韩玲

韩玲，二级教授、博士生导师，享受国务院政府特殊津贴，中国测绘学会常务理事。先后获得武汉大学摄影测量与遥感专业本科、硕士学位，获得西北大学地球探测与信息技术博士学位。其博士论文为“多源遥感信息融合方法在地学中的应用研究”，获得2007年陕西省优秀博士论文。曾获得全国优秀测绘科技人员称号，陕西省“巾帼建功标兵”称号，夏坚白测绘事业创业与科技创新奖。教育部测绘类（含地理信息）教学指导委员会委员，教育部测绘类（含地理信息）专业国际工程教育认证专家。陕西省土地整治重点实验室主任，地理信息工程国家重点实验室长安大学合作部主任，地理空间信息工程西安市重点实验室主任。遥感科学与技术国家一流专业建设负责人，国家一流课程《遥感地学解译》课程负责人，陕西省遥感科学与技术教学团队负责人，陕西省《遥感技术基础》精品资源共享课负责人，陕西省测绘与地理信息实验教学示范中心主任。

学习与工作经历

2002.9—2005.7 西北大学博士学习

1995.7—1998.6武汉大学摄影测量与遥感专业硕士学习

1983.9—1987.7武汉大学摄影测量与遥感专业本科学习

1987.7—至今长安大学工作

研究领域与方向

遥感技术理论方法、遥感信息智能提取、遥感在土地工程应用、生态环境遥感、地理信息应用等

主持教学与科研项目

1.科技部/重大科技项目：高分航空载荷地质体识别和土地沙质荒漠化调查关键技术研究（在研）

2.国家自然科学基金项目：基于多源异构时空数据融合的黄土区滑坡智能识别研究（在研）

3.国防科工局重点项目：星地协同红外高光谱强对流临近预警技术（在研）

4.陕西省重点研发项目：碳中和与生态保护关键技术研究 （在研）

5.陕西省科技计划重点项目：土地整治关键技术研究（在研）

6.西安市重大成果转化项目：遥感技术在流域治理中的应用（在研）

7.国家重点研发计划项目：黄土丘陵沟壑区沟道及坡面工程的生态安全保障技术与示范（已结题）

8.中央军委高分专项：多源数据配准平差与土壤含水量提取研究（已结题）

9.总装备部-教育部联合基金：多源遥感感知的海上目标自动识别与监测预警（已结题）

10.国家地质大调查项目：陕西1：5万草碧镇，两亭，招贤，千阳，凤翔，姚家沟六副黄土地貌区填土试点（遥感专项）（已结题）

11.陕西省重点基金项目：基于生态系统服务的重大土地工程生态效应评估（已结题）

12.陕西省发改委重大项目：陕西省资源环境承载力评价监测预警（已结题）

13. 教育部遥感科学与技术国家级一流专业建设

14. 教育部国家级一流课程《遥感地学解译》

15. 教育部产学研合作协同育人项目：自然资源大数据实训平台建设

16. 教育部产学研合作协同育人项目：遥感大数据实训平台建设

出版专著与论文

1． Han L, Zhao B, Wu J, et al. A new method for extraction of alteration information using the Landsat 8 imagery in a heavily vegetated and sediments‐covered region: A case study from Zhejiang Province, E. China[J]. Geological Journal, 2018, 53(S1): 33-43.

2． Han L, Zhao B, Wu J J, et al. An integrated approach for extraction of lithology information using the SPOT 6 imagery in a heavily Quaternary‐covered region—North Baoji District of China[J]. Geological Journal, 2018, 53(S1): 352-363.

3． Ling Han, Zhiheng Liu, Yuming Ning, Zhongyang Zhao, Extraction and analysis of geological lineaments combining a DEM and remote sensing images from the northern Baoji   loess area[J]. Advances in Space Research, 2018.

4． Han L, Wu T, Liu Q, et al. A Novel Approach for Cloud Detection in Scenes with Snow/Ice Using High Resolution Sentinel-2 Images[J]. Atmosphere, 2019, 10(2): 44. (SCI, IF:2.397)

5． Liu Z, Han L, Boulton S J, et al. Quantifying the transient landscape response to active faulting using fluvial geomorphic analysis in the Qianhe Graben on the southwest margin of Ordos, China[J]. Geomorphology, 2020, 351: 106974.

