中文 
English
陈奕云博士长期从事土壤属性的光谱建模与空间分析研究工作，主持构建了多个大/中型土壤光谱库，累积样本量接近7000份，土壤光谱曲线超过8万条，发表论文100余篇，在国际期刊发表SCI/SSCI论文70篇（第一/通讯作者32篇），1区TOP期刊论文30篇(依据中科院SCI期刊分区2020年01月最新版)，在土壤地理学顶级期刊Geoderma发表论文7篇，Soil and Tillage Research发表论文4篇，3篇论文入选2019年ESI高被引论文全球前1%。论文总被引用超过2000次（Google Scholar），H指数29。
陈奕云博士的研究工作得到了国内外学术同行的积极评价，具有一定的国际学术影响力和同行认可度，ResearchGate学术影响力得分超过35，研究成果得到了广泛的引用和推荐。
受邀担任国际顶级遥感期刊Remote Sensing of Environment和国际顶级土壤期刊Geoderma、Soil and Tillage Research、Land Degradation and Development、 Catena、Soil Science Society of America Journal、European Journal of Soil Science在土壤光谱分析、空间分析与制图方向的通讯评审专家。
2018年，受比利时联邦科技政策办公室（BELSPO）委托，为其Research Programme for Earth Observation “STEREO III”撰写申报书评阅意见。
2019年，应剑桥大学教授、时任英国皇家人类学会Hon Secretary的Apthorpe博士邀请，为原计划于2020年夏天在伦敦召开的人类学与地理学联合会议“Anthropology and Geography: Dialogues Past, Present and Future”（人类学与地理学：对话过去、现在与未来）撰写专题“Soil security and sustainable development in the Anthropocene”（人类世土壤安全与可持续发展）的论文征集（即Call for papers）。该专题是此次联合大会100多个专题中唯一一个土壤方向的专题
Google Scholar：H index=29 （July, 2021）
ResearchGate: Score=36.05 （July, 2021）
发表论文
2020年：
[1] J. Pan, Y. Chen*, Y. Zhang, M. Chen, S. Fennell, B. Luan, F. Wang, D. Meng, Y. Liu, L. Jiao, J. Wang, 2020. Spatial-temporal dynamics of grain yield and the potential driving factors at the county level in China. Journal of Cleaner Production. 255, 120312.
[2] Y. Hong, L. Guo, S. Chen, M. Linderman, A. M. Mouazen, L. Yu, Y. Chen*, Y. Liu*, Y. Liu, H. Cheng, Y. Liu, 2020. Exploring the potential of airborne hyperspectral image for estimating topsoil organic carbon: Effects of fractional-order derivative and optimal band combination algorithm. Geoderma. 365, 114228.
[3] L. Xu, Y. Chen*, J. Pan, A. Gao, 2020. Multi-Structure Joint Decision-Making Approach for Land Use Classification of High-Resolution Remote Sensing Images Based on CNNs. IEEE Access. 8, 42848-42863.
[4] Z. Wu, Y. Chen, Y. Han, T. Ke, Y. Liu, 2020. Identifying the influencing factors controlling the spatial variation of heavy metals in suburban soil using spatial regression models. Science of The Total Environment. 717, 137212.
[5] L. Guo, P. Fu, T. Shi, Y. Chen, H. Zhang, R. Meng, S. Wang, 2020. Mapping field-scale soil organic carbon with unmanned aircraft system-acquired time series multispectral images. Soil and Tillage Research. 196, 104477.
[6] Y. Hong, S. Chen, Y. Chen, M. Linderman, A. M. Mouazen, Y. Liu, L. Guo, L. Yu, Y. Liu, H. Cheng, Y. Liu, 2020. 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. 199, 104589.
[7] C. Cheng, Y. Liu*, Y. Liu, R. Yang, Y. Hong, Y. Lu, J. Pan, Y. Chen*, 2020. Cropland use sustainability in Cheng–Yu Urban Agglomeration, China: Evaluation framework, driving factors and development paths. Journal of Cleaner Production. 256, 120692.
[8] S. Zhang, J. Li, S. Wang, Y. Huang, Y. Li, Y. Chen, T. Fei, 2020. Repaid Identification and Prediction of Cadmium–Lead Cross-Stress of Different Stress Levels in Rice Canopy Based on Visible and Near-Infrared Spectroscopy. Remote Sensing. 12(3), 469.
