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Spatially Continuous and High-Resolution Land Surface Temperature Product Generation: A review of reconstruction and spatiotemporal fusion techniques
Remotely sensed land surface temperature (LST) with spatial continuity and high spatiotemporal resolution (hereafter referred to as high resolution ) is a crucial parameter for studying the thermal environment and has important applications in many fields. However, adverse atmospheric conditions, se...
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Published in: | IEEE geoscience and remote sensing magazine 2021-09, Vol.9 (3), p.112-137 |
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container_end_page | 137 |
container_issue | 3 |
container_start_page | 112 |
container_title | IEEE geoscience and remote sensing magazine |
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creator | Wu, Penghai Yin, Zhixiang Zeng, Chao Duan, Si-Bo Gottsche, Frank-Michael Ma, Xiaoshuang Li, Xinghua Yang, Hui Shen, Huanfeng |
description | Remotely sensed land surface temperature (LST) with spatial continuity and high spatiotemporal resolution (hereafter referred to as high resolution ) is a crucial parameter for studying the thermal environment and has important applications in many fields. However, adverse atmospheric conditions, sensor malfunctioning, and scanning gaps between orbits frequently introduce spatial discontinuities into satellite-retrieved LST products. For a single sensor, a tradeoff occurs between temporal and spatial resolutions; therefore, it is almost impossible to obtain images in high resolution. |
doi_str_mv | 10.1109/MGRS.2021.3050782 |
format | article |
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issn | 2473-2397 2168-6831 |
language | eng |
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source | IEEE Electronic Library (IEL) Journals |
subjects | Clouds Land surface Land surface temperature Remote sensing Satellite broadcasting Spatial resolution Spatiotemporal phenomena |
title | Spatially Continuous and High-Resolution Land Surface Temperature Product Generation: A review of reconstruction and spatiotemporal fusion techniques |
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