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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
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Long-term dynamics of peak photosynthesis timing and environmental controls in the Tibetan Plateau monitored by satellite solar-induced chlorophyll fluorescence
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2024, 卷号: 17, 期号: 1, 页码: 22
作者:
Tu, Zhiqin
;
Sun, Yuan
;
Wu, Chaoyang
;
Ding, Zhi
;
Tang, Xuguang
  |  
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2024/02/05
Vegetation phenology
peak photosynthesis timing
global change
eddy covariance
Tibetan Plateau
New Vacuum Solar Telescope Achieves Narrowband Infrared Solar Imaging Observation at He i 10830 Å
期刊论文
OAI收割
RESEARCH IN ASTRONOMY AND ASTROPHYSICS, 2024, 卷号: 24, 期号: 5
作者:
Meng WJ(孟伟杰)
;
Xu FY(许方宇)
;
Jin ZY(金振宇)
  |  
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2024/05/20
instrumentation: detectors
instrumentation: high angular resolution
Sun: chromosphere
Sun: infrared
Resolved magnetohydrodynamic wave lensing in the solar corona
期刊论文
OAI收割
NATURE COMMUNICATIONS, 2024, 卷号: 15, 期号: 1
作者:
Zhou, Xinping
;
Shen YD(申远灯)
;
Yuan, Ding
;
Keppens, Rony
;
Zhao, Xiaozhou
  |  
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2024/05/27
VLBI astrometry of radio stars to link radio and optical celestial reference frames: Observing strategies
期刊论文
OAI收割
Monthly Notices of the Royal Astronomical Society, 2024, 卷号: 529, 期号: 3, 页码: 2062-2070
作者:
Zhang, Jingdong
;
Zhang, Bo
;
Xu, Shuangjing
;
Liu, Niu
;
Chen W(陈文)
  |  
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2024/04/01
instrumentation: interferometers
methods: data analysis
astrometry
proper motions
reference systems
Lossless Compression Method for the Magnetic and Helioseismic Imager (MHI) Payload
期刊论文
OAI收割
RESEARCH IN ASTRONOMY AND ASTROPHYSICS, 2024, 卷号: 24, 期号: 4
作者:
Tong, Li-Yue
;
Lin, Jia-Ben
;
Deng, Yuan-Yong
;
Ji KF(季凯帆)
;
Hou, Jun-Feng
  |  
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2024/04/22
methods: data analysis
techniques: image processing
Sun: magnetic fields
Sun: photosphere
Metabolomics revealed more deleterious toxicity induced by the combined exposure of ammonia and nitrite on
Ruditapes
philippinarum
compared to single exposure
期刊论文
OAI收割
MARINE ENVIRONMENTAL RESEARCH, 2024, 卷号: 196, 页码: 11
作者:
Cong, Ming
;
Li, Zhaoshun
;
Che, Yu
;
Li, Yuanmei
;
Tian, Wenwen
  |  
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2024/05/23
Ammonia
Nitrite
Ruditapes philippinarum
Toxicity
Metabolomics
Increase in Agricultural-Derived NH
x
and Decrease in Coal Combustion-Derived NO
x
Result in Atmospheric Particulate N-NH
4
+
Surpassing N-NO
3
-
in the South China Sea
期刊论文
OAI收割
ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2024, 卷号: 58, 期号: 15, 页码: 6682-6692
作者:
Zhang, Zheng-En
;
Li, Jun
;
Zhang, Ruijie
;
Tian, Chongguo
;
Sun, Zeyu
  |  
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2024/05/07
oceanic nitrogen deposition
marine aerosol
nitrogen/oxygen isotope
sourceapportionment
south China sea
Temporal Scaling Characteristics of Sub-Daily Precipitation in Qinghai-Tibet Plateau
期刊论文
OAI收割
EARTHS FUTURE, 2024, 卷号: 12, 期号: 3, 页码: e2024EF004417
作者:
Ren, Zhihui
;
Sang, Yan-Fang
;
Cui, Peng
;
Chen, Deliang
;
Zhang, Yichi
  |  
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2024/04/08
sub-daily precipitation
databases
temporal scale
natural disasters
Qinghai-Tibet Plateau
high mountain regions
Modeling transpiration using solar-induced chlorophyll fluorescence and photochemical reflectance index synergistically in a closed-canopy winter wheat ecosystem
期刊论文
OAI收割
REMOTE SENSING OF ENVIRONMENT, 2024, 卷号: 302, 页码: 20
作者:
Zheng, Chen
;
Wang, Shaoqiang
;
Chen, Jing M.
;
Xiao, Jingfeng
;
Chen, Jinghua
  |  
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2024/03/04
Transpiration
Photochemical reflectance index
Sun-induced chlorophyll fluorescence
Non-photochemical quenching
Hybrid model
SCOPE model
Learning transferable cross-modality representations for few-shot hyperspectral and LiDAR collaborative classification
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2024, 卷号: 126, 页码: 11
作者:
Dai, Mofan
;
Xing, Shuai
;
Xu, Qing
;
Wang, Hanyun
;
Li, Pengcheng
  |  
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2024/02/26
Multimodal remote sensing data
Meta-learning
Few-shot learning
Cross-modality feature learning