Automatic True Color Composites Generation Based on NOAA JPSS Satellites Data

Karunika Diwyacitta,Budhi Gustiandi,Andy Indradjad

doi:10.1007/978-981-19-0308-3_51

Karunika Diwyacitta, Budhi Gustiandi + Show 1 more

https://doi.org/10.1007/978-981-19-0308-3_51

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Publication Date: Jan 1, 2022

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AbstractTrue color composites is an image that shows natural color combinations as seen by human eyes. In satellite data context, true color composites is generated by combining the visible red, green and blue bands to associated red, green, and blue channels of a computer display. True colors products are mostly preferable for many people since they can quickly tell the information contained in it. Vegetation, waters, grounds, and lands are widely used information that can be obtained from true colors images. This paper proposes an automation system to generate true colors products from National Oceanic and Atmospheric Administration (NOAA) Joint Polar Satellite System (JPSS) series satellite data. The automation system uses an open-source module named Community Satellite Processing Package (CSPP) Po-lar2Grid Version 2.3 as its main processing system. Inputs needed for this system are VIIRS SDR band-I, band-I terrain corrected geolocation, and band-M in HDF5 format. The outputs generated from this system are reprojected true color images in GeoTIFF format. There are five types of modules inside the automated system. Those are searching, comparing, checking, processing, and storing modules. The system was installed in a server computer in the BRIN Remote Sensing Data Center. Monitoring activities had been done for a whole month, and no failure was found once the input data were available. During the monitoring activities, 109 data were carried out to analyze the correlation between processing time and the size of processed input data files. Bigger size input data files need a longer processing time to create a true color product. The proposed system has been proven to operate successfully and has been included in operational activities in BRIN remote sensing processing facilities. The products have been utilized as base maps in the current web-based low-resolution products dissemination system. KeywordsAutomationTrue colorVIIRS

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