Multi-Criteria Wetlands Mapping Using an Integrated Pixel-Based and Object-Based Classification Approach

Details

• Creators:
  Hsu, Chengmin ; Johnson, Lynn
• Corporate Creators:
  University of Colorado at Denver. Department of Civil Engineering
• Corporate Contributors:
  Colorado. Department of Transportation. Applied Research & Innovations Branch ; United States. Department of Transportation. Federal Highway Administration
• Subject/TRT Terms:
  Aerial Photography Databases Environmental Protection Geographic Information Systems Global Positioning System Hydrological Analysis Hydrology Image Processing Inventory Landsat Satellites Mapping Remote Sensing USACE Wetlands Delineation Manual Wetland Inventory Databases Wetlands

  More +
• Publication/ Report Number:
  CDOT-2008-8
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States ; Colorado
• Edition:
  Final Report
• Corporate Publisher:
  Colorado Department of Transportation. Applied Research & Innovations Branch
• Abstract:
  The Colorado Department of Transportation (CDOT) has the challenging task of protecting the environment while developing and maintaining the best transportation systems and services possible for the citizens of Colorado. Among these tasks, a wetland inventory database is a key component required to meet the environmental protection mandate. The subject research project is directed to developing a semi-automated method to identify and classify inland wetlands in the northern Front Range area of Colorado. A goal of the project is to produce a database that accurately records wetland locations based on the classification system that is commonly used by many organizationsand institutions. The methodology is based on satellite imagery, high resolution aerial photos, and digital elevation model data in conjunction with field global positioning system data collections. Satellite imagery being used includes moderate resolution LANDSAT 7 ETM+, Terra ASTER, and EO-1 Hyperion/ALI. The aerial photography is from the National Agriculture Imagery Program and is mainly used for validation and sample collection purposes. The EO-1 imagery has high spectral resolution and is used to develop a wetlands spectrum signature library which is then used to observe the correlations between EO-1 and LANDSAT 7 and ASTER image bands. The image processing approach being applied uses both pixel-based and object-based classification techniques; the object-based technique accounts for the pattern of neighboring pixels and wetland boundary shapes. The variables generated for object-based classification algorithm are extracted from multi-spectral imagery and include image texture, wetland shapes, greenness, wetness, brightness, normalized difference vegetation index, principal components, stream networks, biological soil crust index, and land thermal fluctuation. In the final stage, these variables are incorporated into a hierarchical rule creation for facilitating the wetland classification operation. To complete the tasks, the software used include ArcGIS®, ENVI®, DEFINIENS® Professional. Results of the research indicate a high correspondence with wetlands mapped by field biologists and identification of additional wetlands not previously recognized.
• Format:
  PDF
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:e5021895dd3c1a9681caf16fc5a2a13b9395cfc3cd4a2424a9c05399fd9a9af24c94cfd12e972c46f7639fb935597c4c3a396deecb21ccf667624cafff99d526
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/92942/dot_92942_DS1.pdf
• File Type:
  [PDF - 2.32 MB ]