中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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浏览/检索结果: 共38条,第1-10条 帮助

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Assessment of Satellite-Derived FAPAR Products With Different Spatial Resolutions for Gross Primary Productivity Estimation 期刊论文  OAI收割
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2025, 卷号: 18, 页码: 3087-3098
作者:  
Zhang, Xiyu;  Jin, Huaan;  Zhao, Wei;  Yin, Gaofei;  Xie, Xinyao
  |  收藏  |  浏览/下载:17/0  |  提交时间:2025/02/21
A Mapping Approach for Eucalyptus Plantations Canopy and Single Tree Using High-Resolution Satellite Images in Liuzhou, China 期刊论文  OAI收割
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023, 卷号: 61, 页码: 13
作者:  
Zhang, Sen;  Cui, Yaoping;  Zhou, Yan;  Dong, Junwu;  Li, Wanlong
  |  收藏  |  浏览/下载:39/0  |  提交时间:2024/04/01
Mapping Fire Severity in Southwest China Using the Combination of Sentinel 2 and GF Series Satellite Images 期刊论文  OAI收割
SENSORS, 2023, 卷号: 23, 期号: 5, 页码: 2492
作者:  
Zhang, Xiyu;  Fan, Jianrong;  Zhou, Jun;  Gui, Linhua;  Bi, Yongqing
  |  收藏  |  浏览/下载:7/0  |  提交时间:2024/05/23
Monitoring tree-crown scale autumn leaf phenology in a temperate forest with an integration of PlanetScope and drone remote sensing observations 期刊论文  OAI收割
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2021, 卷号: 171, 页码: 36-48
作者:  
Wu, Shengbiao;  Wang, Jing;  Yan, Zhengbing;  Song, Guangqin;  Chen, Yang
  |  收藏  |  浏览/下载:19/0  |  提交时间:2023/02/24
A Robust Deep Learning Approach for Spatiotemporal Estimation of Satellite AOD and PM2.5 期刊论文  OAI收割
REMOTE SENSING, 2020, 卷号: 12, 期号: 2, 页码: 27
作者:  
Li, Lianfa
  |  收藏  |  浏览/下载:27/0  |  提交时间:2020/05/19
A Robust Deep Learning Approach for Spatiotemporal Estimation of Satellite AOD and PM2.5 期刊论文  OAI收割
REMOTE SENSING, 2020, 卷号: 12, 期号: 2, 页码: 27
作者:  
Li, Lianfa
  |  收藏  |  浏览/下载:16/0  |  提交时间:2020/05/19
Influence of adjacency effect on high-spatial-resolution thermal infrared imagery: Implication for radiative transfer simulation and land surface temperature retrieval 期刊论文  OAI收割
Remote Sensing of Environment, 2020, 卷号: 245, 页码: 111852
作者:  
Duan, Si-Bo;  Li, Zhao-Liang;  Gao, Caixia;  Zhao, Wei;  Wu, Hua
  |  收藏  |  浏览/下载:33/0  |  提交时间:2020/06/12
Introducing a special collection of papers in the Journal of High Energy Astrophysics on the Early Results of China's 1st X-ray Astronomy Satellite: Insight-HXMT 期刊论文  OAI收割
Journal of High Energy Astrophysics, 2020, 卷号: 27, 页码: 51-52
作者:  
HXMT
  |  收藏  |  浏览/下载:51/0  |  提交时间:2022/02/08
Astrophysics - High Energy Astrophysical Phenomena  Abstract: Insight-HXMT is the first Chinese X-ray astronomical mission, launched successfully on June 15, 2017, from China's Jiuquan Satellite Launch Center. Insight-HXMT was designed to have a broad energy coverage in X-rays, from 1-250 keV, with excellent timing and adequate energy resolution at soft X-rays, and the largest effective area at hard X-rays. This allows, in particular, to observe bright sources like X-ray binaries (XRBs) in their bright/outburst states with high cadence and high statistics at hard and soft X-rays at once. It was then expected that the Insight-HXMT mission will bring us new insights regarding the characteristics of several source classes. Examples include characterizing High-Mass X-ray Binaries (HMXBs) and the outburst evolution of Low-Mass X-ray Binaries (LMXBs). For instance, in HMXB systems, the region around their Alfven radius that is responsible to determine whether accretion or propeller occurs, or the region around the NS magnetic pole where the intense X-rays are supposed to be produced are specially appealing targets of study. For the LMXBs, the evolution the outburst and the properties of the compact objects themselves are obvious priority targets for Insight-HXMT. Due to the broad coverage in energy, Insight-HXMT is specially well suited to study the influence of thermonuclear (type-I) X-ray bursts upon the surrounding environment.  
Coherent Lagrangian swirls among submesoscale motions 期刊论文  OAI收割
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2019, 卷号: 116, 期号: 37, 页码: 18251-18256
作者:  
Beron-Vera, F. J.;  Hadjighasem, A.;  Xia, Q.;  Olascoaga, M. J.;  Haller, G.
  |  收藏  |  浏览/下载:62/0  |  提交时间:2020/01/03
Mapping Mangrove Forests Based on Multi-Tidal High-Resolution Satellite Imagery 期刊论文  OAI收割
REMOTE SENSING, 2018, 卷号: 10, 期号: 9, 页码: 20
作者:  
Xia, Qing;  Qin, Cheng-Zhi;  Li, He;  Huang, Chong;  Su, Fen-Zhen
  |  收藏  |  浏览/下载:35/0  |  提交时间:2019/05/23