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Record Details

Record 83 of 44116
Spatial variation analyses of Thematic Mapper data for the identification of linear features in agricultural landscapes
Author and Affiliation:
Pelletier, R. E.(NASA Earth Resources Laboratory, Bay St. Louis, MS, United States)
Abstract: A need exists for digitized information pertaining to linear features such as roads, streams, water bodies and agricultural field boundaries as component parts of a data base. For many areas where this data may not yet exist or is in need of updating, these features may be extracted from remotely sensed digital data. This paper examines two approaches for identifying linear features, one utilizing raw data and the other classified data. Each approach uses a series of data enhancement procedures including derivation of standard deviation values, principal component analysis and filtering procedures using a high-pass window matrix. Just as certain bands better classify different land covers, so too do these bands exhibit high spectral contrast by which boundaries between land covers can be delineated. A few applications for this kind of data are briefly discussed, including its potential in a Universal Soil Loss Equation Model.
Publication Date: Jan 01, 1984
Document ID:
19860035922
(Acquired Nov 28, 1995)
Accession Number: 86A20660
Subject Category: EARTH RESOURCES AND REMOTE SENSING
Document Type: Conference Paper
Publication Information: SEE A86-20651
Publisher Information: United States
Financial Sponsor: NASA; United States
Organization Source: NASA Earth Resources Lab.; Bay Saint Louis, MS, United States
Description: 7p; In English
Distribution Limits: Unclassified; Publicly available; Unlimited
Rights: Copyright
NASA Terms: EARTH OBSERVATIONS (FROM SPACE); IMAGE ANALYSIS; PATTERN RECOGNITION; SATELLITE IMAGERY; THEMATIC MAPPERS (LANDSAT); THEMATIC MAPPING; AGRICULTURE; BANDPASS FILTERS; CLASSIFICATIONS; IMAGE ENHANCEMENT; PRINCIPAL COMPONENTS ANALYSIS; SPATIAL FILTERING
Imprint And Other Notes: IN: Spatial information technologies for remote sensing today and tomorrow; Proceedings of the Ninth Pecora Symposium, Sioux Falls, SD, October 2-4, 1984 (A86-20651 07-43). Silver Spring, MD, Institute of Electrical and Electronics Engineers, Inc., 1984, p. 62-68.
Availability Source: Other Sources
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