Enhanced Statistical Estimation of Air Temperature Incorporating Nighttime Light Data
文献类型：SCI/SSCI论文
| 作者 | Chen Y. H.; Quan, J. L.; Zhan, W. F.; Guo, Z. |
| 发表日期 | 2016 |
| 关键词 | air temperature land surface temperature remote sensing statistical model MODIS land-surface temperature urban heat-island daily solar-radiation modis lst data satellite data meteorological networks brightness temperature crop simulations time-series products |
| 英文摘要 | Near surface air temperature (Ta) is one of the most critical variables in climatology, hydrology, epidemiology, and environmental health. In situ measurements are not efficient for characterizing spatially heterogeneous Ta, while remote sensing is a powerful tool to break this limitation. This study proposes a mapping framework for daily mean Ta using an enhanced empirical regression method based on remote sensing data. It differs from previous studies in three aspects. First, nighttime light data is introduced as a predictor (besides land surface temperature, normalized difference vegetation index, impervious surface area, black sky albedo, normalized difference water index, elevation, and duration of daylight) considering the urbanization-induced Ta increase over a large area. Second, independent components are extracted using principal component analysis considering the correlations among the above predictors. Third, a composite sinusoidal coefficient regression is developed considering the dynamic Ta-predictor relationship. This method was performed at 333 weather stations in China during 2001-2012. Evaluation shows overall mean error of -0.01 K, root mean square error (RMSE) of 2.53 K, correlation coefficient (R-2) of 0.96, and average uncertainty of 0.21 K. Model inter-comparison shows that this method outperforms six additional empirical regressions that have not incorporated nighttime light data or considered predictor independence or coefficient dynamics (by 0.18-2.60 K in RMSE and 0.00-0.15 in R-2). |
| 出处 | Remote Sensing |
| 卷 | 8 |
| 期 | 8 |
| 语种 | 英语 |
| ISSN号 | 2072-4292 |
| DOI标识 | 10.3390/rs8080656 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/42885]  |
| 专题 | 地理科学与资源研究所_历年回溯文献 |
| 推荐引用方式 GB/T 7714 | Chen Y. H.,Quan, J. L.,Zhan, W. F.,et al. Enhanced Statistical Estimation of Air Temperature Incorporating Nighttime Light Data. 2016. |
入库方式： OAI收割
来源：地理科学与资源研究所
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