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

• Type: Article in International Conference Proceedings Book
• Date: 2012

Authors

Arlete Rodrigues (Author) Other; Andre R S Marcal (Author) FCUP; Mario Cunha (Author) FCUP

Conference proceedings International

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

Pages: 4926-4929

IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

Munich, GERMANY, JUL 22-27, 2012

Indexing

ISI Web of Knowledge - 8 Citations

Scopus - 11 Citations

Scientific classification

FOS: Engineering and technology > Electrical engineering, Electronic engineering, Information engineering

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 4