[9] K. Guo, X. Zhang, X. Kuai, Z. Wu, Y. Chen, Y. Liu, 2020. A spatial bayesian-network approach as a decision-making tool for ecological-risk prevention in land ecosystems. Ecological Modelling. 419, 108929.
[10] D. Gong, L. Wu, J. Zhang, G. Mu, L. Shen, J. Liu, Z. Wang, W. Zhou, P. An, X. Huang, X. Jiang, Y. Li, X. Wan, S. Hu, Y. Chen, X. Hu, Y. Xu, X. Zhu, S. Li, L. Yao, X. He, D. Chen, L. Huang, X. Wei, X. Wang, H. Yu, 2020. Detection of colorectal adenomas with a real-time computer-aided system (ENDOANGEL): a randomised controlled study. The Lancet Gastroenterology undefined Hepatology.
[11] 余珮珩, 冯明雪, 刘斌, 白少云, 顾世祥, 陈奕云*, 2020. 顾及生态安全格局的流域生态保护红线划定及管控研究——以云南杞麓湖流域为例. 湖泊科学. 32(01), 89-99.
[12] 李威, 黄铭, 刘晓燕, 孙炎, 胡珊, 陈奕云*, 2020. 基于地理国情普查的自然资源资产本底数据库设计与建设. 测绘地理信息. 45(01), 76-79.
[13] 陈奕云, 沈焕锋, 徐璐, 郭龙, 曾晨, 费腾, 刘耀林, 2020. 面向地理科学一流本科专业的定量遥感“金课”的建设途径. 中国地质教育. 29(01), 57-61.
[14] 白少云, 刘斌, 余珮珩, 陈敏, 潘佳威, 陈奕云, 2020. 融合多尺度影像数据的杞麓湖流域景观格局分析. 测绘通报(02), 90-95.
[15] 赵曦, 王乃昂, 曾彪, 陈奕云, 王艳, 2020. “发现计划”地理学联合实习的实践与思考——以第11届地理学国家理科基地联合实习为例. 地理教学(02), 4-6+10.
2019年：
[1] H. Cheng, R. Shen, Y. Chen*, Q. Wan*, T. Shi, J. Wang, Y. Wan, Y. Hong, X. Li, 2019. Estimating heavy metal concentrations in suburban soils with reflectance spectroscopy. Geoderma. 336, 59-67.
[2] Y. Hong, Y. Liu, Y. Chen*, Y. Liu*, L. Yu, Y. Liu, H. Cheng, 2019. Application of fractional-order derivative in the quantitative estimation of soil organic matter content through visible and near-infrared spectroscopy. Geoderma. 337, 758-769.
[3] Y. S. Hong, R. L. Shen, H. Cheng, Y. Y. Chen*, Y. Zhang, Y. L. Liu, M. Zhou, L. Yu, Y. Liu, Y. F. Liu*, 2019. Estimating lead and zinc concentrations in peri-urban agricultural soils through reflectance spectroscopy: Effects of fractional-order derivative and random forest. Science of the Total Environment. 651, 1969-1982.
[4] Y. Hong, S. Chen, Y. Liu, Y. Zhang, L. Yu, Y. Chen*, Y. Liu*, H. Cheng, Y. Liu, 2019. Combination of fractional order derivative and memory-based learning algorithm to improve the estimation accuracy of soil organic matter by visible and near-infrared spectroscopy. CATENA. 174, 104-116.
[5] Y. Liu, Y. Liu, Y. Chen*, Y. Zhang*, T. Shi, J. Wang, Y. Hong, T. Fei, Y. Zhang, 2019. The Influence of Spectral Pretreatment on the Selection of Representative Calibration Samples for Soil Organic Matter Estimation Using Vis-NIR Reflectance Spectroscopy. Remote Sensing. 11(4), 450.
[6] Y. Zhang, Y. Liu*, M. Jin, Y. Jing, Y. Liu, Y. Liu, W. Sun, J. Wei, Y. Chen*, 2019. Monitoring Land Subsidence in Wuhan City (China) using the SBAS-InSAR Method with Radarsat-2 Imagery Data. Sensors. 19(3), 743.
