author: - affiliation: University of Brasília / Takwara Nucleus name: Takwara, Fabio Resck orcid: 0000-0001-8815-3885 date: '2026-03-04' H.5281/zenodo.18827106 H.5281/zenodo.18827106 keywords: - geospatial monitoring - biomass - bamboo - Guadua - MRV - GEDI - Sentinel-2 - GBIF - Amazon language: en license: CC BY 4.0 series: Regenerative Amazon Platform Technical Series — Research & Development subtitle: Technical Architecture for Biomass Inventory and Real-Time MRV title: 'Technical Note: Automated Geospatial Monitoring System (AGMS/SMGA)' translations: en: TAK_nota-tecnica-smga_en.md pt: TAK_nota-tecnica-smga.md es: TAK_nota-tecnica-smga_es.md type: Technical-Scientific Bulletin version: '2.1'
Technical Note: Automated Geospatial Monitoring System (AGMS/SMGA)
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1. Overview and Rationale
The Automated Geospatial Monitoring System (AGMS/SMGA) is the data backbone of the Regenerative Amazon Platform. It addresses the historical gap in independent forest inventories for native bamboo (Guadua spp.), providing auditable metrics for carbon certification (VERRA VM0044) and regeneration monitoring on a regional scale.
2. Technical Architecture (3 Layers)
Layer 1: Taxonomic Occurrences (Big Data)
Mapping of historical and current georeferenced records via REST API: - GBIF & speciesLink: Automated collection of herbarium data and field observations. - iNaturalist: Community validation with photographic evidence.
Layer 2: Historical Series and Remote Sensing
Extraction of vegetation indices and biomass since 1985: - Sentinel-2 & Landsat: NDVI/NBR for forest health and detection of synchronized flowering. - GEDI (NASA/ISS): Spaceborne LiDAR for direct canopy height and aboveground biomass estimation.
Layer 3: Governance and Transparency (Blockchain-ready)
Integration of data into a GitHub repository with auditable hashes, generating automatic MkDocs portals for public consultation.
3. Immediate Demonstrative Implementation (Roadmap)
| Phase | Action | Deadline | Expected Result |
|---|---|---|---|
| 01 | Repository Setup and Python Scripts | Immediate | GBIF integration operational |
| 02 | AOI Extraction (Acre/Southwestern Amazon) | +48h | Guadua spp. density map |
| 04 | Automated MRV Report Generation | +96h | Auditable PDF for the Amazon Fund |
APA: Takwara, F. R. (2026). Technical Note: Automated Geospatial Monitoring System (AGMS/SMGA) (Version 2.1). Technical-Scientific Bulletin — Takwara Nucleus / University of Brasília. https://doi.org/10.5281/zenodo.18827106
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