[1]A Robust Method for Filling the Gaps in MODIS and VIIRS Land Surface Temperature Data. Rui Yao,Lunche Wang,Xin Huang,Liang Sun,Ruiqing Chen,Xiaojun Wu,Wei Zhang,Zigeng Niu. 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 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

[4]Evaluation Of Machine Learning Algorithms In Spatial Downscaling Of Modis Land Surface Temperature. Wu, Hua,Duan, Si-Bo,Li, Zhao-Liang,Wu, Hua,Li, Zhao-Liang,Li, Wan,Li, Wan,Ni, Li,Wu, Hua. 2019

[5]Quantification Of The Adjacency Effect On Measurements In The Thermal Infrared Region. Zheng, XP, Li, ZL, Zhang, X, Shang, GF. 2019

[6]Net Surface Shortwave Radiation Retrieval Using Random Forest Method With Modis/Aqua Data. Li, Zhao-Liang,Wu, Hua,Wu, Hua,Wu, Hua,Ying, Wangmin,Ying, Wangmin,Li, Zhao-Liang. 2019

[7]Alternative Physical Method for Retrieving Land Surface Temperatures from Hyperspectral Thermal Infrared Data: Application to IASI Observations. Xinyu Lan,Enyu Zhao,Pei Leng,Zhao-Liang Li,Jelila Labed,Francoise Nerry,Xia Zhang,Guofei Shang. 2021

[8]Estimate of Cloudy-Sky Surface Emissivity From Passive Microwave Satellite Data Using Machine Learning. Zhu X.-M., Song X.-N., Leng P., Li Z.-L., Li X.-T., Gao L., Guo D.. 2022

[9]An Improved Computational Geometry Method For Obtaining Accurate Remotely Sensed Products Via Convex Hulls With Dynamic Weights: A Case Study With Leaf Area Index. Chen, H, Wu, H, Li, ZL, Tu, JN. 2019

[10]Evapotranspiration Retrieval Under Different Aridity Conditions Over North American Grasslands. Liao, QY, Leng, P, Ren, C, Li, ZL, Gao, MF, Duan, SB, Zhang, X, Shang, GF. 2020

[11]Improving the quality of mandarin juice using a combination of filtration and standard homogenization. Jia M., Zhang C., Zhou J., Cheng C.-X., Ma Y.-Q.. 2022

[12]Estimating All-Weather Land Surface Temperature: A Method Considering Cloud Fraction and Energy Balance. Yu, Wenping,Deng, Xiangyi,Xiao, Yao,Huang, Yajun,Zhou, Wei,Liu, Xiangyang. 2025

[13]Influence Of Reconstruction Scale, Spatial R.esolution And Pixel Spatial R elationships On The Sub-Pixel Mapping Accuracy Of A Double-Calculated Spatial Attraction Model. Wu, SR, Ren, JQ, Chen, ZX, Jin, WJ, Liu, XR, Li, H, Pan, HZ, Guo, WQ. 2018

[14]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

[15]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

[16]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

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

[18]Land Surface Temperature Retrieval From Passive Microwave Satellite Observations: State-Of-The-Art And Future Directions. Duan, SB, Han, XJ, Huang, C, Li, ZL, Wu, H, Qian, YG, Gao, MF, Leng, P. 2020

[19]Influence Of Adjacency Effect On High-Spatial-Resolution Thermal Infrared Imagery: Implication For Radiative Transfer Simulation And Land Surface Temperature Retrieval. Duan, SB, Li, ZL, Gao, CX, Zhao, W, Wu, H, Qian, YG, Leng, P, Gao, MF. 2020

[20]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