I have published papers on the applications of geospatial technologies to understanding the problems of environmental change and their potential solutions for sustainability, especially in urban domains. These papers are in four interconnected areas of emphasis including: (1) urban mapping and modeling; (2) urban environment monitoring (urban heat island and vegetation); (3) implications of urban environmental change; and (4) environmental sustainability.

* Corresponding author


  1. Li, L., W. Zhan, W. Ju, J. Peñuelas, Z. Zhu, S. Peng, X. Zhu, Z. Liu, Y. Zhou, J. Li, J. Lai, F. Huang, G. Yin, Y. Fu, M. Li & C. Yu (2023) Competition between biogeochemical drivers and land-cover changes determines urban greening or browning. Remote Sensing of Environment, 287, 113481.
  2. He, W., X. Li, Y. Zhou, X. Liu, P. Gong, T. Hu, P. Yin, J. Huang, J. Yang, S. Miao, X. Wang & T. Wu (2023) Modeling gridded urban fractional change using the temporal context information in the urban cellular automata model. Cities, 133, 104146.


  1. Zhang, T., Y. Zhou*, K. Zhao, Z. Zhu, G. Chen, J. Hu & L. Wang (2022) A global dataset of daily maximum and minimum near-surface air temperature at 1km resolution over land (2003–2020). Earth Syst. Sci. Data, 14, 5637-5649.
  2. Zhou, Y.*, X. Li, W. Chen, L. Meng, Q. Wu, P. Gong & K. C. Seto (2022) Satellite mapping of urban built-up heights reveals extreme infrastructure gaps and inequalities in the Global South. Proceedings of the National Academy of Sciences, 119, e2214813119.
  3. Zhang, X., S. Du, Y. Zhou & Y. Xu (2022) Extracting physical urban areas of 81 major Chinese cities from high-resolution land uses. Cities, 131, 104061.
  4. Verrelli, B. C., M. Alberti, S. Des Roches, N. C. Harris, A. P. Hendry, M. T. J. Johnson, A. M. Savage, A. Charmantier, K. M. Gotanda, L. Govaert, L. S. Miles, L. R. Rivkin, K. M. Winchell, K. I. Brans, C. Correa, S. E. Diamond, B. Fitzhugh, N. B. Grimm, S. Hughes, J. M. Marzluff, J. Munshi-South, C. Rojas, J. S. Santangelo, C. J. Schell, J. A. Schweitzer, M. Szulkin, M. C. Urban, Y. Zhou & C. Ziter (2022) A global horizon scan for urban evolutionary ecology. Trends in Ecology & Evolution. Doi: 10.1016/j.tree.2022.07.012
  5. Sun, M., L. Cui, J. Park, M. García, Y. Zhou, C. A. Silva, L. He, H. Zhang & K. Zhao (2022) Evaluation of NASA’s GEDI Lidar Observations for Estimating Biomass in Temperate and Tropical Forests. Forests, 13.
  6. Wang, Y., Y. Zhou*, K. J. Franz, X. Zhang, J. Qi, G. Jia & Y. Yang (2022) Irrigation plays significantly different roles in influencing hydrological processes in two breadbasket regions. Science of The Total Environment, 157253.
  7. Mu, H., C. Xu, D. Liu, X. Li, Y. Zhou, P. Gong, J. Huang, X. Du, J. Guo, W. Cao & Z. Sun (2022) Identifying discrepant regions in urban mapping from historical and projected global urban extents. All Earth
  8. Zhang, Y., G. Chen, S. W. Myint, Y. Zhou, G. J. Hay, J. Vukomanovic & R. K. Meentemeyer (2022) UrbanWatch: A 1-meter resolution land cover and land use database for 22 major cities in the United States. Remote Sensing of Environment, 278, 113106.
  9. Li, L., X. Li, G. Asrar, Y. Zhou, M. Chen, Y. Zeng, X. Li, F. Li, M. Luo, A. Sapkota & D. Hao (2022) Detection and attribution of long-term and fine-scale changes in spring phenology over urban areas: A case study in New York State. International Journal of Applied Earth Observation and Geoinformation, 110, 102815.
  10. Li, X., Y. Zhou*, P. Gong (2022). Diversity in global urban sprawl patterns revealed by Zipfian dynamics. Doi: 10.1080/2150704X.2022.2073794
  11. Zhang, T., Y. Zhou*, L. Wang, K. Zhao & Z. Zhu (2022) Estimating 1 km gridded daily air temperature using a spatially varying coefficient model with sign preservation. Remote Sensing of Environment, 277, 113072.
  12. Zhou, Y*(2022). Understanding urban plant phenology for sustainable cities and planet. Nature Climate Change. 12, 302-304. 
  13. Meng, L., Y. Zhou*, M. O. Román, E. C. Stokes, Z. Wang, G. R. Asrar, J. Mao, A. D. Richardson, L. Gu & Y. Wang (2022) Artificial light at night: an under-appreciated effect on phenology of deciduous woody plants. PNAS Nexus, pgac046.
  14. Wang, F., B. Zheng, J. Zhang, Y. Zhou* & M. Jia (2022) Potential heat-risk avoidance from nationally determined emission reductions targets in the future. Environmental Research Letters. Doi: 10.1088/1748-9326/ac66f4
  15. Zhang, T., Y. Zhou*, K. Zhao, Z. Zhu, G.R. Asrar, and X. Zhao, (2022) Gap-filling MODIS daily aerosol optical depth products by developing a spatiotemporal fitting algorithm. GIScience & Remote Sensing. 59(1), 762-781.
  16. Zheng, Q., Q. Weng, Y. Zhou & B. Dong (2022) Impact of temporal compositing on nighttime light data and its applications. Remote Sensing of Environment, 274, 113016.
  17. Zhao, M., C. Cheng, Y. Zhou*, X. Li, S. Shen & C. Song (2022). A global dataset of annual urban extents (1992-2020) from harmonized nighttime lights. Earth Syst. Sci. Data. 14, 517–534.
  18. Zhang, T., Y. Zhou*, Z. Zhu, X. Li & G. R. Asrar (2022). A global seamless 1 km resolution daily land surface temperature dataset (2003-2020). Earth Syst. Sci. Data. 14, 651-664.
