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Remote sensing monitoring of total suspended solids concentration in Jiaozhou Bay based on multi-source data
期刊论文
ECOLOGICAL INDICATORS, 2023, 卷号: 154, 页码: 12
作者:
Zhang, Xiang
;
Huang, Jue
;
Chen, Junjie
;
Zhao, Yongfang
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2023/12/13
Jiaozhou Bay
Total suspended solids concentration
Ocean color
Long-term monitoring
Landsat and MODIS
Evaluation of Consistency Among MODIS Land Surface Temperature Products for Monitoring Surface Warming Trend Over the Tibetan Plateau
期刊论文
EARTH AND SPACE SCIENCE, 2023, 卷号: 10, 期号: 1, 页码: 19
作者:
Yang, Mengjiao
;
Zhao, Wei
;
Cai, Junfei
;
Yang, Yujia
;
Fu, Hao
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2023/11/23
land surface temperature
MODIS
temperature variation
spatial consistency
trend analysis
Tibetan Plateau
A Spatial Downscaling Method for Deriving High-Resolution Downward Shortwave Radiation Data Under All-Sky Conditions
期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023, 卷号: 61, 页码: 11
作者:
Zhao, Wei
;
Wang, Wei
;
Zhou, Ji
;
Ding, Lirong
;
Yu, Daijun
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2023/11/16
All-sky condition
downward shortwave radia-tion (DSR)
Landsat
Meteosat Second Generation (MSG)
spatial downscaling
Soil Texture and Its Relationship with Environmental Factors on the Qinghai-Tibet Plateau
期刊论文
REMOTE SENSING, 2022, 卷号: 14, 期号: 15
作者:
Liu, Yadong
;
Wu, Xiaodong
;
Wu, Tonghua
;
Zhao, Lin
;
Li, Ren
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  |  
浏览/下载:35/0
  |  
提交时间:2022/09/22
digital soil mapping
machine learning
soil particle size
random forest
soil pits
Updatable dataset revealing decade changes in land cover types in Mongolia
期刊论文
GEOSCIENCE DATA JOURNAL, 2022, 页码: 14
作者:
Wang, Juanle
;
Wei, Haishuo
;
Cheng, Kai
;
Ochir, Altansukh
;
Shao, Yating
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  |  
浏览/下载:26/0
  |  
提交时间:2022/04/12
Prediction of Vertical Profile of NOx2082; Using Deep Multimodal Fusion Network Based on the Ground-Based 3-D Remote Sensing
期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60
作者:
Zhang, Shulin
;
Li, Bo
;
Liu, Lei
;
Hu, Qihou
;
Liu, Haoran
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  |  
浏览/下载:78/0
  |  
提交时间:2022/01/10
Pollution measurement
Atmospheric modeling
Atmospheric measurements
Predictive models
Solid modeling
Data models
Instruments
3-D prediction of NO2
deep learning neural network
multiaxis differential optical absorption spectroscopy (MAX-DOAS)
multimodal information fusion
remote sensing
A Data-Driven Deep Learning Model for Weekly Sea Ice Concentration Prediction of the Pan-Arctic During the Melting Season
期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 19
作者:
Ren, Yibin
;
Li, Xiaofeng
;
Zhang, Wenhao
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  |  
浏览/下载:15/0
  |  
提交时间:2022/07/18
Deep fully convolutional networks (FCNs)
recursively predicting
satellite-derived sea ice concentration (SIC)
SIC prediction
temporal-spatial attention
AlgaeNet: A Deep-Learning Framework to Detect Floating Green Algae From Optical and SAR Imagery
期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2022, 卷号: 15, 页码: 2782-2796
作者:
Gao, Le
;
Li, Xiaofeng
;
Kong, Fanzhou
;
Yu, Rencheng
;
Guo, Yuan
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2022/07/18
Algae
MODIS
Synthetic aperture radar
Optical sensors
Optical imaging
Marine vehicles
Spatial resolution
Deep learning (DL)
green algae detection
satellite remote sensing
Directional Total Variation Regularized High-Resolution Prestack AVA Inversion
期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 11
作者:
Huang, Guangtan
;
Chen, Xiaohong
;
Qu, Shan
;
Bai, Min
;
Chen, Yangkang
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  |  
浏览/下载:28/0
  |  
提交时间:2022/02/17
Mathematical model
Digital TV
Rocks
Media
Data models
Transforms
Tools
Directional total variation (DTV)
high resolution
prestack amplitude variation with angle (AVA) inversion
seismic slope
Topographic Reconstruction of the "Tianwen-1" Landing Area on the Mars Using High Resolution Imaging Camera Images¥W. Yan, X. Ren, J. J. Liu, L. Zhang, W. L. Chen, D. Wang, Q. Fu, X. Tan, X. X. Zhang, H. B. Ai, B. Q. Wang, Q. Q. Zhi, Z. C. Huang and C. Song¥2022¥Ieee Transactions on Geoscience and Remote Sensing¥0196-2892¥60¥14¥High-resolution optical cameras have always been important scientific payloads in Mars exploration missions, and the Mars topographic data produced by their detection data can provide support for scientific research on Mars geomorphology and geological structure evolution. As of December 2021, there are still relatively few high-resolution image data at the submeter level on the Martian surface, with about 2.6% global coverage and even more limited stereo coverage (just about 0.4%). At the same time, there are still some difficulties in data acquisition and terrain reconstruction processing methods for high-resolution Mars images that need to be solved. This article described how we designed the in-orbit stereo imaging strategy based on the characteristics of the high-resolution imaging camera (HiRIC) of China's first Mars exploration mission (Tianwen-1), studied the technical solutions for HiRIC stereo image photogrammetry processing, and produced a topographic dataset for the "Tianwen-1" landing area, including a digital orthophoto map (DOM) with a ground sample distance (GSD) of 0.7 and 3.5 m and a digital elevation model (DEM) with a GSD of 3.5 m. Precision analysis results show that these topographic data have good consistency in planar position and elevation compared with the existing Mars terrain data and have advantages in spatial resolution and terrain detail expression, which will be widely used in the geological background study of the "Tianwen-1" landing area, as well as landing site positioning, Martian surface remote operation planning, and other Mars scientific research and engineering tasks.¥internal-pdf://4050454703/Topographic Reconstruction of the _Tianwen-1_.pdf¥10.1109/tgrs.2022.3206961¥https://ieeexplore.ieee.org/ielx7/36/9633014/09893203.pdf?tp=&arnumber=9893203&isnumber=9633014&ref=¥英语¥sci&ei
期刊论文
Ieee Transactions on Geoscience and Remote Sensing, 2022, 卷号: 60, 页码: 14
作者:
W. Yan
;
X. Ren
;
J. J. Liu
;
L. Zhang
;
W. L. Chen
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  |  
浏览/下载:8/0
  |  
提交时间:2023/06/14
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