Repositório Institucional da UFMG
metadata only
Apoio das tecnologias LIDAR e VANT ao mapeamento de áreas de risco: estudo de caso da Vila Feliz na Regional Vargem das Flores (Contagem/MG)
This study presents the results of geological risk mapping in the Vargem das Flores region of Contagem (MG), Brazil, using remote sensing technologies such as airborne LiDAR and drone-based imagery. The research is part of the Municipal Risk Reduction Plan (PMRR) and follows methodological guideline
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Tecnologias LiDAR e VANT no apoio ao mapeamento de áreas de risco: estudo de caso na Rua Anchieta e Rua São Miguel (Contagem/MG)#1481320
- Evaluación de la erosión hídrica en la subcuenca del río Caplina utilizando el modelo U.S.L.E. mediante el Sistema de Información Geográfico, Tacna - 2023#1041278
- Predicting favourable areas for landsliding through GIS modelling in Aparados da Serra (Brazil)#1219977
- Refinamiento y validación de alertas de deforestación en la región Orinoquía mediante análisis geoespacial multitemporal en el marco del proyecto MapBiomas Colombia#389744
- Zonas prioritarias para la conectividad de un grupo focal de aves entre dos áreas protegidas de los Andes Centrales de Colombia: PNN Selva de Florencia y DMI Laguna de San Diego#477345
Record · ID 1494363
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive