Land use land cover changes and their relationship with land surface temperature and urban heat island in Preah Sihanouk Province, Cambodia using google earth engine | |
| Author | Seng, Bunthoeun |
| Call Number | AIT Thesis no.RS-22-07 |
| Subject(s) | Land use--Cambodia--Remote sensing Land use mapping--Cambodia Google Earth |
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Remote Sensing and Geographic Information Systems |
| Publisher | Asian Institute of Technology |
| Abstract | The main objective of this research is to explore the dynamic of LULC and the change in time and space of LST in Preah Sihanouk province, one of Cambodia’s coastal province over the past 2 decades. In addition, correlation between LST and LULC and the Urban Heat Island were also determined. Landsat imageries were used for analyzing the LULC change and magnitude. The Landsat collection is capable to offer LST estimations at a high spatial resolution. The result show that forest class experienced the most negative change, approximately 53,500 ha of forest was lost. Most of the forest lose was converted into cropland palm and built-up area. However, forest is still the majority LULC type in this study region within the study period. Mean, Max, and Min LST values were greater in the dry season than rainy season. The maximum LST value in dry season is observed to have the steady increasing trend throughout the research period. This phenomenon also occurred for rainy season. The mean LST, on the other hand, had a fluctuated trend. The peak of mean LST was seen in dry season of 2021 which had the value to 30.78 degree Celsius (°C), whereas the least LST was 24.30 °C in rainy season of 2013. For the minimum LST, it had the parallel trend between dry and rainy season except in 2013 as the minimum LST dropped to 7.5 °C in rainy season. The correlation of LST and LULC were identified in this study by looking at the LST variation in each LULC type for all the study period. Additionally, correlation between LST and NDVI were analyzed. The result show that LST were significantly rose up in bare-land and the built-up area. The scatter plot diagrams show that between LST and NDVI from 2000 to 2021, linear trends with low to extremely low coefficients of determination (R2) were observed. Meaning that the increment of LST in Preah Sihanouk province is not significantly caused by changes of NDVI but there are other factors associated. On the other hand, the UHI intensity was measured by UTFVI. It suggests that large percentage of the forest region has not received any intensity of UHI. In contrast, in addition to urban area; cropland, bare-land, and palm all have the highest intensity. This phenomenon maybe influenced by the sea breeze and the ocean heat content. |
| Year | 2022 |
| Type | Thesis |
| School | School of Engineering and Technology |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Remote Sensing and Geographic Information Systems (RS) |
| Chairperson(s) | Tripathi, Nitin Kumar |
| Examination Committee(s) | Sarawut Ninsawat;Hossain, Md. Zakir |
| Scholarship Donor(s) | Loom Nam Khong Pijai (GMS) Scholarship |
| Degree | Thesis (M.Sc.) - Asian Institute of Technology, 2022 |