Dr. Yiyun Chen is a Full Professor with School of Resource and Environmental Sciences at Wuhan University, and the Fellow of the Royal Anthropological Institute of Great Britain and Ireland. Prof. Chen's research is primarily centered around understanding the intricate relationship between humans and the land, with a focus on soil information and digital governance of space. He was invited as an academic visitor of Department of Geography (2014-2015) and Centre of Development Studies (2019-2020) at University of Cambridge. He is the founding director of the virtual "Wuhan University-University of Cambridge Sustainable Development Research Center". Prof. Chen’s researches have been published in Land Use Policy, Cities, Environmental Impact Assessment Review, Applied Geography, Geoderma, Catena, and among others. He also holds several esteemed editorial positions and serves as a reviewer of over 50 science citation index journals. In 2023, Prof. Chen has been listed as Stanford's TOP 2% most highly cited scientists. PublicationsGoogle Scholar：H index=41 （June, 2023） ResearchGate: Score=36.60 （March, 2022） 2023：[1] Z. Wu, Y. Chen*, Z. Yang, Y. Liu, Y. Zhu, Z. Tong, R. An, 2023. Spatial distribution of lead concentration in peri-urban soil: Threshold and interaction effects of environmental variables. Geoderma. 429, 116193.（TOP Journal）[2] Y. Hong, Y. Chen*, S. Chen, R. Shen, L. Guo, Y. Liu, A. Mounem Mouazen, Z. Shi, 2023. Improving spectral estimation of soil inorganic carbon in urban and suburban areas by coupling continuous wavelet transform with geographical stratification. Geoderma. 430, 116284.（TOP Journal）[3] P. Yu, S. Zhang, E. H. Yung, E. H. Chan, B. Luan, Y. Chen*, 2023. On the urban compactness to ecosystem services in a rapidly urbanising metropolitan area: Highlighting scale effects and spatial non–stationary. Environmental Impact Assessment Review. 98, 106975.（TOP Journal） (ESI Highly Cited)[4] P. Yu, E. H. K. Yung, E. H. W. Chan, M. S. Wong, S. Wang, Y. Chen*, 2023. An integrated approach for examining urban fragmentation in metropolitan areas: Implications for sustainable urban planning. Journal of Cleaner Production. 419, 138151.（TOP Journal） [5] P. H. Yu, E. H. W. Chan, E. H. K. Yung, M. S. Wong, Y. Y. Chen*, 2023. Open space fragmentation in Hong Kong's built-up area: An integrated approach based on spatial horizontal and vertical equity lenses. Environmental Impact Assessment Review. 102.（TOP Journal） [6] P. H. Yu, E. H. K. Yung, E. H. W. Chan, S. Q. Wang, Y. L. Chen, Y. Y. Chen*, 2023. Capturing open space fragmentation in high-density cities: Towards sustainable open space planning. Applied Geography. 154 （TOP Journal） [7] P. H. Yu, I. Y. Jian, E. H. K. Yung, E. H. W. Chan, M. S. Wong, Y. Y. Chen*, 2023. Spatial Vertical Equity in Public General Hospitals: Towards a Sustainable Healthcare System. Land. 12(8)[8] Y. Chen, L. Wang*, P. Yu, N. Nie, X. Yang, Y. Chen*, 2023. Spatiotemporal Linkages between Administrative Division Adjustment and Urban Form: Political Drivers of the Urban Polycentric Structure. Land. 12(9), 1674[9] 胡亚珍, 陈奕云*, 吴子豪, 张哲乐, 余珮珩, 2023. 杞麓湖流域灌区土壤有机碳空间分异及潜在影响因素分析. 土壤通报. 54(03), 536-548[10] 张哲乐, 陈奕云*, 郑敏, 王佳雪, 乔占明, 张双印, 辛玉春, 赵霞, 2023. 基于智能分区的草原资源资产清查价格体系优化. 资源科学. 45(06), 1107-11222022：[1] P. Yu, S. Fennell, Y. Chen*, H. Liu, L. Xu, J. Pan, S. Bai, S. Gu, 2022. Positive impacts of farmland fragmentation on agricultural production efficiency in Qilu Lake watershed: Implications for appropriate scale management. Land Use Policy. 117, 106108.（TOP Journal） (ESI Highly Cited)[2] S. Y. Zhang, Y. Y. Chen*, Z. Y. Zhang, S. Y. Wang, Z. H. Wu, Y. S. Hong, Y. Wang, H. B. Hou, Z. Z. Hu, T. Fei, 2022. VNIR estimation of heavy metals concentrations in suburban soil with multi-scale geographically weighted regression. Catena. 