Publications

Lazhu; Yang, K; Qin, J; Hou, JZ; Lei, YN; Wang, JB; Huang, AN; Chen, YY; Ding, BH; Li, X (2022). A Strict Validation of MODIS Lake Surface Water Temperature on the Tibetan Plateau. REMOTE SENSING, 14(21), 5454.

Abstract
Lake surface water temperature (LSWT) is a key parameter in understanding the variability of lake thermal conditions and evaporation. The MODIS-derived LSWT is widely used as a reference for lake model validations and process studies in data-scarce regions. In this study, the accuracy of the MODIS LSWT was examined on the Tibetan Plateau (TP). In-situ subsurface temperatures were collected at five large lakes. Although the observation period covers from summer to winter, only the observations during the lake turnover period (from October to freeze-up), when the lakes are well mixed, can be used as ground truth. The MODIS LSWT agrees well with the selected in-situ data for the five large lakes, with root mean square error (RMSE) < 1 degrees C at nighttime and <2 degrees C in the daytime, indicating a high accuracy of the MODIS LSWT data. Before the turnover period, the water is thermally stratified and the surface water is warmer than the subsurface water, and thus the in-situ subsurface water temperature data and the MODIS LSWT have different representativeness. In this case, if the observations are used as a validation basis, the MODIS errors could be much magnified. This in turn indicates the importance of period selection for the validation.

DOI:
10.3390/rs14215454

ISSN:
2072-4292