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
Repository Citation
Fortier, Joe; Rogan, John; Woodcock, Curtis E.; and Runfola, Daniel Miller, "Utilizing temporally invariant calibration sites to classify multiple dates and types of satellite imagery" (2011). Geography. 670.
https://commons.clarku.edu/faculty_geography/670
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
