EVALUATE THE CAPABILITY OF LANDSAT8 OPERATIONAL LAND IMAGER FOR SHORELINE CHANGE DETECTION/INLAND WATER STUDIES
This paper explored the capability of Landsat-8 Operational Land Imager (OLI) for post classification change detection analysis and mapping application because of its enhanced features from previous Landsat series. The OLI support vector machine (SVM) classified data was successfully classified wi...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2017-05-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-5-W1/145/2017/isprs-archives-XLII-5-W1-145-2017.pdf |
| Summary: | This paper explored the capability of Landsat-8 Operational Land Imager (OLI) for post classification change detection analysis and
mapping application because of its enhanced features from previous Landsat series. The OLI support vector machine (SVM)
classified data was successfully classified with regard to all six test classes (i.e., open land, residential land, forest, scrub land,
reservoir water and waterway). The OLI SVM-classified data for the four seasons (i.e. winter, spring, summer and autumn seasons)
were used for change detection analysis of six situations; situation1: winter to spring seasonal change detection resulted reduction in
reservoir water mapping and increases of scrub land; situation 2: winter to summer seasonal change detection resulted increase in
dam water mapping and increase of scrub land. winter to summer which resulted reduction in dam water mapping and increase of
vegetation; situation 3: winter to summer seasonal change detection resulted increase in increase in open land mapping; situation 4:
spring to summer seasonal change detection resulted reduction of vegetation and shallow water and increase of open land and
reservoir water; situation; 5: spring to autumn seasonal change detection resulted increase of reservoir water and open land; and
Situation 6: summer to autumn seasonal change detection resulted increase of open land. OLI SVM classified data found suitable for
post classification change detection analysis due to its resulted higher overall accuracy and kappa coefficient. |
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| ISSN: | 1682-1750 2194-9034 |