A meta verse of point cloud data of observation astronomy.

Abstract

A Metaverse as a point cloud for visual photometry is generated from a combination of drone, telescope and mobile images using VSLAM telemetry and photometry technologies, to create a Metaverse with many applications, ranging from public data sets for data mining phenomenological models to navigational uses and dark sky maps.<br> Images are saved as NFTs to generate a Metaverse, and mined to create a point cloud stored on a blockchain web3 and web2 storage systems, commonly called cloud storage as publicly published data sets,<br> In this paper we propose two such observational schedules using naked eye observation, drone imaging and observation on various telescopes in the Indian subcontinent.<br> The first schedule consists of imaging possible exoplanet candidates from the TESS database, and the second schedule of Supernovae candidates based on a filter using a decision tree on the linear sky survey data and published information on Supernovae predictions.<br> Keywords: VSLAM, Point Cloud, Photometry, Metaverse, 3D Point Cloud, IPFS, FileCoin, Azure, Supernovae, NFT, drone, mobile.