Development of principal component analysis applied to multitemporal Landsat TM data
- 1 December 1988
- journal article
- research article
- Published by Taylor & Francis in International Journal of Remote Sensing
- Vol. 9 (12) , 1895-1907
- https://doi.org/10.1080/01431168808954988
Abstract
A method of extracting different crop information more effectively, by applying principal component analysis to a three-dimensional three-date Landsat TM data space, has been developed. Landsat TM data obtained on 7 June, 9 July and 26 August 1984 were used to examine the approach, and the results fully demonstrated its advantages over other methods of keeping classification accuracy without any calibrations for multitemporal Landsat data.Keywords
This publication has 3 references indexed in Scilit:
- Standardized principal componentsInternational 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