基本信息
潘贤章 男 博导 中国科学院南京土壤研究所
电子邮件: panxz@issas.ac.cn
通信地址: 南京北京东路71号
邮政编码: 210008
电子邮件: panxz@issas.ac.cn
通信地址: 南京北京东路71号
邮政编码: 210008
研究领域
土壤资源信息学,擅长土壤定量遥感,利用遥感光谱进行土壤信息获取和土壤属性区域制图;从事土壤信息挖掘,利用深度学习方法进行土壤数字制图。
招生信息
主要招收具有一定数理基础和土壤学背景的,愿意从事土壤定量遥感及制图工作的硕士和博士研究生。
招生专业
090301-土壤学070503-地图学与地理信息系统090320-资源环境与遥感信息
招生方向
土壤资源遥感土壤信息及应用土壤定量遥感
教育背景
2002-09--2005-07 中国科学院研究生院 研究生/博士1996-09--2000-01 南京土壤研究所 研究生/硕士1992-12--1998-07 南京土壤研究所 助理研究员1983-09--1987-06 华中农学院 学士
学历
博士研究生
学位
获得农业资源环境-土壤学博士学位。
工作经历
自1987年大学毕业后,持续在南京土壤研究所从事研究工作。
工作简历
2009-12~2011-07,南京土壤研究所, 研究员1998-07~2009-12,南京土壤研究所, 副研究员1987-07~1992-12,中国科学院南京土壤研究所, 研究实习员
教授课程
高等土壤学土壤资源概论
专利与奖励
拥有使用新型专利“双筒式植物根系原位观测系统装置”
奖励信息
(1) 江苏省第二届优秀学位论文, 一等奖, 省级, 2002(2) 全国统计科学技术进步特等奖, 特等奖, 部委级, 1999(3) 中国科学院科技进步一等奖, 一等奖, 院级, 1991
专利成果
[1] 徐胜祥, 赵永存, 史学正, 潘贤章, 王昌昆. 一种基于高光谱成像和支持向量机技术的原状土壤剖面碳组分预测方法. CN: CN113436153B, 2023-07-14.[2] 徐胜祥, 刘峰, 潘贤章, 王昌昆. 基于机器学习的土壤剖面氮素含量高光谱检测及可视化方法. CN: CN115508292A, 2022-12-23.[3] 王昌昆, 王欣怡, 潘贤章. 一种基于最优时间窗口选择的土壤遥感反演方法. CN: CN115495988A, 2022-12-20.[4] 潘贤章, 孙维维, 刘杰, 张芳芳, 马海艺, 王昌昆. 一种化工企业污染风险要素分布识别方法及装置. CN: CN115223046A, 2022-10-21.[5] 王昌昆, 王欣怡, 潘贤章. 一种基于最优时间窗口选择的土壤遥感反演方法. ZL 2022 1 1189137.7, 2022-09-28.[6] 王昌昆, 潘贤章. 一种基于高光谱成像技术的土壤剖面颜色获取方法. CN: CN114216866A, 2022-03-22.[7] 徐胜祥, 赵永存, 史学正, 潘贤章, 王昌昆. 一种基于高光谱成像和支持向量机技术的原状土壤剖面碳组分预测方法. CN: CN113436153A, 2021-09-24.[8] 潘恺, 潘贤章. 一种基于超绿指数及超像素的土壤图像分割提取方法. CN: CN113205525A, 2021-08-03.[9] 王昌昆, 潘贤章. 一种面向土壤属性预测与制图的亮温或陆面温度协同变量构建选择方法. CN: CN109357765B, 2019-09-10.[10] 刘娅, 潘贤章, 王昌昆. 一种基于局域相近像元的混合像元分解方法. CN: CN109871774A, 2019-06-11.[11] 王昌昆, 潘贤章. 一种面向土壤属性预测与制图的亮温/陆面温度协同变量构建选择方法. CN: CN109357765A, 2019-02-19.[12] 潘贤章, 吴士文. 基于高光谱成像的土壤剖面信息原位采集装置. CN: CN207937343U, 2018-10-02.[13] 潘贤章, 李燕丽. 双筒式植物根系原位观测系统装置. CN: CN205679254U, 2016-11-09.
