EODIE-Earth Observation Data Information Extractor

被引：1

作者：

Wittke, Samantha ^{[1
,2
]}

Fouilloux, Anne ^{[3
]}

Lehti, Petteri ^{[2
,4
]}

Varho, Juuso ^{[2
,4
]}

Kivimaki, Arttu ^{[2
]}

Karhu, Maiju ^{[2
]}

Karjalainen, Mika ^{[2
]}

Vaaja, Matti ^{[1
]}

Puttonen, Eetu ^{[2
]}

机构：

[1] Aalto Univ, Dept Built Environm, Espoo, Finland

[2] Natl Land Survey Finland, Finnish Geospatial Res Inst, Dept Remote Sensing & Photogrammetry, Helsinki, Finland

[3] Univ Oslo, Dept Geosci, Oslo, Norway

[4] Aalto Univ, Dept Appl Phys, Espoo, Finland

来源：

SOFTWAREX | 2023年 / 23卷

基金：

芬兰科学院;

关键词：

Remote sensing; Big data processing; Earth observation; Open-source software; DIFFERENCE WATER INDEX; VEGETATION INDEX; WORLDVIEW-2; IMAGERY; PHENOLOGY; FOREST; NDWI; LEAF; DERIVATION; PROGRAM; RED;

D O I：

10.1016/j.softx.2023.101421

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

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/).

引用

页数：9

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