Publications ([Google Scholar])
(Zheng Q=Zheng Qiming; #=Corresponding Author; ^=supervised students/RA)
(Total citation=2260; H-index=26)
Selected Publications
- Zheng, Q.; Seto, K. C.; Zhou, Y.; You, S.; Weng, Q.*, Nighttime light remote sensing for urban applications: progress, challenges, and prospects. ISPRS Journal of Photogrammetry and Remote Sensing. 2023.
🏆 Highly Cited Paper; 🏆 Most downloaded paper in ISPRS Journal - Zheng, Q.*; Ha, T.; Prishchepov, A., et al., The neglected role of abandoned cropland in supporting food security and climate change mitigation. Nature Communications. 2023.
🏆 Highly Cited Paper - Zheng, Q.*, Cities at night: seeing the unseen. Nature Cities. 2024.
- Zheng, Q.; Weng, Q.; Wang, K., Characterizing urban changes of 30 global mega-cities using dense nighttime light time series stacks. ISPRS Journal of Photogrammetry and Remote Sensing. 2021.
🏆 Most popular paper in ISPRS Journal in the past during 2022-2025 - Zheng, Q.; Weng, Q.; Huang, L., et al., A new source of multi-spectral high spatial resolution night-time light imagery—JL1-3B. Remote Sensing of Environment. 2018.
First / Corresponding / Supervised Publications
[53] Luo, H.#; Zhao, Y.#; Liao, X.#; Liu, X.; Zheng, Q.*; Lee, H. F., Strategic urban afforestation in the Greater Bay Area towards 2050: Spatiotemporally explicit assessment of potential and trade-offs. Urban Forestry & Urban Greening. 2026.
[52] Yang, R.#, et al.; Zheng, Q.*, PV Deployment across 1% of Suitable Marginal Land in China Enables Energy and Sustainability Co-benefits. Communications Earth & Environment. 2026.
[51] Zheng, Q.*; Mu, T.#, et al., Robust Reconstruction of Seamless Daily VIIRS Nighttime Light Imagery with Cloud Mask Refinement and Multi-Strategy Spatiotemporal Gap-filling. Remote Sensing of Environment. 2026.
[50] Zheng, Q.*; Zeng, Y., et al., Nighttime Lights Reveal Substantial Spatial Heterogeneity and Inequality in Post-Hurricane Recovery. Remote Sensing of Environment. 2025.
[49] Mu, T.#; Zheng, Q.*; He, S., Robust disaster impact assessment with synthetic control modeling framework and daily nighttime light time series images. IEEE Transactions on Geoscience and Remote Sensing. 2024.
[48] Zheng, Q.*, Cities at night: seeing the unseen. Nature Cities. 2024.
[47] Dong, B.#; Zheng, Q.*, et al., Integrating physical model-based features and spatial contextual information to estimate building height in complex urban areas. International Journal of Applied Earth Observation and Geo-information. 2024.
[46] Zheng, Q.; Weng, Q., The emerging opportunities to improve light pollution measurement. Science. 2023. eLetter commentary; non-peer-reviewed.
[45] Zheng, Q.*; Ha, T.#; Prishchepov, A., et al., The neglected role of abandoned cropland in supporting food security and climate change mitigation. Nature Communications. 2023.
[44] Zheng, Q.; Seto, K. C.; Zhou, Y.; You, S.#; Weng, Q.*, Nighttime light remote sensing for urban applications: progress, challenges, and prospects. ISPRS Journal of Photogrammetry and Remote Sensing. 2023.
[43] Zheng, Q.*; Weng, Q.; Zhou, Y., et al., Impact of temporal composite on nighttime light (NTL) data and its applications. Remote Sensing of Environment. 2022.
[42] Zheng, Q.*; Kelly, S.; Koh, L. P., et al., Future land-use competition constrains natural climate solutions. Science of the Total Environment. 2022.
[41] Zheng, Q.*; Teo, H. C.; Koh, L. P., Artificial light at night advances spring phenology in the United States. Remote Sensing. 2021.
[40] Zheng, Q.; Weng, Q.; Wang, K., Characterizing urban changes of 30 global mega-cities using dense nighttime light time series stacks. ISPRS Journal of Photogrammetry and Remote Sensing. 2021.
[39] Zheng, Q.; Weng, Q.; Wang, K., Correcting the Pixel Blooming Effect (PiBE) of DMSP-OLS nighttime light imagery. Remote Sensing of Environment. 2020.
