Fanning - A classification algorithm for mixture landscapes applied to Landsat data of Maine forestsIt is pointed out that typical landscapes include a relatively small number of 'pure' land cover types which combine in various proportions to form a myriad of mixture types. Most Landsat classifications algorithms used today require a separate user specification for each category, including mixture categories. Attention is given to a simpler approach, which would require the user to specify only the 'pure' types. Mixture pixels would be classified on the basis of the proportion of the area covered by each pure type within the pixel. The 'fanning' algorithm quantifies varying proportions of two 'pure' land cover types in selected mixture pixels. This algorithm was applied to 200,000 ha of forest land in Maine, taking into account a comparison with standard inventory information. Results compared well with a discrete categories classification of the same area.
Document ID
19820044133
Acquisition Source
Legacy CDMS
Document Type
Conference Proceedings
Authors
Ungar, S. G. (NASA Goddard Institute for Space Studies New York, NY, United States)
Bryant, E. (NASA Goddard Institute for Space Studies, New York, NY; Dartmouth College, Hanover NH, United States)
Date Acquired
August 10, 2013
Publication Date
January 1, 1981
Subject Category
Earth Resources And Remote Sensing
Meeting Information
Meeting: In: International Symposium on Remote Sensing of Environment