Monitoring of landslide and change detection using remote sensing in Pahang / Yashida Ahmad Fouzy
Regarding to the landslide which had been struck in Pahang during the monsoon season on 11 November 2015, some precautions should be made to avoid loss of human lives and property damage in the possibility area. The occurrence of landslide can be avoided by updated the changes of surface. It is impo...
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis |
| Language: | English |
| Published: |
2016
|
| Subjects: | |
| Online Access: | https://ir.uitm.edu.my/id/eprint/81070/1/81070.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| id |
my-uitm-ir.81070 |
|---|---|
| record_format |
uketd_dc |
| spelling |
my-uitm-ir.810702023-11-14T04:29:36Z Monitoring of landslide and change detection using remote sensing in Pahang / Yashida Ahmad Fouzy 2016 Ahmad Fouzy, Yashida Remote Sensing Landslides. Rockslides Regarding to the landslide which had been struck in Pahang during the monsoon season on 11 November 2015, some precautions should be made to avoid loss of human lives and property damage in the possibility area. The occurrence of landslide can be avoided by updated the changes of surface. It is important to detect the different moreover on the dramatic changes. Many changes detection was in range of 10 ten years, but in this study, the period of time is within 4 years. Therefore the objectives of the study is to investigate the spatial probability of landslide in two locations which are in Km 16 of Panching - Sg. Lembing and Km 52.4 of Lebuhraya Kuala Lumpur - Kuantan, Pahang within the year 2012 till 2016 by validate the factor of landslide and change detection by using remote sensing image. It is also to compare the change detection within these two location which are agriculture and forestry area. The change detection was analyzed by the SPOT 5 and SPOT 6 images with the application of powerful software, Erdas Imagine 2014. The analyze point was referred to the overall classification accuracy and Kappa quality. The overall classification accuracy is for all images are more than 50% while the Kappa quality is variety which is good, very good, excellent and poor. In some part of the study area, the changes is because of the raising standard of living such as replanting. It's a must to enhance and develop the economy, but it needs to be in coordinating and planning also. 2016 Thesis https://ir.uitm.edu.my/id/eprint/81070/ https://ir.uitm.edu.my/id/eprint/81070/1/81070.pdf text en public masters Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Ya'acob, Norsuzila |
| institution |
Universiti Teknologi MARA |
| collection |
UiTM Institutional Repository |
| language |
English |
| advisor |
Ya'acob, Norsuzila |
| topic |
Remote Sensing Remote Sensing |
| spellingShingle |
Remote Sensing Remote Sensing Ahmad Fouzy, Yashida Monitoring of landslide and change detection using remote sensing in Pahang / Yashida Ahmad Fouzy |
| description |
Regarding to the landslide which had been struck in Pahang during the monsoon season on 11 November 2015, some precautions should be made to avoid loss of human lives and property damage in the possibility area. The occurrence of landslide can be avoided by updated the changes of surface. It is important to detect the different moreover on the dramatic changes. Many changes detection was in range of 10 ten years, but in this study, the period of time is within 4 years. Therefore the objectives of the study is to investigate the spatial probability of landslide in two locations which are in Km 16 of Panching - Sg. Lembing and Km 52.4 of Lebuhraya Kuala Lumpur - Kuantan, Pahang within the year 2012 till 2016 by validate the factor of landslide and change detection by using remote sensing image. It is also to compare the change detection within these two location which are agriculture and forestry area. The change detection was analyzed by the SPOT 5 and SPOT 6 images with the application of powerful software, Erdas Imagine 2014. The analyze point was referred to the overall classification accuracy and Kappa quality. The overall classification accuracy is for all images are more than 50% while the Kappa quality is variety which is good, very good, excellent and poor. In some part of the study area, the changes is because of the raising standard of living such as replanting. It's a must to enhance and develop the economy, but it needs to be in coordinating and planning also. |
| format |
Thesis |
| qualification_level |
Master's degree |
| author |
Ahmad Fouzy, Yashida |
| author_facet |
Ahmad Fouzy, Yashida |
| author_sort |
Ahmad Fouzy, Yashida |
| title |
Monitoring of landslide and change detection using remote sensing in Pahang / Yashida Ahmad Fouzy |
| title_short |
Monitoring of landslide and change detection using remote sensing in Pahang / Yashida Ahmad Fouzy |
| title_full |
Monitoring of landslide and change detection using remote sensing in Pahang / Yashida Ahmad Fouzy |
| title_fullStr |
Monitoring of landslide and change detection using remote sensing in Pahang / Yashida Ahmad Fouzy |
| title_full_unstemmed |
Monitoring of landslide and change detection using remote sensing in Pahang / Yashida Ahmad Fouzy |
| title_sort |
monitoring of landslide and change detection using remote sensing in pahang / yashida ahmad fouzy |
| granting_institution |
Universiti Teknologi MARA (UiTM) |
| granting_department |
Faculty of Electrical Engineering |
| publishDate |
2016 |
| url |
https://ir.uitm.edu.my/id/eprint/81070/1/81070.pdf |
| _version_ |
1783736318950375424 |