Litcius/Paper detail

Spatially Continuous and High-Resolution Land Surface Temperature Product Generation: A review of reconstruction and spatiotemporal fusion techniques

Penghai Wu, Zhixiang Yin, Chao Zeng, Si-Bo Duan, Frank-Michael Gottsche, Xiaoshuang Ma, Xinghua Li, Hui Yang, Huanfeng Shen

2021IEEE Geoscience and Remote Sensing Magazine137 citationsDOIOpen Access PDF

Abstract

Remotely sensed land surface temperature (LST) with spatial continuity and high spatiotemporal resolution (hereafter referred to as <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">high resolution</i> ) 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.

Topics & Concepts

Classification of discontinuitiesRemote sensingImage resolutionFusionThermalSurface (topology)Sensor fusionTemporal resolutionEnvironmental scienceProduct (mathematics)High resolutionComputer scienceImage fusionSatelliteGeologyMeteorologyFlat surfaceAtmospheric modelAtmospheric opticsLidarSpatiotemporal patternComputer visionAtmosphere (unit)Urban Heat Island MitigationSoil Moisture and Remote SensingGeothermal Energy Systems and Applications