Publications

Christopher Uejio; Jane Gilbert; Yoonjung Ahn; Ludovica Martella; Leiqiu Hu; Julia Marturano, Rapidly Developing a Community and Evidence-Based Heat Action Plan, Bulletin of the American Meteorological Society, 

Cui, Y., Xiao, S., Hu, L., Zhao, Y., Li, Q., Mixed convection in an idealized coastal urban environment with momentum and thermal surface heterogeneities, Journal of Geophysical Research-Atmospheres, 129(4), e2023JD039502

Lu, Y., Yu, Z., Albertson, J., Chen, H., Hu, L., Pendergrass, A., Chen, X., Li, Q., 2023, Understanding the influence of urban form on the spatial pattern of precipitation, Earth Future, 12, e2023EF003846.

Wang, D., Hu, L., Chen, Y., Voogt, J., Zhou, J., Quan, J., Kang, Z., Simulation of urban thermal anisotropy at remote sensing pixel scales: Evaluating three schemes using GUTA-T over Toulouse city, Remote Sensing of Environment, 300, 113893. 

Du, H.; Zhan, W; Voogt J.; Bechtel, B.; Chakraborty, TC; Liu, Z.; Hu, L.; Wang, Z.; et al: Contrasting Trends and Drivers of Global Surface and Canopy Urban Heat Islands, Geophysical Research Letters, e2023GL104661, 

Long Li; Wenfeng Zhan; Leiqiu Hu; TC Chakraborty; Zhihua Wang; Peng Fu; Dazhong Wang; Weilin Liao; Fan Huang; Huyan Fu; Jiufeng Li; Zihan Liu; Huilin Du; Shasha Wang. Divergent urbanization-induced impacts on global surface urban heat island trends since 1980s, Remote Sensing of Environment,113650 

Liang, L., Daniels, J., Phillips, R., South J., Hu, L., Data Fusion for Assessing Intra-Urban Air Pollution Disparities: Integrating Low-Cost Sensor Monitoring, Satellite Mapping, and Deep Learning Modeling, Environmental Pollution. 331, 121832  

Vo, T., Hu, L.∗, Lu, L., Li, Q., Chen, S., Urban Effects on Local Cloud Patterns. Proceedings of the National Academy of Sciences of the United States of America, 120 (21) e2216765120  

Wang, D., Chen, Y., Hu, L., Voogt, J., & He, X., Satellite-based daytime urban thermal anisotropy: A comparison of 25 global cities, Remote Sensing of Environments, 283, 10.1016/j.rse.2022.113312

Wen, J., Fisher, J., Parazoo, N., Hu, L, Litvak, M., & Sun, Y., Resolve the continuous diurnal cycle of high-resolution ECOSTRESS Evapotranspiration and Land Surface Temperature, Water Resource Research. 10.1029/2022WR032227

Wang, D., Chen, Y., Hu, L., & Voogt, J. Urban Thermal Anisotropy: A Comparison Among Multi-Source Observational and Modeling Approaches at Different Time Scales, IEEE Trans. on Geoscience and Remote Sensing, 10.1109/TGRS.2022.3171285

Liu Z., Lai J., Zhan W., Bechtel B., Voogt J., Quan J., Hu L., Fu P. Huang F., Li L., Li J., Hong F. 2021. Significantly Reduced Urban Heat Islands by COVID-9 Lockdown, Geophysical Research Letters, 10.1029/2021GL096842

Fu, P., Hu, L., Ainsworth, E. A., Tan, X., Myint, S.W., Zhan, W., Blakely, B., Bernacchi, C. J., Enhanced drought resistance of vegetation growth in cities due to urban heat, CO2 domes and O3 troughs, Environmental Research Letters, 10.1088/1748-9326/ac3b17

Hong, F., Zhan, W., G ̈ottsche, F. M., Lai, J., Liu, Z., Hu, L., Fu, P., Huang, F., Li, J., Li, H., Wu, H., A simple yet robust framework to estimate accurate daily mean land surface temperature from thermal observations of tandem polar orbiters. Remote Sensing of Environments, 264,112612, 10.1016/j.rse.2021.112612

Browne, C. Matteson D., McBride, L., Hu, L., Liu, Y., Sun, Y., Wen, J., Barrett, C. B., Multivariate random forest prediction of poverty and malnutrition prevalence, PLOS ONE,  10.1371/journal.pone.0255519

McBride L., Barrett C., Browne, C., Hu, L., Liu, Y., Matteson D., Sun. Y, & Wen, J. Predicting poverty and malnutrition for targeting, mapping, monitoring, and early warning, Applied Economic Perspectives and Policy, 10.1002/aepp.13175 (Link)

Cui, Y., Hu, L., Wang, Z., Li, Q., Urban nocturnal cooling mediated by bluespace. Theoretical and Applied Climatology，·       146, 277–292，10.1007/s00704-021-03727-5

