Please use this identifier to cite or link to this item:
|Title:||Categorization of Land-Cover Change Processes Based on Phenological Indicators Extracted from Time Series of Vegetation Index Data|
|Authors:||LUPO Frédéric; LINDERMANN Marc; VANACKER V.; BARTHOLOME' ETIENNE; LAMBIN Eric|
|Citation:||INTERNATIONAL JOURNAL OF REMOTE SENSING vol. 28 no. 11 p. 2469-2483|
|Publisher:||TAYLOR & FRANCIS LTD|
|Type:||Articles in periodicals and books|
|Abstract:||A straightforward method for categorizing temporal patterns of land-cover change is presented. Two successive years of enhanced vegetation index (EVI) data derived from the Moderate Resolution Imagery Spectrometer (MODIS) were analysed. Five phenological indicators were extracted. Based on the interannual difference of each of the five indicators, indices of change in phenology were calculated. An unsupervised classification of these five indices of change applied to pixels characterized by a high change magnitude led to the identification of seven categories of land-cover change patterns. Thirty-one per cent of the change pixels could clearly be explained by a difference in only one or two phenological indicators, e.g. a shift in the start of the growing season or an interruption of the growing season due to floods. The remaining change pixels were explained by a combination of more than two indices of change. The output of this analysis is an allocation of change pixels to broad categories of land-cover change as a preliminary step for finer resolution analyses.|
|JRC Institute:||Sustainable Resources|
Files in This Item:
There are no files associated with this item.
Items in repository are protected by copyright, with all rights reserved, unless otherwise indicated.