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Towards Open Source Remote Sensing Software – A Survey

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Geo-Informatics in Resource Management and Sustainable Ecosystem

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 398))

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Abstract

Remote sensing is one of the best ways for earth observation and environment monitoring due to its spatial and temporal capability for long term and large scale regions. Typical remote sensing software consists of modules including image preprocessing, pixel manipulation, complicated calculation and transformation, interactions with other GIS/RS software, etc. Currently, open source remote sensing is emerging as a promising solution for commercial, governmental, and scientific applications. In this paper we review the state of some open source remote sensing software and make a comprehensive comparison on their general functionalities.

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Author information

Authors and Affiliations

  1. Department of Water Resources, Zhejiang Tongji Vocational College of Science and Technology, Hangzhou, 311231, China

    Yinghui Zhao

  2. School of Earth Sciences and Engineering, Hohai University, Nanjing, 210098, China

    Yinghui Zhao

Authors
  1. Yinghui Zhao
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Editor information

Editors and Affiliations

  1. Wuhan University, No. 37, Luoyu Road, 430079, Wuhan, Hubei, China

    Fuling Bian

  2. Institute for Geospatial Research and Education, Michigan University, 125 King Hall, 48197, Ypsilanti, MI, USA

    Yichun Xie

  3. Wuhan University, No 37 Luoyu Road, 430079, Wuhan, Hubei, China

    Xiaohui Cui  & Yixin Zeng  & 

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Zhao, Y. (2013). Towards Open Source Remote Sensing Software – A Survey. In: Bian, F., Xie, Y., Cui, X., Zeng, Y. (eds) Geo-Informatics in Resource Management and Sustainable Ecosystem. Communications in Computer and Information Science, vol 398. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45025-9_34

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  • DOI: https://doi.org/10.1007/978-3-642-45025-9_34

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-45024-2

  • Online ISBN: 978-3-642-45025-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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