劉明

2010.09-2014.06，中國地質大學（北京），地理信息科學，理學學士；

2014.09-2017.06，中國地質大學（北京），測繪科學與技術，工學碩士；

2017.09-2020.10，加拿大滑鐵盧大學，地理學，理學博士。

2020.12-2023.12，長安大學土地工程學院，講師；

2023.12至今，長安大學土地工程學院，副教授。 ^[1] 

環境遙感、遙感反演與建模、空間信息分析與應用。 ^[1] 

《土地資源遙感》、《土地信息系統設計與開發》、《GIS開發應用》、《自然資源大數據》。 ^[1] 

先後主持國家科技重大專項子課題、國家自然科學基金、陝西省自然科學基金等科研項目多項；在國際重要刊物公開發表SCI、EI檢索論文二十餘篇；主持並參與教育部產學合作協同育人等教改項目多項。 ^[1] 

1.國家自然科學基金青年項目，地理時空視角下中國PM2.5環境不平等量化評估及形成機制研究.

2.陝西省科協青年人才託舉計劃項目，城鄉細顆粒物污染差異遙感監測及時空演變研究.

3.陝西省自然科學基金青年項目，耦合理論模型與卷積神經網絡的高精度細顆粒物濃度遙感估算及區域健康評價.

4.中央高校基本科研業務費資助項目，植被覆蓋變化對PM2.5濃度及其健康效應的影響.

5.陝西省科技計劃項目重點研發計劃，碳中和目標下碳排放與生物多樣性保護關鍵技術研究-以陝西省為例.

6.國防科工局科技重大專項，高分航空載荷地質體識別和土地沙質荒漠化調查關鍵技術研究. ^[1] 

1.Ming Liu, Ronghui Hao, Ling Han, Gaoxiang Zhou*, Liangzhi Li, An integrated economic-ecological index based on satellite-derived carbon sequestration and carbon price: A case study during 2015–2020 in Shaanxi, China, Ecological Indicators, 2023,153, 110458.

2.Ming Liu, Gaoxiang Zhou, Lingfei Ma*, Liangzhi Li, Qiong Mei, SIFNet: A self-attention interaction fusion network for multisource satellite imagery template matching. International Journal of Applied Earth Observation and Geoinformation, 2023, 118: 103247.

3.Ming Liu*, Yang Wang, Ruochen Liu, Chao Ding, Gaoxiang Zhou, Ling Han, How magnitude of PM2. 5 exposure disparities have evolved across Chinese urban-rural population during 2010–2019. Journal of Cleaner Production, 2023 382: 135333.

4.Ming Liu, Rebecca K. Saari*, Gaoxiang Zhou, Xiangnan Liu, Jonathan Li, Recent trends in premature mortality and health disparities attributable to ambient PM2.5 exposure in China: 2005–2017. Environmental Pollution, 2021: 116882.

5.Ming Liu, Rebecca K. Saari*, Gaoxiang Zhou, Xiangnan Liu, Jonathan Li*, Size-differentiated patterns of exposure to submicron particulate matter across regions and seasons in China, Atmospheric Environment, 2020 238:117745.

6.Ming Liu, Gaoxiang Zhou, Rebecca K. Saari, Sabrina Li, Xiangnan Liu, Jonathan Li*, Quantifying PM2.5 mass concentration and particle radius using satellite data and an optical-mass conversion algorithm, ISPRS Journal of Photogrammetry and Remote Sensing, 2019 158: 90-98.

7.Ming Liu, Xiangnan Liu*, Meiling Liu, Feng Liu, Ming Jin, Ling Wui, Root mass ratio: index derived by assimilation of synthetic aperture radar and the improved World Food Study model for heavy metal stress monitoring in rice, Journal of Applied Remote Sensing, 2016, 10(2): 026038.

8.Ming Liu, Ziyan Liu, Gaoxiang Zhou, Ying Wang, Xuanchen Liu, Ling Han,Spatiotemporal Disparity and Environmental Inequality in Fossil Fuel Carbon Emissions in China: 2010-2019, IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2023), 2099-2102, Pasadena, USA, July 16-21, 2023.

9.Gaoxiang Zhou, Ming Liu*, Xiangnan Liu, An autoencoder-based model for forest disturbance detection using Landsat time series data. International Journal of Digital Earth, 2021 14(9): 1087-1102.

10.Ming Liu, Ziyan Liu, Gaoxiang Zhou, Ying Wang, Xuanchen Liu, Ling Han, Spatiotemporal Disparity and Environmental Inequality in Fossil Fuel Carbon Emissions in China: 2010-2019, IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2023). IEEE, 2023: 2099-2102, Pasadena, USA, July 16 - July 21.

11.Ming Liu,Gaoxiang Zhou, Rebecca K. Saari, Jonathan Li*, Long-term trend of ground-level PM2.5 concentrations over 2012-2017 in China, IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2019), 7842-7845, Yokohama, Japan, July 28 - Aug 2, 2019.

12.Hongye Cao, Ling Han, Ming Liu, Liangzhi Li, Spatial differentiation of carbon emissions from energy consumption based on machine learning algorithm: A case study during 2015–2020 in Shaanxi, China, Journal of Environmental Sciences, 2023.

13.Chao Ding, Wenjiang Huang, Ming Liu, Shuang Zhao, Change in the elevational pattern of vegetation greenup date across the Tianshan Mountains in Central Asia during 2001–2020. Ecological Indicators, 2022 136: 108684.

14.Gaoxiang Zhou, Xiangnan Liu*,Ming Liu, Assimilating Remote Sensing Phenological Information into the WOFOST Model for Rice Growth Simulation. Remote Sensing, 2019, 11(3): 268.

15.Gaoxiang Zhou, Xiangnan Liu*, Shuang Zhao,Ming Liu, Ling Wu, Estimating FAPAR of rice growth period using radiation transfer model coupled with the WOFOST model for analyzing heavy metal stress. Remote Sensing, 2017, 9(5): 424.

16.Lingwen Tian, Xiangnan Liu*, Biyao Zhang, Ming Liu, Ling Wu, Extraction of rice heavy metal stress signal features based on long time series leaf area index data using ensemble empirical mode decomposition. International Journal of Environmental Research and Public Health, 2017, 14(9): 1018.

17.Narges Fatholahi, Yue Gu,MingLiu, Lingfei Ma, Yiping Chen, Jonathan Li*, Estimating PM2.5 Concentrations in British Columbia, Canada During Wildfire Season Using Satellite Optical Data. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 1: 71-79.

18.Gaoxiang Zhou, MingLiu, Xiangnan Liu*, Jonathan Li, Combination of Crop Growth Model and Radiation Transfer Model with Remote Sensing Data Assimilation for FAPAR Estimation, IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2018), 1882-1885, Valencia, Spain, July 22-27, 2018.

19.Mengge Chen, Yue Gu, MingLiu, Jonathan Li*, Estimating PM 2.5 in British Columbia Before and After Wildfires using 3 KM Modis AOD Products from February to August 2017. IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2018), 7585-7588, Valencia, Spain, July 22-27, 2018. ^[1] 

Nature Communications, Remote Sensing of Environment,ISPRS Journal of Photogrammetry and Remote Sensing等期刊審稿人。 ^[1]