In summary, this post discusses working with Satellogic’s publicly available L1 imagery dataset containing 24 individual images covering a specific area in Qatar. Despite sharing similar capture statistics and processing levels (TOA reflectance), these images exhibit significant differences when combined into a mosaic due to potentially independent processing steps. The author suspects the lack of seamless blending may not be an issue for Satellogic’s original purpose but could affect users seeking more visually consistent results. They offer consulting and development services related to such data analysis tasks in North America and Europe through LinkedIn contact.
The dataset contains metadata with information about capture time, platform (newsat16), product name (“L1”), viewing angles, sun positions, as well as the number of images for each combination. The author also provides a grid code representation illustrating individual image locations within the mosaic area. Satellogic offers various imagery deliverables ranging from raw data to orthorectified products with different levels of processing and resolution enhancements.
The analyzed product, L1 (“Radiometric-corrected imagery (TOA reflectance imagery)”), is stated as corrected for sensor, optical, and terrain distortions but might not guarantee seamless blending between adjacent images due to independent processing. The author concludes by inviting potential clients interested in their services related to similar data analysis tasks to reach out via LinkedIn.
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