Evaluation of land cover change detection techniques using Landsat MSS dataFour techniques for detecting land cover change with Landsat MSS data were evaluated for a test site in east central Louisiana where forestland is being converted to cropland and pasture. The four techniques were: (1) post-classification differencing, (2) composite classification, (3) radiance value shift, and (4) regression modeling. Three of the techniques gave acceptable accuracies. The main differences were the amount of computer time and the level of complexity.
Document ID
19830053598
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Burns, G. S. (NASA National Space Technology Labs. Bay Saint Louis, MS, United States)
Joyce, A. T. (NASA National Space Technology Laboratories, Earth Resources Laboratory, Bay St. Louis MS, United States)
Date Acquired
August 11, 2013
Publication Date
January 1, 1982
Subject Category
Earth Resources And Remote Sensing
Meeting Information
Meeting: Remote sensing: An input to geographic information systems in the 1980