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Proceedings Paper

Multitemporal profiles of vegetation indices of Mediterranean habitats: an analysis of data provided by the VEGETATION instrument
Author(s): Agustin Lobo; Jordi Carreras; Josep-Maria Ninot
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Paper Abstract

Annual cycles of greenness, as observed from coarse satellite imagery, have proven to be a useful proxy of phenology of light interception. VEGETATION imagery has superior radiometric and geometric specifications compared to the commonly used NOAA-AVHRR images, which should result into a more accurate description of phenolgy. We have analyzed the annual cycles of VEGETATION reflectance quotients from 36 S10 products for a number of very detailed habitat types in the NW Mediterranean basin. We selected all VEGETATION pixels (1 km2) that were included within one single habitat patch, extracted their multi-temporal reflectance data and ancillary information, and analyzed the time series of normalized differences of near-infrared minus red and of near-infrared minus medium-infrared reflectance values. The distribution of habitats on the principal components plane indicated that individual time series tended to cluster by habitat type and that the main sources of variation were the average value of the time series and the position of the maximum value. The distribution of observations on the plane defined by both indices indicates a general linear correlation except if surface water is present. Our work shows the interest of the multi-temporal analysis of satellite imagery at detailed scales to fully understand the dynamics of light interception and the response of mixed multi-temporal VEGETATION image pixels.

Paper Details

Date Published: 23 January 2001
PDF: 4 pages
Proc. SPIE 4171, Remote Sensing for Agriculture, Ecosystems, and Hydrology II, (23 January 2001); doi: 10.1117/12.413943
Show Author Affiliations
Agustin Lobo, Institut de Ciencias de la Terra Jaume Almera (Spain)
Jordi Carreras, Univ. de Barcelona (Spain)
Josep-Maria Ninot, Univ. de Barcelona (Spain)

Published in SPIE Proceedings Vol. 4171:
Remote Sensing for Agriculture, Ecosystems, and Hydrology II
Manfred Owe; Guido D'Urso; Eugenio Zilioli, Editor(s)

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