Near-real time automation system of day/night band composites based on NOAA JPSS satellite data for Indonesia region.

Day/Night Band (DNB) is one of products provided by National Oceanic and Atmospheric Administration (NOAA) Joint Polar Satellite System (JPSS) series satellite data. It comes from Visible Infrared Imaging Radiometer Suite (VIIRS) sensor that measure visible and near-infrared light quantitatively. Nighttime monitoring from DNB contains information based on low-light visible source emitted by earth surface. By utilizing that source, DNB imagery shows earth condition in nighttime despite its limitation. In this paper, DNB imagery is automatically generated in near-real time to be discussed about its potential and information they carried. The automation system to generate DNB products is proposed by using open-source software called Community Satellite Processing Package (CSPP) Polar2Grid Version 2.3. CSPP Polar2Grid works as main processing system. VIIRS SDR (Sensor Data Records) data is required for the input with.h5 file format. The output of DNB imagery will be in GEOTIFF (.tiff) file format. The whole automation system consists of some modules to look for the newest data available, process it and save it in the storage. Dynamic DNB shows better visualization of the night light than the other type of DNB. Visible night displayed in dynamic DNB imagery clearly shows the existence of activities using light and electricity during nighttime. It could be the street lighting, residential, industry, ship lighting and etc. Future research such as power consumption, fisheries activity or even socio-economy could possibly be equipped by DNB imagery as complementary data. [ABSTRACT FROM AUTHOR]