Vinicius Capanema — Curriculum Vitae (V08 • Editorial Atlas)

Remote Sensing, Geospatial Processing, Data Engineering and Systems Development

Forest Engineer with an M.Sc. and a Ph.D. in Remote Sensing from INPE, experienced in applied scientific research, climate change, infrastructure, transport logistics, and geospatial systems development. Leads the full lifecycle of geospatial solutions, from science-based conceptual framing and methodological modeling to data architecture, development, deployment, and operation, using open-source technologies and interoperability based on OGC standards.

Applications in production:13 Road segments under monitoring:4,583 Road network under monitoring (km):21,000 Geospatial records processed:1.36M

Summary

Forest Engineer with an M.Sc. and a Ph.D. in Remote Sensing from INPE, experienced in applied scientific research, climate change, infrastructure, transport logistics, and geospatial systems development. Designs, architects, develops, and implements geospatial applications grounded in scientific methodology. Uses an open-source technology stack, OGC-based interoperability, and geospatial data infrastructures. Has developed 13 production web applications, processed 1.36 million geospatial records, and supported road monitoring, territorial intelligence, and climate-risk analysis at scale.

Transforms technical and scientific problems into operational applications for monitoring, analysis, and territorial intelligence. Structures data acquisition, integration, validation, and publication workflows by combining remote sensing, spatial modeling, data engineering, geospatial databases, APIs, back-end systems, and front-end interfaces. Focuses on methodological traceability, analytical performance, and operational delivery for applied research, management, and decision-making.

Core Competencies

▶ Geospatial Strategy & Decision-Making

Decision Support Systems: Structuring geospatial analyses to support infrastructure, logistics, and territorial management decisions, with a focus on prioritization, technical traceability, and operational impact.

Data-Driven Decision-Making: Turning raw data into actionable intelligence for managers by integrating spatial indicators, scenario analysis, and objective recommendations for strategic planning.

ATS Keywords: geospatial intelligence, data-driven decision-making, territorial planning, road infrastructure, public management guided by data.

▶ WebGIS & Production Geospatial Applications

End-to-end delivery: Conception, development, and publication of WebGIS applications for monitoring, routing, citizen reporting, and visualization of territorial indicators in operational environments.

Geospatial Frontend: Building interfaces with interactive maps, thematic layers, filters, search, analytical panels, and user experiences oriented to technical and executive audiences.

ATS Keywords: WebGIS, GIS developer, Leaflet, OpenStreetMap, interactive maps, geospatial products, geospatial UX.

▶ Geospatial Data Engineering & Pipelines

Data engineering applied to territory: Integration of heterogeneous sources such as APIs, tables, geometries, and rasters, with standardization and publication of data for spatial analysis and executive dashboards.

Quality and reliability: Spatial data modeling and governance focused on consistency, traceability, query efficiency, and support for continuous update cycles.

ATS Keywords: geospatial data engineering, ETL/ELT, data pipelines, PostgreSQL/PostGIS, data quality, data reliability, interoperability.

▶ Spatial Analysis, Climate Risk & Resilience

Infrastructure risks: Development of analyses for mass movement, flooding, and fires, integrating observed and predictive data to support operations across the road network.

Territorial resilience: Applying geospatial intelligence to prevention, response prioritization, and planning of adaptive measures in critical scenarios.

ATS Keywords: climate risk monitoring, risk analytics, disaster risk reduction, geospatial risk intelligence, resilience planning.

▶ Multi-Criteria Modeling & Indicators (AHP)

Structured decision-making: Implementation of multi-criteria analysis methods such as AHP/Saaty for technical prioritization, scenario assessment, and transparent criteria construction for stakeholders.

Indicator management: Development of adherence, weight, and consistency models to qualify decisions and expand the analytical maturity of programs and projects.

ATS Keywords: MCDA, AHP, decision modeling, KPI framework, performance indicators, multi-criteria prioritization.

▶ Analytics, BI & Data Storytelling

Insight for action: Building dashboards, metrics, and exploratory readings that transform complex spatial data into executive intelligence for public and private management.

Analytical communication: Presenting results with clarity, objectivity, and alignment across technical teams, managers, and decision-makers.

ATS Keywords: business intelligence, data analytics, dashboarding, KPI, data storytelling, actionable insights.

▶ Cloud Geospatial & Earth Observation

Processing at scale: Use of cloud computing for geospatial analysis and remote sensing, including DEM-derived products and generation of exportable outputs for technical workflows.

Earth Observation integration: Application of Earth observation data to environmental studies, territorial planning, infrastructure support, and continuous monitoring.

ATS Keywords: Google Earth Engine, Earth Observation, remote sensing, cloud geospatial, DEM, GeoTIFF, geospatial cloud.

▶ Architecture, Security & Systems Integration

Integrated ecosystems: Connecting applications, APIs, and modules with access control, support for sensitive operations, and organized environments for institutional use at scale.

Operational reliability: Focus on interoperability, compliance, service continuity, and sustainment of mission-critical platforms.

ATS Keywords: system integration, REST API, RBAC, authentication, compliance, data governance, platform reliability.

