中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
地理科学与资源研究所 [8]
地质与地球物理研究所 [1]
遥感与数字地球研究所 [1]
过程工程研究所 [1]
自动化研究所 [1]
植物研究所 [1]
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OAI收割 [13]
内容类型
期刊论文 [11]
SCI/SSCI论文 [1]
会议论文 [1]
发表日期
2023 [1]
2022 [1]
2021 [1]
2020 [4]
2018 [3]
2017 [1]
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学科主题
Environmen... [1]
Geoscience... [1]
Imaging Sc... [1]
Remote Sen... [1]
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题名升序
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Hydrochemistry and carbon isotope characteristics of Nujiang River water: Implications for CO
2
budgets of rock weathering in the Tibetan Plateau
期刊论文
OAI收割
SCIENCE CHINA-EARTH SCIENCES, 2023, 页码: 18
作者:
Liu, Wenjing
;
Sun, Huiguo
;
Li, Yuanchuan
;
Xu, Zhifang
  |  
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2024/01/02
Tibetan Plateau
Nujiang River Basin
CO2 budgets of rock weathering
Hydrochemistry and carbon isotope composition
High spatiotemporal resolution
Quantifying spatiotemporal dynamics of urban building and material metabolism by combining a random forest model and GIS-based material flow analysis
期刊论文
OAI收割
FRONTIERS IN EARTH SCIENCE, 2022, 卷号: 10, 页码: 13
作者:
Mao, Ting
;
Liu, Yupeng
;
Chen, Wei-Qiang
;
Li, Nan
;
Dong, Nan
  |  
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2023/02/24
material flow analysis
geographic information systems
spatiotemporal analysis
random forest
building vintage
industrial ecology
high-resolution urban grids
A Spatiotemporal Change Detection Method for Monitoring Pine Wilt Disease in a Complex Landscape Using High-Resolution Remote Sensing Imagery
期刊论文
OAI收割
REMOTE SENSING, 2021, 卷号: 13, 期号: 11
作者:
Zhang, Biyao
;
Ye, Huichun
;
Lu, Wei
;
Huang, Wenjiang
;
Wu, Bo
  |  
收藏
  |  
浏览/下载:34/0
  |  
提交时间:2023/02/24
pine wilt disease
high-resolution remote sensing
spatiotemporal analysis
complex landscape
Ensemble-based deep learning for estimating PM2.5 over California with multisource big data including wildfire smoke
期刊论文
OAI收割
ENVIRONMENT INTERNATIONAL, 2020, 卷号: 145, 页码: 16
作者:
Li, Lianfa
;
Girguis, Mariam
;
Lurmann, Frederick
;
Pavlovic, Nathan
;
McClure, Crystal
  |  
收藏
  |  
浏览/下载:112/0
  |  
提交时间:2021/03/16
PM2.5
Machine learning
Air pollution exposure
Wildfires
Remote sensing
California
High spatiotemporal resolution
Ensemble-based deep learning for estimating PM2.5 over California with multisource big data including wildfire smoke
期刊论文
OAI收割
ENVIRONMENT INTERNATIONAL, 2020, 卷号: 145, 页码: 16
作者:
Li, Lianfa
;
Girguis, Mariam
;
Lurmann, Frederick
;
Pavlovic, Nathan
;
McClure, Crystal
  |  
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2021/03/16
PM2.5
Machine learning
Air pollution exposure
Wildfires
Remote sensing
California
High spatiotemporal resolution
A Robust Deep Learning Approach for Spatiotemporal Estimation of Satellite AOD and PM2.5
期刊论文
OAI收割
REMOTE SENSING, 2020, 卷号: 12, 期号: 2, 页码: 27
作者:
Li, Lianfa
  |  
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2020/05/19
PM2.5
satellite AOD
deep learning
autoencoder
residual network
exposure estimation
high spatiotemporal resolution
A Robust Deep Learning Approach for Spatiotemporal Estimation of Satellite AOD and PM2.5
期刊论文
OAI收割
REMOTE SENSING, 2020, 卷号: 12, 期号: 2, 页码: 27
作者:
Li, Lianfa
  |  
收藏
  |  
浏览/下载:32/0
  |  
提交时间:2020/05/19
PM2.5
satellite AOD
deep learning
autoencoder
residual network
exposure estimation
high spatiotemporal resolution
Estimation of PM2.5 concentrations at a high spatiotemporal resolution using constrained mixed-effect bagging models with MAIAC aerosol optical depth
期刊论文
OAI收割
REMOTE SENSING OF ENVIRONMENT, 2018, 卷号: 217, 页码: 573-586
作者:
Li, Lianfa
;
Zhang, Jiehao
;
Meng, Xia
;
Fang, Ying
;
Ge, Yong
  |  
收藏
  |  
浏览/下载:38/0
  |  
提交时间:2019/05/23
PM2.5
MAIAC AOD
High spatiotemporal resolution
Temporal variation
AOD-PM2.5 associations
Spatial effects
Missingness
Machine learning
Estimation of PM2.5 concentrations at a high spatiotemporal resolution using constrained mixed-effect bagging models with MAIAC aerosol optical depth
期刊论文
OAI收割
REMOTE SENSING OF ENVIRONMENT, 2018, 卷号: 217, 页码: 573-586
作者:
Li, Lianfa
;
Zhang, Jiehao
;
Meng, Xia
;
Fang, Ying
;
Ge, Yong
  |  
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2019/05/23
PM2.5
MAIAC AOD
High spatiotemporal resolution
Temporal variation
AOD-PM2.5 associations
Spatial effects
Missingness
Machine learning
Estimation of PM2.5 concentrations at a high spatiotemporal resolution using constrained mixed-effect bagging models with MAIAC aerosol optical depth
期刊论文
OAI收割
REMOTE SENSING OF ENVIRONMENT, 2018, 卷号: 217, 页码: 573-586
作者:
Li, Lianfa
;
Zhang, Jiehao
;
Meng, Xia
;
Fang, Ying
;
Ge, Yong
  |  
收藏
  |  
浏览/下载:38/0
  |  
提交时间:2019/05/23
PM2.5
MAIAC AOD
High spatiotemporal resolution
Temporal variation
AOD-PM2.5 associations
Spatial effects
Missingness
Machine learning