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Using Landsat MSS data with soils information to identify wetland habitatsA previous study showed that certain fresh water wetland vegetation types can be spectrally separated when a maximum likelihood classification procedure is applied to Landsat spectral data. However, wetland and upland types which have similar vegetative life forms (e.g., upland hardwoods and hardwood swamps) are often confused because of spectral similarity. Therefore, the current investigation attempts to differentiate similar wetland and upland types by combining Landsat multispectral scanner (MSS) data with soils information. The Pigeon River area in northern Indiana used in the earlier study was also employed in this investigation. A layered classification algorithm which combined soils and spectral data was used to generate a wetland classification. The results of the spectral/soils wetland classification are compared to the previous classification that had been based on spectral data alone. The results indicate wetland habitat mapping can be improved by combining soils and other ancillary data with Landsat spectral data.
Document ID
19810058832
Acquisition Source
Legacy CDMS
Document Type
Conference Proceedings
Authors
Ernst, C. L.
(Purdue Univ. West Lafayette, IN, United States)
Hoffer, R. M.
(Purdue University Lafayette, IN, United States)
Date Acquired
August 11, 2013
Publication Date
January 1, 1981
Subject Category
Earth Resources And Remote Sensing
Meeting Information
Meeting: Annual William T. Pecora Memorial Symposium on Remote Sensing
Location: Sioux Falls, SD
Start Date: June 10, 1979
End Date: June 15, 1979
Accession Number
81A43236
Funding Number(s)
CONTRACT_GRANT: NGL-15-005-186
Distribution Limits
Public
Copyright
Other

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