机构

• 地理科学与资源研究... [15]
• 计算技术研究所 [1]
• 遥感与数字地球研究所 [1]

采集方式

• OAI收割 [17]

内容类型

• 期刊论文 [14]
• EI期刊论文 [2]
• SCI/SSCI论文 [1]

发表日期

• 2023 [2]
• 2021 [1]
• 2020 [2]
• 2018 [3]
• 2017 [4]
• 2016 [1]
• 更多

学科主题

筛选

浏览/检索结果: 共17条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序发表日期升序发表日期降序题名升序题名降序作者升序作者降序 Analysis of Long Time Series of Summer Surface Urban Heat Island under the Missing-Filled Satellite Data Scenario 期刊论文  OAI收割 SENSORS, 2023, 卷号: 23, 期号: 22, 页码: 25 作者:  Luo, Jiamin;  Yao, Yuan;  Yin, Qiuyan   |  收藏  |  浏览/下载：5/0  |  提交时间：2024/01/02 surface urban heat island  land surface temperature  spatiotemporal fusion  spatial downscaling   A Robust Framework for Resolution Enhancement of Land Surface Temperature by Combining Spatial Downscaling and Spatiotemporal Fusion Methods 期刊论文  OAI收割 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023, 卷号: 61, 页码: 4404514 作者:  Li, Yitao;  Wu, Hua;  Chen, Hong;  Zhu, Xinming   |  收藏  |  浏览/下载：7/0  |  提交时间：2023/09/07 Land surface temperature (LST)  resolution enhancement  spatial downscaling  spatiotemporal fusion  ther-mal infrared   Geographic Optimal Transport for Heterogeneous Data: Fusing Remote Sensing and Social Media 期刊论文  OAI收割 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2021, 卷号: 59, 期号: 8, 页码: 6935-6945 作者:  Liu, Zhenjie;  Qiu, Qiang;  Li, Jun;  Wang, Lizhe;  Plaza, Antonio   |  收藏  |  浏览/下载：26/0  |  提交时间：2021/12/01 Remote sensing  Geology  Social networking (online)  Earth  Artificial satellites  Satellites  Indexes  Data fusion  geolocation alignment  remote sensing  representation alignment  social media   Improving phenological monitoring of winter wheat by considering sensor spectral response in spatiotemporal image fusion 期刊论文  OAI收割 PHYSICS AND CHEMISTRY OF THE EARTH, 2020, 卷号: 116, 页码: 11 作者:  Cao, Ziyang;  Chen, Shaohui;  Gao, Feng;  Li, Xueke   |  收藏  |  浏览/下载：18/0  |  提交时间：2021/03/23 Spatiotemporal satellite image fusion  Sensor spectral response  System difference  TOA reflectance Prediction  Phenological monitoring of winter wheat   Improving phenological monitoring of winter wheat by considering sensor spectral response in spatiotemporal image fusion 期刊论文  OAI收割 PHYSICS AND CHEMISTRY OF THE EARTH, 2020, 卷号: 116, 页码: 11 作者:  Cao, Ziyang;  Chen, Shaohui;  Gao, Feng;  Li, Xueke   |  收藏  |  浏览/下载：6/0  |  提交时间：2021/03/23 Spatiotemporal satellite image fusion  Sensor spectral response  System difference  TOA reflectance Prediction  Phenological monitoring of winter wheat   An integrated model for generating hourly Landsat-like land surface temperatures over heterogeneous landscapes 期刊论文  OAI收割 REMOTE SENSING OF ENVIRONMENT, 2018, 卷号: 206, 页码: 403-423 作者:  Quan, Jinling;  Zhan, Wenfeng;  Ma, Ting;  Du, Yunyan;  Guo, Zheng   |  收藏  |  浏览/下载：35/0  |  提交时间：2019/05/30 Data fusion  Land surface temperature  Landsat  MODIS  Geostationary satellite  Heterogeneity   An integrated model for generating hourly Landsat-like land surface temperatures over heterogeneous landscapes 期刊论文  OAI收割 REMOTE SENSING OF ENVIRONMENT, 2018, 卷号: 206, 页码: 403-423 作者:  Quan, Jinling;  Zhan, Wenfeng;  Ma, Ting;  Du, Yunyan;  Guo, Zheng   |  收藏  |  浏览/下载：12/0  |  提交时间：2019/05/30 Data fusion  Land surface temperature  Landsat  MODIS  Geostationary satellite  Heterogeneity   An integrated model for generating hourly Landsat-like land surface temperatures over heterogeneous landscapes 期刊论文  OAI收割 REMOTE SENSING OF ENVIRONMENT, 2018, 卷号: 206, 页码: 403-423 作者:  Quan, Jinling   |  收藏  |  浏览/下载：10/0  |  提交时间：2019/05/30 Data fusion  Land surface temperature  Landsat  MODIS  Geostationary satellite  Heterogeneity   Forest Types Classification Based on Multi-Source Data Fusion 期刊论文  OAI收割 REMOTE SENSING, 2017, 卷号: 9, 期号: 11, 页码: 22 作者:  Lu, Ming   |  收藏  |  浏览/下载：137/0  |  提交时间：2019/05/30 data fusion  forest types  classification   Forest Types Classification Based on Multi-Source Data Fusion 期刊论文  OAI收割 REMOTE SENSING, 2017, 卷号: 9, 期号: 11, 页码: 22 作者:  Lu, Ming;  Chen, Bin;  Liao, Xiaohan;  Yue, Tianxiang;  Yue, Huanyin   |  收藏  |  浏览/下载：9/0  |  提交时间：2019/05/30 data fusion  forest types  classification