  19. Cao, W., Y. Zhou*, B. Güneralp, X. Li, K. Zhao & H. Zhang (2022) Increasing global urban exposure to flooding: An analysis of long-term annual dynamics. Science of The Total Environment, 817, 153012.
  20. Guo, T., T. He, S. Liang, J.-L. Roujean, Y. Zhou & X. Huang (2022) Multi-decadal analysis of high-resolution albedo changes induced by urbanization over contrasted Chinese cities based on Landsat data. Remote Sensing of Environment, 269, 112832.
  21. Li, H., Y. Zhou*, G. Jia, K. Zhao & J. Dong (2022) Quantifying the response of surface urban heat island to urbanization using the annual temperature cycle model. Geoscience Frontiers, 13, 101141.
  22. Hu, J., Y. Yang, Y. Zhou*, T. Zhang, Z. Ma & X. Meng (2022) Spatial patterns and temporal variations of footprint and intensity of surface urban heat island in 141 China cities. Sustainable Cities and Society, 77, 103585.
  23. Chen, W., Y. Zhou*, Y. Xie, G. Chen, K. J. Ding & D. Li (2022) Estimating spatial and temporal patterns of urban building anthropogenic heat using a bottom-up city building heat emission model. Resources, Conservation and Recycling, 177, 105996.
  24. Li, L., D. Hao, X. Li, M. Chen, Y. Zhou, D. Jurgens, G. Asrar & A. Sapkota (2022) Satellite-based phenology products and in-situ pollen dynamics: A comparative assessment. Environmental Research, 204, 111937.


  1. Qi, J., S. Lee, X. Du, D. L. Ficklin, Q. Wang, D. Myers, D. Singh, G. E. Moglen, G. W. McCarty, Y. Zhou & X. Zhang (2021) Coupling Terrestrial and Aquatic Thermal Processes for Improving Stream Temperature Modeling at the Watershed Scale. Journal of Hydrology, 126983.
  2. Ji, P., X. Yuan, X.-Z. Liang, Y. Jiao, Y. Zhou & Z. Liu (2021) High-Resolution Land Surface Modeling of the Effect of Long-Term Urbanization on Hydrothermal Changes Over Beijing Metropolitan Area. Journal of Geophysical Research: Atmospheres, 126, e2021JD034787.
  3. Li, X., Y. Zhou*, M. Hejazi, M. Wise, C. Vernon, G. Iyer & W. Chen (2021) Global urban growth between 1870 and 2100 from integrated high resolution mapped data and urban dynamic modeling. Communications Earth & Environment, 2, 201.
  4. Xu, D., F. Yang, L. Yu, Y. Zhou, H. Li, J. Ma, J. Huang, J. Wei, Y. Xu, C. Zhang & J. Cheng (2021) Quantization of the coupling mechanism between eco-environmental quality and urbanization from multisource remote sensing data. Journal of Cleaner Production, 321, 128948.
  5. Meng, L., J. Mao, D. M. Ricciuto, X. Shi, A. D. Richardson, P. J. Hanson, J. M. Warren, Y. Zhou, X. Li, L. Zhang & C. Schädel (2021) Evaluation and modification of ELM seasonal deciduous phenology against observations in a southern boreal peatland forest. Agricultural and Forest Meteorology, 308-309, 108556.
  6. Li, Y., Z. Jiao, K. Zhao, Y. Dong, Y. Zhou, Y. Zeng, H. Xu, X. Zhang, T. Hu & L. Cui (2021) Influence of Varying Solar Zenith Angles on Land Surface Phenology Derived from Vegetation Indices: A Case Study in the Harvard Forest. Remote Sensing, 13, 4126.
  7. Li, X., J. Zhang, Z. Li, T. Hu, Q. Wu, J. Yang, J. Huang, W. Su, Y. Zhao, Y. Zhou, X. Liu, P. Gong & X. Wang (2021) Critical role of temporal contexts in evaluating urban cellular automata models. GIScience & Remote Sensing, 1-13.
  8. Shi, Z., G. Jia, Y. Zhou*, X. Xu & Y. Jiang (2021) Amplified intensity and duration of heatwaves by concurrent droughts in China. Atmospheric Research, 261, 105743.
  9. Liu, X., W. Yue*, Y. Zhou*, Y. Liu, C. Xiong & Q. Li (2021) Estimating multi-temporal anthropogenic heat flux based on the top-down method and temporal downscaling methods in Beijing, China. Resources, Conservation and Recycling, 172, 105682.
  10. Zhao, X., Y. Zhou*, W. Chen, X. Li, X. Li, & D. Li. (2021) Mapping hourly population dynamics using remotely sensed and geo-spatial data: a case study in Beijing, China. GIScience & Remote Sensing, doi:10.1080/15481603.2021.1935128.
  11. Hu, T., E. Myers Toman, G. Chen, G. Shao, Y. Zhou, Y. Li, K. Zhao & Y. Feng (2021) Mapping fine-scale human disturbances in a working landscape with Landsat time series on Google Earth Engine. ISPRS Journal of Photogrammetry and Remote Sensing, 176, 250-261.
  12. Labuzzetta, C., Z. Zhu, X. Chang & Y. Zhou (2021) A Submonthly Surface Water Classification Framework via Gap-Fill Imputation and Random Forest Classifiers of Landsat Imagery. Remote Sensing, 13, 1742.
  13. Thompson, J., B. Ganapathysubramanian, W. Chen, M. Dorneich, P. Gassman, C. Krejci, M. Liebman, A. Nair, U. Passe, N. Schwab, K. Rosentrater, T. Stone, Y. Wang & Y. Zhou (2021) Iowa Urban FEWS: Integrating Social and Biophysical Models for Exploration of Urban Food, Energy, and Water Systems. Frontiers in Big Data, 4.
  14. Chen, Z., B. Yu, C. Yang, Y. Zhou, S. Yao, X. Qian, C. Wang, B. Wu & J. Wu (2021) An extended time series (2000–2018) of global NPP-VIIRS-like nighttime light data from a cross-sensor calibration. Earth Syst. Sci. Data, 13, 889-906.
