来自哨兵-3A 和 3B 号海面和陆面温度辐射计的业务和气候陆面温度产品

IF 4.2 2区 地球科学 Q2 ENVIRONMENTAL SCIENCES Remote Sensing Pub Date : 2024-09-13 DOI:10.3390/rs16183403
Darren Ghent, Jasdeep Singh Anand, Karen Veal, John Remedios
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引用次数: 0

摘要

地表温度(LST)是我们了解地球表面辐射能量预算不可或缺的一部分,因为它提供了热力学温度的最佳近似值,而热力学温度驱动着从地表到大气的出射长波通量。自 2017 年 7 月 5 日起,"哨兵-3A "任务提供了运行中的 LST 产品,自 2018 年 11 月 17 日起,"哨兵-3B "任务提供了相应的产品。在此,我们首次发表论文,介绍哨兵-3A 和哨兵-3B(分别为 SLSTR-A 和 SLSTR-B)上搭载的海陆表面温度辐射计(SLSTR)仪器的正式产品,包括算法。我们评估了2018年至2021年陆地表面温度气候变化倡议(LST_cci)产品和哥白尼运行LST产品(SL_2_LST)的质量。评估采用的形式是根据 11 个完善的原地观测站的地表温度观测结果进行验证。在验证中,SLSTR-A 的 LST_cci 产品与原地测量值的日间和夜间平均绝对差值分别为 0.77 千帕和 0.50 千帕,SLSTR-B 的日间和夜间平均绝对差值分别为 0.91 千帕和 0.54 千帕。这些数据比 SL_2_LST 产品的相应数据有所改进,SLSTR-A 的相应数据分别为 1.45 K(白天)和 0.76 K(夜间),SLSTR-B 的相应数据分别为 1.29 K(白天)和 0.77 K(夜间)。这一改进的主要影响因素包括用于生成检索系数的参考状态数据库升级、生物群落和部分植被的辅助数据分层提高以及云掩蔽增强。
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The Operational and Climate Land Surface Temperature Products from the Sea and Land Surface Temperature Radiometers on Sentinel-3A and 3B
Land Surface Temperature (LST) is integral to our understanding of the radiative energy budget of the Earth’s surface since it provides the best approximation to the thermodynamic temperature that drives the outgoing longwave flux from surface to atmosphere. Since 5 July 2017, an operational LST product has been available from the Sentinel-3A mission, with the corresponding product being available from Sentinel-3B since 17 November 2018. Here, we present the first paper describing formal products, including algorithms, for the Sea and Land Surface Temperature Radiometer (SLSTR) instruments onboard Sentinel-3A and 3B (SLSTR-A and SLSTR-B, respectively). We evaluate the quality of both the Land Surface Temperature Climate Change Initiative (LST_cci) product and the Copernicus operational LST product (SL_2_LST) for the years 2018 to 2021. The evaluation takes the form of a validation against ground-based observations of LST across eleven well-established in situ stations. For the validation, the mean absolute daytime and night-time difference against the in situ measurements for the LST_cci product is 0.77 K and 0.50 K, respectively, for SLSTR-A, and 0.91 K and 0.54 K, respectively, for SLSTR-B. These are an improvement on the corresponding statistics for the SL_2_LST product, which are 1.45 K (daytime) and 0.76 (night-time) for SLSTR-A, and 1.29 K (daytime) and 0.77 (night-time) for SLSTR-B. The key influencing factors in this improvement include an upgraded database of reference states for the generation of retrieval coefficients, higher stratification of the auxiliary data for the biome and fractional vegetation, and enhanced cloud masking.
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来源期刊
Remote Sensing
Remote Sensing REMOTE SENSING-
CiteScore
8.30
自引率
24.00%
发文量
5435
审稿时长
20.66 days
期刊介绍: Remote Sensing (ISSN 2072-4292) publishes regular research papers, reviews, letters and communications covering all aspects of the remote sensing process, from instrument design and signal processing to the retrieval of geophysical parameters and their application in geosciences. Our aim is to encourage scientists to publish experimental, theoretical and computational results in as much detail as possible so that results can be easily reproduced. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced.
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