[特邀报告]Uncertainties and Challenges in Daily Nighttime Light Time Series Data

Uncertainties and Challenges in Daily Nighttime Light Time Series Data
编号:2182 稿件编号:2467 访问权限:仅限参会人 更新:2024-04-12 10:08:19 浏览:436次 特邀报告

报告开始:2024年05月18日 13:20 (Asia/Shanghai)

报告时间:15min

所在会议:[S7] 主题7、遥感与地理信息科学 » [S7-2] 主题7、遥感与地理信息科学 专题7.17、专题7.19(18日下午,303)

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摘要
Nighttime light (NTL) remote sensing data offer unique capabilities to characterize both the extent and intensity of human activities and have been extensively used to understand urbanization. The recent proliferation of daily NTL time series data products provides new opportunities to unveil temporal change patterns of human activities and urbanization process at a finer temporal scale,compared with the traditional yearly and monthly composite NTL data. However, the high temporal variation and intertwined uncertainties of daily NTL time series data have formed formidable challenges. In this talk, I will share my analysis and perspectives on the key uncertainties and challenges in daily NTL time series data and their impacts on NTL-based urban applications.
关键字
nighttime light data
报告人
郑启明
The Hong Kong Polytechnic University

稿件作者
郑启明 The Hong Kong Polytechnic University
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