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讲师
郭龙
发布人:发布时间:2016-07-31

姓名:郭龙 职称:讲师

邮箱:guolong@mail.hzau.edu.cn

研究方向:计量地理学模型、定量遥感和数字土壤制图


工作经历:

1 2016.7~至今 华中农业大学资源与环境学院资源环境信息系,讲师

2 2020.7~至今 中国科学院南京土壤所,博士后,合作导师:张甘霖教授


教育背景:

1 2013.09~2016.6 武汉大学资源与环境科学学院地图学与地理信息系统,博士(刘耀林教授)

2 2015.8.18~2016.4.20 美国爱荷华大学地理与可持续研究科学系,联合培养博士(Professor Marc Linderman

3 2010.09~2013.06 华中农业大学资源与环境学院资源环境信息系,研究生(张海涛副教授)

4 2006.09~2010.06 华中农业大学资源与环境学院地理信息系统,本科生


个人简介:

研究专注于利用多源异构自然环境和人为活动数据进行土壤属性反演制图、农作物长势监测和生态环境评估等,重在探索环境变量与土壤属性之间的相互作用关系,土壤养分和作物生长之间的内在循环机理和特性,从时空角度分析土壤属性与生态环境效应之间的变化趋势和协同作用,为农田管理、城市健康、生态环境评估等提供有价值的信息。主要研究成果表现在:将空间信息融合到土壤光谱模型和土壤环境建模中,提高了土壤模型质量和精度;借助于无人机和机载高光谱遥感影像,将高光谱技术推广到数字土壤制图中,实现了连续性高精度土壤图;针对平原区域和植被覆盖的情况,研究中创新性的提出借助于农作物生长状态受土壤肥力影响的特性,融合大数据挖掘技术和机器学习语言,实现了平原区域的数字土壤制图。

近年来在国内外知名期刊杂志发表学术论文40余篇,其中,第一/通讯作者身份发表论文18篇,其中SCI论文14篇(Top期刊7篇),发表在GeodermaSoil&Tillage Research和土壤学报等知名期刊。主持湖北省自然科学基金1项,入选王宽诚基金会青年人才(2019年)、中国科协优秀中外青年交流计划(2019年)和华中农业大学青年骨干国际培养计划(2020年),获中国地理学会青年教师优秀报告奖(2018年)和中国农业资源与区划学会科学技术一等奖(排名第62019年)。指导培养学生方面获2018-2019学年度校级优秀班主任(被楚天都市报专版报道),2016-2017年度院级优秀班主任,2017年青年教师讲课比赛院系三等奖和2019年青年教师讲课比赛院系二等奖。


主持科研项目:

1. 2020/05~2024/04,华中农业大学自主科技创新基金,标志性成果培育,滨湖平原农田景观格局下土壤有机碳空间分布规律及耦合机制,6万,在研,主持

2. 2018/01~2020/01,湖北省青年自然科学基金,基于近地可见光近红外光谱技术的油菜田土壤有机氮含量的快速反演与制图,2018CFB3723万元,结题,主持

3. 2016/01~2018/12,华中农业大学自主科技创新基金,2662016QD032,近红外光谱和环境变量在土壤重金属含量预测及驱动因素评价中的应用,15万元,结题,主持


荣誉称号:

1. 2020年华中农业大学青年骨干国际培养计划,青年骨干教师访问学者计划

2. 2020年教育部港澳台事务办公室与王宽诚教育基金会,王宽诚基金会青年人才资助计划

3. 2019年中国科协组织人事部,2019年中国科协优秀中外青年交流计划

4. 2019年中国农业资源与区划学会科学技术一等奖(排名第6

5. 2018年中国地理学会青年教师优秀报告奖

6. 2017年学院考核优秀,2018年校级考核优秀

7. 2018-2019学年度校级优秀班主任,2016-2017年度院级优秀班主任(楚天都市报专题报道,乘风破浪实现理想,华中农大这个班100%就业:http://www.ctdsb.net/html/2020/0810/hubei326591.html?mobid=HohCL

8. 2017年青年教师讲课比赛院系三等奖,2019年青年教室讲课比赛院系二等奖


已经毕业学生:

2020届:罗梅,琚清兰(联合培养)


论文成果(更新至20214月):


2021年:

[1] Guo Long, Sun Xiaoru, Fu Peng, Shi Tiezhu, Dang Lina, Chen Yiyun, M.Linderman, Zhang Ganlin, Zhang Yu *, Jiang Qinghu *, Zhang Haitao *, Zeng Chen. Mapping soil organic carbon stock by hyperspectral and time-series multispectral remote sensing images in low-relief agricultural areas. Geoderma, 2021 (accept)

[2] Guo Long, Fu Peng, Shi Tiezhu, Chen Yiyun, Zeng Chen, Zhang Haitao, Wang Shanqin. Exploring influence factors in mapping soil organic carbon on low-relief agricultural lands using time series of remote sensing data. Soil and Tillage Research, 2021, 210: 104982

