TY  - SER
AU  - Nooch Soodcharoen
AU  - Virdis,Salvatore G.P.
AU  - Tripathi,Nitin Kumar
AU  - Shrestha,Sangam
AU  - Padedda,Bachisio Mario
ED  - Royal Thai Government Fellowship,
TI  - Multi-resolution remote sensing of water surface temperature and correlation with air temperature: a case study of Sardinia Island (Western Mediterranean)
T2  - Thesis
PY  - 2019///
CY  - Pathum Thani, Thailand
PB  - Asian Institute of Technology
KW  - Water temperature
KW  - Sardinia Island
KW  - Remote sensing images
KW  - Temperature
KW  - Remote sensing
KW  - Atmospheric temperature
N1  - 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
N2  - 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.
ER  -