[7] L. Guo, H. Zhang, Y. Chen, J. Qian, 2019. Combining Environmental Factors and Lab VNIR Spectral Data to Predict SOM by Geospatial Techniques. Chinese Geographical Science. 29(2), 258-269.
[8] L. Guo, M. Linderman, T. Z. Shi, Y. Y. Chen, L. J. Duan, H. T. Zhang, 2018. Exploring the Sensitivity of Sampling Density in Digital Mapping of Soil Organic Carbon and Its Application in Soil Sampling. Remote Sensing. 10(6).
[9] X. Zhang, X. Zhang, C. Luo, Z. Liu, Y. Chen, S. Dong, C. Jiang, S. Yang, F. Wang, X. Xiao, Volume-Enhanced Raman Scattering Detection of Viruses. Small. 0(0), 1805516. https://doi.org/10.1002/smll.201805516
[10] L. Guo, H. T. Zhang, T. Z. Shi, Y. Y. Chen, Q. H. Jiang, M. Linderman, 2019. Prediction of soil organic carbon stock by laboratory spectral data and airborne hyperspectral images. Geoderma. 337, 32-41.
[11] L. Guo, T. Z. Shi, M. Linderman, Y. Y. Chen, H. T. Zhang, P. Fu, 2019. Exploring the Influence of Spatial Resolution on the Digital Mapping of Soil Organic Carbon by Airborne Hyperspectral VNIR Imaging. Remote Sensing. 11(9), 16.
[12] Y. C. S. Zhang, L. Guo, Y. Y. Chen, T. Z. Shi, M. Luo, Q. L. Ju, H. T. Zhang, S. Q. Wang, 2019. Prediction of Soil Organic Carbon based on Landsat 8 Monthly NDVI Data for the Jianghan Plain in Hubei Province, China. Remote Sensing. 11(14), 26.
[13] Z. Wu, B. Wang, J. Huang, Z. An, P. Jiang, Y. Chen*, Y. Liu*, 2019. Estimating soil organic carbon density in plains using landscape metric-based regression Kriging model. Soil and Tillage Research. 195, 104381.
[14] Y. Hong, R. Shen, H. Cheng, S. Chen, Y. Chen*, L. Guo, J. He, Y. Liu*, L. Yu, Y. Liu, 2019. Cadmium concentration estimation in peri-urban agricultural soils: Using reflectance spectroscopy, soil auxiliary information, or a combination of both? Geoderma. 354, 113875.
[15] C. Cheng, Y. L. Liu, Y. Y. Chen, Y. F. Liu, Y. Zhang, S. S. Shen, R. F. Yang, Z. B. Xu, Y. S. Hong, 2019. Diagnosing cropland's allowable range and spatial allocation in China's typical mountainous plateau area: An evaluation framework based on ecological carrying capacity. Science of the Total Environment. 685, 1255-1268.
[16] 陈方圆, 周鑫, 陈奕云, 王奕涵, 刘会增, 王俊杰, 邬国锋, 2019. 不同核函数支持向量机和可见-近红外光谱的多种植被叶片生化组分估算. 光谱学与光谱分析. 39(02), 428-434.
[17] 王雯倩, 万其进, 陈奕云*, 王新智, 陈敏, 余珮珩, 万远, 2019, 典型场地有机污染物多环芳烃的红外光谱特征. 红外技术. 41(10), 982-988.
[18] 江颂, 蒙吉军, 陈奕云, 2019. 黑河中游土地利用与景观格局的水文效应分析. 中国水土保持科学. 17(01), 64-73.
2018年：
[1] J. Wang, Y. Chen, F. Chen, T. Shi, G. Wu, 2018. Wavelet-based coupling of leaf and canopy reflectance spectra to improve the estimation accuracy of foliar nitrogen concentration. Agricultural and Forest Meteorology. 248, 306-315.
[2] Y. Hong, L. Yu, Y. Chen*, Y. Liu*, Y. Liu, Y. Liu, H. Cheng, 2018. Prediction of Soil Organic Matter by VIS–NIR Spectroscopy Using Normalized Soil Moisture Index as a Proxy of Soil Moisture. Remote Sensing. 10(1), 28. (doi:10.3390/rs10010028)
[3] J. Wan, Y. Liu*, Y. Chen*, J. Hu, Z. Wang, 2018. A Tale of North and South: Balanced and Sustainable Development of Primary Education in Ningxia, China. Sustainability. 10(2), 559.
