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首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >Disaggregation of remotely sensed land surface temperature: Literature survey, taxonomy, issues, and caveats
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Disaggregation of remotely sensed land surface temperature: Literature survey, taxonomy, issues, and caveats

机译：遥感地表温度分类：文献调查，分类学，问题和警告

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Land surface temperature (LST) is an important parameter highly responsive to surface energy fluxes and has become valuable to many disciplines. Prior to the advent of satellites, it was difficult to obtain LSTs over extensive areas. Even today, as a result of the resolution tradeoffs involved in using satellite data, it is difficult, and sometimes impossible, to acquire satellite LSTs with high spatial and temporal resolutions. This low resolution results in a thermal mixture effect, where the resolution cells are larger than the thermal elements.The disaggregation of remotely sensed land surface temperature (DLST), a research field that focuses on decomposing pixel-based temperatures, has been critical in related fields such as the surface flux downscaling, forest fire detection, and urban heat island monitoring and it is now growing rapidly as one of the thriving subbranches of thermal remote sensing. Various methods have been independently proposed for DLST in recent decades. However, this field is suffering a disorderly development. We thus critically investigate the interdisciplinary literature on DLST and identify the terms used to denote DLST in different disciplines. Two subtopics of DLST, thermal sharpening (TSP) and temperature unmixing (TUM), are identified as a dual pair of DLST because of their parallel areas of interest. Previous studies are classified into different categories in chronological and taxonomic order. We formulate definitions of TSP, TUM, and DLST, and we then examine how TSP and TUM are connected to related fields in remote sensing. Based on the literature, we present the key issues related to DLST, the recommended DLST methods in different applications, and the caveats that must be considered in future work, including (1) four predetermined assumptions (i.e., additivity, separability, connectivity, and convertibility), (2) the utilization of diurnal thermal observations, and (3) the complication of aggregation. This overview will provide a generalization of TSP and TUM, promote the understanding of DLST, and guide future research.
机译：地表温度（LST）是高度响应表面能通量的重要参数，并且对许多学科都变得有价值。在卫星问世之前，很难在广大地区获得LST。即使在今天，由于使用卫星数据所涉及的分辨率之间的权衡，很难，有时甚至不可能获得具有高时空分辨率的卫星LST。这种低分辨率会产生热混合效应，其中分辨率单元大于热敏元件。遥感陆地表面温度（DLST）的分解是一个重要的研究领域，该领域致力于分解基于像素的温度。地表通量缩减，森林火灾检测和城市热岛监测等领域，作为热遥感兴旺分支机构之一，它现在正在迅速增长。近几十年来，针对DLST的各种方法已经独立提出。但是，该领域正在无序发展。因此，我们批判性地研究了关于DLST的跨学科文献，并确定了在不同学科中用于表示DLST的术语。 DLST的两个子主题，热锐化（TSP）和温度解混（TUM），由于其平行的关注区域而被标识为DLST的双对。以前的研究按时间和分类顺序分为不同的类别。我们制定了TSP，TUM和DLST的定义，然后研究了TSP和TUM如何连接到遥感中的相关领域。根据文献，我们介绍了与DLST相关的关键问题，在不同应用中推荐的DLST方法以及在未来的工作中必须考虑的注意事项，包括（1）四个预定假设（即加性，可分离性，连通性和可转换性），（2）利用昼夜热观测，以及（3）聚合的复杂性。本概述将提供TSP和TUM的概括，增进对DLST的理解，并指导未来的研究。

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