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浏览/检索结果: 共11条，第1-10条 帮助 限定条件 内容类型：期刊论文    专题：地理科学与资源研究所    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Improving terrestrial evapotranspiration estimation across China during 2000-2018 with machine learning methods 期刊论文 JOURNAL OF HYDROLOGY, 2021, 卷号: 600, 页码: 18 作者:  Yin, Lichang;  Tao, Fulu;  Chen, Yi;  Liu, Fengshan;  Hu, Jian 收藏  |  浏览/下载：58/0  |  提交时间：2021/11/05 Evapotranspiration  Machine learning  process-based ET  ET integration  China  Gaussian process regression   Spatial Downscaling of Land Surface Temperature Based on a Multi-Factor Geographically Weighted Machine Learning Model 期刊论文 REMOTE SENSING, 2021, 卷号: 13, 期号: 6, 页码: 33 作者:  Xu, Saiping;  Zhao, Qianjun;  Yin, Kai;  He, Guojin;  Zhang, Zhaoming 收藏  |  浏览/下载：21/0  |  提交时间：2021/07/09 land surface temperature  spatial downscaling  geographically weighted regression  ensemble learning  extreme gradient boosting  multivariate adaptive regression splines  Bayesian ridge regression  Sentinel-2A   Improved dynamic simulation technique for hydrodynamics and water quality of river-connected lakes 期刊论文 WATER SUPPLY, 2020, 卷号: 20, 期号: 8, 页码: 3752-3767 作者:  Liu, Bojun;  Xia, Jun;  Yang, Libin;  Cui, Changyong;  Wang, Linwei 收藏  |  浏览/下载：14/0  |  提交时间：2021/03/15 dynamic simulation  hydrodynamics  model assimilation  river-connected lake  water quality   Flash Flood Susceptibility Assessment Based on Geodetector, Certainty Factor, and Logistic Regression Analyses in Fujian Province, China 期刊论文 ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2020, 卷号: 9, 期号: 12, 页码: 22 作者:  Cao, Yifan;  Jia, Hongliang;  Xiong, Junnan;  Cheng, Weiming;  Li, Kun 收藏  |  浏览/下载：50/0  |  提交时间：2021/03/15 flash flood susceptibility  GIS  Geodetector  certainty factor  logistic regression  Fujian Province   Wind Speed Forecast Based on Post-Processing of Numerical Weather Predictions Using a Gradient Boosting Decision Tree Algorithm 期刊论文 ATMOSPHERE, 2020, 卷号: 11, 期号: 7, 页码: 38 作者:  Xu, Wenqing;  Ning, Like;  Luo, Yong 收藏  |  浏览/下载：10/0  |  提交时间：2021/03/16 wind speed forecast  numerical weather prediction  post processing  gradient boosting decision tree   Modeling landslide susceptibility using LogitBoost alternating decision trees and forest by penalizing attributes with the bagging ensemble 期刊论文 SCIENCE OF THE TOTAL ENVIRONMENT, 2020, 卷号: 718, 页码: 15 作者:  Hong, Haoyuan;  Liu, Junzhi;  Zhu, A-Xing 收藏  |  浏览/下载：16/0  |  提交时间：2020/05/19 Landslide  LogitBoost alternating decision trees  Forest by penalizing attributes  Bagging  Integration model   A Robust Deep Learning Approach for Spatiotemporal Estimation of Satellite AOD and PM2.5 期刊论文 REMOTE SENSING, 2020, 卷号: 12, 期号: 2, 页码: 27 作者:  Li, Lianfa 收藏  |  浏览/下载：16/0  |  提交时间：2020/05/19 PM2.5  satellite AOD  deep learning  autoencoder  residual network  exposure estimation  high spatiotemporal resolution   Predicted and Projected Water Resources Changes in the Chari Catchment, the Lake Chad Basin, Africa 期刊论文 JOURNAL OF HYDROMETEOROLOGY, 2020, 卷号: 21, 期号: 1, 页码: 73-91 作者:  Mahmood, Rashid;  Jia, Shaofeng;  Mahmood, Tariq;  Mehmood, Asif 收藏  |  浏览/下载：7/0  |  提交时间：2020/05/19 Climate change  Hydrology  Hydrologic models   Including soil water stress in process-based ecosystem models by scaling down maximum carboxylation rate using accumulated soil water deficit 期刊论文 AGRICULTURAL AND FOREST METEOROLOGY, 2019, 卷号: 276, 页码: 17 作者:  Chen, Bin;  Chen, Jing M.;  Baldocchi, Dennis D.;  Liu, Yang;  Wang, Shaoqiang 收藏  |  浏览/下载：8/0  |  提交时间：2020/05/19 Ball-Woodrow-Berry slope  Accumulated soil water deficit  Penman-monteith equation  Two-leaf model  Canopy conductance   Cluster-based bagging of constrained mixed-effects models for high spatiotemporal resolution nitrogen oxides prediction over large regions 期刊论文 ENVIRONMENT INTERNATIONAL, 2019, 卷号: 128, 页码: 310-323 作者:  Li, Lianfa;  Girguis, Mariam;  Lurmann, Frederick;  Wu, Jun;  Urman, Robert 收藏  |  浏览/下载：57/0  |  提交时间：2019/09/24 Air pollution  Nitrogen oxides  Spatiotemporal variability  Generalization  Machine learning  Cluster methods