  15. Meng, L., Y. Zhou*, L. Gu, A. D. Richardson, J. Peñuelas, Y. Fu, Y. Wang, G. R. Asrar, H. J. De Boeck, J. Mao, Y. Zhang & Z. Wang (2021) Photoperiod decelerates the advance of spring phenology of six deciduous tree species under climate warming. Global Change Biology, 27, 2914-2927.
  16. Kim, M., L. Wang, & Y. Zhou. Spatially Varying Coefficient Models with Sign Preservation of the Coefficient Functions. JABES (2021). Doi: 10.1007/s13253-021-00443-5
  17. Wang, Y., Y. Zhou*, K. Franz, X. Zhang, K. J. Ding, G. Jia & X. Yuan (2021) An agent-based framework for high-resolution modeling of domestic water use. Resources, Conservation and Recycling, 169, 105520.
  18. Cao, W., Y. Zhou*, R. Li*, X. Li & H. Zhang (2021) Monitoring long-term annual urban expansion (1986–2017) in the largest archipelago of China. Science of The Total Environment, 776, 146015.
  19. Arbuckle, E. J., M. Binsted, E. G. R. Davies, D. V. Chiappori, C. Bergero, M.-S. Siddiqui, C. Roney, H. C. McJeon, Y. Zhou & N. Macaluso (2021) Insights for Canadian electricity generation planning from an integrated assessment model: Should we be more cautious about hydropower cost overruns? Energy Policy, 150, 112138.
  20. Zhang, A., J. Gao, J. Quan, B. Zhou, S. K. Lam, Y. Zhou, E. Lin, K. Jiang, L. E. Clarke, X. Zhang, S. Yu, G. P. Kyle, H. Li, S. Zhou, S. Gao, W. Wang & Y. Guan (2021) The implications for energy crops under China's climate change challenges. Energy Economics, 96, 105103.


  1. DeCarolis, J. F., P. Jaramillo, J. X. Johnson, D. L. McCollum, E. Trutnevyte, D. C. Daniels, G. Akın-Olçum, J. Bergerson, S. Cho, J.-H. Choi, M. T. Craig, A. R. de Queiroz, H. Eshraghi, C. S. Galik, T. G. Gutowski, K. R. Haapala, B.-M. Hodge, S. Hoque, J. D. Jenkins, A. Jenn, D. J. A. Johansson, N. Kaufman, J. Kiviluoma, Z. Lin, H. L. MacLean, E. Masanet, M. S. Masnadi, C. A. McMillan, D. S. Nock, N. Patankar, D. Patino-Echeverri, G. Schively, S. Siddiqui, A. D. Smith, A. Venkatesh, G. Wagner, S. Yeh and Y. Zhou (2020). Leveraging Open-Source Tools for Collaborative Macro-energy System Modeling Efforts. Joule 4 (12): 2523-2526.
  2. Zhao, J., L. Yu, Y. Xu, X. Li, Y. Zhou, D. Peng, H. Liu, X. Huang, Z. Zhou, D. Wang, C. Ren and P. Gong (2020). Exploring difference in land surface temperature between the city centres and urban expansion areas of China’s major cities. International Journal of Remote Sensing 41(23): 8963-8983.
  3. Chen, W., Y. Zhou*, Q. Wu, G. Chen, X. Huang and B. Yu (2020). Urban Building Type Mapping Using Geospatial Data: A Case Study of Beijing, China. Remote Sensing 12(17).
  4. Li, X., P. Gong*, Y. Zhou*, J. Wang, Y. Bai, B. Chen, T. Hu, Y. Xiao, B. Xu, J. Yang, X. Liu, W. Cai, H. Huang, T. Wu, X. Wang, P. Lin, X. Li, J. Chen, C. He, X. Li, L. Yu, N. Clinton and Z. Zhu (2020). Mapping global urban boundaries from the global artificial impervious area (GAIA) data. Environmental Research Letters 15(9): 094044.
  5. Weber, M., D. Hao, G. R. Asrar, Y. Zhou, X. Li & M. Chen (2020) Exploring the Use of DSCOVR/EPIC Satellite Observations to Monitor Vegetation Phenology. Remote Sensing, 12, 2384.
  6. Passe, U., Dorneich, M., Krejci, C., Koupaei, D. M., Marmur, B., Shenk, L., Stonewall, J., Thompson, J., & Zhou, Y. (2020). An urban modelling framework for climate resilience in low-resource neighbourhoods. Buildings and Cities, 1(1): 453–74. DOI:
  7. Asrar, G. R., Y. Zhou, T. M. Crimmins, and A. Sapkota (2020), Eyes in the sky improve pollen tracking, Eos, 101,
  8. Zhao, M., Y. Zhou*, X. Li, W. Cheng*, C. Zhou, T. Ma, M. Li & K. Huang (2020) Mapping urban dynamics (1992–2018) in Southeast Asia using consistent nighttime light data from DMSP and VIIRS. Remote Sensing of Environment, 248, 111980.
  9. Sapkota, A., Y. Dong, L. Li, G. Asrar, Y. Zhou, X. Li, F. Coates, A. J. Spanier, J. Matz, L. Bielory, A. G. Breitenother, C. Mitchell & C. Jiang (2020) Association Between Changes in Timing of Spring Onset and Asthma Hospitalization in Maryland. JAMA Network Open, 3, e207551-e207551.
  10. Li, X., Y. Zhou*, M. Zhao & X. Zhao (2020) A harmonized global nighttime light dataset 1992–2018. Scientific Data, 7, 168.
  11. Li, X., Y. Zhou*, & W. Chen (2020) An improved urban cellular automata model by using the trend-adjusted neighborhood. Ecological Processes, 9, 28.
  12. Zhao, X., X. Li*, Y. Zhou*, & D. Li (2020) Analyzing Urban Spatial Connectivity Using Night Light Observations: A Case Study of Three Representative Urban Agglomerations in China. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13, 1097-1108.
  13. Shuai, Y., L. Tuerhanjiang, C. Shao, F. Gao, Y. Zhou, D. Xie, T. Liu, J. Liang & N. Chu (2020) Re-understanding of land surface albedo and related terms in satellite-based retrievals. Big Earth Data, 1-23.
