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8条,第1-8条 帮助

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Combining kernel-driven and fusion-based methods to generate daily high-spatial-resolution land surface temperatures 期刊论文  OAI收割
REMOTE SENSING OF ENVIRONMENT, 2019, 卷号: 224, 页码: 259-274
作者:  
Xia, Haiping;  Chen, Yunhao;  Li, Ying;  Quan, Jinling
  |  收藏  |  浏览/下载:67/0  |  提交时间:2019/05/22
Disaggregation of remotely sensed land surface temperature: A simple yet flexible index (SIFI) to assess method performances 期刊论文  OAI收割
REMOTE SENSING OF ENVIRONMENT, 2017, 卷号: 200, 页码: 206-219
作者:  
Gao, Lun;  Zhan, Wenfeng;  Huang, Fan;  Zhu, Xiaolin;  Zhou, Ji
  |  收藏  |  浏览/下载:41/0  |  提交时间:2019/09/25
Localization or Globalization? Determination of the Optimal Regression Window for Disaggregation of Land Surface Temperature 期刊论文  OAI收割
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2017, 卷号: 55, 期号: 1, 页码: 477-490
作者:  
Gao, Lun;  Zhan, Wenfeng;  Huang, Fan;  Quan, Jinling;  Lu, Xiaoman
  |  收藏  |  浏览/下载:36/0  |  提交时间:2019/09/26
Disaggregation of remotely sensed land surface temperature: A new dynamic methodology SCI/SSCI论文  OAI收割
2016
作者:  
Zhan W.;  Huang, F.;  Quan, J. L.;  Zhu, X. L.;  Gao, L.
收藏  |  浏览/下载:39/0  |  提交时间:2016/12/16
Estimating High-Resolution Urban Surface Temperature Using a Hyperspectral Thermal Mixing (HTM) Approach SCI/SSCI论文  OAI收割
2016
作者:  
Liu K.;  Su, H. B.;  Li, X. K.
  |  收藏  |  浏览/下载:29/0  |  提交时间:2017/11/09
Estimating High-Resolution Urban Surface Temperature Using a Hyperspectral Thermal Mixing (HTM) Approach SCI/SSCI论文  OAI收割
2016
作者:  
Liu K.;  Su, H. B.;  Li, X. K.;  Wang, X.
收藏  |  浏览/下载:33/0  |  提交时间:2016/12/16
Impact of the Spatial Domain Size on the Performance of the T-s-VI Triangle Method in Terrestrial Evapotranspiration Estimation SCI/SSCI论文  OAI收割
2013
作者:  
Tian J.
收藏  |  浏览/下载:27/0  |  提交时间:2014/12/24
A TIME-SERIES METHOD FOR SPATIAL DISAGGREGATION OF RADIOMETER BRIGHTNESS TEMPERATURE USING HIGHER RESOLUTION RADAR OBSERVATIONS 会议论文  OAI收割
2012 Ieee International Geoscience and Remote Sensing Symposium, New York
Liu, Chenzhou; Shi, Jiancheng; Zhang, Shenglei; Gao, Shuai
收藏  |  浏览/下载:20/0  |  提交时间:2014/12/07