A meta verse of point cloud data of observation astronomy.

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.
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,
In this paper we propose two such observational schedules using naked eye observation, drone imaging and observation on various telescopes in the Indian subcontinent.
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.
Keywords: VSLAM, Point Cloud, Photometry, Metaverse, 3D Point Cloud, IPFS, FileCoin, Azure, Supernovae, NFT, drone, mobile.