G. B. Groom

Contextual correction: techniques for improving land cover mapping from remotely sensed images

Large area land cover mapping is an important application of remote sensing. A digital land cover map of Great Britain has recently been compiled by supervised classification of Landsat Thematic Mapper data. The work has involved development of a range of post classification procedures to correct contextual errors associated with the use of spectral classification algorithms. This paper describes these procedures and examines their effects upon the map product including a comparison with field survey data.

The Availability of Landsat TM images of Great Britain

Abstract The loss of Landsat 6, at launch, and the ageing sensors on board Landsats 4 and 5, enhance the value of existing TM images. This letter shows that 88 per cent of Britain was imaged as cloud-free scenes or quarter scenes, in both the summer and winter of 1988-1990 and 97.5 per cent was imaged on at least one date. Acquisitions in 1991-1993 have been few.