Journal Article10.1080/01431168508948329
Mapping of forest resources from a LANDSAT diazo colour composite
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TL;DR: In this paper, the authors evaluated the potential of an autumn LANDSAT MSS diazo-enhanced composite which consisted of one yellow copy of band4, three magenta copies of band 5 and one cyan copy of bands 7 to map an area of small scattered forestlands.
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Abstract: This study evaluated the potential of an autumn LANDSAT MSS diazo-enhanced composite which consisted of one yellow copy of band4, three magenta copies of band 5 and one cyan copy of band 7, to map an area of small scattered forestlands. The standard colour composite of the same scene was also used for comparative purposes. The best diazo composite was made by high-contrast films. The diazo technique used is discussed briefly. Interpretation errors were characterized as commission errors and omission errors which were further classified by size and into errors of boundary placement and errors of identification. Furthermore, they were classified according to land-cover/use and stocking-level stand-size classification systems. The three types of accuracy calculated (classification, interpretation and mapping) indicated, first, the potential of mapping forestlands on a LANDSAT image and, second, that the diazo composite improved the interpretation performance over the standard composite. On both imag...
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Citations
Evaluation of several classification schemes for mapping forest cover types in Michigan
TL;DR: Landsat MSS data were evaluated for mapping forest cover types in the northern Lower Peninsula of Michigan and supervised classification techniques were more accurate than unsupervised clustering over all sites and seasons.
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The utility of digital Thematic Mapper data for natural resources classification
TL;DR: In this article, the Landsat Thematic Mapper data collected over central Michigan in the U.S.A., in October 1982, were digitally analyzed to determine qualitatively and quantitatively their utility and potential to classify nine natural resources categories (e.g. red pine, jack pine, scotch pine, low conifers, hardwoods, grassland, water, wetland and other).
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Recognition of Spectral Pattern Characteristic of Land Cover for Assisting Visual Interpretation of Landsat ETM^+ :A Forest Degradation Mapping in Tropical Rain Forest of Sabah, Malaysia
TL;DR: In this paper, the spectral pattern of land cover was used for forest degradation mapping in Borneo's tropical rain forest with ecological consequence that can be retrieved from Landsat erM+.
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References
•Journal Article
Forest type mapping with satellite data
A. G. Dodge,E. S. Bryant +1 more
TL;DR: In this paper, computer classification of data from Landsat, an earth-orbiting satellite, has resulted in measurements and maps of forest types for two New Hampshire counties, and the acreages of hardwood and softwood types and total forested areas compare favorably with Forest Service figures for the same areas.
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Techniques for Using Diazo Materials in Remote Sensor Data Analysis
Lee E. Whitebay,Shara Mount +1 more
- 01 Jan 1978
TL;DR: In this article, a simple low-cost method is presented by which users can make their own specially enhanced composite images from the four band black and white LANDSAT images by using the diazo process.