出版信息
发表论文及专著如下。
发表论文
[1] Xu, Aiai, Guo, Zhiying, Pan, Kai, Wang, Changkun, Zhang, Fangfang, Liu, Jie, Pan, Xianzhang. Increasing land-use durations enhance soil microbial deterministic processes and network complexity and stability in an ecotone. APPLIED SOIL ECOLOGY[J]. 2023, 181: http://dx.doi.org/10.1016/j.apsoil.2022.104630.[2] Haiyi Ma, Changkun Wang, Jie Liu, Xinyi Wang, Fangfang Zhang, Ziran Yuan, Chengshuo Yao, Xianzhang Pan. A Framework for Retrieving Soil Organic Matter by Coupling Multi-Temporal Remote Sensing Images and Variable Selection in the Sanjiang Plain, China. Remote Sensing[J]. 2023, 15(12): https://www.mdpi.com/2072-4292/15/12/3191.[3] 徐爱爱, 刘杰, 王昌昆, 郭志英, 潘恺, 张芳芳, 潘贤章. 土壤细菌多样性空间预测方法对比. 生态学杂志[J]. 2022, 41(4): 813-821, http://lib.cqvip.com/Qikan/Article/Detail?id=7107168518.[4] 曹振, 王昌昆, 马海艺, 刘杰, 徐爱爱, 张芳芳, 杨颖, 潘贤章. 基于Landsat-8数据的土壤颜色预测方法研究. 土壤[J]. 2022, 54(1): 152-160, http://lib.cqvip.com/Qikan/Article/Detail?id=7106680949.[5] Zhang, Fangfang, Wang, Changkun, Pan, Kai, Guo, Zhiying, Liu, Jie, Xu, Aiai, Ma, Haiyi, Pan, Xianzhang. The Simultaneous Prediction of Soil Properties and Vegetation Coverage from Vis-NIR Hyperspectral Data with a One-Dimensional Convolutional Neural Network: A Laboratory Simulation Study. REMOTESENSING[J]. 2022, 14(2): http://dx.doi.org/10.3390/rs14020397.[6] Liu, Jie, Wang, Changkun, Guo, Zhiying, Xu, Aiai, Pan, Kai, Pan, Xianzhang. The effects of climate on soil microbial diversity shift after intensive agriculture in arid and semiarid regions. SCIENCE OF THE TOTAL ENVIRONMENT[J]. 2022, 821: http://dx.doi.org/10.1016/j.scitotenv.2022.153075.[7] 杨颖, 郭志英, 潘恺, 王昌昆, 潘贤章. 基于生态系统多功能性的农田土壤健康评价. 土壤学报[J]. 2022, 59(2): 461-475, http://lib.cqvip.com/Qikan/Article/Detail?id=7107205875.[8] Liu, Jie, Wang, Changkun, Guo, Zhiying, Liu, Ya, Pan, Kai, Xu, Aiai, Zhang, Fangfang, Pan, Xianzhang. Linking soil bacterial diversity to satellite-derived vegetation productivity: a case study in arid and semi-arid desert areas. ENVIRONMENTAL MICROBIOLOGY[J]. 2021, 23(10): 6137-6147, http://dx.doi.org/10.1111/1462-2920.15683.[9] Zhang, Fangfang, Wu, Shiwen, Liu, Jie, Wang, Changkun, Guo, Zhiying, Xu, Aiai, Pan, Kai, Pan, Xianzhang. Predicting soil moisture content over partially vegetation covered surfaces from hyperspectral data with deep learning. SOIL SCIENCE SOCIETY OF AMERICA JOURNAL[J]. 2021, 85(4): 989-1001, http://dx.doi.org/10.1002/saj2.20193.[10] Liu, Ya, Wang, Changkun, Xiao, Chenchao, Shang, Kun, Zhang, Yan, Pan, Xianzhang. Prediction of multiple soil fertility parameters using VisNIR spectroscopy and PXRF spectrometry. SOIL SCIENCE SOCIETY OF AMERICA JOURNAL[J]. 2021, 85(3): 591-605, http://dx.doi.org/10.1002/saj2.20223.