Climate Change Data Portal
| DOI | 10.1016/j.rse.2019.111518 |
| Automated water surface temperature retrieval from Landsat 8/TIRS | |
| Vanhellemont Q. | |
| 发表日期 | 2020 |
| ISSN | 00344257 |
| 卷号 | 237 |
| 英文摘要 | Satellite remote sensing of Land and Water Surface Temperature (L/WST) has many applications in studies of terrestrial and aquatic ecology. Retrieval of L/WST requires a well calibrated radiometer and an accurate atmospheric correction. In the present study, the performance of the Thermal InfraRed Sensor (TIRS) on board Landsat 8 is evaluated for the retrieval of L/WST. libRadtran is used to retrieve atmospheric correction parameters based on atmospheric profiles of relative humidity and temperature from three global atmospheric models. Performance of single band retrievals is compared to typical MODTRAN results from the Atmospheric Correction Parameter Calculator (ACPC) and a split-window approach. A multi-temporal land masking method using imagery from the Operational Land Imager (OLI) on board Landsat 8 is demonstrated, and is used to automatically classify imagery in the matchup dataset in three classes of cloud cover. Two sources of in situ data covering the Belgian Coastal Zone (BCZ) are used for validation of the L/WST product: (1) fixed locations in the Flemish Banks measurement network and (2) underway data from regular RV Belgica campaigns. In the present study the single band methods outperformed the split-window approach, and consistent retrievals are found for the MODTRAN and libRadtran simulations. Typical single band surface temperature retrievals in quasi cloud-free conditions have Root Mean Squared Differences (RMSD) of 0.7 K and 1 K for Bands 10 and 11 with low bias, depending on the method and atmospheric profile source. For imagery with scattered clouds, RMSD values increase to 1 K and 2 K respectively with an approximately 0.5 K cold bias, likely caused by cloud proximity. The calibration efforts combined into Collection 1 allows for accurate absolute surface temperature retrievals from B10 on Landsat 8/TIRS for homogeneous targets with known emissivity, such as liquid water. The method is adapted to global processing and can be used for Land Surface Temperature retrieval with a suitable source of emissivity data. © 2019 The Author |
| 英文关键词 | Atmospheric correction; Land; Landsat 8; libRadtran; Surface temperature; Thermal infrared; TIRS; Water |
| 语种 | 英语 |
| scopus关键词 | Atmospheric humidity; Classification (of information); Ecology; Electromagnetic wave emission; Infrared detectors; Infrared radiation; Land surface temperature; Landing; Remote sensing; Surface properties; Temperature measurement; Water; Atmospheric corrections; LANDSAT; libRadtran; Surface temperatures; Thermal infrared; TIRS; Atmospheric temperature; atmospheric correction; cloud cover; Landsat; radiometer; relative humidity; remote sensing; satellite imagery; satellite sensor; simulation; surface temperature |
| 来源期刊 | Remote Sensing of Environment
 |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/179558 |
| 作者单位 | Royal Belgian Institute of Natural Sciences, Operational Directorate Natural Environments, Vautierstraat 29, Brussels, 1000, Belgium |
| 推荐引用方式 GB/T 7714 | Vanhellemont Q.. Automated water surface temperature retrieval from Landsat 8/TIRS[J],2020,237. |
| APA | Vanhellemont Q..(2020).Automated water surface temperature retrieval from Landsat 8/TIRS.Remote Sensing of Environment,237. |
| MLA | Vanhellemont Q.."Automated water surface temperature retrieval from Landsat 8/TIRS".Remote Sensing of Environment 237(2020). |
| 条目包含的文件 | 条目无相关文件。 | |||||
| 个性服务 |
| 推荐该条目 |
| 保存到收藏夹 |
| 导出为Endnote文件 |
| 谷歌学术 |
| 谷歌学术中相似的文章 |
| [Vanhellemont Q.]的文章 |
| 百度学术 |
| 百度学术中相似的文章 |
| [Vanhellemont Q.]的文章 |
| 必应学术 |
| 必应学术中相似的文章 |
| [Vanhellemont Q.]的文章 |
| 相关权益政策 |
| 暂无数据 |
| 收藏/分享 |
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。
