Preparation of urban land use inventories by machine processing of ERTS MSS data

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Preparation of urban land use inventories by machine processing of ERTS MSS data

Preparation of urban land use inventories by machine processing of ERTS MSS data

Todd, W. / Mausel, P. E. / Wenner, K. A.

Spectral classes of urban phenomena identified from Earth Resources Technology Satellite (ERTS) multispectral scanner data in Milwaukee included suburban inner city, industry, grassy (open area), road, wooded suburb, water cloud, and shadow. The Milwaukee spectral class statistics were used to classify the Chicago area, within the same ERTS frame, and similar results were achieved. In another ERTS frame, Marion County (Indianapolis) data were classified into similar classes. The Marion County ERTS study was supported by a land use classification of an area near downtown Indianapolis that utilized 12-band MSS data collected by aircraft from 3000 feet. The results of the ERTS analyses suggest that satellite data will be a useful tool for the urban planner for monitoring urban land use.

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Title :

Preparation of urban land use inventories by machine processing of ERTS MSS data

Contributors:

Todd, W. (author) / Mausel, P. E. (author) / Wenner, K. A. (author)

Published in:

NASA. Goddard Space Flight Center Symp. on Significant Results obtained from the ERTS-1, Vol. 1, Sect. A and B

Publication date :

1973-01-01

Type of media :

Conference paper

Type of material :

No indication

Language :

English

Keywords :

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