4.5 Article

EODIE-Earth Observation Data Information Extractor

期刊

SOFTWAREX
卷 23, 期 -, 页码 -

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ELSEVIER
DOI: 10.1016/j.softx.2023.101421

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Remote sensing; Big data processing; Earth observation; Open-source software

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This article introduces a toolkit called EODIE that extracts object-level time-series information from multiple multispectral satellite remote sensing platforms and produces analysis-ready products for subsequent data analysis.
Remote sensing satellites provide a vast amount of data to monitor and observe Earth's surface and events on it. To use these data efficiently in subsequent analysis and decision-making, highly automated easy-to-use tools are needed. Here, we present Earth Observation Data Information Extractor (EODIE). EODIE is a toolkit to extract object-level time-series information from several multispectral satellite remote sensing platforms and to produce analysis-ready products for subsequent data analysis. EODIE has a modular design that makes it adjustable for end-user requirements. Users have a possibility to exchange and add modules in EODIE for flexible processing in different computing environments. With EODIE, remote sensing data can be processed to object level array, geotiff or statistics information of different (vegetation) indices or plain wavelength intervals. & COPY; 2023 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

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