Jiang, L., Zhan, W., Hu, L., Huang, F., Hong, F., Liu, Z., Lai, J.,Wang, C., Assessment of Different Kernel-driven Models for Daytime Urban Thermal Anisotropy Simulation, Remote Sensing of Environment,263(15), 112562.(Link)

Yu, Z., Hu, L., Sun, T., Albertson, J., Li, Q., Impact of Heat Storage on Remote-Sensing Based Quantification of Anthropogenic Heat in Urban Environments, Remote Sensing of Environment, 262，112520 (Link)

Vo, T., Hu, L.∗: Diurnal Evolution of Urban Tree Temperature at a City Scale, Scientific Reports, https://doi.org/10.1038/s41598-021-89972-0(Link)

Hu, L.*, A Global Assessment of Coastal Marine Heatwaves and Their Relation with Coastal Urban Thermal Changes, Geophysical Research Letters, 10.1029/2021GL093260 (Link)

Wang, D., Chen, Y., Hu, L., Voogt, J., Gastellu-Etchegorry, J., Krayenhoff, E., Modeling the angular effect of MODIS LST in urban areas: a case study of Toulouse, France, Remote Sensing of Environment, 10.1016/j.rse.2021.112361. (Link)

Lai, J. ; Zhan, W.; Voogt, J.; Quan, J.; Huang, F.; Zhou, J; Bechtel, B.; Hu, L.; Wang, K.; Cao, C.; Lee, X.(2020). Meteorological controls on daily variations of nighttime surface urban heat islands. Remote Sensing of Environment, 112198. doi:10.1016/j.rse.2020.112198

Hu, L∗, Sun, Y., Collins, G., Fu, P., Improved Estimates of Monthly Land Surface Temperature from MODIS using a Diurnal Temperature Cycle (DTC) Model, ISPRS Journal of Photogrammetry and Remote Sensing, 168, 131-140. https://doi.org/10.1016/j.isprsjprs.2020.08.007

Huang, F, Zhan, W., Wang, Z.,Voogt, J., Hu, L., Quan, J., Liu, C., Zhang, N., & Lai, J., Satellite identification of atmospheric-surface-subsurface urban heat islands under clear sky, Remote Sensing of Environment, 250, 112039. https://doi.org/10.1016/j.rse.2020.112039

Hu, L.+* & Li, Q.+, Greenspace, bluespace, and their interactive influence on urban thermal environments. Environ. Res. Lett. 15, 034041 https://iopscience.iop.org/article/10.1088/1748-9326/ab6c30

Yang, J.+*, Hu, L.+*, & Wang, C.,: Population dynamics modify urban residents’ exposure to extreme temperatures across the United States. Science Advances: https://advances.sciencemag.org/content/5/12/eaay3452

Shao, Z., Cai, J., Fu, P., Hu, L., Liu, T., Deep learning-based fusion of Landsat-8 and Sentinel-2 images for a harmonized surface reflectance product.  Remote Sensing of Environment, 235, 111425, 10.1016/j.rse.2019.111425 

Colins, G. Q., Heaton, M., & Hu, L.: Physically Constrained Spatiotemporal Modeling: Generating Clear-Sky Constructions of Land Surface Temperature from Sparse, Remotely Sensed Satellite Data. Journal of Applied Statistics, doi.org/10.1080/02664763.2019.1681384.

Deng, C., Zhang, B., Cheng, L., Hu, L., & Chen, F.: Vegetation dynamics and their effects on surface water-energy balance over the Three-North Region of China. Agricultural and Forest Meteorology, 275, 79-90, https://doi.org/10.1016/j.agrformet.2019.05.012

Hu, L.*, & Wendel. J. : Analysis of urban surface morphologic effects on diurnal thermal directional anisotropy, Journal of Photogrammetry and Remote Sensing, 148, 1-12, https://doi.org/10.1016/j.isprsjprs.2018.12.004

Hu,L. *, Wilhelmi, O., & Uejio, C.:Heat exposure in cities: combining the dynamics of temperature and population. Science of the Total Environment, 655, 1-12, https://doi.org/10.1016/j.scitotenv.2018.11.028

Lai, J., Huang, F., Zhan, W.,Quan, J., Hu, L., Gao, L., Ju, W.:Does Quality Control Matter? Surface Urban Heat Island Intensity Variations estimated by Satellite-derived Land Surface Temperature Products. Journal of Photogrammetry and Remote Sensing, 139, 212-227, https://doi.org/10.1016/j.isprsjprs.2018.03.012

Liu, W., Feddema, J., L. Hu, Zung, A., Brunsell, N., Seasonal and Diurnal Characteristics of Land Surface Temperature and Major Explanatory Factors in Harris County, Texas, Sustainability,  https://www.mdpi.com/2071-1050/9/12/2324/

Collins, G. Q., Heaton, M. J., Hu, L., Monaghan, A. J.: Spatio-temporal, Multi-resolution Modeling to Infill MissingAreal Data and Enhance the Temporal Frequency of Infrared Satellite Images. Environmetrics,  https://doi.org/10.1002/env.2466

