2023.11至今       昆明理工大学，国土资源工程学院，校聘副教授；

2021.10 – 2023.06    法国斯特拉斯堡大学，ICube实验室，联合培养博士

2019.09 – 2023.06   中国科学院大学，资源与环境学院，地图学与地理信息系统，理学博士

2015.09 – 2018.06   西北大学，城市与环境学院，地图学与地理信息系统，理学硕士

2011.09 – 2015.06   许昌学院，城市与环境学院，地理信息系统，理学学士

[1] 昆明理工大学高层次人才平台建设项目（第五层次），2023/11-2031/08，在研，主持；

[2] 基于被动微波遥感的全天候地表温度反演方法研究（编号：41871242），国家自然科学基金面上项目，国家自然科学基金委，2019/01-2022/12，已结题，参与，项目执行骨干；

[3] 燕山山地丘陵长时间序列地表温度遥感反演，中央高校基本科研业务费项目，2022/03 -2022/12，已结题，参与，项目执行骨干；

[4] 新疆草地植被变化及驱动机制（编号：2022xjkk0402），国家基础资源调查专项-第三次新疆综合科学考察，2022/01-2025/12，在研，参与，项目执行骨干。

[1] Zhu, X. M., Song, X. N.*, Li, X. T., Zhou, F. C., Gao, H. A physical process-based enhanced adjacent channel retrieval algorithm for obtaining cloudy-sky surface temperature[J]. IEEE Transactions on Geoscience and Remote Sensing, 2024, 62:1-13.

[2] Zhu, X. M., Song, X. N.*, Leng, P., Li, X. T., Gao, L., Ding, L. R., Guo, H. A simplified approach to retrieve the K-band microwave surface emissivity under clear skies[J]. IEEE Geoscience and Remote Sensing Letters, 2022, 19:1-5.

[3] Zhu, X. M., Song, X. N.*, Leng, P., Li, Z. L., Li, X. T., Gao, L., Guo, D. Estimate of cloudy-sky surface emissivity from passive microwave satellite data using machine learning[J]. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60:1-20.

[4] Zhu, X. M., Song, X. N.*, Leng, P., Zhou, F. C., Gao, L., Guo, D. Performances of six reanalysis profile products in the atmospheric correction of passive microwave data for estimating land surface temperature under cloudy-sky conditions[J]. International Journal of Digital Earth, 2022, 15(1):296-322.

[5] Zhu, X. M., Song, X. N.*, Leng, P., Li, X. T., Gao, L., Guo, D., Cai, S. H. A framework for generating high spatiotemporal resolution land surface temperature in heterogeneous areas[J]. Remote Sensing, 2021, 13(19):3885.

[6] Zhu, X. M., Song, X. N.*, Leng, P., Guo, D., Cai, S. H. Impact of atmospheric correction on spatial heterogeneity relations between land surface temperature and biophysical compositions[J]. IEEE Transactions on Geoscience and Remote Sensing, 2020, 59(3):2680-2697.

[7] 祝新明, 宋小宁*, 冷佩, 胡容海. 多尺度地理加权回归的地表温度降尺度研究[J]. 遥感学报, 2021, 25(8):1749-1766.

[8] Zhu, X. M., Wang X. H.*, Yan, D. J., Liu, Z., Zhou, Y. F. Analysis of remotely-sensed ecological indexes' influence on urban thermal environment dynamic using an integrated ecological index: a case study of Xi'an, China[J]. International Journal of Remote Sensing, 2019, 40(9): 3421-3447.

[9] 祝新明, 王旭红*, 周永芳, 吴文恒, 刘状. 建成区扩张下的西安市热环境空间分异性[J]. 生态学杂志, 2017, 36(12):3574-3583.

[10] Zhao, W. T.*, Zhu, X. M., Jiang G. X., Gao, Z. Y. Seasonal variation and land-use/land-cover type impacts on the correlation of urban heat island intensity and difference vegetation index with satellite data in Xi'an, China. Wuhan University Journal of Natural Sciences, 2018, 23(5):387-395.

[11] Yin, D. W., Song, X. N.*, Zhu, X. M., Guo, H., Zhang, Y. R., Zhang, Y. N. Spatiotemporal analysis of soil moisture variability and its driving factor[J]. Remote Sensing, 15(24):5768.

[12] Yan, D. J., Wang, X. H.*, Zhu, X. M., Huang, C., Li, W. P. Analysis of the use of NDWIgreen and NDWIred for inland water mapping in the Yellow River Basin using Landsat-8 OLI imagery, Remote Sensing Letters, 2017, 8(10):996-1005.

[13] Guo, H., Song, X. N.*, Leng, P., Zhu, X. M., Hu, R. H., Guo, D., Gao, L., Wang, Y. F., Xue, K. Higher water ecological service values have better network connectivity in the middle Yellow River basin[J]. Ecological Indicators, 2024, 160(5):111797.

[14] Ding L. R., Zhou, J.*, Li, Z. L., Zhu, X. M., Ma, J., Wang, Z. W., Wang, W., Tang, W. B. Near-Real-Time estimation of hourly all-weather land surface temperature by fusing reanalysis data and geostationary satellite thermal infrared data[J]. IEEE Transactions on Geoscience and Remote Sensing, 2023, 61:1-18.

[15] Ding, L. R., Zhou, J.*, Ma, J., Zhu, X. M., Wang, W., Li, M. S. A spatial downscaling approach for land surface temperature by considering descriptor weight[J]. IEEE Geoscience and Remote Sensing Letters, 2023, 20:1-5.

