Landscape Cover-Type Modeling Using a Multi-Scale Thematic Mapper Mosaic

Document Type

Article

Journal/Book Title/Conference

Photogrammetric Engineering and Remote Sensing

Volume

63

Issue

1

Publisher

American Society for Photogrammetry and Remote Sensing

Publication Date

1-1-1997

First Page

59

Last Page

67

Abstract

Landscape ecological applications of remotely sensed data are needed over increasingly larger areas and at finer spatial scales. Within the framework of the National Biological Service Gap Analysis program, 36 Utah cover types were modeled from a state-wide Landsat TM mosaic created from 24 scenes at 30-metre resolution (219,883 sq km). The state was subset into three ecoregions for classification, with cover-type association to spectral classes defined using a two-step modeling approach. Steps included post-classification correlation of 1,758 state-wide field training sites to spectral classes, and post-classification ancillary GIS modeling using ecological parameters of elevation, slope, aspect, and location to further refine spectral classes representing multiple cover types. Thirty-four of 36 cover-type classes were totally or partially identified using digital modeling, with five of 36 classes requiring both digital and analog methods. This methodology provides a framework to optimize landscape remote sensing cover-type modeling using a multiple scene mosaic.

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