[11] Xu, Aiai, Liu, Jie, Guo, Zhiying, Wang, Changkun, Pan, Kai, Zhang, Fangfang, Pan, Xianzhang. Distinct Assembly Processes and Determinants of Soil Microbial Communities between Farmland and Grassland in Arid and Semiarid Areas. APPLIED AND ENVIRONMENTAL MICROBIOLOGY[J]. 2021, 87(22): http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000713169300001.[12] Xu, Aiai, Liu, Jie, Guo, Zhiying, Wang, Changkun, Pan, Kai, Zhang, Fangfang, Pan, Xianzhang. Soil microbial community composition but not diversity is affected by land-use types in the agro-pastoral ecotone undergoing frequent conversions between cropland and grassland. GEODERMA[J]. 2021, 401: http://dx.doi.org/10.1016/j.geoderma.2021.115165.[13] Liu, Jie, Xu, Aiai, Wang, Changkun, Guo, Zhiying, Wu, Shiwen, Pan, Kai, Zhang, Fangfang, Pan, Xianzhang. Soil microbiotic homogenization occurred after long-term agricultural development in desert areas across northern China. LAND DEGRADATION & DEVELOPMENT[J]. 2020, 31(8): 1014-1025, http://dx.doi.org/10.1002/ldr.3521.[14] Liu, Ya, Deng, Chao, Lu, Yuanyuan, Shen, Qianyan, Zhao, Haifeng, Tao, Yuting, Pan, Xianzhang. Evaluating the characteristics of soil vis-NIR spectra after the removal of moisture effect using external parameter orthogonalization. GEODERMA[J]. 2020, 376: http://dx.doi.org/10.1016/j.geoderma.2020.114568.[15] 潘贤章. Evaluating the characteristics of soil vis-NIR spectra after tthe removal of moisture effect using external parameter orthogonalization. GEODERMA. 2020, [16] Shi, Yu, Li, Yuntao, Yuan, Meiqing, Adams, Jonathan M, Pan, Xianzhang, Yang, Yunfeng, Chu, Haiyan. A biogeographic map of soil bacterial communities in wheats field of the North China Plain. 土壤生态学快报(英文)[J]. 2019, 1(1): 50-58, http://lib.cqvip.com/Qikan/Article/Detail?id=7106177589.[17] Wu Shiwen, Wang Changkun, Liu Ya, Li Yanli, Liu Jie, Xu Aiai, Pan Kai, Li Yichun, Zhang Fangfang, Pan Xianzhang. Inversion and Mapping of the Moisture Content in Soil Profiles Based on Hyperspectral Imaging Technology. SPECTROSCOPY AND SPECTRAL ANALYSIS[J]. 2019, 39(9): 2847-2854, [18] 潘恺, 郭志英, 刘杰, 王昌昆, 宋歌, 贾仲君, 潘贤章. 中国土壤微生物组数据平台的构建与实现. 土壤学报[J]. 2019, 56(5): 1023-1033, http://lib.cqvip.com/Qikan/Article/Detail?id=7003080650.[19] Liu, Jie, Guo, Zhiying, Xu, Aiai, Wang, Changkun, Wu, Shiwen, Liu, Ya, Pan, Kai, Zhang, Fangfang, Pan, Xianzhang. Consistent spatial distribution patterns of bacterial communities revealed by serial time-archived soils from long-term field experiments. SOIL BIOLOGY & BIOCHEMISTRY[J]. 2019, 133: 137-145, http://dx.doi.org/10.1016/j.soilbio.2019.02.020.[20] Jie Liu, Zhiying Guo, Aiai Xu, Changkun Wang, Shiwen Wu, Ya Liu, Kai Pan, Fangfang Zhang, Xianzhang Pan. Consistent spatial distribution patterns of bacterial communities revealed by serial time-archived soils from long-term field experiments. SOIL BIOLOGY AND BIOCHEMISTRY. 2019, 133: 137-145, http://dx.doi.org/10.1016/j.soilbio.2019.02.020.