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Land Surface Temperature Retrieval from Passive Microwave Satellite Observations: State-of-the-Art and Future Directions

Authors :
Si-Bo Duan
Xiao-Jing Han
Cheng Huang
Zhao-Liang Li
Hua Wu
Yonggang Qian
Maofang Gao
Pei Leng
Source :
Remote Sensing, Vol 12, Iss 16, p 2573 (2020)
Publication Year :
2020
Publisher :
MDPI AG, 2020.

Abstract

Land surface temperature (LST) is an important variable in the physics of land–surface processes controlling the heat and water fluxes over the interface between the Earth’s surface and the atmosphere. Space-borne remote sensing provides the only feasible way for acquiring high-precision LST at temporal and spatial domain over the entire globe. Passive microwave (PMW) satellite observations have the capability to penetrate through clouds and can provide data under both clear and cloud conditions. Nonetheless, compared with thermal infrared data, PMW data suffer from lower spatial resolution and LST retrieval accuracy. Various methods for estimating LST from PMW satellite observations were proposed in the past few decades. This paper provides an extensive overview of these methods. We first present the theoretical basis for retrieving LST from PMW observations and then review the existing LST retrieval methods. These methods are mainly categorized into four types, i.e., empirical methods, semi-empirical methods, physically-based methods, and neural network methods. Advantages, limitations, and assumptions associated with each method are discussed. Prospects for future development to improve the performance of LST retrieval methods from PMW satellite observations are also recommended.

Details

Language :
English
ISSN :
20724292
Volume :
12
Issue :
16
Database :
Directory of Open Access Journals
Journal :
Remote Sensing
Publication Type :
Academic Journal
Accession number :
edsdoj.05fb044fcc7445628679b8c5219845d5
Document Type :
article
Full Text :
https://doi.org/10.3390/rs12162573