  14. Chen, G., K. K. Singh, J. Lopez & Y. Zhou (2020) Tree canopy cover and carbon density are different proxy indicators for assessing the relationship between forest structure and urban socio-ecological conditions. Ecological Indicators, 113, 106279.
  15. Li, X., Y. Zhou*, Z. Zhu & W. Cao (2020) A national dataset of 30m annual urban extent dynamics (1985–2015) in the conterminous United States. Earth Syst. Sci. Data, 12, 357-371.
  16. Liu, X., Y. Zhou*, W. Yue, X. Li, Y. Liu & D. Lu (2020) Spatiotemporal patterns of summer urban heat island in Beijing, China using an improved land surface temperature. Journal of Cleaner Production, 120529.
  17. Li, X., Y. Zhou*, P. Gong, K. C. Seto & N. Clinton (2020) Developing a method to estimate building height from Sentinel-1 data. Remote Sensing of Environment, 240, 111705.
  18. Meng, L., J. Mao*, Y. Zhou*, A. D. Richardson, X. Lee, P. E. Thornton, D. M. Ricciuto, X. Li, Y. Dai, X. Shi & G. Jia (2020) Urban warming advances spring phenology but reduces the response of phenology to temperature in the conterminous United States. Proceedings of the National Academy of Sciences, 117, 4228 (This week in PNAS).
  19. Han, Y., Z. Li, C. Huang, Y. Zhou, S. Zong, T. Hao, H. Niu & H. Yao (2020) Monitoring Droughts in the Greater Changbai Mountains Using Multiple Remote Sensing-based Drought Indices. Remote Sensing, 12, 530.
  20. Cao, W., Y. Zhou*, R. Li & X. Li (2020) Mapping changes in coastlines and tidal flats in developing islands using the full time series of Landsat images. Remote Sensing of Environment, 239, 111665.
  21. Gong, P., X. Li, J. Wang, Y. Bai, B. Chen, T. Hu, X. Liu, B. Xu, J. Yang, W. Zhang & Y. Zhou (2020) Annual maps of global artificial impervious area (GAIA) between 1985 and 2018. Remote Sensing of Environment, 236, 111510.
  22. Meng, L., Y. Zhou*, X. Li, G. R. Asrar, J. Mao, A. D. Wanamaker & Y. Wang (2020) Divergent responses of spring phenology to daytime and nighttime warming. Agricultural and Forest Meteorology, 281, 107832.
  23. Zhao, M., Y. Zhou*, X. Li, C. Zhou, W. Cheng, M. Li & K. Huang (2020) Building a Series of Consistent Night-Time Light Data (1992–2018) in Southeast Asia by Integrating DMSP-OLS and NPP-VIIRS. IEEE Transactions on Geoscience and Remote Sensing, 58, 1843-1856.


  1. Wei, J.-Z., K. Zheng, F. Zhang, C. Fang, Y. Zhou, X.-C. Li, F.-M. Li & J.-S. Ye (2019) Migration of Rural Residents to Urban Areas Drives Grassland Vegetation Increase in China’s Loess Plateau. Sustainability, 11, 6764.
  2. Jahn, D. E., W. A. Gallus, P. T. T. Nguyen, Q. Pan, K. Cetin, E. Byon, L. Manuel, Y. Zhou & E. Jahani (2019) Projecting the Most Likely Annual Urban Heat Extremes in the Central United States. Atmosphere, 10, 727.
  3. Shi, Z., G. Jia, Y. Hu & Y. Zhou (2019) The contribution of intensified urbanization effects on surface warming trends in China. Theoretical and Applied Climatology. 138(1-2), 1125-1137.
  4. Yang, C., B. Yu, Z. Chen, W. Song, Y. Zhou, X. Li & J. Wu (2019) A Spatial-Socioeconomic Urban Development Status Curve from NPP-VIIRS Nighttime Light Data. Remote Sensing, 11, 2398.
  5. Zhao, M., Y. Zhou*, X. Li, W. Cao, C. He, B. Yu, X. Li, C. D. Elvidge, W. Cheng & C. Zhou (2019) Applications of Satellite Remote Sensing of Nighttime Light Observations: Advances, Challenges, and Perspectives. Remote Sensing, 11, 1971.
  6. Wang, S., W. Ju, J. Peñuelas, A. Cescatti, Y. Zhou, Y. Fu, A. Huete, M. Liu, and Y. Zhang (2019). Urban−rural gradients reveal joint control of elevated CO2 and temperature on extended photosynthetic seasons. Nature Ecology & Evolution. 3: 1076–1085.
  7. Li, X., Y. Zhou*, L. Meng, G. R. Asrar, C. Lu & Q. Wu (2019). A dataset of 30-meter annual vegetation phenology indicators (1985-2015) in urban areas of the conterminous United States. Earth Syst. Sci. Data, 2019. 11(2): 881-894.
  8. Yang, Q., X. Zhang, J. E. Almendinger, M. Huang, X. Chen, G. Leng, Y. Zhou, K. Zhao, G. R. Asrar & X. Li (2019) Climate change will pose challenges to water quality management in the st. Croix River basin. Environmental Pollution, 251, 302-311.
  9. Li, X., Y. Zhou*, J. Eom, S. Yu & G. R. Asrar (2019) Projecting Global Urban Area Growth Through 2100 Based on Historical Time Series Data and Future Shared Socioeconomic Pathways. Earth's Future, 7, 351-362. (Journal Cover)
  10. Zhu, Z., Y. Zhou, K. C. Seto, E. C. Stokes, C. Deng, S. T. A. Pickett & H. Taubenböck (2019). Understanding an urbanizing planet: Strategic directions for remote sensing. Remote Sensing of Environment. 228, 164-182.
  11. Wu, Q, C. Lane, X. Li, K. Zhao, Y. Zhou, N. Clinton, B. DeVries, H. Golden, & M. Lang (2019). Integrating LiDAR data and multi-temporal aerial imagery to map wetland inundation dynamics using Google Earth Engine. Remote Sensing of Environment. 228, 1-13.