[21] 潘贤章. 高光谱成像的土壤剖面水分含量反演及制图. 光谱学与光谱分析. 2019, [22] Liu, Ya, Zhang, Fangfang, Wang, Changkun, Wu, Shiwen, Liu, Jie, Xu, Aiai, Pan, Kai, Pan, Xianzhang. Estimating the soil salinity over partially vegetated surfaces from multispectral remote sensing image using non-negative matrix factorization. GEODERMA[J]. 2019, 354: http://dx.doi.org/10.1016/j.geoderma.2019.113887.[23] Liu, Jie, Guo, Zhiying, Xu, Aiai, Wang, Changkun, Wu, Shiwen, Pan, Kai, Zhang, Fangfang, Pan, Xianzhang. Spatial differences in bacterial communities preserved in soils archived for a decade. APPLIED SOIL ECOLOGY[J]. 2019, 142: 64-71, http://dx.doi.org/10.1016/j.apsoil.2019.05.021.[24] Zhao, Yongcun, Wang, Meiyan, Hu, Shuijin, Zhang, Xudong, Ouyang, Zhu, Zhang, Ganlin, Huang, Biao, Zhao, Shiwei, Wu, Jinshui, Xie, Deti, Zhu, Bo, Yu, Dongsheng, Pan, Xianzhang, Xu, Shengxiang, Shi, Xuezheng. Economics- and policy-driven organic carbon input enhancement dominates soil organic carbon accumulation in Chinese croplands. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA[J]. 2018, 115(16): 4045-4050, http://dx.doi.org/10.1073/pnas.1700292114.[25] Liu, Ya, Xie, Xianli, Wang, Miao, Zhao, Qiguo, Pan, Xianzhang. Removing the Effects of Iron Oxides from Vis-NIR Spectra for Soil Organic Matter Prediction. SOIL SCIENCE SOCIETY OF AMERICA JOURNAL[J]. 2018, 82(1): 87-95, http://dx.doi.org/10.2136/sssaj2017.07.0235.[26] Wu, Shiwen, Wang, Changkun, Liu, Ya, Li, Yanli, Liu, Jie, Xu, Aiai, Pan, Kai, Li, Yichun, Pan, Xianzhang. Mapping the Salt Content in Soil Profiles using Vis-NIR Hyperspectral Imaging. SOIL SCIENCE SOCIETY OF AMERICA JOURNAL[J]. 2018, 82(5): 1259-1269, https://www.webofscience.com/wos/woscc/full-record/WOS:000446667000025.[27] 李怡春, 潘恺, 王昌昆, 刘娅, 吴士文, 刘杰, 徐爱爱, 潘贤章. 基于PLSR的土壤颜色预测方法及其与色系转换法的对比研究. 土壤学报[J]. 2018, 55(6): 1411-1421, http://lib.cqvip.com/Qikan/Article/Detail?id=6100077980.[28] 潘贤章, 张甘霖, 史舟, 徐冬云, 滕洪芬, 胡月明. 土壤星地传感技术现状与发展趋势. 地理科学进展[J]. 2018, 37(1): 79-92, http://lib.cqvip.com/Qikan/Article/Detail?id=674604741.[29] Wang, C K, Li, Z T, Pan, X Z. Estimating crop residue cover using SPOT 5 data. JOURNAL OF SOIL AND WATER CONSERVATION[J]. 2017, 72(4): 343-350, [30] 李燕丽, 吴士文, 刘娅, 王昌昆, 刘杰, 徐爱爱, 潘贤章. 基于FastICA盲源分离法去除土壤干扰的小麦生物量高光谱估算. 生态学杂志[J]. 2017, 36(4): 1158-1164, https://d.wanfangdata.com.cn/periodical/stxzz201704035.[31] Wang, Changkun, Zhang, Taolin, Pan, Xianzhang. Potential of visible and near-infrared reflectance spectroscopy for the determination of rare earth elements in soil. GEODERMA[J]. 2017, 306: 120-126, http://dx.doi.org/10.1016/j.geoderma.2017.07.016.[32] Li, Yanli, Liu, Ya, Wu, Shiwen, Wang, Changkun, Xu, Aiai, Pan, Xianzhang. Hyper-spectral estimation of wheat biomass after alleviating of soil effects on spectra by non-negative matrix factorization. EUROPEAN JOURNAL OF AGRONOMY[J]. 