6． Wu T, Han L. Cloud Extraction Scheme for Multi-Spectral Images Using Landsat-8 OLI Images With High Brightness Reflectivity Covered[J]. IEEE Access, 2019, 8: 3387-3396.

7． Wu T, Han L, Liu Q. A novel algorithm for differentiating cloud from snow sheets using Landsat 8 OLI imagery[J]. Advances in Space Research, 2019, 64(1): 79-87.

8 .Zhang, T.; Han, L.*; Chen, W.; Shahabi, H. Hybrid Integration Approach of Entropy with Logistic Regression and Support Vector Machine for Landslide Susceptibility Modeling. Entropy 2018, 20, 884.

9. Zhang T , Han L , Han J , et al. Assessment of Landslide Susceptibility Using Integrated Ensemble Fractal Dimension with Kernel Logistic Regression Model[J]. Entropy, 2019, 21(2).

10 ZHANG T, Han L, ZHANG H, et al., GIS-based landslide susceptibility mapping using hybrid integration approaches of fractal dimension with index of entropy and support vector machine[J]. Journal of Mountain Science,2019,16(6).

11 Li L, Han L, Hu H, et al. Standardized object-based dual CNNs for very high-resolution remote sensing image classification and standardization combination effect analysis[J]. International Journal of Remote Sensing, 2020, 41(17): 6635-6663.

12. L. Li, L. Han, M. Ding, Z. Liu and H. Cao, ”Remote Sensing Image Registration Based on Deep Learning Regression Model,” in IEEE Geoscience and Remote Sensing Letters.

13.  Cao H, Han L, Li W, et al. Inversion and distribution of total suspended matter in water based on remote sensing images—A case study on Yuqiao Reservoir, China[J]. Water Environment Research, 2020.

14. Cao H, Han L. Drift path of green tide and the impact of typhoon “Chan-hom”in the Chinese Yellow Sea based on GOCI images in 2015[J]. Ecological Informatics, 2020, 60: 101156.

15. Zhao B, Han L*, Pilz J, et al. Metallogenic efficiency from deposit to region–A case study in western Zhejiang Province, southeastern China[J]. Ore Geology Reviews, 2016, 86:957-970.

16. Zhao B, Han L, Wu J, et al. Ore-and Bio-Geochemical Survey Based on the Landsat Remotely Sensed Data In and Around the Dexing Porphyry Copper-Polymetal Ore-Field, Southeastern China[J]. Journal of the Indian Society of Remote Sensing, 2018, 46(1): 97-107.

17. Liu, Dawei; Han, Ling; Ning, Xiaohong; Zhu, Yongzhong. A Segmentation Method for High Spatial Resolution Remote Sensing Images Based on the Fusion of Multi-features [J]. IEEE Geoscience and Remote Sensing Letters, 2018, 15(8): 1274-1278.

18. Ming Cong, Ling Han, Mingtao Ding, Miaozhong Xu Yiting Tao. Salient man-made object detection based on Saliency Potential Energy for Unmanned Aerial Vehicles Remote Sensing Image[J]. Geocarto International. 2018.

19. Liu Lei, Zhou Jun, Han Ling, et al. Mineral mapping and ore prospecting using Landsat TM and Hyperion data, Wushitala, Xinjiang, northwestern China[J]. Ore Geology Reviews, 2017, 81(1), 280-295.

20. Liu lei, Feng Jilu, Han ling, et al. Mineral mapping using spaceborne Tiangong-1 hyperspectral imagery and ASTER data: a case study of alteration detection in support of regional geological survey at Jintanzi-Malianquan area, Beishan, Gansu province, China[J]. Geological Journal, 2018.

21. Yang, M., Ye, M., Han, H., Ren, G., Han, L., Zhang, Z. Near-infrared spectroscopic study of chlorite minerals. Journal of Spectroscopy, 2018(1), 1-11.

22. Liu, L., Feng, J., Rivard, B., Xu, X., Zhou, J., Han, L., et al. Mapping alteration using imagery from the tiangong-1 hyperspectral spaceborne system: example for the jintanzi gold province, china. International Journal of Applied Earth Observation Geoinformation,59, 31-41.