Dickinson, K.L., Monaghan, A.J., Rivera, I.J., Hu, L., Kanyomse, E., Alirigia, R., Adoctor, J., Kaspar, R.E., Oduro, A.R., & Wiedinmyer, C., Changing weather and climate in Northern Ghana: comparison of local perceptions with meteorological and land cover data. Reg. Environ. Chang. 1–14. 10.1007/s10113-016-1082-4

Huang F., Zhan W., Voogt J., Hu L., Wang Z., Quan J., Ju W., & Guo Z., Temporal Upscaling of Surface Urban Heat Island by Incorporating an Annual Temperature Cycle Model: A Tale of Two Cities. Remote Sensing of Environment. 186, 1-12. https://doi.org/10.1016/j.rse.2016.08.009

Hu, L.*, Monaghan, A., Voogt, J., & Barlage, M., A first satellite-based assessment of urban thermal anisotropy. Remote Sensing of Environment. 181, 111-121. https://doi.org/10.1016/j.rse.2016.03.043

Hu, L.*, Monaghan, A. J., & Brunsell, N. A., Investigation of urban air temperature and humidity patterns during extreme heat conditions using satellite-derived data. Journal of Applied Meteorology and Climatology, 54, 2245-2259. https://doi.org/10.1175/JAMC-D-15-0051.1

Hu, L.*, & Brunsell, N. A.,  A new perspective to assess the urban heat island through remotely sensed atmospheric profiles. Remote Sensing of Environment, 158, 393-406. https://doi.org/10.1016/j.rse.2014.10.022

Oleson, K. W., Monaghan, A., Wilhelmi, O., Barlage, M., Brunsell, N., Feddema, J., Hu, L., & Steinho, D. F., Interactions between urbanization, heat stress, and climate change. Climatic Change, 129(3-4), 525-541. 10.1007/s10584-013-0936-8

Monaghan, A., Hu, L., Brunsell, N., Barlage, M., & Wilhelmi, O. V., Evaluating the impact of urban morphology configurations on the accuracy of urban canopy model temperature simulations with MODIS. Journal of Geophysical Research: Atmospheres, 119(11), 6376-6392. doi:10.1002/2013JD021227.

Hu, L.*, Brunsell, N. A., Monaghan, A. J., Barlage, M., & Wilhelmi, O. V., How can we use MODIS land surface temperature to validate long-term urban model simulations? Journal of Geophysical Research: Atmospheres, 119(6), 3185-3201. doi:10.1002/2013JD021101.

Hu, L.*, & Brunsell, N. A., The impact of temporal aggregation of land surface temperature data for surface urban heat island (SUHI) monitoring. Remote Sensing of Environment, 134, 162-174. doi:10.1016/j.rse.2013.02.022.

Brunsell, N. A., & Hu, L., The role of scale in determining surface energy fluxes from remote sensing. in Remote Sensing of Land Surface Turbulent Fluxes and Soil Surface Moisture Content: State of the Art, ed: G. Petropoulos

Hu, L., Liu, Y., Ren, Y., Chen, C., Wei, C.,(2010) Research on the extraction method of coral reef at Spratly Islands using SPOT5. Remote Sensing Technology and Application, 25(4), 493-501. (in Chinese with English abstract) 

Ren, Y., Liu, Y., Wei, C., Hu, L.,(2009)  Study on information extraction method to road damage in Wenchuan earthquake based on high-resolution remote sensing images. Remote Sensing Technology and Application, 24(1), 52-56. (In Chinese with English abstract) 

Liu, Y., Zhang, Y., Ren, Y., Li Z., Hu, L., Zhang, F., He, H., Ma, H., Chen, J. (2008) , Highway damage monitoring and assessment for Wenchuan earthquake based on remote sensing and its information integration. Journal of Remote Sensing, 12(6), 933-941. (In Chinese with English abstract)

2012 Liu, Y., Ren, Y., Hu, L., Liu, Z., Study on highway geological disasters knowledge base for remote sensing images interpretation. IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2012), Munich, Germany. doi:10.1109/IGARSS.2012.6352208

2011 Ren, Y., Liu Z., Hu, L., Liu, Y., Design and implementation of spatial database system for seasonal influenza. Geoinformatics 2011, Shanghai, China. doi:10.1109/GeoInformatics. 2011.5980703

2010 Hu, L., Liu, Y., Zhang, Y., Ren, Y., Liu, Z., Review of using remote sensing monitoring and assessing road hazard. 17th China Symposium on Remote Sensing, Hangzhou, China. (In Chinese)

2009 Fan, J., Liu, Y., Ren, Y., Hu, L., Interpretation feature database design for typical objects based on remote sensing images after Wenchuan earthquake. The 30th Asian Conference on Remote Sensing, Beijing.

2007 Sun, Y., Hu, L., Liu, H., A GIS-based approach for comparative analysis of potential fire risk assessment. Geoinformatics 2007, SPIE-Volume 6754, Nanjing, China. doi:10.1117/12.764645