PHENOLOGY PARAMETER EXTRACTION FROM TIME-SERIES OF SATELLITE VEGETATION INDEX DATA USING PHENOSAT

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2012

Autores

Arlete Rodrigues (Autor) Outra; Andre R S Marcal (Autor) FCUP; Mario Cunha (Autor) FCUP

Ata de Conferência Internacional

Título: 2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)

Páginas: 4926-4929

IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

Munich, GERMANY, JUL 22-27, 2012

Indexação

ISI Web of Knowledge - 9 Citações

Scopus - 11 Citações

Classificação Científica

FOS: Ciências da engenharia e tecnologias > Engenharia electrotécnica, electrónica e informática

Outras Informações

ID Authenticus: P-002-E3T

DOI: 10.1109/igarss.2012.6352507

Abstract (EN): PhenoSat is an experimental software tool that extracts phenological information from satellite vegetation index time-series. Temporal satellite NDVI data provided by VEGETATION sensor from three different vegetation types (Vineyard, Closed Deciduous Forest and Deciduous Shrubland with Sparse Trees) and for different geographical locations were used to test the ability of the software in extracting vegetation dynamics information. Six noise reduction filters were tested: piecewise-logistic, Savitzky-Golay, cubic smoothing splines, Gaussian models, Fourier series and polynomial curve fitting. The results showed that PhenoSat is an useful tool to extract phenological NDVI metrics, providing similar results to those obtained from field measurements. The best results presented correlations of 0.89 (n=6; p<0.01) and 0.71 (n=6; p<0.06) for the green-up and maximum stages, respectively. In the fitting process, the polynomial and Gaussian algorithms over smoothed the peak related with a double-growth season, the opposite to the other methods that could detect more accurately this peak.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 4