Applicability of Multi-date Land Cover Mapping using Landsat-5 TM Imagery in the Northeastern US
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.
Document Type: Research Article
Publication date: 01 April 2013
- The official journal of the American Society for Photogrammetry and Remote Sensing - the Imaging and Geospatial Information Society (ASPRS). This highly respected publication covers all facets of photogrammetry and remote sensing methods and technologies.
Founded in 1934, the American Society for Photogrammetry and Remote Sensing (ASPRS) is a scientific association serving over 7,000 professional members around the world. Our mission is to advance knowledge and improve understanding of mapping sciences to promote the responsible applications of photogrammetry, remote sensing, geographic information systems (GIS), and supporting technologies. - Editorial Board
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