23. Liu L, Li Y, Zhou J, Han L, Xu X. Gold-copper deposits in Wushitala, Southern Tianshan, Northwest China: Application of ASTER data for mineral exploration. Geological Journal.2018, 53(S2):362-371.

24. Liu L, Zhou J, Han L, et al. Mineral mapping and ore prospecting using Landsat TM and Hyperion data, Wushitala, Xinjiang, northwestern China[J]. Ore Geology Reviews, 2017,81:280-295.

25. Wang B, Jing D, Zhang B, Han L, Jiang C. Petrology and geochemistry of carboniferous volcanic rocks from the Awulale Iron Metallogenetic Belt in the West Tianshan Orogen (NW China): Constraints on petrogenesis and tectonic setting. Geological Journal. 2018,1–29.

26. L. Li, L. Han, M. Ding, Z. Liu and H. Cao, ”Remote Sensing Image Registration Based on Deep Learning Regression Model,” in IEEE Geoscience and Remote Sensing Letters, doi: 10.1109/LGRS.2020.3032439.

27. Cao H, Han L, Zhang Q, et al. Influence of different linear polarized light on the measurement of water absorption coefficient: a case study in Qujiang Lake, China[J]. Applied Optics, 2021, 60(3): 526-532.

29. Cao H, Han L, Liu Z, et al. Monitoring and driving force analysis of spatial and temporal change of water area of Hongjiannao Lake from 1973 to 2019[J]. Ecological Informatics,

2021, 61: 101230.

30. Li L, Han L, Ding M, et al. A deep learning semantic template matching framework for remote sensing image registration[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2021, 181: 205-217.

31. Hu H, Han L, Li L, et al. Soil heavy metal pollution source analysis based on the land use type in Fengdong District of Xi’an, China[J]. Environmental Monitoring and Assessment,

2021, 193(10): 1-14.

32. Zongfan B, Ling H, Xuhai J, et al. Spatiotemporal evolution of desertification based on integrated remote sensing indices in Duolun County, Inner Mongolia[J]. Ecological Informatics, 2022, 70: 101750.

33. Lu J, Han L, Zha X, et al. Lithology classification in semi-arid areas based on vegetation suppression integrating microwave and optical remote sensing images: Duolun county, Inner Mongolia autonomous region, China[J]. Geocarto International, 2022: 1-24.

34. Cao H, Han L, Liu Z, et al. Monitoring and driving force analysis of spatial and temporal change of water area of Hongjiannao Lake from 1973 to 2019[J]. Ecological Informatics,

2021, 61: 101230.

35. Cao H, Han L, Li L. A deep learning method for cyanobacterial harmful algae blooms prediction in Taihu Lake, China[J]. Harmful Algae, 2022, 113: 102189.

36. Cao H, Han L, Li L. Changes in extent of open-surface water bodies in China’s Yellow River Basin (2000–2020) using Google Earth Engine cloud platform[J]. Anthropocene,

37. 高分辨率主动微波遥感的土壤水分反演与不确定性分析科学出版社2019

38. 黄土丘陵沟壑区灾损土地评价及土地整治评估应用 科学出版社2021

39. 西安市土地利用变化及热岛效应科学出版社2018

40. 遥感陆表数据重建与时空分析应用 科学出版社2018

41. 遥感信息提取及地质解译科学出版社2017

42. 浙西覆盖区矿致异常提取与成矿效率研究 科学出版社2016

43 鄂尔多斯西南缘流域地貌相应构造隆升研究 科学出版社2023

教学和科研成果简介：

近年来获得国家级教学成果奖二等奖2项，获得省部级教学科研奖励11项。已发表相关学术论文100余篇。其中被SCI，EI检索60余篇，出版教材3部，出版学术专著7部，获批发明专利8项，获软件著作权17项。

荣誉奖励

陕西高校巾帼建功标兵

陕西省优秀博士学位论文

夏坚白测绘事业创业与科技创新奖

陕西省教学名师奖

   社会职务

教育部高等学校测绘类（含地理信息）教学指导委员会委员

教育部高等学校测绘类（含地理信息）本科国际工程专业认证专家

教育部高等学校本科审核评估专家

陕西省土地整治重点实验室主任

地理信息工程国家重点实验室长安大学合作部主任

地理空间信息西安市重点实验室主任

中国测绘学会常务理事

陕西省教学指导委员会委员