Paper
23 January 2001 Multitemporal profiles of vegetation indices of Mediterranean habitats: an analysis of data provided by the VEGETATION instrument
Agustin Lobo, Jordi Carreras, Josep-Maria Ninot
Author Affiliations +
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.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Agustin Lobo, Jordi Carreras, and Josep-Maria Ninot "Multitemporal profiles of vegetation indices of Mediterranean habitats: an analysis of data provided by the VEGETATION instrument", Proc. SPIE 4171, Remote Sensing for Agriculture, Ecosystems, and Hydrology II, (23 January 2001); https://doi.org/10.1117/12.413943
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KEYWORDS
Vegetation

Reflectivity

Analytical research

Neodymium

Biological research

Earth observing sensors

Remote sensing

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