[4] T. Shi, L. Guo, Y. Chen, W. Wang, Z. Shi, Q. Li, G. Wu, 2018. Proximal and remote sensing techniques for mapping of soil contamination with heavy metals. Applied Spectroscopy Reviews, 1-23.
[5] Y. Hong, Y. Chen*, L. Yu, Y. Liu, Y. Liu, Y. Zhang, Y. Liu, H. Cheng, 2018. Combining Fractional Order Derivative and Spectral Variable Selection for Organic Matter Estimation of Homogeneous Soil Samples by VIS–NIR Spectroscopy. Remote Sensing. 10(3), 479.
[6] Y. S. Hong, S. C. Chen, Y. Zhang, Y. Y. Chen*, L. Yu, Y. F. Liu*, Y. L. Liu, H. Cheng, Y. Liu, 2018. Rapid identification of soil organic matter level via visible and near-infrared spectroscopy: Effects of two-dimensional correlation coefficient and extreme learning machine. Science of the Total Environment. 644, 1232-1243.
[7] Y. Zhang, Y. F. Liu, Y. Zhang, Y. Liu, G. X. Zhang, Y. Y. Chen*, 2018. On the spatial relationship between ecosystem services and urbanization: A case study in Wuhan, China. Science of the Total Environment. 637, 780-790.
[8] Y. S. Hong, Y. Y. Chen*, Y. Zhang, Y. F. Liu*, Y. L. Liu, L. Yu, Y. Liu, H. Cheng, 2018. Transferability of Vis-NIR models for Soil Organic Carbon Estimation between Two Study Areas by using Spiking. Soil Science Society of America Journal. 82(5), 1231-1242.
[9] T. Shi, Z. Hu, Z. Shi, L. Guo, Y. Chen, Q. Li, G. Wu, 2018. Geo-detection of factors controlling spatial patterns of heavy metals in urban topsoil using multi-source data. Science of The Total Environment. 643, 451-459
[10] L. Guo, M. Linderman, T. Z. Shi, Y. Y. Chen, L. J. Duan, H. T. Zhang, 2018. Exploring the Sensitivity of Sampling Density in Digital Mapping of Soil Organic Carbon and Its Application in Soil Sampling. Remote Sensing. 10(6).
[11] Y. L. Liu, Z. H. Wu*, Y. Y. Chen*, B. Z. Wang, 2018. SOIL CARBON MAPPING IN LOW RELIEF AREAS WITH COMBINED LAND USE TYPES AND PERCENTAGES. ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci. IV-3, 285-292.
[12] Y. Liu, Z. Shi, G. L. Zhang, Y. Y. Chen*, S. Li, Y. S. Hong, T. Z. Shi, J. J. Wang, Y. L. Liu*, 2018. Application of Spectrally Derived Soil Type as Ancillary Data to Improve the Estimation of Soil Organic Carbon by Using the Chinese Soil Vis-NIR Spectral Library. Remote Sensing. 10(11).
[13] 吴子豪, 刘艳芳, 陈奕云*, 郭龙, 姜庆虎, 王少辰, 2018. 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, 29(1), 238-246
[14] 程航, 万远, 陈奕云*, 万其进*, 石铁柱, 申锐莉, 郭 凯, 胡家蒙, 2018. 部分土壤重金属可见-近红外反射光谱特征及机理研究. 光谱学与光谱分析, 38(3), 771-778
[15] 王凤, 刘艳芳, 孔雪松, 陈奕云*, 潘佳威, 2018. 中国县域粮食产量时空演变及影响因素变化. 经济地理(05), 142-151.
[16] 唐名阳, 陈奕云, 刘艳芳*, 陈龙, 张翔晖, 2018. 宁波市基本教育设施均等化研究——以公立小学为例. 现代城市研究(05), 24-32.
[17] 温久民, 韩健, 陈奕云, 2018. 喀斯特山区无人机摄影测量技术研究. 测绘地理信息. 43(05), 32-34.
2017年：
[1] 陈奕云, 齐天赐, 黄颖菁, 万远, 赵瑞瑛, 亓林, 张超, 费腾, 2017. 土壤有机质含量可见-近红外光谱反演模型校正集优选方法. 农业工程学报 33(06), 107-114.
