个人简介：

李康宁，博士，讲师，硕导。1993年6月，安徽马鞍山人。2022年博士毕业于北京师范大学，获地理学博士学位。主要从事资源环境与城市遥感、热红外与高光谱遥感等方面的研究，入选北京市科协青年人才托举工程，主持和参与国家自然科学基金、博士后基金等项目，获“北京师范大学优秀博士学位论文”。 发表SCI学术论文50余篇，第一/通讯作者发表SCI论文13篇（10篇TOP SCI），包括Remote Sensing of Environment （IF=13.5）、Sustainable Cities and Society（IF=11.7）和Environment International（IF=11.8），授权发明专利3项。

电子邮件：kangning @cumtb.edu.cn

研究方向：

(1) 资源环境与城市遥感

(2) 热红外与高光谱遥感

代表性科研项目：

(1) 国家自然科学基金-青年科学基金，2024–2027，主持

(2) 中国博士后科学基金面上项目，2023–2025，主持

(3) 北京市自然科学基金-联合基金，参与

代表性论文：

[1] Li K, Chen Y, Gao S. Uncertainty of city-based urban heat island intensity across 1112 global cities: Background reference and cloud coverage[J]. Remote Sensing of Environment, 2022, 271: 112898.（第一作者，SCI顶刊，IF=13.5）

[2] Li K, Lyu D, Chen Y, et al. Classifying seasonal patterns of clear-sky surface urban heat island worldwide and investigating impacts from surface energy variations[J]. Sustainable Cities and Society, 2024, 106: 105367.（第一作者，TOP-SCI，IF=11.7）

[3] Li K, Chen Y, Jiang J. Grading surface urban heat island and investigating factor weight based on interpretable deep learning model across global cities[J]. Environment International, 2023, 180: 108196. （第一作者，TOP-SCI，IF=11.8）

[4] Li K, Chen Y. Characterizing the indicator-based, day-and-night, and climate-based variations in response of surface urban heat island during heat wave across global 561 cities[J]. Sustainable Cities and Society, 2023, 99: 104877.（第一作者，TOP-SCI，IF=11.7）

[5] Li K, Chen Y, Wang M, et al. Spatial-temporal variations of surface urban heat island intensity induced by different definitions of rural extents in China[J]. Science of The Total Environment, 2019, 669: 229-247. (第一作者，TOP-SCI，SCI与SSCI双检索，IF=9.8)

[6] Li K, Chen Y. Identifying and characterizing frequency and maximum durations of surface urban heat and cool island across global cities[J]. Science of The Total Environment, 2022: 160218. （第一作者，TOP-SCI，IF=9.8）

[7] Li K, Chen Y, Gao S. Comparative Analysis of Variations and Patterns between Surface Urban Heat Island Intensity and Frequency across 305 Chinese Cities[J]. Remote Sensing, 2021, 13(17): 3505. (第一作者，TOP-SCI，IF=5.0)

[8] Li K, Chen Y, Xia H, et al. Adjustment From Temperature Annual Dynamics for Reconstructing Land Surface Temperature Based on Downscaled Microwave Observations[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020, 13: 5272-5283. (第一作者，TOP-SCI, IF=5.5)

[8] Li K, Chen Y, Li Y. The Random Forest-Based Method of Fine-Resolution Population Spatialization by Using the International Space Station Nighttime Photography and Social Sensing Data[J]. Remote Sensing, 2018, 10(10): 1650. (第一作者，SCI，IF=5.0)

[10] Li K, Chen Y. A Genetic Algorithm-based urban cluster automatic threshold method by combining VIIRS DNB, NDVI, and NDBI to monitor urbanization[J]. Remote Sensing, 2018, 10(2): 277. (第一作者，SCI，SCI与SSCI双检索，IF=5.0)

[11] Wang X, Li K*, Jiang J, et al. Detecting natural gas storage microleakage based on K-means clustering under constraint of Jeffries-Matusita distance criterion using mobile LiDAR data[J]. Journal of Environmental Management, 2024, 370: 122539. (通讯作者，SCI，IF=8.7)

[12] Jiang J, Nie C, Deng J, Li K* et al. Classifying iron ore with water or dust adhesion combining differential feature and random forest using hyperspectral imaging[J]. Minerals Engineering, 2024, 217: 108965. (通讯作者，TOP-SCI，IF=4.5)

[13] Jiang J, Pan Y, Li K*, et al. Underground Natural Gas Microleakage Detection With Hyperspectral Imagery Based on Temporal Features and Ensemble Learning[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023, 17: 1191-1203. (通讯作者，TOP-SCI, IF=5.5)

代表性奖项：

(1) 北京市科协青年人才托举工程，排名第一

(2) 中国煤炭工业协会科学技术奖，一等奖，排名第三

(3) 测绘科技进步，一等奖，排名14

(3) 研究生国家奖学金