219. （TOP Journal）[3] P. Yu, Y. Chen*, Q. Xu, S. Zhang, E. H. K. Yung, E. H. W. Chan, 2022. Embedding of spatial equity in a rapidly urbanising area: Walkability and air pollution exposure. Cities. 131, 103942.（TOP Journal）[4] Y. Chen, P. Yu, Y. Chen*, Z. Chen, 2022. Spatiotemporal dynamics of rice–crayfish field in Mid-China and its socioeconomic benefits on rural revitalisation. Applied Geography. 139, 102636. （TOP Journal）[5] Y. S. Hong, Y. Y. Chen, S. C. Chen, R. L. Shen, B. F. Hu, J. Peng, N. Wang, L. Guo, Z. Q. Zhuo, Y. Y. Yang, Y. L. Liu, A. M. Mouazen, Z. Shi, 2022. Data mining of urban soil spectral library for estimating organic carbon. Geoderma. 426.（TOP Journal）[6] W. Yu, Y. S. Hong, S. C. Chen, Y. Y. Chen, L. Q. Zhou, 2022. Comparing Two Different Development Methods of External Parameter Orthogonalization for Estimating Organic Carbon from Field-Moist Intact Soils by Reflectance Spectroscopy. Remote Sensing. 14(6).[7] S. Y. Zhang, T. Fei, Y. Y. Chen, Y. S. Hong, 2022. Estimating cadmium-lead concentrations in rice blades through fractional order derivatives of foliar spectra. Biosystems Engineering. 219, 177-188.[8] S. He, P. Peng, Y. Chen, X. Wang, 2022. Multi-Crop Classification Using Feature Selection-Coupled Machine Learning Classifiers Based on Spectral, Textural and Environmental Features. Remote Sensing. 14(13), 3153.[9] Z. Wu, Y. Liu, G. Li, Y. Han, X. Li, Y. Chen*, 2022. Influences of Environmental Variables and Their Interactions on Chinese Farmland Soil Organic Carbon Density and Its Dynamics. Land. 11(2), 208.[10] S. Zhang, P. Yu, Y. Chen*, Y. Jing, F. Zeng, 2022. Accessibility of Park Green Space in Wuhan, China: Implications for Spatial Equity in the Post-COVID-19 Era. International Journal of Environmental Research and Public Health. 19(9), 5440.[11] 陈泽怡, 余珮珩, 陈奕云*, 江颂, 顾世祥, 白少云, 刘斌, 2022. 汉江流域水源涵养和水质净化服务时空分析. 生态经济. 38(04), 193-200. [12] 邵丽冰, 陈奕云*, 徐璐, 洪永胜, 2022. 基于分数阶微分的土壤含水量高光谱响应特征与估测模型构建. 测绘地理信息, 1-6.[13] 蒋江俊男, 陈奕云*, 陈敏, 胡亚珍, 董维红, 2022. 基于两步优劣解距离法的地下水污染监测网优化. 环境污染与防治. 44(03), 362-367.[14] 汤琦, 余珮珩, 陈泽怡, 白少云, 陈奕云, 2022. 共享社会经济路径下土地利用变化模拟. 水土保持研究. 29(01), 301-310. [15] 桂丽, 姜秀娟, 陈晶, 余珮珩, 顾世祥, 陈佑淋, 陈奕云, 2022. 基于河湖长制的杞麓湖岸线划定管控. 中国农村水利水电, 1-11. 2021：[1] Y. Liu#, Y. Chen#, Z. Wu, B. Wang, S. Wang, 2021. Geographical detector-based stratified regression kriging strategy for mapping soil organic carbon with high spatial heterogeneity. Catena. 196, 104953. （TOP Journal）[2] Y. Hong, Y. Chen*, R. Shen, S. Chen, G. Xu, H. Cheng, L. Guo, Z. Wei, J. Yang, Y. Liu, Z. Shi, A. M. Mouazen, 2021. Diagnosis of cadmium contamination in urban and suburban soils using visible-to-near-infrared spectroscopy. Environmental Pollution. 291, 118128.（TOP Journal）[3] Y. Jing, D. Ma, Y. Liu, J. Cui, S. Zhang, Y. Chen, 2021. Decoding the Street-Based Spatiality of Urban Gyms: Implications for Healthy City Planning. Land. 10(2), 175.[4] X. Zhang, M. Chen, K. Guo, Y. Liu, Y. Liu, W. Cai, H. Wu, Z. Chen, Y. Chen, J. Zhang, 2021. Regional Land Eco-Security Evaluation for the Mining City of Daye in China Using the GIS-Based Grey TOPSIS Method. Land. 10(2), 118. [5] L. Guo, P. Fu, T. Shi, Y. Chen, C. Zeng, H. Zhang, S. Wang, 2021. Exploring influence factors in mapping soil organic carbon on low-relief agricultural lands using time series of remote sensing data. Soil and Tillage Research. 210, 104982.[6] L. Guo, X. Sun, P. Fu, T. Shi, L. Dang, Y. Chen, M. Linderman, G. Zhang, Y. Zhang, Q. Jiang, H. Zhang, C. Zeng, 2021. Mapping soil organic carbon stock by hyperspectral and time-series multispectral remote sensing images in low-relief agricultural areas. Geoderma. 