation of harmonic terms indicates that it is an effective tool for the visual interpretation of vegetation cycles. Made available in DSpace on 2017-12-19T23:20:00Z (GMT). No. of bitstreams: 1 ANALYSIS.pdf: 4195310 bytes, checksum: 65f9a5c5843f6eb7116219f7372438b2 (MD5) Previous issue date: 2013-09-26
Databáze: OpenAIRE
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