Machine processing of Landsat MSS data and DMA topographic data for forest cover type mappingA study with the objective of developing and testing techniques which utilize both digital topographic data and Landsat MSS spectral data to map forest cover types is examined. Emphasis is given to the topographic distribution model (TDM), which combines point-by-point information about forest species, elevation, slope, and aspect to quantitatively describe topographic positions. Results show the stratified random sample approach to be very effective for developing the TDM, while the use of topographic data significantly improved the overall classification accuracy of forest cover types as compared to using spectral data alone.
Document ID
19800041427
Acquisition Source
Legacy CDMS
Document Type
Conference Proceedings
Authors
Fleming, M. D. (Purdue Univ. West Lafayette, IN, United States)
Hoffer, R. M. (Purdue University West Lafayette, Ind., United States)
Date Acquired
August 10, 2013
Publication Date
January 1, 1979
Subject Category
Earth Resources And Remote Sensing
Meeting Information
Meeting: Machine processing of remotely sensed data