1:250000 Land-use map of Catalonia (32000 km2) using multi-temporal Landsat-TM data.
- 1 January 1995
- journal article
- research article
- Published by Informa UK Limited in International Journal of Remote Sensing
- Vol. 16 (1), 129-146
- https://doi.org/10.1080/01431169508954376
Abstract
Multi-temporal TM data, collected in 1987, has been processed in order to map twenty land-use categories over an area of 32 000 km2. Geometrical correction is accomplished by applying digital correlation techniques between TM images and a Ground Control Points (GCPs) data base. The data base, consisting of over 1000 GCPs, is composed of 15 by 15 pixels sub areas centred at UTM coordinates of all the control points used in previous studies. Principal components derived from multi-temporal data were subjected to unsupervised classification, and the spectral classes obtained were labelled using a semiautomatic process. The overall classification accuracy obtained is 85.6 per cent.Keywords
This publication has 6 references indexed in Scilit:
- Classification of TM imagery in the study of land use in lowland Britain: practical considerations for operational useInternational Journal of Remote Sensing, 1990
- Development of principal component analysis applied to multitemporal Landsat TM dataInternational Journal of Remote Sensing, 1988
- Regional land cover and agricultural area statistics and mapping in The Departement Ardeche, France, by use of Thematic Mapper dataInternational Journal of Remote Sensing, 1988
- Principal components analysis of multitemporal image pairsInternational Journal of Remote Sensing, 1985
- Thematic mapping from multitemporal image data using the principal components transformationRemote Sensing of Environment, 1984
- Monitoring land-cover change by principal component analysis of multitemporal landsat dataRemote Sensing of Environment, 1980