2017, 84: 58-66, http://dx.doi.org/10.1016/j.eja.2016.12.003.[33] 宋歌, 施建平, 侯卫龙, 解宪丽, 潘贤章, 陈春兰, 党廷辉, 樊月玲, 傅伟, 郝翔翔, 何永涛, 况福虹, 兰中东, 李国振, 李伟, 李小军, 李小丽, 李晓明, 李玉强, 林丽, 刘海丰, 刘素萍, 鲁志云, 热甫开提, 沙丽清, 苏永中, 田振荣, 王书伟, 王小亮, 吴瑞俊, 杨风亭, 杨桂生, 叶学华, 于小军, 曾静, 张德强, 张玉铭, 郑兴波, 宗海宏. 1995~2011年CERN土壤环境元素含量数据集. 中国科学数据:中英文网络版[J]. 2017, 11-, http://lib.cqvip.com/Qikan/Article/Detail?id=7101582312.[34] 潘贤章. Can subsoil salinity be predicted by topsoil surface spectral information? – From the perspective of structural equation modeling. Biosystems Engineering. 2016, [35] 潘恺, 宋歌, 施建平, 周睿, 肖艳丽, 冯春美, 王昌昆, 潘贤章. 1989~2013年中国土壤样品库数据集. 中国科学数据:中英文网络版[J]. 2016, 8-12, http://lib.cqvip.com/Qikan/Article/Detail?id=7101582574.[36] Liu, Ya, Pan, Xianzhang, Wang, Changkun, Li, Yanli, Shi, Rongjie. Can subsurface soil salinity be predicted from surface spectral information? - From the perspective of structural equation modelling. BIOSYSTEMS ENGINEERING[J]. 2016, 152: 138-147, http://dx.doi.org/10.1016/j.biosystemseng.2016.06.008.[37] Wang, Changkun, Pan, Xianzhang. Improving the prediction of soil organic matter using visible and near infrared spectroscopy of moist samples. JOURNAL OF NEAR INFRARED SPECTROSCOPY[J]. 2016, 24(3): 231-241, https://www.webofscience.com/wos/woscc/full-record/WOS:000381677800005.[38] Wang, Changkun, Pan, Xianzhang. Estimation of Clay and Soil Organic Carbon Using Visible and Near-Infrared Spectroscopy and Unground Samples. SOIL SCIENCE SOCIETY OF AMERICA JOURNAL[J]. 2016, 80(5): 1393-1402, https://www.webofscience.com/wos/woscc/full-record/WOS:000386463900025.[39] 刘娅, 潘贤章, 王昌昆, 李燕丽, 石荣杰, 李志婷. 基于差异化光谱指数的盐渍土水分含量预测①--以滨海盐土为例. 土壤[J]. 2016, 48(2): 381-388, https://d.wanfangdata.com.cn/periodical/tr201602026.[40] 刘娅, 潘贤章, 石荣杰, 李燕丽, 王昌昆, 李志婷. 基于盲源分离的稀疏植被区土壤含盐量反演. 土壤学报[J]. 2016, 53(2): 322-331, https://d.wanfangdata.com.cn/periodical/trxb201602005.[41] 李志婷, 王昌昆, 潘贤章, 刘娅, 李燕丽, 石荣杰. 基于模拟Landsat-8 OLI数据的小麦秸秆覆盖度估算. 农业工程学报[J]. 2016, 145-152, http://lib.cqvip.com/Qikan/Article/Detail?id=6788971852016S1021.[42] Rui Zhou, Xianzhang Pan, Hongxu Wei, Xianli Xie, Changkun Wang, Ya Liu, Yanli Li, Rongjie Shi. Soil Organic Carbon Stocks in Terrestrial Ecosystems of China: Revised Estimation on Three-Dimensional Surfaces. SUSTAINABILITY[J]. 2016, 8(10): https://doaj.org/article/2214ecede9204f03901198b8e39c5d71.[43] DeCai Wang, GanLin Zhang, MingSong Zhao, XianZhang Pan, YuGuo Zhao, DeCheng Li, Bob Macmillan. Retrieval and Mapping of Soil Texture Based on Land Surface Diurnal Temperature Range Data from MODIS. PLOS ONE[J]. 2015, 10(6): https://doaj.org/article/9ff8117891d34800a7136c89d336247b.[44] Shi Rongjie, Pan Xianzhang, Wang Changkun, Liu Ya, Li Yanli, Li Zhiting. Prediction of Cadmium Content in the Leaves of Navel Orange in Heavy Metal Contaminated Soil Using VIS-NIR Reflectance Spectroscopy. SPECTROSCOPY AND SPECTRAL ANALYSIS[J]. 