[2] 陈奕云, 赵瑞瑛, 齐天赐, 亓林, 张超, 2017. 结合光谱变换和 Kennard-Stone 算法的水稻土全氮光谱估算模型校正集构建策略研究. 光谱学与光谱分析37(7), 2133-2139
[3] 刘艳芳, 宋玉玲, 郭龙, 陈奕云*, 卢延年, 刘以, 2017. 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(02), 183-191.
[4] 曾晨, 柯新利, 王鹏, 马才学, 陈奕云, 2017. 多学科背景下一流土地资源管理本科专业的建设. 中国地质教育(02), 16-19.
[5] X. Wang, Y. Chen*, L. Guo, L. Liu*, 2017. Construction of the Calibration Set through Multivariate Analysis in Visible and Near-Infrared Prediction Model for Estimating Soil Organic Matter. Remote Sensing. 9(3), 201.
[6] T. Shi, H. Liu, Y. Chen, T. Fei, J. Wang, G. Wu, 2017. Spectroscopic Diagnosis of Arsenic Contamination in Agricultural Soils. Sensors. 17(5), 1036.
[7] K. Guo, X. Kuai, Y. Chen, L. Qi, L. Zhang, Y. Liu, 2017. Risk assessment of land ecology on a regional scale: Application of the relative risk model to the mining city of Daye, China. Human and Ecological Risk Assessment. 23(3), 550-574.
[8] H. Liu, T. Shi, Y. Chen, J. Wang, T. Fei, G. Wu, 2017. Improving Spectral Estimation of Soil Organic Carbon Content through Semi-Supervised Regression. Remote Sensing. 9(1), 29.
[9] L. Guo, C. Zhao, H. Zhang, Y. Chen, M. Linderman, Q. Zhang, Y. Liu, 2017. Comparisons of spatial and non-spatial models for predicting soil carbon content based on visible and near-infrared spectral technology. Geoderma. 285, 280-292.
[10] Y. Liu, Y. Jing* , E. Cai, J. Cui, Y. Zhang, Y. Chen*, 2017. How Leisure Venues Are and Why? A Geospatial Perspective in Wuhan, Central China. Sustainability. 10(1), 28.
[11] L. Guo, Y. Chen, T. Shi, C. Zhao, Y. Liu, S. Wang, H. Zhang, 2017. 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. 6(10), 308
2016年：
[1] 刘艳芳, 卢延年, 郭龙, 肖丰涛, 陈奕云*, 2016. 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53(02), 332-341.
[2] 陈奕云, 唐名阳, 王淑桃, 王奇, 詹皖欣, 黄冠, 2016. 基于文献计量的中国农田土壤重金属污染评价. 土壤通报46(06), 669-775.
[3] 李时雨, 刘艳芳, 孔雪松, 陈奕云, 刘格格, 2016. 武汉市生态用地景观格局的时空演化特征分析. 测绘地理信息 41(03), 68-73.
[4] 刘会增, 石铁柱, 王俊杰, 陈奕云, 邬国锋, 2016. 利用区域土壤光谱库研究土壤有机碳反演模型传递性. 武汉大学学报(信息科学版) 41(07), 889-895.
[5] 张梦珂, 刘艳芳, 安子豪, 危小建, 陈奕云, 2016. 武汉城市化进程对湖泊景观格局的空间非平稳性影响分析. 地理信息世界23(03), 53-59.
[6] Q. Jiang, Y. Chen*, L. Guo, T. Fei, K. Qi, 2016. Estimating Soil Organic Carbon of Cropland Soil at Different Levels of Soil Moisture Using VIS-NIR Spectroscopy. Remote Sensing. 8(9), 755.
[7] X. Wang, Y. Liu, Y. Chen, Y. Liu, 2016. An Adaptive Density-Based Time Series Clustering Algorithm: A Case Study on Rainfall Patterns. ISPRS International Journal of Geo-Information. 5(11), 205.
[8] T. Shi, H. Liu, Y. Chen, J. Wang, G. Wu, 2016. Estimation of arsenic in agricultural soils using hyperspectral vegetation indices of rice. Journal of Hazardous Materials. 308, 243-252.
[9] 陈奕云, 齐天赐, 黄颖菁, 万远, 赵瑞瑛, 亓林, 张超, 2016. 土壤有机质可见-近红外光谱反演模型校正集构建, 中国地理信息科学理论与方法学术年会, 深圳，广东.
