IMAGE SENSING AND PROCESSING OF BCCSAT-1 SATELLITE MISSIONS USING 4 MULTISPECTRAL CAMERAS
Keywords:
1U cubeSat, multispectral camera, remote sensing, NDVI, NDREAbstract
This paper will discuss the image sensing and processing of the BCCSAT-1. Every CubeSat needs a personalized space mission. In the case of BCCSAT-1, our primary mission is to improve Thailand’s agricultural practices which largely contribute to the GDP and the stability of food supply of the country. Furthermore, this paper will provide a detailed explanation of the payload system which is designed to capture geographical images of the Earth using 4 CMOS cameras with 3 different filters to produce a multispectral image. By extracting each band from the multispectral image and processing it, we can generate an image showing the relative biomass. We are using two standardized vegetation indexes that allow us to estimate the relative biomass: Normalized Difference Vegetation Index (NDVI) and Normalized Difference Red Edge Index (NDRE). NDVI is a standardized vegetation index and often used for many applications. However, NDVI result images are usually oversaturated, as values in dense vegetation area -such as crop fields, rainforests, etc- are too high which makes it difficult to distinguish between healthy and unhealthy plants. As a complement, NDRE provides a higher dynamic range and deeper insight into dense vegetation area. A series of preliminary experiments are conducted using the BCCSAT-1 payload to verify that NDVI and NDRE provide useful insights into crops even in the densest vegetation area of Thailand.
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