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科研机构
武汉大学 [32]
北京大学 [1]
地理科学与资源研究所 [1]
华中师范大学 [1]
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期刊论文 [28]
会议论文 [7]
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2021 [1]
2019 [2]
2018 [2]
2017 [2]
2016 [5]
2015 [1]
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浏览/检索结果:
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Estimation of Field-Level NOx Emissions from Crop Residue Burning Using Remote Sensing Data: A Case Study in Hubei, China
期刊论文
REMOTE SENSING, 2021, 卷号: 13, 期号: 3, 页码: 20
作者:
Shen, Yonglin
;
Jiang, Changmin
;
Chan, Ka Lok
;
Hu, Chuli
;
Yao, Ling
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2021/04/25
NOx emission
crop residue burning
field-level
moderate-resolution imaging spectroradiometer (MODIS)
fire radiative power (FRP)
Improving the North American multi-model ensemble (NMME) precipitation forecasts at local areas using wavelet and machine learning
期刊论文
CLIMATE DYNAMICS, 2019, 卷号: 53, 期号: 1-2
作者:
Xu, Lei
;
Chen, Nengcheng
;
Zhang, Xiang
;
Chen, Zeqiang
;
Hu, Chuli
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2019/12/05
NMME
Precipitation forecast
Bias correction
Wavelet
Machine learning
A spatiotemporal deep learning model for sea surface temperature field prediction using time-series satellite data
期刊论文
ENVIRONMENTAL MODELLING & SOFTWARE, 2019, 卷号: 120
作者:
Xiao, Changjiang
;
Chen, Nengcheng
;
Hu, Chuli
;
Wang, Ke
;
Xu, Zewei
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2019/12/05
Big data modelling
Spatiotemporal deep learning
ConvLSTM
Sea surface temperature (SST)
Field prediction
Time-series satellite data
An Observation Capability Semantic-Associated Approach to the Selection of Remote Sensing Satellite Sensors: A Case Study of Flood Observations in the Jinsha River Basin
期刊论文
SENSORS, 2018, 卷号: 18, 期号: 5
作者:
Hu, Chuli
;
Li, Jie
;
Lin, Xin
;
Chen, Nengcheng
;
Yang, Chao
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/05
semantic sensor web
observation capability ontology
sensor selection
observation planning
flood satellite sensors
flood observation
An observation capability semantic-associated approach to the selection of remote sensing satellite sensors: A case study of flood observations in the Jinsha river basin
期刊论文
Sensors (Switzerland), 2018, 卷号: 18, 期号: 5
作者:
Hu, Chuli
;
Li, Jie
;
Lin, Xin
;
Chen, Nengcheng
;
Yang, Chao
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/05
Optimizing the configuration of precipitation stations in a space-ground integrated sensor network based on spatial-temporal coverage maximization
期刊论文
JOURNAL OF HYDROLOGY, 2017, 卷号: 548
作者:
Wang, Ke
;
Guan, Qingfeng
;
Chen, Nengcheng
;
Tong, Daoqin
;
Hu, Chuli
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2019/12/05
Ground-based precipitation station
Space-borne precipitation radar
Optimal configuration
Time-continuous maximal covering location problem
Jinsha River Basin
Optimizing the configuration of precipitation stations in a space-ground integrated sensor network based on spatial-temporal coverage maximization
期刊论文
JOURNAL OF HYDROLOGY, 2017, 卷号: 548
作者:
Wang, Ke
;
Guan, Qingfeng
;
Chen, Nengcheng
;
Tong, Daoqin
;
Hu, Chuli
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2019/12/05
Ground-based precipitation station
Space-borne precipitation radar
Optimal configuration
Time-continuous maximal covering location problem
Jinsha River Basin
An emergency mission oriented evaluating method for space-based satellite sensors' observation combination
期刊论文
Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University, 2016, 卷号: 41, 期号: 10
作者:
Hu, Chuli
;
Liu, Yidong
;
Zhang, Xiang
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/05
Representing geospatial environment observation capability information: A case study of managing flood monitoring sensors in the jinsha river basin
期刊论文
Sensors (Switzerland), 2016, 卷号: 16, 期号: 12
作者:
Chen, Nengcheng
;
Guan, Qingfeng
;
Li, Jie
;
Wang, Ke
;
Hu, Chuli
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/05
Representing Geospatial Environment Observation Capability Information: A Case Study of Managing Flood Monitoring Sensors in the Jinsha River Basin
期刊论文
SENSORS, 2016, 卷号: 16, 期号: 12
作者:
Hu, Chuli
;
Guan, Qingfeng
;
Li, Jie
;
Wang, Ke
;
Chen, Nengcheng
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2019/12/05
environment monitoring
Sensor Web
observation capability representation
sensor discovery and collaboration
flood
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