2015年：
[1] Y. Liu, L. Guo, Q. Jiang, H. Zhang, Y. Chen*, 2015. Comparing geospatial techniques to predict SOC stocks. Soil undefinedamp; Tillage Research. 148, 46-58.
[2] T. Shi, Y. Chen, Y. Liu, G. Wu, 2014. Response to “Visible and near-infrared reflectance spectroscopyis of limited practical use to monitor soil contamination by heavy metals” by Philippe C. Baveye. Journal of Hazardous Materials. 285(0), 207.
[3] P. Zhou, Y. F. Liu, Y. Y. Chen, C. Zeng, Z. Y. Wang, 2015. Prediction of the spatial distribution of high-rise residential buildings by the use of a geographic field based autologistic regression model. Journal of Housing and the Built Environment. 30(3), 487-508.
[4] 陈奕云, 漆锟, 刘耀林, 何建华, 姜庆虎, 2015. 顾及土壤湿度的土壤有机质高光谱预测模型传递研究. 光谱学与光谱分析. 35(6), 1705-1708.
[5] Y. Chen, T. Fei, L. Guo, T. Shi, Q. Jiang, Y. Liu, 2015. Spatial variation of soil reflectance spectra and its implication for digital soil mapping, The 4th Global Workshop Proximal Soil Sensing, Hangzhou, China.
2014年：
[1] Y. Liu, Q. Jiang, T. Fei, J. Wang, T. Shi, K. Guo, X. Li, Y. Chen*, 2014. Transferability of a Visible and Near-Infrared Model for Soil Organic Matter Estimation in Riparian Landscapes. Remote Sensing. 6(5), 4305-4322.
[2] Y. Liu, Q. Jiang, T. Shi, T. Fei, J. Wang, G. Liu, Y. Chen*, 2014. Prediction of total nitrogen in cropland soil at different levels of soil moisture with Vis/NIR spectroscopy. Acta Agriculturae Scandinavica, Section B–Soil undefinedamp; Plant Science 64(3), 267-281.
[3] T. Shi, Y. Chen, H. Liu, J. Wang, G. Wu, 2014. Soil Organic Carbon Content Estimation with Laboratory-Based Visible-Near-Infrared Reflectance Spectroscopy: Feature Selection. Applied Spectroscopy. 68(8), 831-837.
[4] T. Shi, Y. Chen, Y. Liu, G. Wu, 2014. Visible and near-infrared reflectance spectroscopy—An alternative for monitoring soil contamination by heavy metals. Journal of Hazardous Materials. 265(0), 166-176.
[5] J. Wang, L. Cui, W. Gao, T. Shi, Y. Chen, Y. Gao, 2014. Prediction of low heavy metal concentrations in agricultural soils using visible and near-infrared reflectance spectroscopy. Geoderma. 216(0), 1-9.
[6] X. Peng, T. Shi, A. Song, Y. Chen, W. Gao, 2014. Estimating Soil Organic Carbon Using VIS/NIR Spectroscopy with SVMR and SPA Methods. Remote Sensing. 6(4), 2699-2717.
[7] T. Shi, H. Liu, J. Wang, Y. Chen, T. Fei, G. Wu, 2014. Monitoring Arsenic Contamination in Agricultural Soils with Reflectance Spectroscopy of Rice Plants. Environmental Science undefinedamp; Technology. 48(11), 6264-6272.
[8] K. Guo, Y. Liu, C. Zeng, Y. Chen, X. Wei, 2014. Global research on soil contamination from 1999 to 2012: A bibliometric analysis. Acta Agriculturae Scandinavica, Section B–Soil undefinedamp; Plant Science. 64(5), 377-391.
[9] Y. Gao, L. Cui, B. Lei, Y. Zhai, T. Shi, J. Wang, Y. Chen, H. He, G. Wu, 2014. Estimating soil organic carbon content with visible/near-infrared (Vis/NIR) spectroscopy. Applied Spectroscopy. 68(7), 712-722.
[10] X. Kong, Y. Liu, X. Liu, Y. Chen, D. Liu, 2013. Thematic maps for land consolidation planning in Hubei Province, China. Journal of Maps, 10(1), 26-34.