  12. Zhao, H., Z. Zhang, X. Chen, & Y. Zhou (2019). Exploring an efficient sandy barren index for rapid mapping of sandy barren land from Landsat TM/OLI images. International Journal of Applied Earth Observations and Geoinformation. 80, 38-46.
  13. Yue, W., X. Liu, Y. Zhou*, & Y. Liu (2019). Impacts of urban configuration on urban heat island: An empirical study in China mega-cities. Science of The Total Environment, 671, 1036-1046.
  14. Chen, Z., B. Yu, Y. Zhou*, H. Liu, C. Yang, K. Shi & J. Wu (2019). Mapping Global Urban Areas From 2000 to 2012 Using Time-Series Nighttime Light Data and MODIS Products. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 12, 1143-1153. (Journal Cover)
  15. Li, X., Y. Zhou*, S. Yu, G. Jia, H. Li & W. Li (2019). Urban heat island impacts on building energy consumption: a review of approaches and findings. Energy. 174: 407-419.
  16. Li, X., Y. Zhou*, L. Meng, G. Asrar, A. Sapkota and F. Coates (2019). Characterizing the relationship between satellite phenology and pollen season: A case study of birch. Remote Sensing of Environment 222: 267-274.
  17. Zhou, D., J. Xiao, S. Bonafoni, C. Berger, K. Deilami, Y. Zhou, S. Frolking, R. Yao, Z. Qiao, and J.A. Sobrino (2019). Satellite Remote Sensing of Surface Urban Heat Islands: Progress, Challenges, and Perspectives. Remote Sensing, 2018. 11(1): 48. (ESI Highly Cited Paper)
  18. Zhao, H., Y. Zhou, X. Li, C. Liu & X. Chen (2019) The influence of wind speed on infrared temperature in impervious surface areas based on in situ measurement data. GIScience & Remote Sensing, 56, 843-863.
  19. He, Y., G. Chen, A. De Santis, D. A. Roberts, Y. Zhou & R. K. Meentemeyer (2019). A disturbance weighting analysis model (DWAM) for mapping wildfire burn severity in the presence of forest disease. Remote Sensing of Environment, 221, 108-121.
  20. Zhao, G., J. Dong, Y. Cui, J. Liu, J. Zhai, T. He, Y. Zhou & X. Xiao (2019) Evapotranspiration-dominated biogeophysical warming effect of urbanization in the Beijing-Tianjin-Hebei region, China. Climate Dynamics, 52, 1231-1245.
  21. Yang, Q., X. Zhang, J. E. Almendinger, M. Huang, G. Leng, Y. Zhou, K. Zhao, G. R. Asrar, X. Li & J. Qiu (2019) Improving the SWAT forest module for enhancing water resource projections: A case study in the St. Croix River basin. Hydrological Processes, 33, 864-875.
  22. Shi, K., B. Yu, Y. Zhou, Y. Chen, C. Yang, Z. Chen and J. Wu (2019). Spatiotemporal variations of CO2 emissions and their impact factors in China: A comparative analysis between the provincial and prefectural levels. Applied Energy 233-234, 170-181.
  23. Li, H., Y. Zhou, X. Wang, X. Zhou, H. Zhang and S. Sodoudi (2019). Quantifying urban heat island intensity and its physical mechanism using WRF/UCM. Science of The Total Environment 650, 3110-3119.


  1. Ren, Q., C. He, Q. Huang & Y. Zhou* (2018). Urbanization Impacts on Vegetation Phenology in China. Remote Sensing, 10, 1905.
  2. Lu, C., H. Tian, D. Hennessy, H. Feng, M. Al-Kaisi, Y. Zhou, T. Sauer & R. Arritt (2018). Increasing carbon footprint of grain crop production in the US Western Corn Belt. Environmental Research Letters, 13, 124007
  3. Zhou, Y., Li, X., Asrar, G.R., Smith, S.J., & Imhoff, M. (2018). A global record of annual urban dynamics (1992–2013) from nighttime lights. Remote Sensing of Environment, 219, 206-220.
  4. Li, X., Y. Zhou*, Z. Zhu, L. Liang, B. Yu, and W. Cao (2018), Mapping annual urban dynamics (1985–2015) using time series of Landsat data. Remote Sensing of Environment 216: 674-683.
  5. Clarke, L., Eom, J., Marten, E.H., Horowitz, R., Kyle, P., Link, R., Mignone, B.K., Mundra, A., & Zhou, Y. (2018). Effects of long-term climate change on global building energy expenditures. Energy Economics 72: 667-677.
  6. Li, H., Y. Zhou, X. Li, L. Meng, X. Wang, S. Wu and S. Sodoudi (2018). A new method to quantify surface urban heat island intensity. Science of the Total Environment 624: 262-272. 
  7. Zhou, S., Y. Wang, Y. Zhou*, L. E. Clarke and J. A. Edmonds (2018). Roles of wind and solar energy in China's power sector: Implications of intermittency constraints. Applied Energy 213: 22-30.
  8. Lu, X., Y. Zhou*, Q. Zhuang, C. Prigent, Y. Liu and A. Teuling (2018). Increasing Methane Emissions from Natural Land Ecosystems due to Sea-Level Rise. Journal of Geophysical Research: Biogeosciences 123(5): 1756-1768. (EOS Research Spotlights)
  9. Lu, X., Y. Zhou*, Y. Liu and Y. Le Page (2018). The role of protected areas in land use/land cover change and the carbon cycle in the conterminous United States. Global Change Biology 24(2): 617-630.
  10. Lu, X., Z. Liu, Y. Zhou, Y. Liu and J. Tang (2018). Performance of solar-induced chlorophyll fluorescence in estimating water-use efficiency in a temperate forest. Remote Sensing 10 (5).
  11. Lu, X., Z. Liu, Y. Zhou, Y. Liu, S. An and J. Tang (2018). Comparison of phenology estimated from reflectance-based indices and solar-induced chlorophyll fluorescence (SIF) observations in a temperate forest using GPP- based phenology as the standard. Remote Sensing 10 (6).