[16] Li, Y. T., Wu, H.*, Chen, H., Zhu, X. M. A robust framework for resolution enhancement of land surface temperature by combining spatial downscaling and spatiotemporal fusion methods[J]. IEEE Transactions on Geoscience and Remote Sensing, 2023, 61:1-14.

[17] Guo, D., Song, X. N.*, Hu, R. H., Zhu, X. M., Jiang, Y. Z., Cai, S. H., Zhang, Y. N., Cui, X. Y. Large-scale analysis of the spatiotemporal changes of net ecosystem production in Hindu Kush Himalayan region[J]. Remote Sensing, 2021, 13(6):1180.

[18] Gao, L., Song, X. N.*, Leng, P., Ma, J. W., Zhu, X. M., Hu, R. H., Wang, Y. F., Zhang, Y. N., Yin, D. W. Impact of soil salinity on soil dielectric constant and soil moisture retrieval from active microwave remote sensing[J]. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60:1-12.

[19] Shi, C. L., Wang, N. L.*, Zhang, Q., Liu, Z., Zhu, X. M. A comprehensive flexible spatiotemporal data fusion method (CFSDAF) for generating high spatiotemporal resolution land surface temperature in urban area[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022, 15:9885-9899.

[20] Guo, D., Song, X. N.*, Hu, R. H., Cai, S. H., Zhu, X. M., Hao, Y. B. Grassland type-dependent spatiotemporal characteristics of productivity in Inner Mongolia and its response to climate factors[J]. Science of the Total Environment, 2021, 775(25):145644.

[21] 石晨烈, 王旭红*, 张萌, 刘状, 祝新明. 3种时空融合算法在洪水监测中的适用性研究[J]. 国土资源遥感, 2020, 32(2):111-119.

[22] 刘状, 石晨烈, 张萌, 高志远, 祝新明, 王旭红*. 基于聚类分析的气溶胶光学厚度时间变化特征研究[J]. 大气与环境光学学报, 2019, 14(6):411-418.

[23] 刘丹, 王旭红*, 刘状, 闫大江, 祝新明. 近16年渭河下游河流湿地变化分析[J]. 干旱区资源与环境, 2019, 33(5):112-118.

[24] 刘状, 孙曦亮, 刘丹, 王旭红*, 祝新明, 闫大江. 2001—2017年中国北方省份气溶胶光学厚度的时空特征[J]. 环境科学学报, 2018, 38(8):3177-3184.

[25] Shi, C. L., Wang, X. H.*, Zhang, M., Liang, X. J., Niu, L. Z., Han, H. Q., Zhu, X. M. A comprehensive and automated fusion method: the enhanced flexible spatiotemporal data fusion model for monitoring dynamic changes of land surface[J]. Applied Sciences, 2019, 9(18):3693.

[26] Guo, D., Hu, R. H.*, Song, X. N., Li, X. H., Lin, H. L., Zhang, Y. N., Gao, L., Zhu, X. M. Exploring photon-counting laser altimeter ICESAT-2 in retrieving LAI and correcting clumping effect[J]. IEEE Transactions on Geoscience and Remote Sensing, 2023, 61:1-9.

[27] Guo, D., Song, X. N.*, Hu, R. H., Ma, R., Zhang, Y. N., Gao, L., Zhu, X. M. Spatio-temporal variation in leaf area index in the Yan Mountains over the past 40 years and its relationship to hydrothermal conditions[J]. Ecological Indicators, 2023, 157:111291.

[1] 口头报告，第五届热红外遥感大会，2023年8月1日-3日，中国大连，“考虑尺度效应的地表温度时空数据融合研究”.

[2] POSTER，6^th Recent Advances in Quantitative Remote Sensing, 19-23 September 2022, VALENCIA SPAIN, ‘A Physics-based Algorithm for Retrieving Land Surface Temperature under Liquid-phase Clouds’.

[3] POSTER，第五届全国定量遥感学术论坛，2021年6月27日-29日，中国武汉， ‘Microwave Land Surface Emissivity Estimation over the Qinghai-Tibetan Plateau under Non-precipitation Conditions from AMSR-E Measurements’.

[1] 宋小宁, 祝新明, 冷佩, 胡容海, 周芳成, 郭达. 一种协同降尺度与数据融合的高分辨率地表温度估算方法. CN:CN112560570A, 2023-7-25.

[2] 宋小宁, 蔡硕豪, 冷佩, 胡容海, 李小涛, 祝新明. 一种考虑空间异质性的农业干旱指数构建方法. CN:CN114936765A, 2022-8-23.

担任《Remote Sensing of Environment》、《IEEE Transactions on Geoscience and Remote Sensing》、《Remote Sensing》、《IEEE Geoscience and Remote Sensing Letters》和《International Journal of Remote Sensing》等国际SCI期刊审稿人。

欢迎具有地理科学类（地理信息系统、地理科学、自然地理与资源环境）、测绘类（遥感科学与技术、地理国情监测）、大气科学类（大气科学、地球系统科学）、计算机科学与技术等专业背景的学生加入课题组，一起进入遥感技术与应用的学术殿堂。

基本要求：

对遥感科学与技术、地理学和生态学等学科领域具有浓厚兴趣；

踏实认真，刻苦努力，为人真诚；

熟悉Python、Matlab和R等编程语言；

具有良好的英语读写能力和数学基础。