利用时间序列模型拟合方法，针对稀疏和不规则观测数据合成中国沿海地区的大地遥感卫星图像

IF 6 2区地球科学 Q1 GEOGRAPHY, PHYSICAL

GIScience & Remote Sensing Pub Date : 2024-10-26 DOI:10.1080/15481603.2024.2421574

Chao Sun, Jialin Li, Yongchao Liu, Tingting Pan, Ke Shi, Xinyao Cai

引用次数: 0

摘要

悠久的历史记录和免费获取使大地遥感卫星数据成为时间序列分析的重要依据。然而，由于缺乏足够的时间序列数据，Landsat 时间序列分析在沿海地区受到限制。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Synthesizing Landsat images using time series model-fitting methods for China’s coastal areas against sparse and irregular observations

Long historical records and free accessibility have made Landsat data valuable for time-series analysis. However, Landsat time-series analysis is restricted for coastal areas due to the lack of suf...

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来源期刊

GIScience & Remote Sensing 地学-遥感

CiteScore

11.20

自引率

9.00%

发文量

审稿时长

6 months

期刊介绍： GIScience & Remote Sensing publishes original, peer-reviewed articles associated with geographic information systems (GIS), remote sensing of the environment (including digital image processing), geocomputation, spatial data mining, and geographic environmental modelling. Papers reflecting both basic and applied research are published.