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Multitemporal LANDSAT Data Sets as a Basis for Landuse Mapping

J. Lichtenegger and K. Seidel
Proceedings of the International Symposium on Remote Sensing for Observation and Inventory of Eartch Resources and the Enhanced Environment
Freiburg, Germany, July 1978

Abstract

The analysis of a Landsat frame with respect to land use categories is unsatisfactory: the four spectral bands used in the sensor system do not recognize the differences with the necessary resolution so that all the interesting categories would be distinuishable in a single picture. Depending on the date the record is taken, the cultivations are classifiable with different reliability: a MSS-picture taken in spring time delivers e.g. good separation between cereals and root crops but no separation between different classes of cereals. In early summer time one may be able to differentiate these classes. This leads to the simple idea of combining those four-band-pictures so that :hey become 8, 12, or even more channel pictures. In this case we speak of multispectral data sets.


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@InProceedings{eth_biwi_01179,
  author = {J. Lichtenegger and K. Seidel},
  title = {Multitemporal LANDSAT Data Sets as a Basis for Landuse Mapping},
  booktitle = {Proceedings of the International Symposium on Remote Sensing for Observation and Inventory of Eartch Resources and the Enhanced Environment},
  year = {1978},
  month = {July},
  keywords = {}
}