  12. Li, X., Y. Zhou*, G. R. Asrar and Z. Zhu (2018). Developing a 1 km resolution daily air temperature dataset for urban and surrounding areas in the conterminous United States. Remote Sensing of Environment 215: 74-84.
  13. Li, X., Y. Zhou*, G. R. Asrar and Z. Zhu (2018). Creating a seamless 1 km resolution daily land surface temperature dataset for urban and surrounding areas in the conterminous United States. Remote Sensing of Environment 206: 84-97.
  14. Li, W., Y. Zhou*, K. S. Cetin, S. Yu, Y. Wang and B. Liang (2018). Developing a landscape of urban building energy use with improved spatiotemporal representations in a cool-humid climate. Building and Environment 136: 107-117.
  15. Yang, Q., J. E. Almendinger, X. Zhang, M. Huang, X. Chen, G. Leng, Y. Zhou, K. Zhao, G. R. Asrar, R. Srinivasan and X. Li (2018). Enhancing SWAT simulation of forest ecosystems for water resource assessment: A case study in the St. Croix River basin. Ecological Engineering 120: 422-431.
  16. Wang, P., Y. Zhou*, Z. Huo, L. Han, J. Qiu, Y. Tan, and D. Liu (2018). Monitoring growth condition of spring maize in Northeast China using a process-based model. International Journal of Applied Earth Observation and Geoinformation 66: 27-36.


  1. Li, W., Y. Zhou*, K. Cetin, J. Eom, Y. Wang, G. Chen and X. Zhang (2017). Modeling urban building energy use: A review of modeling approaches and procedures. Energy 141: 2445-2457.
  2. Güneralp, B., Y. Zhou, D. Ürge-Vorsatz, M. Gupta, S. Yu, P. L. Patel, M. Fragkias, X. Li and K. C. Seto (2017). Global scenarios of urban density and its impacts on building energy use through 2050. Proceedings of the National Academy of Sciences of the United States of America 114(34): 8945-8950. 
  3. Alberti, M., C. Correa, J. M. Marzluff, A. P. Hendry, E. P. Palkovacs, K. M. Gotanda, V. M. Hunt, T. M. Apgar and Y. Zhou (2017). Global urban signatures of phenotypic change in animal and plant populations. Proceedings of the National Academy of Sciences of the United States of America 114(34): 8951-8956. 
  4. Li, X., H. Lu, Y. Zhou, T. Hu, L. Liang, X. Liu, G. Hu and L. Yu (2017). Exploring the performance of spatio-temporal assimilation in an urban cellular automata model. International Journal of Geographical Information Science 31(11): 2195-2215.
  5. Xie, D., W. Qin, P. Wang, Y. Shuai, Y. Zhou and Q. Zhu (2017). Influences of Leaf-Specular Reflection on Canopy BRF Characteristics: A Case Study of Real Maize Canopies with a 3-D Scene BRDF Model. IEEE Transactions on Geoscience and Remote Sensing 55(2): 619-631.
  6. Wang, P., J. Qiu, Z. Huo, M. C. Anderson, Y. Zhou, Y. Bai, T. Liu, S. Ren, R. Feng and P. Chen (2017). Temporal downscaling of crop coefficients for winter wheat in the north china plain: A case study at the gucheng agro-meteorological experimental station. Water (Switzerland) 9(3).
  7. Tang, J., L. Di, J. Xiao, D. Lu and Y. Zhou (2017). Impacts of land use and socioeconomic patterns on urban heat island. International Journal of Remote Sensing 38(11): 3445-3465.
  8. Hardin, E., A. AghaKouchak, M. J. A. Qomi, K. Madani, B. Tarroja, Y. Zhou, T. Yang & S. Samuelsen (2017). California drought increases CO2 footprint of energy. Sustainable Cities and Society 28: 450-452
  9. Li, X., Y. Zhou*, G. R. Asrar and L. Meng (2017). Characterizing spatiotemporal dynamics in phenology of urban ecosystems based on Landsat data. Science of the Total Environment 605-606: 721-734.
  10. Li, X., Y. Zhou*, G. R. Asrar, J. Mao, X. Li and W. Li (2017). Response of vegetation phenology to urbanization in the conterminous United States. Global Change Biology 23(7): 2818-2830.
  11. Li, X., Y. Zhou*, G. R. Asrar, M. Imhoff and X. Li (2017). The surface urban heat island response to urban expansion: A panel analysis for the conterminous United States. Science of the Total Environment 605-606: 426-435.
  12. Li, X. and Y. Zhou* (2017). A stepwise calibration of global DMSP/OLS stable nighttime light data (1992-2013). Remote Sensing 9(6): 637.
  13. Li, X. and Y. Zhou* (2017). Urban mapping using DMSP/OLS stable night-time light: a review. International Journal of Remote Sensing 38(21): 6030–6046. (the most cited IJRS paper in 2018)

2016 and earlier:

  1. Gao, J., A. Zhang, S. K. Lam, X. Zhang, A. M. Thomson, E. Lin, K. Jiang, L. E. Clarke, J. A. Edmonds, P. G. Kyle, S. Yu, Y. Zhou and S. Zhou (2016). An integrated assessment of the potential of agricultural and forestry residues for energy production in China. GCB Bioenergy 8(5): 880-893.
  2. Zhang, X., C. Ma, X. Song, Y. Zhou and W. Chen (2016). The impacts of wind technology advancement on future global energy. Applied Energy 184: 1033-1037.
  3. Lu, X., Q. Zhuang, Y. Liu, Y. Zhou and A. Aghakouchak (2016). A large-scale methane model by incorporating the surface water transport. Journal of Geophysical Research: Biogeosciences 121(6): 1657-1674.
  4. Gurney, K. R., R. Patarasuk, I. Razlivanov, Y. Song, D. O'Keeffe, J. Huang, Y. Zhou & P. Rao (2016) Comment on “Analysis of High-Resolution Utility Data for Understanding Energy Use in Urban Systems”. Journal of Industrial Ecology 20: 192-193.