[3] Zhang, Yangchengsi; Du, Jiaqiang; Guo, Long; Sheng, Zhilu; Wu, Jinhua; Zhang, Jing. Water Conservation Estimation Based on Time Series NDVI in the Yellow River Basin, Remote Sens. 2021,13 (6): 1105. DOI: 10.3390/rs13061105

[4] Shi Tiezhu, Yang Chao, Liu Huizeng, Wu Chao, Wang Zhihua, Li He, Zhang Huifang, Guo Long, Wu Guofeng, Su Fenzhen. Mapping lead concentrations in urban topsoil using proximal and remote sensing data and hybrid statistical approaches. Environmental Pollution, 2021, 272


2020年:

[1] Guo Long, Fu Peng, Shi Tiezhu, Chen Yiyun, Zhang Haitao, Meng Ran, Wang Shanqin. Mapping field-scale soil organic carbon with unmanned aircraft system-acquired time series multispectral images. Soil and Tillage Research, 2020, 196: 104477

[2] Hong Yongsheng, Chen Songchao, Chen Yiyun, Linderman Marc, Mouazen Abdul M., Liu Yaolin*, Guo Long*, Yu Lei, Liu Yanfang, Cheng Hang, Liu Yi. Comparing laboratory and airborne hyperspectral data for the estimation and mapping of topsoil organic carbon: Feature selection coupled with random forest. Soil and Tillage Research, 2020, 199: 104589

[3] 罗梅, 郭龙*, 张海涛, 汪善勤, 梁攀. 基于环境变量的中国土壤有机碳空间分布特征. 土壤学报, 2020, 57(7): 48-59

[4] Xu Lu, Hong Yongsheng, Wei Yu, Guo Long, Shi Tiezhu, Liu Yi, Jiang Qinghu, Fei Teng, Liu Yaolin, Mouazen Abdul M., Chen Yiyun. Estimation of organic carbon in anthropogenic soil by vis-nir spectroscopy: Effect of variable selection. Remote Sensing, 2020, 12(20)


2019年:

[1] Guo Long, Zhang H. T., Shi T. Z., Chen Y. Y., Jiang Q. H., Linderman M. Prediction of soil organic carbon stock by laboratory spectral data and airborne hyperspectral images. Geoderma, 2019c, 337: 32-41

[2] Zhang Yangchengsi, Guo Long*, Chen Yiyun, Shi Tiezhu, Luo Mei, Ju QingLan, Zhang Haitao, Wang Shanqin. Prediction of soil organic carbon based on landsat 8 monthly ndvi data for the jianghan plain in hubei province, china. Remote Sensing, 2019, 11(14)

[3] Guo Long, Shi Tiezhu, Linderman Marc, Chen Yiyun, Zhang Haitao, Fu Peng. Exploring the influence of spatial resolution on the digital mapping of soil organic carbon by airborne hyperspectral vnir imaging. Remote Sensing, 2019b, 11(9)

[4] Guo Long, Haitao ZHANG, Yiyun CHEN, Jing QIAN Combining environmental factors and lab vnir spectral data to predict som by geospatial techniques. Chinese Geographical Science, 2019a, 29(2): 258-269

[5] Hong Yongsheng, Shen Ruili, Cheng Hang, Chen Songchao, Chen Yiyun, Guo Long, He Jianhua, Liu Yaolin, Yu Lei, Liu Yi. Cadmium concentration estimation in pen-urban agricultural soils: Using reflectance spectroscopy, soil auxiliary information, or a combination of both? Geoderma, 2019, 354

[6] Yang Shunhua, Zhang Haitao, Zhang Chuanrong, Li Weidong, Guo Long, Chen Jiaying. Predicting soil organic matter content in a plain-to-hill transition belt using geographically weighted regression with stratification. Archives Of Agronomy And Soil Science, 2019, 65(12): 1745-1757

[7] 段丽君, 郭龙, 张海涛, 琚清兰. 基于改进ok模型的土壤有机质空间分布预测——以宜都市红花套镇为例. 中国生态农业学报(中英文), 2019a, 27(01): 131-141

[8] 段丽君, 张海涛, 郭龙, 杜佩颖, 陈可, 琚清兰. 典型柑橘种植区土壤有机质空间分布与含量预测. 华中农业大学学报, 2019b, 38(01): 73-81


2018年:

[1] Guo Long, Linderman Marc, Shi Tiezhu, Chen Yiyun, Duan Lijun, Zhang Haitao. Exploring the sensitivity of sampling density in digital mapping of soil organic carbon and its application in soil sampling. Remote Sensing, 2018a, 10(6)

[2] Guo Long, Luo Mei, Zhangyang Chengsi, Zeng Chen, Wang Shanqin, Zhang Haitao. Spatial modelling of soil organic carbon stocks with combined principal component analysis and geographically weighted regression. The Journal of Agricultural Science, 2018b, 156(6): 774-784

