| Title |
Development of a Grid-Based Daily Land Surface Temperature Prediction Model considering the Effect of Mean Air Temperature and Vegetation |
| Authors |
최지현 ( Chi Hyun Choi ) ; 최대규 ( Dae Gyu Choi ) ; 최현일 ( Hyun Il Choi ) ; 김경헌 ( Kyung Hyun Kim ) ; 김상단 ( Sang Dan Kim ) |
| Keywords |
Air temperature; Ecohydrology; Land surface temperature; Normalized difference vegetation index |
| Abstract |
Land surface temperature in ecohydrology is a variable that links surface structure to soil processes and yet its spatial prediction across landscapes with variable surface structure is poorly understood. And there are an insufficient number of soil temperature monitoring stations. In this study, a grid-based land surface temperature prediction model is proposed. Target sites are Andong and Namgang dam region. The proposed model is run in the following way. At first, geo-referenced site specific air temperatures are estimated using a kriging technique from data collected from 60 point weather stations. Then surface soil temperature is computed from the estimated geo-referenced site-specific air temperature and normalized difference vegetation index. After the model is calibrated with data collected from observed remote-sensed soil temperature, a soil temperature map is prepared based on the predictions of the model for each geo-referenced site. The daily and monthly simulated soil temperature shows that the proposed model is useful for reproducing observed soil temperature. Soil temperatures at 30 and 50 cm of soil depth are also well simulated. |