Year |
Citation |
Score |
2023 |
Vo TT, Hu L, Xue 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: e2216765120. PMID 37186862 DOI: 10.1073/pnas.2216765120 |
0.35 |
|
2021 |
Vo TT, Hu L. Diurnal evolution of urban tree temperature at a city scale. Scientific Reports. 11: 10491. PMID 34006981 DOI: 10.1038/s41598-021-89972-0 |
0.366 |
|
2020 |
Hu L, Li Q. Greenspace, bluespace, and their interactive influence on urban thermal environments Environmental Research Letters. 15: 34041. DOI: 10.1088/1748-9326/Ab6C30 |
0.315 |
|
2020 |
Collins GQ, Heaton MJ, Hu L. Physically constrained spatiotemporal modeling: generating clear-sky constructions of land surface temperature from sparse, remotely sensed satellite data Journal of Applied Statistics. 47: 1439-1459. DOI: 10.1080/02664763.2019.1681384 |
0.426 |
|
2020 |
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. DOI: 10.1016/J.Rse.2020.112039 |
0.438 |
|
2020 |
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. DOI: 10.1016/J.Isprsjprs.2020.08.007 |
0.433 |
|
2019 |
Collins GQ, Heaton MJ, Hu L. Physically constrained spatiotemporal modeling: generating clear-sky constructions of land surface temperature from sparse, remotely sensed satellite data. Journal of Applied Statistics. 47: 1439-1459. PMID 35706701 DOI: 10.1080/02664763.2019.1681384 |
0.321 |
|
2019 |
Yang J, Hu L, Wang C. Population dynamics modify urban residents' exposure to extreme temperatures across the United States. Science Advances. 5: eaay3452. PMID 31897431 DOI: 10.1126/Sciadv.Aay3452 |
0.37 |
|
2019 |
Hu L, Wendel J. Analysis of urban surface morphologic effects on diurnal thermal directional anisotropy Isprs Journal of Photogrammetry and Remote Sensing. 148: 1-12. DOI: 10.1016/J.Isprsjprs.2018.12.004 |
0.442 |
|
2019 |
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. DOI: 10.1016/J.Agrformet.2019.05.012 |
0.383 |
|
2018 |
Hu L, Wilhelmi OV, Uejio C. Assessment of heat exposure in cities: Combining the dynamics of temperature and population. The Science of the Total Environment. 655: 1-12. PMID 30469055 DOI: 10.1016/J.Scitotenv.2018.11.028 |
0.419 |
|
2018 |
Lai J, Zhan W, Huang F, 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 Isprs Journal of Photogrammetry and Remote Sensing. 139: 212-227. DOI: 10.1016/J.Isprsjprs.2018.03.012 |
0.462 |
|
2017 |
Liu W, Feddema J, Hu L, Zung A, Brunsell N. Seasonal and Diurnal Characteristics of Land Surface Temperature and Major Explanatory Factors in Harris County, Texas Sustainability. 9: 2324. DOI: 10.3390/Su9122324 |
0.633 |
|
2017 |
Collins GQ, Heaton MJ, Hu L, Monaghan AJ. Spatiotemporal multiresolution modeling to infill missing areal data and enhance the temporal frequency of infrared satellite images Environmetrics. 28. DOI: 10.1002/Env.2466 |
0.385 |
|
2016 |
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. DOI: 10.1016/J.Rse.2016.08.009 |
0.51 |
|
2016 |
Hu L, Monaghan A, Voogt JA, Barlage M. A first satellite-based observational assessment of urban thermal anisotropy Remote Sensing of Environment. 181: 111-121. DOI: 10.1016/J.Rse.2016.03.043 |
0.473 |
|
2016 |
Dickinson KL, Monaghan AJ, Rivera IJ, Hu L, Kanyomse E, Alirigia R, Adoctor J, Kaspar RE, Oduro AR, Wiedinmyer C. Changing weather and climate in Northern Ghana: comparison of local perceptions with meteorological and land cover data Regional Environmental Change. 17: 915-928. DOI: 10.1007/S10113-016-1082-4 |
0.324 |
|
2015 |
Hu L, Monaghan AJ, Brunsell NA. 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. DOI: 10.1175/Jamc-D-15-0051.1 |
0.659 |
|
2015 |
Hu L, Brunsell NA. A new perspective to assess the urban heat island through remotely sensed atmospheric profiles Remote Sensing of Environment. 158: 393-406. DOI: 10.1016/J.Rse.2014.10.022 |
0.676 |
|
2014 |
Monaghan AJ, Hu L, Brunsell NA, Barlage M, Wilhelmi OV. Evaluating the impact of urban morphology configurations on the accuracy of urban canopy model temperature simulations with MODIS Journal of Geophysical Research Atmospheres. 119: 6376-6392. DOI: 10.1002/2013Jd021227 |
0.655 |
|
2014 |
Hu L, Brunsell NA, Monaghan AJ, Barlage M, Wilhelmi OV. How can we use MODIS land surface temperature to validate long-term urban model simulations? Journal of Geophysical Research Atmospheres. 119: 3185-3201. DOI: 10.1002/2013Jd021101 |
0.65 |
|
2013 |
Hu L, Brunsell NA. 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 |
0.653 |
|
2013 |
Oleson KW, Monaghan A, Wilhelmi O, Barlage M, Brunsell N, Feddema J, Hu L, Steinhoff DF. Interactions between urbanization, heat stress, and climate change Climatic Change. 129: 525-541. DOI: 10.1007/S10584-013-0936-8 |
0.662 |
|
Show low-probability matches. |