数字农科院2.0

Land Surface Temperature Retrieval From Passive Microwave Satellite Observations: State-Of-The-Art And Future Directions

文献类型： 外文期刊

作者： Duan, SB; Han, XJ; Huang, C; Li, ZL; Wu, H; Qian, YG; Gao, MF; Leng, P

作者机构：

关键词： Passive Microwave; Land Surface Temperature; Retrieval; Validation

期刊名称： REMOTE SENSING

ISSN：

年卷期： 2020 年 12 卷 16 期

页码：

收录情况： JCR（2021版） ; EI（2021版）

摘要： 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.

分类号：

  • 相关文献

[1]Validation of Landsat land surface temperature product in the conterminous United States using in situ measurements from SURFRAD, ARM, and NDBC sites. Duan Si-Bo,Li Zhao-Liang,Zhao Wei,Wu Penghai,Huang Cheng,Han Xiao-Jing,Gao Maofang,Leng Pei,Shang Guofei. 2021

[2]Estimation of evapotranspiration using all-weather land surface temperature and variational trends with warming temperatures for the River Source Region in Southwest China. Ma Y., Zhou J., Liu S., Zhang W., Zhang Y., Xu Z., Song L., Zhao H.. 2022

[3]A Split Window Algorithm For R.etrieving Land Surface Temperature F rom Fy-3D Mersi-2 Data. Wang, H, Mao, KB, Mu, FY, Shi, JC, Yang, J, Li, ZL, Qin, ZH. 2019

[4]A neural network method for monitoring snowstorm: A case study in southern China. Mao Kebiao,Xia Lang,Mao Kebiao,Ma Ying,Xia Lang,Mao Kebiao,Ma Ying,He Tianjue,Shen Xinyi,Sun Zhiwen,Zhou Guanhua. 2014

[5]A framework for the retrieval of all-weather land surface temperature at a high spatial resolution from polar-orbiting thermal infrared and passive microwave data. Duan, Si-Bo,Li, Zhao-Liang,Leng, Pei,Li, Zhao-Liang.

[6]RETRIEVAL OF LAND SURFACE TEMPERATURE AND SOIL MOISTURE FROM PASSIVE MICROWAVE OBSERVATIONS. Xiao Jing Han,Huajun Tang,Zhao Liang Li,Si Bo Duan,Pei Leng,Yongchang Wu,Xueyuan Chen. 2021

[7]Retrieval of cloudy land surface temperature from AMSR2 brightness temperature, precipitable water vapour and cloud liquid water. Huang, Cheng,Zhang, Shuting,Han, Wenjing,Feng, Xiyue,Duan, Si-Bo. 2023

[8]Method Development, Matrix Effect, And R.isk Assessment Of 49 M ulticlass Pesticides In Kiwifruit Using Liquid Chromatography Coupled To Tandem Mass Spectrometry. Kim, YA, Abd El-Aty, AM, Rahman, MM, Jeong, JH, Shin, HC, Wang, J, Shin, S, Shim, JH. 2018

[9]Comparison Of Six Methylation Methods F.or Fatty Acid Determination I n Yak Bone Using Gas Chromatography. Jia, W, Liu, WY, Mi, S, Zhang, CH, Li, X, Wu, T, Yu, QL. 2017

[10]Using A Process-Oriented Methodology To P.recisely Evaluate Temperature Suitability F or Potato Growth In China Using Gis. He, YB, Zhou, YF, Cai, WM, Wang, ZZ, Duan, DD, Luo, SJ, Chen, JZ. 2017

[11]Development And Validation Of A C.ompetitive Elisa Based On B acterium-Original Virus-Like Particles Of Serotype O Foot-And-Mouth Disease Virus For Detecting Serum Antibodies. Ran, XH, Yang, ZY, Bai, MY, Zhang, Y, Wen, XB, Guo, HC, Sun, SQ. 2019

[12]An Optimal Sampling Design For Land Surface Temperature Validation With Spatial And Diurnal Variations. Li, J, Ni, L, Li, ZL, Qian, YG, Wu, H. 2019

[13]Evaluation Of Seven Atmospheric Profiles From Reanalysis And Satellite-Derived Products: Implication For Single-Channel Land Surface Temperature Retrieval. Yang, JJ, Duan, SB, Zhang, XY, Wu, PH, Huang, C, Leng, P, Gao, MF. 2020

[14]An Uncertainty-Based Outlier Detection Method for Satellite-Derived Land Surface Temperature Validation Using In Situ Measurements. Si-Bo Duan, Zhao-Liang Li, Xiaoxiao Min, Penghai Wu, Ran Wei, Xiangyang Liu , Caixia Gao. 2025

[15]Improving Land Surface Temperature Retrieval From MODIS Data: Explicit Correction for Aerosol Optical Depth Variability. 段四波,,凌凯,,闵肖肖,,魏冉,,管永娟. 2025

[16]Linking Cloud Cover Patterns To Land Surface Temperature Change In Landsat 8 Images. Li, SF, Qin, ZH, Du, WH, Fan, JL, Zhao, SH, Rozenstein, O. 2019

[17]Mapping Regional Turbulent Heat Fluxes V.ia Variational Assimilation Of L and Surface Temperature Data From Polar Orbiting Satellites. Xu, TR, He, XL, Bateni, SM, Auligne, T, Liu, SM, Xu, ZW, Zhou, J, Mao, KB. 2019

[18]Reconstructing Daily Clear-Sky Land Surface T.emperature For Cloudy Regions F rom Modis Data. Sun, L, Chen, ZX, Gao, F, Anderson, M, Song, LS, Wang, LM, Hu, B, Yang, Y. 2017

[19]Estimation Of Land Surface Temperature F.rom Unmanned Aerial Vehicle L oaded Thermal Imager Data. Si, M, Tang, BH, Li, ZL. 2018

[20]A Method for Downscaling Satellite Soil Moisture Based on Land Surface Temperature and Net Surface Shortwave Radiation. Yawei Wang,Pei Leng,Jianwei Ma,Jian Peng. 2021

作者其他论文 更多>>