Explore open access research and scholarly works from NERC Open Research Archive

Advanced Search

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

Groom, G.B.; Fuller, R.M.; Jones, A.R.. 1996 Contextual correction: techniques for improving land cover mapping from remotely sensed images. International Journal of Remote Sensing, 17 (1). 69-89. 10.1080/01431169608948987

Abstract
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.
Documents
Full text not available from this repository.
Information
Programmes:
A Pre-2012 Programme
Library
Metrics

Altmetric Badge

Dimensions Badge

Share
Add to AnyAdd to TwitterAdd to FacebookAdd to LinkedinAdd to PinterestAdd to Email
View Item