Deriving Landcover Information over Siberia Using MERIS and MODIS Data

Details Deriving Landcover Information over Siberia Using MERIS and MODIS Data Deriving Landcover Information over Siberia Using MERIS and MODIS Data

May 2004

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2004esasp.549e..20s&link_type=abstract

Proceedings of MERIS User Workshop (ESA SP-549). 10-13 November 2003, ESA-ESRIN, Frascati, Italy. Editor: H. Lacoste. Published

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Estimating the extent of various land cover types at regional and global scales is an important source of information required by a variety of applications. Although techniques for classifying remotely sensed data have been presented and discussed for many years, it is only recently that classification analysis over such large areas has been possible. The generation of the kilometer resolution IGBP and UMD global land-cover maps (based upon AVHRR data) indicates an early advance in this area. We may now be approaching the next evolutionary step in large-scale land cover mapping. The availability of globally acquired data from satellite-borne medium resolution optical sensors has increased dramatically with the recent launch of the Terra, Aqua, ENVISAT and SPOT5 platforms. However, a critical f ctor is that the spatial, spectral and a radiometric resolution of these 'next generation' sensors are, in many geographic areas, far more suited to identifying certain land cover classes when compared to previous sensors. In particular, this is true over the Siberia region were many land features are sub-kilometer in size with similar spectral properties. Previous land cover results for this area, for example the IGBP and Global Land Cover 2000 maps, have been limited in their accuracy because of this. The main focus of this paper is upon deriving land cover information over the Siberia region using data from the MERIS sensor. Classification of the data at the sensors full resolution (300m) allowed many more land cover features to be identified compared to a classification based upon the reduced resolution mode (1km). However, the limited wavelength range of the MERIS spectral bands hindered the ability to discriminate some of the vegetation classes. The accuracy of the thematic result was reduced in comparison to a classification derived using MODIS data for the same area (spatial resolution of 500m). The implications of these results are discussed further in the paper and suggestions for future use of these data sources are also made.

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