Knowledge Resource Center for Ecological Environment in Arid Area
| DOI | 10.1007/s10661-019-7771-y |
| Estimation of monthly surface air temperatures from MODIS LST time series data: application to the deserts in the Sultanate of Oman | |
| Hereher, Mohamed E.1,2 | |
| 通讯作者 | Hereher, Mohamed E. |
| 来源期刊 | ENVIRONMENTAL MONITORING AND ASSESSMENT
 |
| ISSN | 0167-6369 |
| EISSN | 1573-2959 |
| 出版年 | 2019 |
| 卷号 | 191期号:9 |
| 英文摘要 | Air temperature records in remote deserts and inaccessible mountainous regions rely upon data acquired from the nearest meteorological stations, which could be at tens of kilometers apart. The present study provides a reliable approach to extract air temperatures for any distant region using thermal data of satellite images. The study postulates that if there is a strong correlation between land surface temperatures (LST) from satellite images and air temperature records from ground meteorological stations, hence, air temperatures (day/night) could be directly extrapolated from regression equations with high confidence results. Data utilized in this study were obtained from 12 meteorological stations settled and distributed upon different physiographic units of Oman. Satellite images were acquired from the Moderate Resolution Imaging Spectroradiometer (MODIS) LST product. Regression analysis of max and min air temperatures from weather stations was conducted versus day and night LST from MODIS Aqua LST (MYD11A2) images. Results showed that the regression coefficients for the selected locations are strong for the night/min (R-2 = 0.81-0.94) and day/max (R-2 = 0.72-0.92) correlations of the 12 stations. The root mean square errors (RMSE) of the statistical models are 0.97 and 1.98 for the night and day temperatures, respectively. Moreover, the association between each pair of the data is significant at the 99% level (p < 0.01). As MODIS data cover large geographic extents, it was possible to produce national diurnal and annual air temperature maps of accurate records with considering the variation of the physiographic setting. |
| 英文关键词 | Oman Air temperatures MODIS LST |
| 类型 | Article |
| 语种 | 英语 |
| 国家 | Oman ; Egypt |
| 收录类别 | SCI-E |
| WOS记录号 | WOS:000483545100002 |
| WOS关键词 | DAILY MAXIMUM ; VARIABILITY ; POLLUTION |
| WOS类目 | Environmental Sciences |
| WOS研究方向 | Environmental Sciences & Ecology |
| 资源类型 | 期刊论文 |
| 条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/215484 |
| 作者单位 | 1.Sultan Qaboos Univ, Coll Arts & Social Sci, Geog Dept, Muscat, Oman; 2.Damietta Univ, Fac Sci, Dept Environm Sci, New Damietta, Egypt |
| 推荐引用方式 GB/T 7714 | Hereher, Mohamed E.. Estimation of monthly surface air temperatures from MODIS LST time series data: application to the deserts in the Sultanate of Oman[J],2019,191(9). |
| APA | Hereher, Mohamed E..(2019).Estimation of monthly surface air temperatures from MODIS LST time series data: application to the deserts in the Sultanate of Oman.ENVIRONMENTAL MONITORING AND ASSESSMENT,191(9). |
| MLA | Hereher, Mohamed E.."Estimation of monthly surface air temperatures from MODIS LST time series data: application to the deserts in the Sultanate of Oman".ENVIRONMENTAL MONITORING AND ASSESSMENT 191.9(2019). |
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