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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 [9]
成都山地灾害与环境研... [3]
自动化研究所 [3]
武汉岩土力学研究所 [3]
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生态环境研究中心 [1]
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OAI收割 [21]
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期刊论文 [17]
会议论文 [3]
学位论文 [1]
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2025 [2]
2024 [3]
2022 [4]
2021 [2]
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基于光学和雷达遥感数据的青藏高原农牧地识别
期刊论文
OAI收割
遥感技术与应用, 2025, 卷号: 40, 期号: 03, 页码: 695-707
作者:
赵劲昌
;
孙晓芳
;
王猛
;
王军邦
  |  
收藏
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浏览/下载:3/0
  |  
提交时间:2025/07/04
Highland barley and oilseed rape
Pasture extraction
Multi-source data fusion
Google Earth Engine
Random forests
Application of Unmanned Aerial Vehicle Remote Sensing on Dangerous Rock Mass Identification and Deformation Analysis: Case Study of a High-Steep Slope in an Open Pit Mine
期刊论文
OAI收割
JOURNAL OF EARTH SCIENCE, 2025, 卷号: 36, 期号: 2, 页码: 750-763
作者:
Du, Wenjie
;
Sheng, Qian
;
Fu, Xiaodong
;
Chen, Jian
;
Kang, Jingyu
  |  
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2025/06/27
high-steep slope
UAV remote sensing
dangerous rock identification
multi-temporal monitoring
multi-source data fusion
engineering geology
A multi-source data fusion method for land cover production: a case study of the East European Plain
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2024, 卷号: 17, 期号: 1, 页码: 18
作者:
Li, Kai
;
Wang, Juanle
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收藏
  |  
浏览/下载:62/0
  |  
提交时间:2024/05/06
Land cover
East European Plain
multi-source data fusion
deep learning
Probabilistic assessment of rockburst risk in TBM-excavated tunnels with multi-source data fusion
期刊论文
OAI收割
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY, 2024, 卷号: 152, 页码: 22
作者:
Yin, Xin
;
Cheng, Shouye
;
Yu, Honggan
;
Pan, Yucong
;
Liu, Quansheng
  |  
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2025/06/27
TBMs
Rockburst
Early warning
Multi-source data fusion
Probabilistic ensemble learning
Research on the Exposure Risk Analysis of Wildfires with a Spatiotemporal Knowledge Graph
期刊论文
OAI收割
FIRE-SWITZERLAND, 2024, 卷号: 7, 期号: 4, 页码: 22
作者:
Ge, Xingtong
;
Peng, Ling
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收藏
  |  
浏览/下载:18/0
  |  
提交时间:2024/05/30
exposure risk analysis knowledge graph
multi-source data fusion
exposure risk analysis
spatiotemporal data
Study on the Weak Interlayer Identification Method Based on Borehole Photo-Acoustic Combined Measurement: Application to a Landslide Case Study
期刊论文
OAI收割
APPLIED SCIENCES-BASEL, 2022, 卷号: 12, 期号: 20
作者:
Wang, Jinchao
;
Huang, Junfeng
;
Min, Hui
;
Wang, Feng
;
Wang, Yiteng
  |  
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2023/08/02
photo-acoustic combination measurement
weak interlayer
multi-source data fusion
borehole data visualization
borehole image processing
Disaster Prediction Knowledge Graph Based on Multi-Source Spatio-Temporal Information
期刊论文
OAI收割
Remote Sensing, 2022, 期号: 14, 页码: 1214
作者:
Ge, Xingtong
;
Yang, Yi
;
Chen, Jiahui
;
Li, Weichao
;
Huang, Zhisheng
  |  
收藏
  |  
浏览/下载:34/0
  |  
提交时间:2022/03/31
disaster prediction knowledge graph
spatio-temporal
disaster dynamic prediction
multi-source data fusion
forest fire risk prediction
geological landslide risk prediction
Long Time-Series Mapping and Change Detection of Coastal Zone Land Use Based on Google Earth Engine and Multi-Source Data Fusion
期刊论文
OAI收割
REMOTE SENSING, 2022, 卷号: 14, 期号: 1, 页码: 14
作者:
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收藏
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浏览/下载:40/0
  |  
提交时间:2022/09/21
coastal zone
land use
time series
multi-source data fusion
random forest
classification
change detection
reclamation
aquaculture
Long Time-Series Mapping and Change Detection of Coastal Zone Land Use Based on Google Earth Engine and Multi-Source Data Fusion
期刊论文
OAI收割
REMOTE SENSING, 2022, 卷号: 14, 期号: 1, 页码: 14
作者:
Chen, Dong
;
Wang, Yafei
;
Shen, Zhenyu
  |  
收藏
  |  
浏览/下载:37/0
  |  
提交时间:2022/09/21
coastal zone
land use
time series
multi-source data fusion
random forest
classification
change detection
reclamation
aquaculture
Characteristics of Global Ocean Abnormal Mesoscale Eddies Derived From the Fusion of Sea Surface Height and Temperature Data by Deep Learning
期刊论文
OAI收割
GEOPHYSICAL RESEARCH LETTERS, 2021, 卷号: 48, 期号: 17, 页码: 11
作者:
Liu, Yingjie
;
Zheng, Quanan
;
Li, Xiaofeng
  |  
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2021/11/30
meososcale eddies
abnormal eddies
multi-source remote sensing data
deep learning
data fusion
statistical analysis of spatiotemporal characteristics