Metrics
32 Record Views
Journal article
Using NDVI Differencing and Temporal Logic to Enhance ISODATA Classification in Urban Environments
GIScience and remote sensing, Vol.44(1), pp.48-67
03/01/2007
Web of Science ID: WOS:000244371100003
Abstract
This paper presents a new approach to improving land use/cover mapping accuracy in an urban environment. Bi-temporal Landsat TM images (1987 and 1997) were initially classified using the ISODATA method. An NDVI difference image was derived and classified, with each class indicating certain land use/cover changes. Temporal logical reasoning was then performed on the classified NDVI difference map and the initial land use/cover maps. The procedure successfully resolved the confusion between forest clear-cuts/fallow cropland and urban, as well as between forest clear-cuts and cropland. The kappa analysis test led to a Z value of 1.837 with the p-value of 0.026 for the year 1987, and a Z value of 1.924 with the p-value of 0.014 for 1997, indicating significant enhancement at the 95% confidence level.
Related links
Details
- Title
- Using NDVI Differencing and Temporal Logic to Enhance ISODATA Classification in Urban Environments
- Publication Details
- GIScience and remote sensing, Vol.44(1), pp.48-67
- Resource Type
- Journal article
- Publisher
- Taylor & Francis Group
- Copyright
- Copyright © 2007 by V. H. Winston & Son, Inc. All rights reserved.
- Identifiers
- WOS:000244371100003; 99380491489406600
- Academic Unit
- Hal Marcus College of Science and Engineering ; Earth and Environmental Sciences
- Language
- English