[38] Zheng, Q.; Weng, Q.; Wang, K., Developing a new cross-sensor calibration model for DMSP-OLS and Suomi-NPP VIIRS night-light imageries. ISPRS Journal of Photogrammetry and Remote Sensing. 2019.
[37] Zheng, Q.; Weng, Q.; Huang, L., et al., A new source of multi-spectral high spatial resolution night-time light imagery—JL1-3B. Remote Sensing of Environment. 2018.
[36] Zheng, Q.; Jiang, R.; Wang, K., et al., Monitoring the trajectory of urban nighttime light hotspots using a Gaussian volume model. International Journal of Applied Earth Observation and Geo-information. 2018.
[35] Zheng, Q.*; Wang, K., Analysis of the spatio-temporal dynamic of polycentric city using night-time light remote sensing imagery. IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium. 2018. Conference proceeding.
[34] Zheng, Q.; Zeng, Y.; Deng, J., et al., “Ghost cities” identification using multi-source remote sensing datasets: A case study in Yangtze River Delta. Applied Geography. 2017.
[33] Zheng, Q.; Deng, J.; Jiang, R., et al., Monitoring and assessing “ghost cities” in Northeast China from the view of nighttime light remote sensing data. Habitat International. 2017.
Co-author Publications
[32] Guo, B.; Fu, Y.; Hu, D.; Liu, Y.; Chen, Y.; Zheng, Q., et al., A novel nighttime light downscaling index approach for generating annual high-definition nighttime light products. Information Geography. 2026.
[31] You, Z.; Fu, L.; Sun, H.*, et al.; Zheng, Q., et al., Dependencies of ecological drought on climatic drivers in diverse ecosystems: Implications for water resources management. Journal of Environmental Management. 2026.
[30] Zhong, L., et al.; Zheng, Q., et al., Multispectral nighttime light remote sensing: Data, applications, and challenges. Remote Sensing of Environment. 2026.
[29] Liu, T.; Yu, L.*; Zheng, Q., et al., Releasing the Compound Potential of Abandoned Cropland through Recultivation, Afforestation, and Photovoltaic Solutions. Resources Conservation and Recycling. 2026.
[28] Liu, Y.; Kwan, M. P.*; Zheng, Q.; Ma, P., Coupling Fine-grained Nighttime Earth Observation and Optimal Buffer for Mobility-oriented Measures of High-quality Outdoor Nighttime Light Exposure. Environmental Pollution. 2025.
[27] Gao, F.; Zhao, C.; Gong, D.; Yan, Z.; Zhao, H.; Zheng, Q., A Domain Knowledge-Injected Constrained Multi-Objective Evolutionary Algorithm for Analog Integrated Circuit Design. Circuits, Systems, and Signal Processing. 2025.
[26] He, T.*; Zheng, Q., et al., Global urban building height mapping with an improved method using multi open-access remote sensing data. International Journal of Applied Earth Observation and Geo-information. 2025.
[25] Sun, H.; Fu, L.; Zheng, Q., et al., Explore the relationship between Bowen ratio and evapotranspiration in wetlands using the maximum entropy production model. Journal of Hydrology. 2025.
[24] He, T.*; Hu, Y.; Zheng, Q., et al., Mapping land- and offshore-based wind turbine in China of 2023 with Sentinel-2 satellite data. Renewable and Sustainable Energy Reviews. 2025.
[23] Zheng, Z.; Zheng, Q.; Wu, Z., A logic rule-based continuity profiling scheme for long-time-series extended NTL products. Remote Sensing of Environment. 2025.
[22] Zou, C.; Chen, Z.*; Zheng, Q., et al., Efficacy of UAV nighttime light images in classifying light source type based on light color temperature. IEEE Transactions on Geoscience and Remote Sensing. 2025.
[21] Weng, Q.; Li, Z., et al.; Zheng, Q., et al., How Will AI Transform Urban Observing, Sensing, Imaging, And Mapping? npj Urban Sustainability. 2024.
[20] Guo, B.; Hu, D.; Liu, Y.; Zheng, Q.; Atkinson, P. A., A novel nighttime light downscaling index method for generating annual high-definition nighttime light product. International Journal of Applied Earth Observation and Geo-information. 2024.
