Spectral separability of tropical forest cover classes
- 1 July 1987
- journal article
- research article
- Published by Taylor & Francis in International Journal of Remote Sensing
- Vol. 8 (7) , 971-979
- https://doi.org/10.1080/01431168708954741
Abstract
Spectral separability analysis of various tropical forest cover classes as recorded on Landsat MSS data were carried out for two test areas of northeastern India. The results indicated that two density classes of forests and two edaphic forest types formed spectrally separable classes but some of the important physiognomic units could not be reliably separated using Landsat MSS data in a spectrally complex tropical forest environment.Keywords
This publication has 2 references indexed in Scilit:
- Intensive forest clearing in Rondonia, Brazil, as detected by satellite remote sensingRemote Sensing of Environment, 1984
- Some clarifications about the pairwise divergence measure in remote sensingInternational Journal of Remote Sensing, 1984