[3] Shi Tiezhu, Guo Long, Chen Yiyun, Wang Weixi, Shi Zhou, Li Qingquan, Wu Guofeng. Proximal and remote sensing techniques for mapping of soil contamination with heavy metals. Applied Spectroscopy Reviews, 2018a, 53(10): 783-805

[4] Shi Tiezhu, Hu Zhongwen, Shi Zhou, Guo Long, Chen Yiyun, Li Qingquan, Wu Guofeng. Geo-detection of factors controlling spatial patterns of heavy metals in urban topsoil using multi-source data. Science of the Total Environment, 2018b, 643: 451-459

[5] 杜佩颖, 张海涛, 郭龙, 杨顺华, 章清, 田雪. 平原丘陵过渡区土壤有机质空间变异及其影响因素. 土壤学报, 2018, 55(05): 1286-1295

[6] 吴子豪, 刘艳芳, 陈奕云, 郭龙, 姜庆虎, 王少辰. 综合土地利用及空间异质性的土壤有机碳空间插值模型. 应用生态学报, 2018, 29(01): 238-246


2017年:

[1] Guo Long, Chen Yiyun, Shi Tiezhu, Zhao Chang, Liu Yaolin, Wang Shanqin, Zhang Haitao. Exploring the role of the spatial characteristics of visible and near-infrared reflectance in predicting soil organic carbon density. Isprs International Journal Of Geo-Information, 2017a, 6(10)

[2] Guo Long, Zhao Chang, Zhang Haitao, Chen Yiyun, Linderman M., Zhang Qing, Liu Yaolin. Comparisons of spatial and non-spatial models for predicting soil carbon content based on visible and near-infrared spectral technology. Geoderma, 2017b, 285: 280-292

[3] Wang Xiaomi, Chen Yiyun, Guo Long, Liu Leilei. Construction of the calibration set through multivariate analysis in visible and near-infrared prediction model for estimating soil organic matter. Remote Sensing, 2017, 9(3)

[4] 刘艳芳, 宋玉玲, 郭龙, 陈奕云, 卢延年, 刘以. 结合高光谱信息的土壤有机碳密度地统计模型 农业工程学报, 2017, 33(02): 183-191


2016年之前:

[1] Liu Yaolin#, Guo Long#, Jiang Qinghu, Zhang Haitao, Chen Yiyun. Comparing geospatial techniques to predict soc stocks. Soil and Tillage Research, 2015, 148(0): 46-58

[2] Zhang Haitao, Guo Long*, Chen Jiaying, Fu Peihong, Gu Jianli, Liao Guangyu. Modeling of spatial distributions of farmland density and its temporal change using geographically weighted regression model. Chinese Geographical Science, 2013: 1-14

[3] 郭龙, 张海涛, 陈家赢, 李锐娟, 秦聪. 基于协同克里格插值和地理加权回归模型的土壤属性空间预测比较. 土壤学报, 2012, 49(5): 1037-1042

[4] 郭龙, 张海涛, 于波, 谷建立. 基本农田易侵占区域的划定. 华中农业大学学报, 2011(06): 740-745

[5] 郭龙, 王天巍, 钱小将, 魏文娟. 降雨条件下土壤侵蚀及其光谱曲线的响应特征. 亚热带水土保持, 2010, 22(3): 1-5

[6] Chen Jiaying, Zhang Haitao, Gu Jianli, Guo Long, Chen Nengcheng. A flexible soil moisture calculation workflow under geographic web service. Geoinformatics, 2011 19th International Conference on: IEEE, 2011: p. 1-6

[7] Jiang Qinghu, Chen Yiyun, Guo Long, Fei Teng, Qi Kun. Estimating soil organic carbon of cropland soil at different levels of soil moisture using vis-nir spectroscopy. Remote Sensing, 2016, 8(9)

[8] 谷建立, 张海涛, 陈家赢, 任艳, 郭龙. 基于dem的县域土地利用空间自相关格局分析. 农业工程学报, 2012, 28(23): 216-224

[9] 刘艳芳, 卢延年, 郭龙, 肖丰涛, 陈奕云. 基于地类分层的土壤有机质光谱反演校正样本集的构建. 土壤学报, 2016, 53(02): 332-341

[10] 宁秀红, 郭龙, 张海涛. 基于空间自回归和地理加权回归模型的不同尺度下土地利用程度研究. 华中农业大学学报, 2013, 32(4): 48-54

[11] 杨顺华, 张海涛, 陈家赢, 毕生斌, 田雪, 章清, 郭龙, 柳琪, 谭骏峰. 平原丘陵过渡带土壤有机碳空间分布及环境影响. 中国环境科学, 2015a, 35(12): 3728-3736

[12] 杨顺华, 张海涛, 郭龙, 任艳. 基于回归和地理加权回归kriging的土壤有机质空间插值. 应用生态学报, 2015b, 26(06): 1649-1656

[13] 章清, 张海涛, 郭龙, 杜佩颖, 李林蔚, 李锐娟, 唐晓霏. 基于主成分分析的协同克里格插值模型对土壤铜含量的空间分布预测. 华中农业大学学报, 2016(1): 60-68


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