[11] 刘艳芳, 方佳琳, 陈晓慧, 陈奕云*, 2014. 基于确定性系数分析方法的秭归县滑坡易发性评价. 自然灾害学报. 23(6), 209-217.
[12] 卢延年, 刘艳芳, 陈奕云, 姜庆虎, 2014. 江汉平原土壤有机碳含量高光谱预测模型优选. 中国农学通报. 30(26), 127-133.
[13] 韩健, 陈奕云, 潘元进, 文鸿雁, 2014. 国土档案管理系统的开发与应用研究. 地理空间信息. 12(4), 177-179
2013年：
[1] Y. Liu, X. Kong, Y. Liu, Y. Chen, 2013. Simulating the Conversion of Rural Settlements to Town Land Based on Multi-Agent Systems and Cellular Automata. PloS one. 8(11), e79300.
[2] T. Shi, L. Cui, J. Wang, T. Fei, Y. Chen, G. Wu, 2013. Comparison of multivariate methods for estimating soil total nitrogen with visible/near-infrared spectroscopy. Plant and soil. 366(1), 363-375.
[3] Y. Chen, Y. Liu*, T. Fei, Q. Jiang, J. Wang, T. Shi, 2013. Statistical Understanding on the Pre-processing of VNIR Spectra Data from Soil Samples with Different Preparations In: F. HU (Editor), International Symposium on Satellite Mapping Technology and Application (ISSMTA2013), Nanjing, Jiangsu, China, pp. 32 - 37.
[4] 严金明, 张杨, 江平, 陈奕云, 2013. 论国土生态文明战略框架设计, 新疆师范大学学报（哲学社会科学版）, 34(6), 25-31.
[5] 卢有赓, 陈奕云*, 柳登科, 陈鹏程, 2013. 滨湖农田土壤全氮含量可见近红外光谱反演. In: 史舟, 王秋兵 (Editors), 中国土壤学会土壤遥感与信息专业委员会/土壤发生、分类与土壤地理专业委员会学术研讨会, 山西太谷.
[6] 柳登科, 陈奕云*, 卢有赓, 宛子翔, 2013. 矿区土壤硫的高光谱遥感反演方法初探. In: 史舟, 王秋兵 (Editors), 中国土壤学会土壤遥感与信息专业委员会/土壤发生、分类与土壤地理专业委员会学术研讨会, 山西太谷.
2012年：
[1] Y. Chen, Y. Liu, Y. Liu, A. Lin, X. Kong, D. Liu, X. Li, Y. Zhang, Y. Gao, D. Wang, 2012. Mapping of Cu and Pb Contaminations in Soil Using Combined Geochemistry, Topography, and Remote Sensing: A Case Study in the Le’an River Floodplain, China. International Journal of Environmental Research and Public Health. 9(5), 1874-1886.
[2] Y. Liu, Y. Chen, 2012. Estimation of total iron content in floodplain soils using VNIR spectroscopy – a case study in the Le'an River floodplain, China. International Journal of Remote Sensing. 33(18), 5954-5972.
[3] Y. Liu, Y. Chen, 2012. Feasibility of Estimating Cu Contamination in Floodplain Soils using VNIR Spectroscopy—A Case Study in the Le’an River Floodplain, China. Soil undefinedamp; Sediment Contamination. 21(8), 951-969.
[4] Y. Liu, D. Liu, Y. Liu, J. He, L. Jiao, Y. Chen, X. Hong, 2012. Rural land use spatial allocation in the semiarid loess hilly area in China: Using a Particle Swarm Optimization model equipped with multi-objective optimization techniques. Science China Earth Sciences. 55(7), 1166-1177.
[5] Y. Zhang, Y. Chen, Q. Ding, P. Jiang, 2012. Study on Urban Heat Island Effect Based on Normalized Difference Vegetated Index: A Case Study of Wuhan City. Procedia Environmental Sciences. 13, 574-581.
[6] X. Zhao, Y. Liu, X. Ma, Y. Chen, 2012. A knowledge-based approach for assessing the quality of Landsat water body mapping product. International Symposium on Geomatics for Integrated Water Resources Management (GIWRM), 2012 (1-5).
2011年：
[1] 陈奕云, 2011. 基于可见—近红外光谱的土壤部分重金属含量提取. 博士学位论文, 武汉大学.