2015, 35(11): 3140-3145, https://www.webofscience.com/wos/woscc/full-record/WOS:000364503600033.[45] Liu, Ya, Pan, Xianzhang, Wang, Changkun, Li, Yanli, Shi, Rongjie. Predicting Soil Salinity with Vis-NIR Spectra after Removing the Effects of Soil Moisture Using External Parameter Orthogonalization. PLOS ONE[J]. 2015, 10(10): https://www.webofscience.com/wos/woscc/full-record/WOS:000363184600098.[46] Shi Rongjie, Pan Xianzhang, Wang Changkun, Liu Ya, Li Yanli, Li Zhiting. Prediction of Cadmium Content in the Leaves of Navel Orange in Heavy Metal Contaminated Soil Using VIS-NIR Reflectance Spectroscopy. SPECTROSCOPY AND SPECTRAL ANALYSIS[J]. 2015, 35(11): 3140-3145, https://www.webofscience.com/wos/woscc/full-record/WOS:000364503600033.[47] 潘贤章. 污染土壤对脐橙叶片镉含量影响的光谱预测. 光谱学与光谱分析. 2015, [48] 潘贤章. 基于模拟数据评估Landsat-8 OLI的小麦秸秆覆盖度估算能力. 农业工程学报. 2015, [49] Liu, Ya, Pan, XianZhang, Shi, RongJie, Li, YanLi, Wang, ChangKun, Li, ZhiTing. Predicting Soil Salt Content Over Partially Vegetated Surfaces Using Non-Negative Matrix Factorization. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING[J]. 2015, 8(11): 5305-5316, https://doaj.org/article/e69ea54d292242ea984a39e1d8c90905.[50] 潘贤章. 2000—2011 年广西植被净初级生产力 时空分布特征及其驱动因素. 生态学报. 2014, [51] 潘贤章. 广西中南部耕地土壤有机质和 全氮变化的遥感监测. 生态学报. 2014, [52] 周睿, 潘贤章, 王昌坤, 刘娅, 李燕丽, 石荣杰, 解宪丽. 上海市城郊土壤有机质的时空变异特征及其影响因素. 土壤[J]. 2014, 46(3): 433-438, https://d.wanfangdata.com.cn/periodical/tr201403008.[53] Liu Jiyuan, Kuang Wenhui, Zhang Zengxiang, Xu Xinliang, Qin Yuanwei, Ning Jia, Zhou Wancun, Zhang Shuwen, Li Rendong, Yan Changzhen, Wu Shixin, Shi Xuezheng, Jiang Nan, Yu Dongsheng, Pan Xianzhang, Chi Wenfeng. Spatiotemporal characteristics, patterns, and causes of land-use changes in China since the late 1980s. JOURNAL OF GEOGRAPHICAL SCIENCES[J]. 2014, 24(2): 195-210, http://159.226.73.51/handle/332005/12875.[54] Liu Ya, Pan Xianzhang, Wang Changkun, Li Yanli, Shi Rongjie, Zhou Rui, Xie Xianli. 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科研活动
科研项目涉及土壤遥感、土壤信息以及数据平台,还从事土壤生态长期监测方面工作。
科研项目
( 1 ) 农田有机物质投入量估算模型及区域拓展方法, 主持, 部委级, 2011-01--2015-12( 2 ) 土壤学科领域基础科学数据整合与集成应用, 主持, 部委级, 2013-06--2015-12( 3 ) 水稻土分布及面积调查, 主持, 部委级, 2015-06--2019-12( 4 ) 土壤微生物数据整合及平台, 主持, 部委级, 2014-06--2018-12( 5 ) CERN观测指标、方法及规范的研究与修订, 主持, 部委级, 2016-01--2017-12( 6 ) 土壤样品长期保存系统, 主持, 部委级, 2016-01--2016-12
参与会议
(1)Monitoring salt content in soil profile by hyperspectral imaging spectroscopy 2017-06-15
指导学生
已指导学生
刘娅 硕士研究生 090320-资源环境与遥感信息
李燕丽 硕士研究生 090320-资源环境与遥感信息
石荣杰 硕士研究生 090320-资源环境与遥感信息
刘娅 博士研究生 090320-资源环境与遥感信息
王昌昆 博士研究生 090301-土壤学
李志婷 硕士研究生 070503-地图学与地理信息系统
李燕丽 博士研究生 0903Z1-资源环境与遥感信息
现指导学生
吴士文 博士研究生 0903Z1-资源环境与遥感信息
刘杰 博士研究生 0903Z1-资源环境与遥感信息
李怡春 硕士研究生 070503-地图学与地理信息系统
徐爱爱 博士研究生 090301-土壤学
张芳芳 硕士研究生 070503-地图学与地理信息系统
潘恺 博士研究生 0903Z1-资源环境与遥感信息