Geography

Document Type

Article

Abstract

Mapping past time periods (retrospective mapping) using remotely sensed data is hindered by a lack of coincident calibration and validation information. The identification of features of same ground cover invariant across time and their use as calibration and validation data addresses this challenge by: (a) streamlining the process of image calibration for multiple dates, and (b) allowing each image to generate its own spectral signature. This study investigates the use of temporally invariant calibration and validation data to map land-cover in Massachusetts, employing five satellite images collected from five separate dates and different sensors. The results indicate that this technique can be used to produce land cover classifications of similar overall map accuracy to published mapping studies. Classification accuracy using this method is highly dependent on the characteristics (radiometric, spectral, and spatial) of the satellite imagery. © 2011 American Society for Photogrammetry and Remote Sensing.

Publication Title

Photogrammetric Engineering and Remote Sensing

Publication Date

2011

Volume

77

Issue

2

First Page

181

Last Page

189

ISSN

0099-1112

DOI

10.14358/PERS.77.2.181

Keywords

accuracy assessment, calibration, data set, historical cartography, identification method, land cover, mapping method, remote sensing, satellite imagery, spatial analysis, spectral analysis

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Geography Commons

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