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地理科学与资源研究... [34]

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限定条件	内容类型：SCI/SSCI论文

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	Using pedotransfer functions to estimate soil hydraulic conductivity in the Loess Plateau of China SCI/SSCI论文 2016 作者: Zhao C. L.; Shao, M. A.; Jia, X. X.; Nasir, M.; Zhang, C. C. 收藏 \| 浏览/下载：58/0 \| 提交时间：2016/12/16 Saturated soil hydraulic conductivity Loess Plateau Artificial neural network Multiple linear regression Stability artificial neural-networks particle-size distribution physical-properties water conservation bulk-density prediction inference variables patterns systems
	Retrieving high-resolution surface solar radiation with cloud parameters derived by combining MODIS and MTSAT data SCI/SSCI论文 2016 作者: Tang W. J.; Qin, J.; Yang, K.; Liu, S. M.; Lu, N. 收藏 \| 浏览/下载：20/0 \| 提交时间：2017/11/09 photosynthetically active radiation neural-network shortwave radiation optical-properties satellite data irradiance china algorithm products validation
	Retrieving high-resolution surface solar radiation with cloud parameters derived by combining MODIS and MTSAT data SCI/SSCI论文 2016 作者: Tang W. J.; Qin, J.; Yang, K.; Liu, S. M.; Lu, N. 收藏 \| 浏览/下载：13/0 \| 提交时间：2016/12/16 photosynthetically active radiation neural-network shortwave radiation optical-properties satellite data irradiance china algorithm products validation
	Assessing the transferability of support vector machine model for estimation of global solar radiation from air temperature SCI/SSCI论文 2015 作者: Chen J. L.; Li, G. S.; Xiao, B. B.; Wen, Z. F.; Lv, M. Q. 收藏 \| 浏览/下载：20/0 \| 提交时间：2017/11/09 Global solar radiation Support vector machine Air temperatures Distance Altitude measured meteorological data artificial neural-network sunshine duration diffuse fraction china prediction turkey precipitation simulations validation
	Mapping Forest Canopy Height over Continental China Using Multi-Source Remote Sensing Data SCI/SSCI论文 2015 作者: Ni X. L.; Zhou, Y. K.; Cao, C. X.; Wang, X. J.; Shi, Y. L. 收藏 \| 浏览/下载：16/0 \| 提交时间：2015/12/09 resource limitations model aboveground biomass vertical structure spaceborne lidar icesat/glas data optimization retrieval glas lvis usa
	A hybrid real-time tidal prediction mechanism based on harmonic method and variable structure neural network SCI/SSCI论文 2015 作者: Yin J. C.; Wang, N. N.; Hu, J. Q. 收藏 \| 浏览/下载：13/0 \| 提交时间：2015/12/09 Tidal prediction Hybrid model Variable neural network Harmonic method Sliding data window learning algorithm storm-surge models sea framework
	Hybrid Constraints of Pure and Mixed Pixels for Soft-Then-Hard Super-Resolution Mapping With Multiple Shifted Images SCI/SSCI论文 2015 作者: Chen Y. H.; Ge, Y.; Heuvelink, G. B. M.; Hu, J. L.; Jiang, Y. 收藏 \| 浏览/下载：20/0 \| 提交时间：2015/12/09 Hybrid constraints multiple shifted images (MSIs) remotely sensed imagery super-resolution mapping (SRM) hopfield neural-network remote-sensing imagery markov-random-field land-cover sensed imagery spatial-resolution hyperspectral imagery contouring methods attraction model subpixel scale
	Impact of Nitrogen Fertilization on Forest Carbon Sequestration and Water Loss in a Chronosequence of Three Douglas-Fir Stands in the Pacific Northwest SCI/SSCI论文 2015 作者: Dou X. M.; Chen, B. Z.; Black, T. A.; Jassal, R. S.; Che, M. L. 收藏 \| 浏览/下载：12/0 \| 提交时间：2015/12/09 forest fertilization carbon sequestration evapotranspiration water use efficiency light use efficiency artificial neural network artificial neural-networks light-use efficiency long-term ecosystem response soil respiration european forests n-fertilization deposition temperate growth
	Global sensitivity analysis in hydrological modeling: Review of concepts, methods, theoretical framework, and applications SCI/SSCI论文 2015 作者: Song X. M.; Zhang, J. Y.; Zhan, C. S.; Xuan, Y. Q.; Ye, M. 收藏 \| 浏览/下载：34/0 \| 提交时间：2015/12/09 Global method Hydrological model Parameter optimization Sensitivity analysis Uncertainty analysis complex environmental-model distributed watershed models artificial neural-network groundwater-flow system rainfall-runoff models uncertainty analysis parameter sensitivity morris method identifiability analysis correlated parameters
	Determination of the Optimal Training Principle and Input Variables in Artificial Neural Network Model for the Biweekly Chlorophyll-a Prediction: A Case Study of the Yuqiao Reservoir, China SCI/SSCI论文 2015 作者: Liu Y.; Xi, D. G.; Li, Z. L. 收藏 \| 浏览/下载：20/0 \| 提交时间：2015/12/09 regression-models bloom lake

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