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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
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四川山区农村面源污染负荷估算与评价
期刊论文
OAI收割
农业工程学报, 2106, 卷号: 32, 期号: 24, 页码: 218-225
作者:
刘菊
;
傅斌
;
王玉宽
;
徐佩
收藏
  |  
浏览/下载:7214/0
  |  
提交时间:2017/01/18
农业
污染
模型
水环境功能分区
产水量
空间差异
Remote sensing of terrestrial gross primary productivity: a review of advances in theoretical foundation, key parameters and methods
期刊论文
OAI收割
GISCIENCE & REMOTE SENSING, 2024, 卷号: 61, 期号: 1, 页码: 32
作者:
Zhu, Wenquan
;
Xie, Zhiying
;
Zhao, Cenliang
;
Zheng, Zhoutao
;
Qiao, Kun
  |  
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2024/04/01
Gross primary production (GPP)
light use efficiency (LUE)
photosynthetic process
remote sensing
sun-induced chlorophyll fluorescence (SIF)
Estimation of soil water storage according to its multi-scale correlations with environmental factors
期刊论文
OAI收割
SOIL & TILLAGE RESEARCH, 2024, 卷号: 238, 页码: 11
作者:
Li, Xuezhang
;
Shao, Ming 'an
;
Hu, Wei
;
Xu, Xianli
;
Wang, Kelin
  |  
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2024/04/01
Soil moisture estimation
Multivariate empirical mode decomposition
Nonlinear process
Intrinsic mode functions
Soil moisture condition
A multi-factor spatio-temporal correlation analysis method for PV development potential estimation
期刊论文
OAI收割
RENEWABLE ENERGY, 2024, 卷号: 223, 页码: 14
作者:
Xiang, Yue
;
Tang, Qingwei
;
Xu, Weiting
;
Hu, Shuai
;
Zhao, Pengfei
  |  
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2024/03/27
PV power generation
Correlation analysis
Probability distribution
XGBoost
Development potential
Evaluation of Leaf-To-Canopy Upscaling Approaches for Simulating Canopy Carbonyl Sulfide Uptake and Gross Primary Productivity
期刊论文
OAI收割
JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES, 2024, 卷号: 129, 期号: 3, 页码: e2023JG007521
作者:
Chen, Bin
;
Wang, Pengyuan
;
Wang, Shaoqiang
;
Liu, Zhenhai
;
Croft, Holly
  |  
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2024/04/08
the big-leaf model
the two-big-leaf model
the two-leaf model
carbonyl sulfide
leaf-to-canopy upscaling
terrestrial biosphere modeling
Estimation of the Ecosystem Service Value of the Yellow River Delta-Laizhou Bay Coastal Zone Considering Regional Differences and Social Development
期刊论文
OAI收割
ENVIRONMENTAL MANAGEMENT, 2024, 页码: 14
作者:
Yan, Jinfeng
;
Geng, Jiali
;
Su, Fenzhen
  |  
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2024/04/01
Ecosystem service value
Yellow River Delta-Laizhou Bay
Coastal zone
Land use/cover change
Estimation of Regional Evapotranspiration Based on the Decouple Model and Remote Sensing Information --a Case Study in Beijing City and Nearby Region
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2024, 页码: 22
作者:
Di, Su-Chuang
;
Li, Zhao-Liang
;
Ren, Yanmin
;
Liu, Meng
;
Jiang, Ya-Zhen
  |  
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2024/04/01
Evapotranspiration (ET)
decouple model
surface resistance
water consumption
Surface flux equilibrium estimates of evaporative fraction and evapotranspiration at global scale: Accuracy evaluation and performance comparison
期刊论文
OAI收割
AGRICULTURAL WATER MANAGEMENT, 2024, 卷号: 291, 页码: 15
作者:
Zhu, Wenbin
;
Yu, Xiaoyu
;
Wei, Jiaxing
;
Lv, Aifeng
  |  
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2024/01/22
Global evapotranspiration
Evaporative fraction
Surface flux equilibrium
Accuracy evaluation
Model comparison
Indirect estimation of pediatric reference interval via density graph deep embedded clustering
期刊论文
OAI收割
COMPUTERS IN BIOLOGY AND MEDICINE, 2024, 卷号: 169, 页码: 10
作者:
Zheng, Jianguo
;
Tang, Yongqiang
;
Peng, Xiaoxia
;
Zhao, Jun
;
Chen, Rui
  |  
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2024/03/27
Reference interval
Reference interval
Indirect estimation
Indirect estimation
Machine learning
Machine learning
Deep neural networks
Deep neural networks
Graph clustering
Graph clustering
Landslide hazard spatiotemporal prediction based on data-driven models: Estimating where, when and how large landslide may be
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2024, 卷号: 126, 页码: 13
作者:
Fang, Zhice
;
Wang, Yi
;
van Westen, Cees
;
Lombardo, Luigi
  |  
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2024/03/01
Spatiotemporal landslide hazard prediction
Exceedance probability
Slope unit
Spatiotemporal cross-validation