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地理科学与资源研究... [21]
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SCI/SSCI论... [12]
期刊论文 [8]
EI期刊论文 [1]
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2021 [2]
2020 [1]
2018 [1]
2017 [2]
2016 [2]
2015 [3]
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专题:地理科学与资源研究所
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Bidirectional Spatio-Temporal Association Between the Observed Results of Ulva Prolifera Green Tides in the Yellow Sea and the Social Response in Sina Weibo
期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2021, 卷号: 14, 页码: 5988-6008
作者:
Wang, Zhongyuan
;
Fang, Zhixiang
;
Zhang, Yu
;
Song, Zhanlong
收藏
  |  
浏览/下载:72/0
  |  
提交时间:2021/08/19
Green tide
remote sensing (RS)
social media
spatial-temporal association
Ulva prolifera
Application of machine learning methods for the prediction of organic solid waste treatment and recycling processes: A review
期刊论文
BIORESOURCE TECHNOLOGY, 2021, 卷号: 319, 页码: 13
作者:
Guo, Hao-nan
;
Wu, Shu-biao
;
Tian, Ying-jie
;
Zhang, Jun
;
Liu, Hong-tao
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2021/03/15
Machine learning
Organic solid waste
Modeling
Prediction
Application of neural network and time series modeling to study the suitability of drain water quality for irrigation: a case study from Egypt
期刊论文
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2020, 页码: 17
作者:
Abdel-Fattah, Mohamed K.
;
Mokhtar, Ali
;
Abdo, Ahmed, I
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2021/03/18
Water resources
IWQI
Artificial neural networks (ANN)
ARIMA
Time series
Egypt
Estimating Saturated Hydraulic Conductivity along a South-North Transect in the Loess Plateau of China
期刊论文
SOIL SCIENCE SOCIETY OF AMERICA JOURNAL, 2018, 卷号: 82, 期号: 5, 页码: 1033-1045
作者:
Yang, Yang
;
Jia, Xiaoxu
;
Wendroth, Ole
;
Liu, Baoyuan
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2019/05/23
Estimation of Forest Biomass Patterns across Northeast China Based on Allometric Scale Relationship
期刊论文
FORESTS, 2017, 卷号: 8, 期号: 8, 页码: 13
作者:
Ni, Xiliang
;
Cao, Chunxiang
;
Zhou, Yuke
;
Ding, Lin
;
Choi, Sungho
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2019/09/25
forest aboveground biomass
root biomass
tree heights
GLAS
artificial neural network
allometric scaling and resource limitation
Spatially distributed modeling of soil organic carbon across China with improved accuracy
期刊论文
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS, 2017, 卷号: 9, 期号: 2, 页码: 1167-1185
作者:
Li, Qi-quan
;
Zhang, Hao
;
Jiang, Xin-ye
;
Luo, Youlin
;
Wang, Chang-quan
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2019/09/25
Wavelet-Based Hydrological Time Series Forecasting
SCI/SSCI论文
2016
作者:
Sang Y. F.
;
Singh, V. P.
;
Sun, F. B.
;
Chen, Y. N.
;
Liu, Y.
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2017/11/09
Hydrological forecasting
Artificial intelligence modeling
Wavelet
analysis
Temporal scale
Hydrological time series analysis
Statistical
significance
neural-network models
practical guide
streamflow
trends
rivers
Wavelet-Based Hydrological Time Series Forecasting
SCI/SSCI论文
2016
作者:
Sang Y. F.
;
Singh, V. P.
;
Sun, F. B.
;
Chen, Y. N.
;
Liu, Y.
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2016/12/16
Hydrological forecasting
Artificial intelligence modeling
Wavelet
analysis
Temporal scale
Hydrological time series analysis
Statistical
significance
neural-network models
practical guide
streamflow
trends
rivers
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
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
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