398, 115118.[7] K. Guo, Y. Chen*, M. Chen, C. Wang, Z. Chen, W. Cai, R. Li, W. Feng, M. Jiang, 2021. Causal Analysis of Ecological Impairment in Land Ecosystem on a Regional Scale: Applied to a Mining City Daye, China. Land. 10(5), 530. [8] 陈泽怡, 余珮珩, 陈奕云*, 江颂, 白少云, 顾世祥, 2021. 共享社会经济路径下汉江流域产水和水质净化服务时空演变. 中国生态农业学报(中英文). 29(10), 1800-1814. [9] 韩健, 陈佑淋, 余珮珩, 汤琦, 陈奕云, 2021. 基于在地文化视角的乡村空间统筹治理机制与路径研究——以广西壮族自治区柳州市下陶村为例. 小城镇建设. 39(12), 55-63. [10] 余珮珩, 朱佩娟, 江沛, 陈奕云*, 王静, 刘耀林, 2021. 基于制度分析和发展框架的农村土地流转问题研究及对策建议——以湖北省监利县为例. 小城镇建设. 39(12), 13-19. [11] 余珮珩, 陈奕云*, 汤坤, 余梦颖, 2021. 基于龄结构的综合医院分布的空间公平研究——以武汉市主城区为例. 地域研究与开发. 40(03), 56-62. [12] 郑嵛珍, 陈奕云*, 陈敏, 吴子豪, 蒋江俊男, 多尺度土壤质地与光谱空间非平稳性关系探究. 湖北农业科学, 1-8. [13] 白少云, 刘斌, 潘佳威, 刘加敏, 陈敏, 余珮珩, 陈奕云, 2021. 结合G1法与变权理论的杞麓湖流域生态用地分析. 长江科学院院报. 38(03), 45-50. [14] 廖文秀, 陈奕云, 赵曦, 温旭昶, 基于GEE的湖北省近30湖泊及其岸线演变分析. 湖北农业科学, 1-10. [15] 陈敏, 潘佳威, 李江杰, 徐璐, 刘加敏, 韩健, 陈奕云, 2021. 结合VGGNet与Mask R-CNN的高分辨率遥感影像建设用地检测. 遥感技术与应用. 36(02), 256-264. [16] 魏钰, 陈奕云*, 徐璐, 洪永胜, 2021. 基于鲜土反射光谱的农田土壤重金属含量估算. 国土资源科技管理. 38(01), 118-129. [17] 陈佑淋, 余珮珩, 李志刚, 王静, 陈奕云*, 2021. 基于SDG11的城市绿地环境公平测度——以武汉市中心城区为例. 地理与地理信息科学. 37(04), 81-89. 2020：[1] 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. （TOP Journal）[2] 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. （TOP Journal）[3] 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.（TOP Journal）[4] 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. [5] 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.[6] L. Xu, Y. S. Hong, Y. Wei, L. Guo, T. Z. Shi, Y. Liu, Q. H. Jiang, T. Fei, Y. L. Liu, A. M. Mouazen, Y. Y. Chen*, 2020. Estimation of Organic Carbon in Anthropogenic Soil by VIS-NIR Spectroscopy: Effect of Variable Selection. Remote Sensing. 12(20). [7] 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.[8] 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. [9] 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.[10] 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. [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. （高被引、高PCSI, 2022度优秀论文）[12] 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. [13] 陈佑淋, 余珮珩, 白少云, 刘斌, 王静, 陈奕云*, 2020. 面向SDGs的村镇可持续发展质量评估——以杞麓湖流域为例. 中国农业资源与区划. 41(06), 152-162. [14] 张舒瑾, 余珮珩, 白少云, 顾世祥, 潘佳威, S. Fennell, 陈奕云*, 2020. 面向国土空间规划的流域景观时空分异特征及驱动因子研究. 生态经济. 36(10), 219-227. (高PCSI)[15] 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. [16] 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. [17] 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.[18] 黄铭, 李威, 汤琢, 陈泽怡, 孙炎, 陈奕云, 2020. 基于多元遥感数据与人工智能的自然资源资产审计系统. 测绘地理信息. 45(05), 97-100. [19] K. Guo, X. Zhang*, J. Liu, Z. Wu, M. Chen, K. Zhang, Y. Chen*, 2020. Establishment of an integrated decision-making method for planning the ecological restoration of terrestrial ecosystems. Science of the Total Environment. 741.[20] Q. H. Jiang, Y. Y. Chen, J. L. Hu, F. Liu, 2020. Use of Visible and Near-Infrared Reflectance Spectroscopy Models to Determine Soil Erodibility Factor (K) in an Ecologically Restored Watershed. Remote Sensing. 12(18).2019：[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.（TOP Journal） (多次入选ESI Highly Cited)[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.（TOP Journal）(多次入选ESI Highly Cited)[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.（TOP Journal）[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.（TOP Journal）[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.（TOP Journal）[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：[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.（TOP Journal）[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. 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