Abstract
Although there are some applications and application programming interfaces (APIs) to handle satellite laser altimetry data, there is a lack of tools that allow to access, visualize, and explore adequately the very large amount of raw data collected by NASA’s ICESat and ICESat-2 satellite missions on the basis of the data gathering location. In addition, processing and analyzing satellite altimetry data generally demands the use of additional software, that generally does not automatically talk to each other, and requires additional steps such as data filtering, exporting, and conversion. In view of this, this paper presents an overview of the existing software tools for the processing, analysis, and visualization of satellite laser altimetry data, and a comparative discussion of their features and characteristics. Emphasis is placed on the two main computer tools available, namely the OpenAltimetry online tool and ICEComb, a more recent and comprehensive software tool developed by the authors specifically for further processing and examination of satellite laser altimetry data.
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Acknowledgements
This work was partially supported by the Portuguese Foundation for Science and Technology (FCT) through the Laboratory for Robotics and Engineering Systems (LARSyS)—UID/EEA/2020–2023.
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Silva, B., Lopes, L.G., Campos, P. (2023). Software Tools for Satellite Laser Altimetry Data Processing, Analysis, and Visualization: An Overview and Assessment. In: Kumar, S., Hiranwal, S., Purohit, S.D., Prasad, M. (eds) Proceedings of International Conference on Communication and Computational Technologies . Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-19-3951-8_65
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