  5. Collins, W. D., A. P. Craig, J. E. Truesdale, A. V. Di Vittorio, A. D. Jones, B. Bond-Lamberty, K. V. Calvin, J. A. Edmonds, S. H. Kim, A. M. Thomson, P. Patel, Y. Zhou, J. Mao, X. Shi, P. E. Thornton, L. P. Chini and G. C. Hurtt (2015). The integrated Earth system model version 1: formulation and functionality. Geosci. Model Dev. 8(7): 2203-2219.
  6. Liu, L., M. Hejazi, P. Patel, P. Kyle, E. Davies, Y. Zhou, L. Clarke and J. Edmonds (2015). Water demands for electricity generation in the U.S.: Modeling different scenarios for the water-energy nexus. Technological Forecasting and Social Change 94: 318-334.
  7. McFarland, J., Y. Zhou, L. Clarke, P. Sullivan, J. Colman, W. S. Jaglom, M. Colley, P. Patel, J. Eom, S. H. Kim, G. P. Kyle, P. Schultz, B. Venkatesh, J. Haydel, C. Mack and J. Creason (2015). Impacts of rising air temperatures and emissions mitigation on electricity demand and supply in the United States: a multi-model comparison. Climatic Change 131(1): 111-125.
  8. Scott, M. J., D. S. Daly, J. E. Hathaway, C. S. Lansing, Y. Liu, H. C. McJeon, R. H. Moss, P. L. Patel, M. J. Peterson, J. S. Rice and Y. Zhou (2015). Calculating impacts of energy standards on energy demand in U.S. buildings with uncertainty in an integrated assessment model. Energy 90: 1682-1694.
  9. Zhao, K., M. García, S. Liu, Q. Guo, G. Chen, X. Zhang, Y. Zhou and X. Meng (2015). Terrestrial lidar remote sensing of forests: Maximum likelihood estimates of canopy profile, leaf area index, and leaf angle distribution. Agricultural and Forest Meteorology 209-210: 100-113.
  10. Zhao, N., Y. Zhou* and E. L. Samson (2015). Correcting incompatible DN values and geometric errors in nighttime lights time-series images. IEEE Transactions on Geoscience and Remote Sensing 53(4): 2039-2049.
  11. Zhou, Y., M. Hejazi, S. Smith, J. Edmonds, H. Li, L. Clarke, K. Calvin and A. Thomson (2015). A comprehensive view of global potential for hydro-generated electricity. Energy and Environmental Science 8(9): 2622-2633.
  12. Hejazi, M. I., N. Voisin, L. Liu, L. M. Bramer, D. C. Fortin, J. E. Hathaway, M. Huang, P. Kyle, L. R. Leung, H. Y. Li, Y. Liu, P. L. Patel, T. C. Pulsipher, J. S. Rice, T. K. Tesfa, C. R. Vernon and Y. Zhou (2015). 21st century United States emissions mitigation could increase water stress more than the climate change it is mitigating. Proceedings of the National Academy of Sciences of the United States of America 112(34): 10635-10640.
  13. Calvin, K., B. Bond-Lamberty, J. Edmonds, M. Hejazi, S. Waldhoff, M. Wise and Y. Zhou (2015). The effects of climate sensitivity and carbon cycle interactions on mitigation policy stringency. Climatic Change 131(1): 35-50.
  14. Zhou, Y., S. J. Smith, K. Zhao, M. Imhoff, A. Thomson, B. Bond-Lamberty, G. R. Asrar, X. Zhang, C. He and C. D. Elvidge (2015). A global map of urban extent from nightlights. Environmental Research Letters 10 (5). (IOPSELECT)
  15. Bond-Lamberty, B., K. Calvin, A. D. Jones, J. Mao, P. Patel, X. Y. Shi, A. Thomson, P. Thornton and Y. Zhou (2014). On linking an Earth system model to the equilibrium carbon representation of an economically optimizing land use model. Geoscientific Model Development 7(6): 2545-2555.
  16. Clarke, L. E., A. A. Fawcett, J. P. Weyant, J. McFarland, V. Chaturvedi and Y. Zhou (2014). Technology and U.S. Emissions reductions goals: Results of the EMF 24 modeling exercise. Energy Journal 35(SPEC. ISSUE 1): 9-31.
  17. Liu, Z., C. He, Y. Zhou and J. Wu (2014). How much of the world’s land has been urbanized, really? A hierarchical framework for avoiding confusion. Landscape Ecology 29(5): 763-771.
  18. Zhou, Y., Y. Wang, A. J. Gold, P. V. August and T. B. Boving (2014). Assessing impact of urban impervious surface on watershed hydrology using distributed object-oriented simulation and spatial regression. GeoJournal 79(2): 155-166.
  19. Zhou, Y., S. J. Smith, C. D. Elvidge, K. Zhao, A. Thomson and M. Imhoff (2014). A cluster-based method to map urban area from DMSP/OLS nightlights. Remote Sensing of Environment 147: 173-185. 
  20. Zhou, Y., L. Clarke, J. Eom, P. Kyle, P. Patel, S. H. Kim, J. Dirks, E. Jensen, Y. Liu, J. Rice, L. Schmidt and T. Seiple (2014). Modeling the effect of climate change on U.S. state-level buildings energy demands in an integrated assessment framework. Applied Energy 113: 1077-1088.
  21. Zhang, J., C. He, Y. Zhou, S. Zhu and G. Shuai (2014). Prior-knowledge-based spectral mixture analysis for impervious surface mapping. International Journal of Applied Earth Observation and Geoinformation 28(1): 201-210.
  22. Yu, S., J. Eom, Y. Zhou, M. Evans and L. Clarke (2014). Scenarios of building energy demand for China with a detailed regional representation. Energy 67: 284-297.
  23. Wang, P., D. Xie, Y. Zhou, Y. E and Q. Zhu (2014). Estimation of net primary productivity using a process-based model in Gansu Province, Northwest China. Environmental Earth Sciences 71(2): 647-658.
  24. Scott, M. J., D. S. Daly, Y. Zhou, J. S. Rice, P. L. Patel, H. C. McJeon, G. Page Kyle, S. H. Kim, J. Eom and L. E. Clarke (2014). Evaluating sub-national building-energy efficiency policy options under uncertainty: Efficient sensitivity testing of alternative climate, technological, and socioeconomic futures in a regional integrated-assessment model. Energy Economics 43: 22-33.
