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The influence of multispectral scanner spatial resolution on forest feature classificationInappropriate spatial resolution and corresponding data processing techniques may be major causes for non-optimal forest classification results frequently achieved from multispectral scanner (MSS) data. Procedures and results of empirical investigations are studied to determine the influence of MSS spatial resolution on the classification of forest features into levels of detail or hierarchies of information that might be appropriate for nationwide forest surveys and detailed in-place inventories. Two somewhat different, but related studies are presented. The first consisted of establishing classification accuracies for several hierarchies of features as spatial resolution was progressively coarsened from (2 meters) squared to (64 meters) squared. The second investigated the capabilities for specialized processing techniques to improve upon the results of conventional processing procedures for both coarse and fine resolution data.
Document ID
19780006631
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Sadowski, F. G. (Environmental Research Inst. of Michigan Ann Arbor, MI, United States)
Malila, W. A. (Environmental Research Inst. of Michigan Ann Arbor, MI, United States)
Sarno, J. E. (Environmental Research Inst. of Michigan Ann Arbor, MI, United States)
Nalepka, R. F. (Environmental Research Inst. of Michigan Ann Arbor, MI, United States)
Date Acquired
August 9, 2013
Publication Date
January 1, 1977
Publication Information
Publication: Proc. of the 11th Intern. Symp. on Remote Sensing of Environment, Vol. 2
Subject Category
Earth Resources And Remote Sensing
Accession Number
78N14574
Funding Number(s)
CONTRACT_GRANT: NAS9-14123
CONTRACT_GRANT: NAS9-14988
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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IDRelationTitle19780006586Collected WorksProceedings of the Eleventh International Symposium on Remote Sensing of Environment, volume 2
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