Landsat imagery for surface-mine inventory
Journal Article
·
· Photogramm. Eng.; (United States)
OSTI ID:6881402
The feasibiity of using LANDSAT imagery for surface coal mine inventory was tested in Maryland. A four band analysis distinguishing various stripmine-associated classes and conditions proved useful, but had limited extendibility over a seasonal or annual period. A band-ratio method, developed for measuring disturbed surface areas, proved to be both temporally and geographically extendible. For mines ranging from 12-98 ha, the measurement accuracy of the total affected acreage was 92%. The use of LANDSAT data and multilevel sampling of aircraft and field verification inspections has shown multispectral analysis of digital data to be an effective, rapid, and accurate means of monitoring the surface mining cycle. (3 maps, 6 photos, 7 references, 1 table)
- OSTI ID:
- 6881402
- Journal Information:
- Photogramm. Eng.; (United States), Journal Name: Photogramm. Eng.; (United States) Vol. 43:8; ISSN PGMEA
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
01 COAL, LIGNITE, AND PEAT
010900 -- Coal
Lignite
& Peat-- Environmental Aspects
510500* -- Environment
Terrestrial-- Site Resource & Use Studies-- (-1989)
54 ENVIRONMENTAL SCIENCES
CENTRAL REGION
COAL MINES
FEASIBILITY STUDIES
INVENTORIES
LAND POLLUTION
MARYLAND
MINES
MINING
MONITORING
NORTH AMERICA
POLLUTION
REMOTE SENSING
SURFACE MINING
USA
010900 -- Coal
Lignite
& Peat-- Environmental Aspects
510500* -- Environment
Terrestrial-- Site Resource & Use Studies-- (-1989)
54 ENVIRONMENTAL SCIENCES
CENTRAL REGION
COAL MINES
FEASIBILITY STUDIES
INVENTORIES
LAND POLLUTION
MARYLAND
MINES
MINING
MONITORING
NORTH AMERICA
POLLUTION
REMOTE SENSING
SURFACE MINING
USA