Dynamic modeling of vegetation change in arid landsA general framework for a digital desertification monitoring system (DDMS) for assessing the worldwide desertification growth rate is presented. The system relies on the development of Landsat derived indicators to identify local processes signalling the growth of arid regions. A study area consisting of the eastern edge of the Niger River delta in Mali was used to characterize three indicators in terms of the covariance of the multispectral scanner (MSS) bands 2 and 4, the correlation of the two bands, and the percent variance expressed by the first eigenvalue. The scenes are imaged multitemporallly in a 400 x 400 pixel array to detect vegetation cover changes. Criteria were defined which characterized the decrease or increase of vegetation. It was determined that the correlation coefficients are the best indicators, and are easily computed.
Document ID
19830043319
Acquisition Source
Legacy CDMS
Document Type
Conference Proceedings
Authors
Robinson, V. B. (Hunter Coll. New York, NY, United States)
Coiner, J. C. (Hunter Coll. New York, NY, United States)
Barringer, T. H. (Hunter College New York, NY, United States)
Date Acquired
August 11, 2013
Publication Date
January 1, 1982
Subject Category
Earth Resources And Remote Sensing
Meeting Information
Meeting: Remote sensing of arid and semi-arid lands; International Symposium on Remote Sensing of Environment