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Publication
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| Research Title |
Improving the SLEUTH urban growth model via temporal consistency in urban input data |
| Date of Distribution |
22 August 2019 |
| Conference |
| Title of the Conference |
2019 Joint Urban Remote Sensing Event (JURSE) |
| Organiser |
JURSE 2019.org |
| Conference Place |
University of South Brittany, Vannes, France |
| Province/State |
Vannes, France |
| Conference Date |
22 May 2019 |
| To |
24 May 2019 |
| Proceeding Paper |
| Volume |
2019 |
| Issue |
978-1-7281-0009-8 |
| Page |
1-4 |
| Editors/edition/publisher |
IEEE |
| Abstract |
Changes in an urban growth model were investigated after processing temporal consistency evaluation of classified urban images. A consistency evaluation involving both temporal filtering and heuristic reasoning was then applied to sequence classification of urban maps for further improvement. The SLEUTH urban growth model was tested in regions of uncontrolled urban expansion. The SLEUTH was calibrated using data collected from the major urban area of Nakhon Ratchasima, Thailand in 1989, 1994, 1999 and 2005. The best value of Optimal SLEUTH Metric (OSM) was calculated for urban inputs with and without temporal consistency checking. OSM value higher than without, presenting a better explanation of urban growth in the study area. |
| Author |
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| Peer Review Status |
มีผู้ประเมินอิสระ |
| Level of Conference |
นานาชาติ |
| Type of Proceeding |
Full paper |
| Type of Presentation |
Poster |
| Part of thesis |
true |
| Presentation awarding |
false |
| Attach file |
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| Citation |
0
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Journal Publication
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