Hyperspectral thermal infrared remote sensing: Current status and perspectives

Abstract

Hyperspectral thermal infrared data contains abundant long-wave spectral information, which can reveal radiation changes caused by the land-atmosphere coupling process more precisely and reflect the unique diagnostic characteristics of the thermal infrared spectrum. At the same time, the hyperspectral characteristics can also provide more reasonable assumptions and constraints for the ill-posed inversion of the key thermal infrared characteristic parameters. Therefore, the hyperspectral thermal infrared remote sensing has important research value and application prospect. Since its birth, hyperspectral thermal infrared remote sensing technology has developed rapidly on the basis of absorbing multispectral thermal infrared remote sensing technology, and has become an important research direction and breakthrough point of thermal infrared remote sensing research. However, there are some problems in the current hyperspectral thermal infrared remote sensing, such as lack of available data, traditional processing methods, limited inversion accuracies, and difficult implementation of the applications. To further clarify the research progress and existing challenges of hyperspectral thermal infrared remote sensing, based on the in-depth analysis of related literature, this paper sorts out the development process and hot spots of hyperspectral thermal infrared research, introduces the main hyperspectral thermal infrared sensors at home and abroad, and analyzes the current situation and problems of the atmospheric correction of hyperspectral atmospheric data, the separation of surface temperature and emissivity, and the integrated inversion of the key characteristic parameters of the land and atmosphere. Finally, the application of the relevant typical industries is summarized, and the future development direction of hyperspectral thermal infrared is prospected, so as to provide reference and help for the future research of hyperspectral thermal infrared remote sensing.