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科研机构
地理科学与资源研究... [14]
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期刊论文 [13]
SCI/SSCI论文 [1]
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2021 [2]
2020 [6]
2019 [2]
2018 [3]
2008 [1]
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专题:地理科学与资源研究所
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Incorporation of high accuracy surface modeling into machine learning to improve soil organic matter mapping
期刊论文
ECOLOGICAL INDICATORS, 2021, 卷号: 129, 页码: 13
作者:
Wang, Zong
;
Du, Zhengping
;
Li, Xiaoyan
;
Bao, Zhengyi
;
Zhao, Na
收藏
  |  
浏览/下载:52/0
  |  
提交时间:2021/11/05
Soil organic matter
Dongzhi Loess Tableland
Gradient boosting modeling
Random forest
High accuracy surface modeling
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
A Framework to Predict High-Resolution Spatiotemporal PM(2.5)Distributions Using a Deep-Learning Model: A Case Study of Shijiazhuang, China
期刊论文
REMOTE SENSING, 2020, 卷号: 12, 期号: 17, 页码: 33
作者:
Zhang, Guangyuan
;
Lu, Haiyue
;
Dong, Jin
;
Poslad, Stefan
;
Li, Runkui
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2021/03/16
PM2.5
AOD
XGBoost
prediction
deep learning
ConvLSTM
SARIMA
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:9/0
  |  
提交时间:2021/03/16
wind speed forecast
numerical weather prediction
post processing
gradient boosting decision tree
Systematic comparison of five machine-learning models in classification and interpolation of soil particle size fractions using different transformed data
期刊论文
HYDROLOGY AND EARTH SYSTEM SCIENCES, 2020, 卷号: 24, 期号: 5, 页码: 2505-2526
作者:
Zhang, Mo
;
Shi, Wenjiao
;
Xu, Ziwei
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2021/03/23
Direct and Lagged Effects of Spring Phenology on Net Primary Productivity in the Alpine Grasslands on the Tibetan Plateau
期刊论文
REMOTE SENSING, 2020, 卷号: 12, 期号: 7, 页码: 14
作者:
Zheng, Zhoutao
;
Zhu, Wenquan
;
Zhang, Yangjian
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  |  
浏览/下载:2/0
  |  
提交时间:2021/03/23
spring phenology
net primary productivity
lagged effect
alpine grasslands
precipitation
Tibetan Plateau
Identifying the Contributions of Multi-Source Data for Winter Wheat Yield Prediction in China
期刊论文
REMOTE SENSING, 2020, 卷号: 12, 期号: 5, 页码: 22
作者:
Cao, Juan
;
Zhang, Zhao
;
Tao, Fulu
;
Zhang, Liangliang
;
Luo, Yuchuan
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2021/03/23
machine learning (ML)
multi-source data
yield prediction
winter wheat
Estimation of Travel Time Based on Ensemble Method With Multi-Modality Perspective Urban Big Data
期刊论文
IEEE ACCESS, 2020, 卷号: 8, 页码: 24819-24828
作者:
Zou, Zhiqiang
;
Yang, Haoyu
;
Zhu, A-Xing
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2020/05/19
Travel time estimation
ensemble method
deep neural network
gradient boosted decision trees
Identification of the Debris Flow Process Types within Catchments of Beijing Mountainous Area
期刊论文
WATER, 2019, 卷号: 11, 期号: 4, 页码: 26
作者:
Wang, Nan
;
Cheng, Weiming
;
Zhao, Min
;
Liu, Qiangyi
;
Wang, Jing
收藏
  |  
浏览/下载:53/0
  |  
提交时间:2019/09/24
debris flow process
machinelearning
catchment
Beijing mountainous area
Water Resources Assessment of China's Transboundary River Basins Using a Machine Learning Approach
期刊论文
WATER RESOURCES RESEARCH, 2019, 卷号: 55, 期号: 1, 页码: 632-655
作者:
Yan, Jiabao
;
Jia, Shaofeng
;
Lv, Aifeng
;
Zhu, Wenbin
收藏
  |  
浏览/下载:87/0
  |  
提交时间:2019/05/22
water resources
runoff coefficient
machine learning
transboundary river
China
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