The National Vegetation Classification Standard applied to the remote sensing classification of two semiarid environments

Environmental Management

Volumn 29, Issue 5, 2002, Pages 703-715

  Ramsey III, Elijah W ^a   Nelson, Gene A ^a   Echols, Darrell ^b   Sapkota, Sijan K ^c  

^a NATIONAL WETLANDS RESEARCH CENTER   (United States)

^b NATIONAL PARK SERVICE   (United States)

^c Johnson Controls World Services Inc   (United States)

Author keywords

Accuracy assessment; Color infrared photography; Landsat Thematic Mapper data; National Vegetation Classification Standard; Oil and gas management plans

Indexed keywords

LAKES; OPTICAL RESOLVING POWER; VEGETATION; WATER POLLUTION;

OIL AND GAS MANAGEMENT;

ENVIRONMENTAL IMPACT;

OIL; PETROLEUM;

ENVIRONMENTAL MANAGEMENT; LAND COVER; NATIONAL PARK; RECREATIONAL MANAGEMENT; REMOTE SENSING; SEMIARID REGION; VEGETATION CLASSIFICATION;

ACCURACY; ARTICLE; ENVIRONMENTAL MANAGEMENT; GAS; GEOGRAPHY; HABITAT STRUCTURE; INFORMATION SERVICE; INFRARED PHOTOGRAPHY; LANDSCAPE; OIL INDUSTRY; OPTICAL RESOLUTION; PHOTOGRAPHY; REMOTE SENSING; RESOURCE MANAGEMENT; SEMIARID CLIMATE; SENSORY SYSTEM; TOPOGRAPHY; VEGETATION; DESERT CLIMATE; ECOSYSTEM; ENVIRONMENTAL MONITORING; ENVIRONMENTAL PROTECTION; INDUSTRY; METHODOLOGY; PLANT; REFERENCE VALUE; SPACE FLIGHT;

UNITED STATES;

CONSERVATION OF NATURAL RESOURCES; DESERT CLIMATE; ECOSYSTEM; ENVIRONMENTAL MONITORING; INDUSTRY; PETROLEUM; PLANTS; REFERENCE VALUES; SPACECRAFT;

EID: 0036579599     PISSN: 0364152X     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00267-001-0048-5     Document Type: Article

References (12)

1. Congalton, R. G. 1991. A review of assessing the accuracy of classifications of remotely sensed data. Remote Sensing of Environment 37:35-46.
2. Di Gregorio, A., and L. J. M. Jansen. 1996. Land cover classification scheme: a dichotomous, modular-hierarchical approach. Food and Agriculture Organization of the United Nations, Rome, Italy, 11 pp.
3. Driscoll, R. S., D. L. Merkel, D. L. Radloff, D. E. Snyder, and J. S. Hagihara. 1984. An ecological land classification framework for the United States. USDA Forest Service, Misc. Pub, 1439, US Department of Agriculture, Forest Service, Washington, DC, 56 pp.
4. Jensen, J., D. Cowen, J. Althausen, and O. Weatherbee. 1994. An evaluation of the coastwatch change detection protocol in South Carolina. Photogrammetric Engineering and Remote Sensing 59:1039-1046.
5. Ramsey, E. W., III, and S. C. Laine. 1997. Comparison of Landsat Thematic Mapper and high resolution photography to identify change in complex coastal marshes. Journal of Coastal Research 13:281-292.
6. Ramsey, E. W., III, G. A. Nelson, and S. K. Sapkota. 1998. Classifying coastal resources by integrating optical and radar imagery and color infrared photography. Mangroves and Salt Marshes 2(2):109-119.
7. TNC (The Nature Conservancy). 1994. Standardized national vegetation classification system. NBS/NPS vegetation mapping program. US Department of the Interior, National Biological Survey and National Park Service, FTP: ftp:// ftp.ttc.nbs.gov/pub/vegmapping/classification
8. UNEP/FAO (United Nations Environment Programme/Food and Agriculture Organization). 1995. Background note on on-going activities relating to land use and land cover classification, FAO, Rome, Italy, 7 pp.
9. UNESCO. 1973. International classification and mapping of vegetation, Series 6, Ecology and Conservation. United Nations Educational, Scientific and Cultural Organization, Paris, France, 96 pp.
10. van Genderen and Lock. 1977. Testing land-use map accuracy. Photogrammetric Engineering and Remote Sensing 43:1135-1137.
11. VCS. 1997. Vegetation classification standard, Federal Geographic Data Committee, Vegetation Subcommittee, U.S. Geological Survey, URL: http://www.fgdc.gov/standards/ documents/standards/vegetation/vegclass.pdf
12. Young, A. 1994. Towards international classification standards for land use and land cover. A preliminary proposal for UNEP and FAO, Rome, Italy, 45 pp.