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

摘要

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 organization and 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.