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... [16]
地质与地球物理研究... [11]
广州地球化学研究所 [3]
广州能源研究所 [3]
地球环境研究所 [2]
南海海洋研究所 [1]
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OAI收割 [40]
内容类型
期刊论文 [40]
发表日期
2024 [3]
2023 [4]
2022 [10]
2021 [6]
2020 [8]
2019 [2]
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学科主题
Environmen... [1]
Geoscience... [1]
Imaging Sc... [1]
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A dual-path model merging CNN and RNN with attention mechanism for crop classification
期刊论文
OAI收割
EUROPEAN JOURNAL OF AGRONOMY, 2024, 卷号: 159, 页码: 127273
作者:
Zhang, Fuyao
;
Yin, Jielin
;
Wu, Nan
;
Hu, Xinyu
;
Sun, Shikun
  |  
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2024/08/22
Crop classification
Deep learning
Google Earth Engine
Attention mechanism
Time-series data
Exploring synergistic and individual causal effects of rare earth elements and renewable energy on multidimensional economic complexity for sustainable economic development
期刊论文
OAI收割
APPLIED ENERGY, 2024, 卷号: 364, 页码: 21
作者:
Abbas, Khizar
;
Han, Mengyao
;
Xu, Deyi
;
Butt, Khalid Manzoor
;
Baz, Khan
  |  
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2024/07/24
Rare earth elements
Renewable energy
Multidimensional economic complexity
Sustainable development
Deep learning -based causal inference
Temporal causal modelling
Fine-resolution estimation for urban surface water pollution susceptibility with multi-modal earth observation data
期刊论文
OAI收割
ENVIRONMENTAL RESEARCH LETTERS, 2024, 卷号: 19, 期号: 6, 页码: 9
作者:
Shao, Mengmeng
;
Xie, Xiao
;
E, Chao
;
Li, Jingzhong
;
Ren, Wanxia
  |  
收藏
  |  
浏览/下载:32/0
  |  
提交时间:2024/07/24
multi-modal earth observation data
very-high-resolution UAV image
deep learning
surface water pollution susceptibility
water quality
NanoSIMS analysis of water content in bridgmanite at the micron scale: an experimental approach to probe water in Earth's deep mantle (vol 11, 1166593, 2023)
期刊论文
OAI收割
FRONTIERS IN CHEMISTRY, 2023, 卷号: 11, 页码: 1
作者:
Yang, Ya-Nan
;
Du, Zhixue
;
Lu, Wenhua
;
Qi, Yue
;
Zhang, Yan-Qiang
  |  
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2024/08/22
water
bridgmanite
NanoSIMS
high pressure
deep Earth
Electromagnetic Field of a HED in the Spherical "Earth-Ionosphere" Model and Its Application in Geophysics
期刊论文
OAI收割
REMOTE SENSING, 2023, 卷号: 15, 期号: 9, 页码: 16
作者:
Gao, Ya
;
Di, Qing-Yun
  |  
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2023/12/29
controlled source extremely low frequency
deep mineral resources
spherical Earth-ionosphere model
electromagnetic field
NanoSIMS analysis of water content in bridgmanite at the micron scale: An experimental approach to probe water in Earth's deep mantle
期刊论文
OAI收割
FRONTIERS IN CHEMISTRY, 2023, 卷号: 11, 页码: 12
作者:
Yang, Ya-Nan
;
Du, Zhixue
;
Lu, Wenhua
;
Qi, Yue
;
Zhang, Yan-Qiang
  |  
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2024/08/22
water
bridgmanite
NanoSIMS
high pressure
deep Earth
Implication From Mineralogical and Geochemical Characteristics of Authigenic Micronodules in the Haima Cold Seeps for Understanding the Manganese Geochemistry in Active Seepage
期刊论文
OAI收割
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2023, 卷号: 128, 期号: 3, 页码: e2022JC019194
作者:
Zhang, Huan
;
Zhou, Junming
;
Yuan, Peng
;
Dong, Yanhui
;
Fan, Wenxiao
  |  
收藏
  |  
浏览/下载:161/0
  |  
提交时间:2024/09/26
RARE-EARTH-ELEMENTS
DEEP-SEA SEDIMENTS
GAS-HYDRATE
FERROMANGANESE NODULES
ANAEROBIC OXIDATION
CRYSTAL-CHEMISTRY
HYDROCARBON SEEPS
POLYMETALLIC NODULES
GEOLOGICAL CONTROL
METHANE SEEPS
Mantle geochemistry in China with a view from modern Earth system science
期刊论文
OAI收割
ACTA PETROLOGICA SINICA, 2022, 卷号: 38, 期号: 12, 页码: 3597-3608
作者:
Zhou XinHua
  |  
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2023/03/30
Mantle geochemistry
Modern Earth system science
Deep Geodynamics
Subcontinental Lithosphere
Evolution of diagenetic fluids in the deeply buried, upper Ediacaran Dengying Formation, Central Sichuan Basin, China
期刊论文
OAI收割
AUSTRALIAN JOURNAL OF EARTH SCIENCES, 2022, 页码: 17
作者:
Hu, Y. J.
;
Cai, C. F.
;
Li, Y.
;
Zhou, R.
;
Tang, Y. J.
  |  
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2023/03/31
Ediacaran
deep-burial
dolostone reservoir
diagenetic fluids
rare earth elements
Forecasting Weekly Dengue Cases by Integrating Google Earth Engine-Based Risk Predictor Generation and Google Colab-Based Deep Learning Modeling in Fortaleza and the Federal District, Brazil
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2022, 卷号: 19, 期号: 20, 页码: 16
作者:
Li, Zhichao
  |  
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2022/11/18
dengue risk prediction
big geospatial data
Google Earth Engine
cloud deep learning
Google Colab