杨仁敏
- 教师拼音名称：Yang Renmin
- 出生日期：1986-09-09
- 性别：男
- 职称：副教授
- 所属院系：地球系统科学学院
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· Yang R.M.*, Guo W.W., Zheng J.B. 2019. Soil prediction for coastal wetlands following Spartina alterniflora invasion using Sentinel-1 imagery and structural equation modeling. Catena 173, 465-470.
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· Yang R.M.*, Guo W.W. 2019. Modelling of soil organic carbon and bulk density in invaded coastal wetlands using Sentinel-1 imagery. International Journal of Applied Earth Observation and Geoinformation 82, 101906.
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· Yang R.M.*, Guo W.W. 2019. Using Sentinel-1 imagery for soil salinity prediction under the condition of coastal restoration. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 12, 1482-1488.
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· Yang R.M.*, Guo W.W. 2019. Using time-series Sentinel-1 data for soil prediction on invaded coastal wetlands. Environmental Monitoring and Assessment 191, 462.
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· Yang R.M.*, Guo W.W. 2018. Exotic Spartina alterniflora enhances the soil functions of a coastal ecosystem. Soil Science Society of America Journal 82, 901-909. (Featured in CSA News magazine)
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· Yang R.M.*, Guo W.W.* 2018. Invasive Spartina strengthens soil resilience in wetlands of the east-central China coast. Land Degradation & Development 29, 2846-2853.
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· Yang R.M.*, Minasny B., Ma Y.X., Field D., McBratney A., Wu C.F. 2018. A preliminary soil security assessment of agricultural land in middle-eastern China. Soil Use and Management 34, 584-596.
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· Yang R.M., Yang Fan, Yang Fei, Huang L.M., Liu F., Yang J.L., Zhao Y.G., Li D.C., Zhang G.L.* 2017. Pedogenic knowledge-aided modelling of soil inorganic carbon stocks in an alpine environment. Science of the Total Environment 599, 1445-1453.
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· Yang R.M., Zhang G.L.*, Liu F., Lu Y.Y., Yang Fan, Yang Fei, Yang M., Zhao Y.G., Li D.C. 2016. Comparison of boosted regression tree and random forest models for mapping topsoil organic carbon concentration in an alpine ecosystem. Ecological Indicators 60, 870-878. (ESI高被引论文)
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· Yang R.M., Liu F., Zhang G.L.*, Zhao Y.G., Li D.C., Yang J.L., Yang Fei, Yang Fan. 2016. Mapping Soil Texture Based on Field Soil Moisture Observations at a High Temporal Resolution in an Oasis Agricultural Area. Pedosphere 26, 699-708.