  25. Chaturvedi, V., S. Kim, S. J. Smith, L. Clarke, Y. Zhou, P. Kyle and P. Patel (2013). Model evaluation and hindcasting: An experiment with an integrated assessment model. Energy 61: 479-490.
  26. Zhou, Y. and S. J. Smith (2013). Spatial and temporal patterns of global onshore wind speed distribution. Environmental Research Letters 8(3).
  27. Cragg, M. I., Y. Zhou, K. Gurney and M. E. Kahn (2013). Carbon geography: The political economy of congressional support for legislation intended to mitigate greenhouse gas production. Economic Inquiry 51(2): 1640-1650.
  28. Mendoza, D., K. R. Gurney, S. Geethakumar, V. Chandrasekaran, Y. Zhou and I. Razlivanov (2013). Implications of uncertainty on regional CO2 mitigation policies for the U.S. onroad sector based on a high-resolution emissions estimate. Energy Policy 55: 386-395.
  29. Zhou, Y., J. Eom and L. Clarke (2013). The effect of global climate change, population distribution, and climate mitigation on building energy use in the US and China. Climatic Change 119(3-4): 979-992.
  30. Gurney, K. R., I. Razlivanov, Y. Song, Y. Zhou, B. Benes and M. Abdul-Massih (2012). Quantification of fossil fuel CO2 emissions on the building/street scale for a large U.S. City. Environmental Science and Technology 46(21): 12194-12202.
  31. Zhou, Y., Q. Weng, K. R. Gurney, Y. Shuai and X. Hu (2012). Estimation of the relationship between remotely sensed anthropogenic heat discharge and building energy use. ISPRS Journal of Photogrammetry and Remote Sensing 67(1): 65-72.
  32. Zhou, Y., P. Luckow, S. J. Smith and L. Clarke (2012). Evaluation of global onshore wind energy potential and generation costs. Environmental Science and Technology 46(14): 7857-7864.
  33. Wang, Y., J. Zhao, Y. Zhou and H. Zhang (2012). Variation and trends of landscape dynamics, land surface phenology and net primary production of the Appalachian Mountains. Journal of Applied Remote Sensing 6(1).
  34. Zhou, Y. and K. R. Gurney (2011). Spatial relationships of sector-specific fossil fuel CO2 emissions in the United States. Global Biogeochemical Cycles 25(3).
  35. Wang, P., R. Sun, J. Zhang, Y. Zhou, D. Xie and Q. Zhu (2011). Yield estimation of winter wheat in the north china plain using the remote-sensing-photosynthesis-yield estimation for crops (RS-P-YEC) model. International Journal of Remote Sensing 32(21): 6335-6348.
  36. Parshall, L., K. Gurney, S. A. Hammer, D. Mendoza, Y. Zhou and S. Geethakumar (2010). Modeling energy consumption and CO2 emissions at the urban scale: Methodological challenges and insights from the United States. Energy Policy 38(9): 4765-4782. 
  37. Zhou, Y., Y. Wang, A. J. Gold and P. V. August (2010). Modeling watershed rainfall-runoff relations using impervious surface-area data with high spatial resolution. Hydrogeology Journal 18(6): 1413-1423.
  38. Zhou, Y. and K. Gurney (2010). A new methodology for quantifying on-site residential and commercial fossil fuel CO2 emissions at the building spatial scale and hourly time scale. Carbon Management 1(1): 45-56.
  39. Gurney, K. R., D. L. Mendoza, Y. Zhou, M. L. Fischer, C. C. Miller, S. Geethakumar and S. D. L. R. Du Can (2009). High resolution fossil fuel combustion CO2 emission fluxes for the United States. Environmental Science and Technology 43(14): 5535-5541. 
  40. Wang, Y., B. R. Mitchell, J. Nugranad-Marzilli, G. Bonynge, Y. Zhou and G. Shriver (2009). Remote sensing of land-cover change and landscape context of the National Parks: A case study of the Northeast Temperate Network. Remote Sensing of Environment 113(7): 1453-1461.
  41. Wang, Y., Y. Zhou, J. Yang, H.S. He, Z. Zhu, and D. Ohlen (2009). Simulation of Short-Term Post-Fire Vegetation Recovery by Integration of LANDFIRE Data Products, DNBR Data and LANDIS Modeling. Annals of GIS 15(1): 47-59.
  42. Zhou, Y. and Y. Q. Wang (2008). Extraction of impervious surface areas from high spatial resolution imagery by multiple agent segmentation and classification. Photogrammetric Engineering and Remote Sensing 74(7): 857-868.
  43. Wang, P., R. Sun, J. Hu, Q. Zhu, Y. Zhou, L. Li and J. M. Chen (2007). Measurements and simulation of forest leaf area index and net primary productivity in Northern China. Journal of Environmental Management 85(3): 607-615.
  44. Tang, S., J. M. Chen, Q. Zhu, X. Li, M. Chen, R. Sun, Y. Zhou, F. Deng and D. Xie (2007). LAI inversion algorithm based on directional reflectance kernels. Journal of Environmental Management 85(3): 638-648.
  45. Zhou, Y., Q. Zhu, J. M. Chen, Y. Q. Wang, J. Liu, R. Sun and S. Tang (2007). Observation and simulation of net primary productivity in Qilian Mountain, western China. Journal of Environmental Management 85(3): 574-584.
  46. Zhou, Y. and Y. Q. Wang (2007). An assessment of impervious surface areas in Rhode Island. Northeastern Naturalist 14(4): 643-650.
  47. Tang, S., Q. Zhu, J. Wang, Y. Zhou and F. Zhao (2005). Principle and application of three-band gradient difference vegetation index. Science in China, Series D: Earth Sciences 48(2): 241-249.
  48. Sun, R., J. M. Chen, Q. Zhu, Y. Zhou, J. Liu, J. Li, S. Liu, G. Yan and S. Tang (2004). Spatial distribution of net primary productivity and evapotranspiration in Changbaishan Natural Reserve, China, using Landsat ETM+ data. Canadian Journal of Remote Sensing 30(5): 731-742.