A map of Mexico in 100,000 million pixels - generation of a national mosaic with RapidEye images

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Florian Hruby
https://orcid.org/0000-0003-2531-1764
Margarita Ascención Merino
Rainer Ressl
https://orcid.org/0000-0002-1317-6916

Abstract

The present paper presents a workflow for the generation of a 5m spatial resolution, completely seamless and cloud-free mosaic of Mexico. After a brief discussion of the challenges of imagery-based mosaicking in general terms, we will detail the methodology applied to complete this project. Main steps include the pre-selection of suitable imagery (from an archive of 50,000 RapidEye images, captured over Mexico, between 2011 and 2014), histogram and seamline optimization and image blending of 4,500 scenes to create a country-wide satellite map. Considered a distinctive feature of our workflow, emphasis is also placed on tasks at the post-processing level, including cloud elimination and exposure correction. Information on operational availability of the final mosaic is provided. Finally, the application spectrum of a 100,000 million pixel satellite mosaic of Mexico is discussed.

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How to Cite
Hruby, F., Ascención Merino, M., & Ressl, R. (2020). A map of Mexico in 100,000 million pixels - generation of a national mosaic with RapidEye images. Terra Digitalis, 4(1), 1–7. https://doi.org/10.22201/igg.25940694.2020.1.67
Section
Articles with maps