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Lake Maggiore - Italy, 3-6 April 2000

VEGETATION data for monitoring woody vegetation in landscape frameworks

Hubert Gulinck and Tim Wagendorp
KULeuven - Belgium

Paper (pdf file, 101 k)

This project tries to relate the VEGETATION sensor data to areal information about wood cover. In order to find out how coarse resolution images react to the target features (wood) in highly fragmented cultural landscapes several approaches were envisaged.

The CORINE land cover database was taken as the prime reference datalayer because of its extent and consistent legend. Areal estimation of this reference were calibrated for the basic resolution and aggregation effects, by comparison with a geographic sample and subsamples of 20 and 1m resolution respectively. over Flanders. Seven VEGETATION images over a section of north-western Europe were analysed. In a sample of segments, wood cover as defined by the reference dataset was regressed (stepwise multiple regression) to image characteristics, in order to be able to assess the contribution of the individual bands and periods. The SWIR seems to provide extra information for quantifying the contribution of coniferous versus deciduous wood. Seasonal combinations yield additional information.

The concept of landscape stratification was introduced. 5km land squares were classified according to land cover context, fragmentation and gross soil characteristics. Each of the retained land classes serves as stratum for an independent sampling of 5km images quadrats. The other way round, the contribution of VGT imagery in current concepts of wide-scale landscape stratifications is discussed.