An Efficient Remote Sensing Solution to Update the NCWI

This article will discuss how wetlands play an important role in the global ecosystem because they provide many ecosystem services and habitat for wildlife. The United States developed the National Coastal Wetlands Inventory (NCWI) to provide information on the spatial extent of the coastal wetlands. However, the NCWI has become outdated and needs to be updated for natural resource management. Monitoring invasive species is also essential because of the fact that these species threaten wetland health. The overall objective of this article is to develop accurate and replicable tools for monitoring coastal wetlands in a time- and cost-efficient manner. The results presented in this article will provide remote sensing strategies for updating coastal wetlands inventory every 5 to 10 years with improved classification accuracy. These strategies are more efficient than the traditional approaches of aerial image interpretation and field surveys. The wetlands inventory data from this article will provide the information needed by natural resource managers to protect and conserve wetlands.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/00991112
• Authors:
  • Stein, Beth R
  • Zheng, Boojuan
  • Kokkinidis, Ioannis
  • Kayastha, Nilam
  • Seigler, Taylor
  • Gokkaya, Demal
  • Gopalakrishnan, Ranjith
  • Hwang, Won Hoi
• Publication Date: 2012-6

Language

• English

Media Info

• Media Type: Print
• Features: Figures; Maps; Photos; References; Tables;
• Pagination: pp 537-547
• Serial:
  • Photogrammetric Engineering and Remote Sensing
  • Volume: 78
  • Issue Number: 6
  • Publisher: American Society for Photogrammetry and Remote Sensing
  • ISSN: 0099-1112

Subject/Index Terms

• TRT Terms: Coastal engineering; Ecosystems; Invasive plants; Natural resources; Remote sensing; Wetlands
• Subject Areas: Environment; Transportation (General); I15: Environment;

Filing Info

• Accession Number: 01376293
• Record Type: Publication
• Files: TRIS
• Created Date: Jul 24 2012 9:11AM