Abstract
The purpose of this study is to determine land use changes in an area using remotely sensing and GIS data. The analysis of the remotely sensed imagery and its integration with digital spatial data consisted of four major steps: 1) Landsat TM and SPOT P data were referenced to UTM projection System; 2) SPOT P and Landsat TM images were merged to provide high resolution land use/land cover information; 3) Unsupervised and supervised classification techniques were applied to the images to establish a land use and land cover GIS database, which was subsequently used for change detection analysis, and 4) An accuracy assessment was applied to the classification results to determine the overall accuracy of the study. For classified images of 1992, overall classification was 83.3 percent and for the classified images of 1997 was 80.3 percent. Finally the raster data were converted to vector data and were used in a GIS.
| Original language | English |
|---|---|
| Pages (from-to) | 1567-1572 |
| Number of pages | 6 |
| Journal | International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives |
| Volume | 33 |
| Publication status | Published - 2000 |
| Event | 19th International Congress for Photogrammetry and Remote Sensing, ISPRS 2000 - Amsterdam, Netherlands Duration: 16 Jul 2000 → 23 Jul 2000 |
Bibliographical note
Publisher Copyright:© 2000 International Society for Photogrammetry and Remote Sensing. All rights reserved.
Keywords
- Change detection
- Classification
- GIS
- Land use
- Remote sensing