> For the complete documentation index, see [llms.txt](https://metamazonia.gitbook.io/metamazonia-whitepaper/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://metamazonia.gitbook.io/metamazonia-whitepaper/metamazonia/digital-twin.md). # Digital Twin ### Virtual worlds created by Zoan and Acidhub To create the digital twin of the reserve, ZOAN replicated the real Amazonian locales with laser scanning and an expert development team, combined with certified data collection from the region, to display information about the Amazon forest like never before.

Jatuarana Village

MetAmazonia is a dynamic metaverse, receiving real-time data from the rainforest and simulating the metaverse according to the changing data. Projects and data collected from EBCF and its partners, events from institutions or artists, and even real locations can be represented in an immersive way using the latest technology in real-time, photoreal, 3D to give access and credibility to the services provided by AmaGroup while also creating engaging experiences that contextualise and enrich the user's perception and knowledge about the Amazon region. Metamazonia's digital twin is developed by a Geodatabase that stores georeferenced data from various sources to create a digital twin of the Amazon Rio reserve. This digital twin will provide a comprehensive representation of the reserve, including data on land use and occupation, biomass stock and related carbon credits, biodiversity, and communities. Data can be collected from various sources such as fauna and flora inventories, IoT devices like weather stations or camera traps, and even manually collected data via geo-enabled devices like smartphones. Using a digital twin interface to manage data enables geospatial and temporal analysis, leading to a better understanding of the impacts of various initiatives performed at the reserve and their correlations with environmental variables. A digital twin also provides real-time updated data, enabling deeper evaluation and delivering on-the-fly analysis to researchers, managers, operational personnel, and even the general public. This allows for greater frequency, intensity, and reliability of interactions with the reserve, while maintaining full traceability and transparency. Below, one may find some examples of actual data visualization of EBCF's sustainable reserves:

Fig. 1 – EBCF's Reserve area and satellite imagery processed data showing changes in land use, red meaning loss of trees. Red areas where detected a 5% deforestation rate over the period of 2010-2020 whilst inside reserve area deforestation rate was 0.2% for the same period.

Fig 2 - Brasil nuts trees collected samples with color and size indicating crown diameter and height.

Fig. 3 – Heatmap of fauna and flora inventory samples, to guide further excursion routes

Fig. 4 – Camera traps buffer areas and locals where animal species were spotted and indication of floodable areas (Igarapés)