Downscaling MODIS NDSI to Sentinel-2 fractional snow cover by random forest regression

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

Remote Sensing Letters Pub Date : 2024-03-13 DOI:10.1080/2150704x.2024.2327084

Andreas Kollert, Andreas Mayr, Stefan Dullinger, Karl Hülber, Dietmar Moser, Stef Lhermitte, Simon Gascoin, Martin Rutzinger

引用次数: 0

Abstract

Imagery acquired by the Moderate-resolution Imaging Spectroradiometer (MODIS) provides a global archive of dailyNormalized Difference Snow Index (NDSI) at 500 m nominal resolution since the year 20...

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通过随机森林回归将 MODIS NDSI 降级为 Sentinel-2 分数雪覆盖率

中分辨率成像分光仪（MODIS）获取的图像提供了自20世纪20年代以来500米标称分辨率的每日归一化差异积雪指数（NDSI）的全球档案。

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.