An operational split-window algorithm for retrieving land surface temperature from FengYun-4A AGRI data

IF 1.4 4区地球科学 Q3 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY

Remote Sensing Letters Pub Date : 2023-11-16 DOI:10.1080/2150704x.2023.2282402

Xiangchen Meng, Weihan Liu, Jie Cheng, Hao Guo

引用次数: 0

Abstract

The National Oceanic and Atmospheric Administration (NOAA) Joint Polar Satellite System (JPSS) Enterprise algorithm with explicit path length correction (named as the adapted enterprise algorithm) ...

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从风云- 4a AGRI数据中提取地表温度的可操作分窗算法

美国国家海洋和大气管理局(NOAA)联合极地卫星系统(JPSS)具有显式路径长度校正的企业算法(称为自适应企业算法)…

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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来源期刊

Remote Sensing Letters REMOTE SENSING-IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY

CiteScore

4.10

自引率

4.30%

发文量

审稿时长

6-12 weeks

期刊介绍： Remote Sensing Letters is a peer-reviewed international journal committed to the rapid publication of articles advancing the science and technology of remote sensing as well as its applications. The journal originates from a successful section, of the same name, contained in the International Journal of Remote Sensing from 1983 –2009. Articles may address any aspect of remote sensing of relevance to the journal’s readership, including – but not limited to – developments in sensor technology, advances in image processing and Earth-orientated applications, whether terrestrial, oceanic or atmospheric. Articles should make a positive impact on the subject by either contributing new and original information or through provision of theoretical, methodological or commentary material that acts to strengthen the subject.