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- Title
Applicability of Multi-date Land Cover Mapping using Landsat-5 TM Imagery in the Northeastern US.
- Authors
MacLean, Meghan Graham; Congalton, Russell G.
- Abstract
In many situations, multi-date image classification improves classification accuracies. However, with improved accuracies comes increased image processing time and effort. This work investigates the circumstances under which multi-date image classification is significantly better than single-date classification using Landsat-5 TM imagery for southeastern New Hampshire. Multiple Landsat images were processed for every three years from 1986 to 2010 and classified using an object-based image analysis approach (OBIA) with a classification and regression tree (CART) technique. Two maps were created for each of the mapping years, one using a single image, and another using multiple images from that year The multi-date classification process generally performed better than the single-date process. However, the significance of the improvement was primarily dependent on the accuracy of the single-date map. Therefore, if the accuracy of the singledate classification is acceptable, it may not be necessary to perform the multi-date classification.
- Subjects
NEW Hampshire; SATELLITE-based remote sensing; LAND cover; IMAGE analysis; REGRESSION trees
- Publication
Photogrammetric Engineering & Remote Sensing, 2013, Vol 79, Issue 4, p359
- ISSN
0099-1112
- Publication type
Article
- DOI
10.14358/PERS.79.4.359