[19] Chen, B.; Zheng, Q., et al., Geo-STO3Net: A deep neural network integrating geographical spatiotemporal information for surface ozone estimation. IEEE Transactions on Geoscience and Remote Sensing. 2023.
[18] Teo, H. C.; Tan, N.; Zheng, Q., et al., Uncertainties in deforestation emission baseline methodologies and implications for carbon markets. Nature Communications. 2023.
[17] Guo, B.; Hu, D.; Zheng, Q., Potentiality of SDGSAT-1 glimmer imagery to investigate the spatial variability in nighttime-lights. International Journal of Applied Earth Observation and Geo-information. 2023.
[16] Teo, H. C.; Koh, L. P.; Zheng, Q., et al., Large-scale reforestation can increase water yield and reduce drought risk for water-insecure regions in the Asia-Pacific. Global Change Biology. 2022.
[15] Sreekar, R.; Zeng, Y.; Zheng, Q., et al., Nature-based climate solutions for expanding the global protected area network. Biological Conservation. 2022.
[14] You, S.#; Zheng, Q.; Wang, K., et al., Identifying the spatiotemporal dynamics of forest ecotourism values with remotely sensed images and social media data: a perspective of public preferences. Journal of Cleaner Production. 2022.
[13] Lin, Y.; Zhang, M.; Gan, M.; Huang, L.; Zhu, C.; Zheng, Q., et al., Fine identification of the supply-demand mismatches and matches of urban green space ecosystem services with a spatial filtering tool. Journal of Cleaner Production. 2022.
[12] Teo, H. C.; Zeng, Y.; Sarira, T.; Fung, T. K.; Zheng, Q., et al., Global urban reforestation can be an important natural climate solution. Environmental Research Letters. 2021.
[11] Ye, Y.; Huang, L.; Zheng, Q., et al., A feasible framework to downscale NPP-VIIRS nighttime light imagery using multi-source spatial variables and geographically weighted regression. International Journal of Applied Earth Observation and Geoinformation. 2021.
[10] Dong, B.; Zheng, Q.; Wang, K., et al., Identifying and Classifying Shrinking Cities Using Long-Term Continuous Night-Time Light Time Series. Remote Sensing. 2021.
[9] Ye, Z.; Zheng, Q.; Zhou, R., et al., Mapping and Discriminating Rural Settlements Using Gaofen-2 Images and a Fully Convolutional Network. Sensors. 2020.
[8] You, S.; Zheng, Q.; Lin, Y., et al., Specific Bamboo Forest Extraction and Long-Term Dynamics as Revealed by Landsat Time Series Stacks and Google Earth Engine. Remote Sensing. 2020.
[7] Ye, Y.; Deng, J.; Huang, L.; Zheng, Q., et al., Modeling and Prediction of NPP-VIIRS Nighttime Light Imagery Based on Spatiotemporal Statistical Method. IEEE Transactions on Geoscience and Remote Sensing. 2020.
[6] Xue, X.; Lin, Y.; Zheng, Q., et al., Mapping the fine-scale spatial pattern of artificial light pollution at night in urban environments from the perspective of bird habitats. Science of the Total Environment. 2020.
[5] Fu, Y.; Li, J.; Weng, Q.; Zheng, Q., et al., Characterizing the spatial pattern of annual urban growth by using time series Landsat imagery. Science of the Total Environment. 2019.
[4] Shahtahmassebi, A. R.; Wu, C.; Blackburn, G. A.; Zheng, Q., et al., How do modern transportation projects impact on development of impervious surfaces via new urban area and urban intensification? Evidence from Hangzhou Bay Bridge, China. Land Use Policy. 2018.
[3] Xue, X.; Yu, Z.; Zhu, S.; Zheng, Q., et al., Delineating Urban Boundaries Using Landsat 8 Multispectral Data and VIIRS Nighttime Light Data. Remote Sensing. 2018.
[2] Huang, L.; Wu, Y.; Zheng Q.; Zheng, Q., et al., Quantifying the Spatiotemporal Dynamics of Industrial Land Uses through Mining Free Access Social Datasets in the Mega Hangzhou Bay Region, China. Sustainability. 2018.
[1] Zheng, Q.; Wang, K.; Huang, L.; Zheng Q., et al., Monitoring the Different Types of Urban Construction Land Expansion (UCLE) in China’s Port City: A Case Study of Ningbo’s Central City. Sustainability. 2018.
