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dc.contributor.advisorTøssebro, Erlend
dc.contributor.authorRexhaj, Ardijan
dc.date.accessioned2023-07-01T15:51:45Z
dc.date.available2023-07-01T15:51:45Z
dc.date.issued2023
dc.identifierno.uis:inspera:130505068:46706579
dc.identifier.urihttps://hdl.handle.net/11250/3075076
dc.description.abstract
dc.description.abstractA fast light pollution map generation software package has been developed, written entirely in Rust, to compute and deliver up-to-date light pollution maps as and when required. The project aims to be open source and avail- able to the public as a fast and accurate light pollution model. Although the project has not yet reached the intended level of accuracy at the time of writing, it has established a solid foundation. The project makes use of NASA’s black marble VNP46A2 BRDF Corrected nighttime lights product [1]. To facilitate this, VNP46A2 tiles are fetched concurrently through the LAADS DAAC API, converted to the GeoTIFF format, and merged to form a more extensive GeoTIFF that spans the entire globe. While the project currently operates with tiles, transitioning to use the larger GeoTIFF isn’t anticipated to pose a significant challenge. After the download and conversion to GeoTIFF, R.H Garstang’s light pol- lution model is applied on each radiant pixel in the tile. Upon completion, a gradient is applied, resulting in the creation of a PNG image. This image effectively demonstrates the application of the light pollution model.
dc.languageeng
dc.publisheruis
dc.titleAutomating and deploying fast light pollution mapping software using VIIRS DNB satellite data and the rust programming language
dc.typeBachelor thesis


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