Using CORONA and Landsat Data for Evaluating and Mapping Long-term LULC Changes in Iraqi Kurdistan
| dc.contributor.author | Saleem, Ashty | |
| dc.contributor.supervisor | Dr Robert Corner | en_US |
| dc.date.accessioned | 2017-10-20T03:05:15Z | |
| dc.date.available | 2017-10-20T03:05:15Z | |
| dc.date.issued | 2017 | |
| dc.identifier.uri | http://hdl.handle.net/20.500.11937/57108 | |
| dc.description.abstract |
This research implements a new approach to classifying CORONA images. A case study demonstrated that information can be extracted from CORONA images using an automated classification process instead of on-screen manual digitising. This study, of the urban growth in Iraqi Kurdistan, has shown that the timeline of a change detection analysis can be extended to include the period before Landsat missions started in 1972. Urban growth was caused by economic growth and population increase. | en_US |
| dc.publisher | Curtin University | en_US |
| dc.title | Using CORONA and Landsat Data for Evaluating and Mapping Long-term LULC Changes in Iraqi Kurdistan | en_US |
| dc.type | Thesis | en_US |
| dcterms.educationLevel | PhD | en_US |
| curtin.department | Department of Spatial Sciences | en_US |
| curtin.accessStatus | Open access | en_US |
| curtin.faculty | Science and Engineering | en_US |