AI SearchMulti-resolution remote sensing of water surface temperature and correlation with air temperature : a case study of Sardinia Island (Western Mediterranean)
Call Number: AIT Thesis no.RS-19-02 Material type:
SeriesSeries: Asian Institute of Technology. Thesis ; no. RS-19-02Publication details: Pathum Thani, Thailand : Asian Institute of Technology, 2019Description: 49 leaves : illSubject(s): Dissertation note: Thesis (M. Sc.) - Asian Institute of Technology, 2019 Summary: Water is an imperative natural resource. Water temperature getting warmer can lead to the excessive growing of the phytoplanktons in lakes and currently, there is a drop of water quality due to occurrence of eutrophication to the lakes in Sardinia Island, observed widely. Thus, it was considered essential to monitor the water quality of lakes in Sardinia. This study used multi-source and multi-technique approach of Remote Sensing to accomplish the Water Surface Temperature (WST) database to support studying and monitoring the environment of water. Also, this study demonstrated the correlation among the water and air temperature which were obtained from Global Circulation Model (GCM). A strong correlation between estimated WST from Landsat and observed WST was found through this study, along with the observation that WST from MODIS have poor accuracy when compared with observed WST whereas the MODIS accuracy was improved when WST of MODIS was done along with resealing. Moreover, WST of MODIS and estimated WST from Landsat are correlated.
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Asian Institute of Technology Library AIT Publications | AIT Thesis no.RS-19-02 (Browse shelf(Opens below)) | 2 | Available | 30050211019616 |
A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Remote Sensing and Geographic Information System
Thesis (M. Sc.) - Asian Institute of Technology, 2019
Water is an imperative natural resource. Water temperature getting warmer can lead to the excessive growing of the phytoplanktons in lakes and currently, there is a drop of water quality due to occurrence of eutrophication to the lakes in Sardinia Island, observed widely. Thus, it was considered essential to monitor the water quality of lakes in Sardinia. This study used multi-source and multi-technique approach of Remote Sensing to accomplish the Water Surface Temperature (WST) database to support studying and monitoring the environment of water. Also, this study demonstrated the correlation among the water and air temperature which were obtained from Global Circulation Model (GCM). A strong correlation between estimated WST from Landsat and observed WST was found through this study, along with the observation that WST from MODIS have poor accuracy when compared with observed WST whereas the MODIS accuracy was improved when WST of MODIS was done along with resealing. Moreover, WST of MODIS and estimated WST from Landsat are correlated.
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