Courses & Certifications

Georeferencing & Surveying

3rd Edition of the Technical Standard for Rural Property Georeferencing (NTGIR) and SIGEF — ANOREG-MT
Official TopoEVN 6 Surveying Certification — Metrica
AutoCAD | TOPOEVN — Professional training course
Technical responsibility in land tenure processes — INTERMAT-MT

Geoprocessing & GIS

Orbital data processing in GIS platforms (ENVI, SPRING, QGIS, ArcGIS, TERRAVIEW, GEODA, TerraAmazon)
Geoprocessing | Spatial Analysis | R Programming
Land use and land cover change modeling with Dinamica EGO — UFMG (2018)

Programming & Data Science

Python for Remote Sensing Research — INPE, São José dos Campos
Microsoft Office (Word, Excel, PowerPoint, Internet) — Advanced course

Environment & Licensing

Rural Environmental Registry (CAR) preparation — SEMA-MT
Technical responsibility in environmental processes — SEMA-MT
Phytogeography — UNEMAT (2008)

Management & Business

Business strategy | Customer service
Project planning | Project management

Projects

Satellite-Based Environmental Monitoring (INPE)

2017–2018

Study of Pattern and Process Trajectories in Characterizing Deforestation Dynamics in the Amazon.
Project aimed at supporting the expansion and improvement of satellite-based environmental monitoring and the development of land use and land cover studies in the Amazon region.
Contribution to the implementation of the country's REDD (Reducing Emissions from Deforestation and Forest Degradation) strategy, enabling greater control of deforestation and forest degradation through the strengthening of INPE's monitoring systems.

e-Sensing: Big Earth Observation Data Analytics

Doctoral Research (2018–2022)

Project with the primary objective of conceiving, building, and deploying a new type of knowledge platform for organizing, accessing, processing, and analyzing large-scale Earth observation data.
The knowledge platform enabled scientists to produce information in innovative ways using open-source software, facilitating data sharing and the reproducibility of results.
Focus on improving the extraction of land use and land cover change information using advanced big data analytics and machine learning techniques.

Technologies & Tools

Geoprocessing & Remote Sensing

Desktop GIS: QGIS (graphical modeler, Python plugins, advanced spatial analysis), ArcGIS/ArcGIS Pro (geoprocessing, network analysis, 3D), TerraView, TerraAmazon (forest monitoring), GEODA (exploratory spatial analysis), AutoCAD (CAD-GIS projects), TopoEVN (surveying and georeferencing).

Cloud & Big Data GEO: Google Earth Engine (massive satellite image processing, time series, supervised/unsupervised classification, spectral indices NDVI/EVI/NDWI).

Libraries & CLI: GDAL/OGR (raster/vector conversion and processing via command line and Python), PROJ (coordinate transformations), Rasterio, Fiona, Shapely, GeoPandas.

Programming & Data Analysis

Python: Pandas/GeoPandas (tabular and spatial data manipulation), NumPy/SciPy (scientific computing), Matplotlib/Seaborn (visualization), Scikit-learn (machine learning for image classification), Rasterio/GDAL (raster processing), Shapely/Fiona (vector geometries), PyProj (projections), Requests/BeautifulSoup (web scraping), SQLAlchemy (database ORM).

R: Spatial statistical analysis, satellite image processing (raster, terra, rgdal), visualization (ggplot2), predictive modeling, time series analysis.

JavaScript: Intermediate proficiency in web development, DOM manipulation, REST API integration, visualization libraries (Chart.js, Leaflet.js).

Spatial Databases

PostgreSQL/PostGIS: Spatial data modeling, ST_* functions (ST_Intersects, ST_Buffer, ST_Union, ST_Distance, ST_Within), spatial indexes (GIST, SP-GIST, BRIN), topological analysis, reverse geocoding, spatial query optimization, triggers, and stored procedures.

Best Practices: Schema normalization, geometric constraints and validations, materialized views for complex queries, large table partitioning, backup and restore, replication and high availability.

WebGIS & Service Publishing

Frontend: Leaflet.js (interactive maps, layer control, dynamic filters, custom popups, clustering plugins, heatmaps, drawing tools), OpenLayers (alternative for complex projects).

Map Servers: GeoServer (WMS/WFS/WMTS publishing, SLD styling, GeoWebCache caching, PostGIS integration), QGIS Server (lightweight OGC services), MapServer.

Tiles & Performance: Vector tile generation (MVT), raster tile caching, style optimization, data compression, CDN for global delivery.

APIs & Geospatial Backend

FastAPI: Development of geospatial REST APIs (endpoints for spatial queries, geometry filters, dynamic buffers), JWT authentication, rate limiting, structured logging, Pydantic validation, automatic documentation (Swagger/OpenAPI).

Optimization: Optimized SQL queries with EXPLAIN ANALYZE, materialized views, Redis caching, result pagination, GeoJSON response compression, configured CORS.

Integration: Consumption of external APIs (IBGE, INPE, OpenStreetMap, weather services), webhooks, asynchronous processing with Celery/RQ.

DevOps & Infrastructure

Containers: Docker (image creation, optimized Dockerfile, multi-stage builds), Docker Compose (local orchestration of full stacks: PostGIS + GeoServer + API + Frontend).

Web Servers: Nginx (reverse proxy, load balancing, gzip/brotli compression, HTTP caching, SSL/TLS configuration), Apache (alternative for legacy projects).

Deploy & CI/CD: Git/GitHub (version control, workflows), knowledge of GitHub Actions, deployment on Linux servers (Ubuntu/Debian), basic monitoring with logs.

AI & Applied Machine Learning

AI Tools: Proficiency in modern artificial intelligence tools (ChatGPT, Claude, GitHub Copilot) applied to code generation, data analysis, process automation, technical documentation, and complex problem-solving.

Geospatial ML: Supervised satellite image classification (Random Forest, SVM), change detection, object segmentation, spatial predictive analysis, model validation (confusion matrix, accuracy, Kappa).

Natural Language Processing: Prompt engineering for task optimization, LLM integration in development workflows.

Data Governance & Quality

Metadata & Cataloging: Dataset documentation following ISO 19115/19139 standards, GeoNetwork for cataloging, data lineage tracking (provenance).

Version Control: Git for code and scripts, shapefile/GeoJSON version control, database change history (audit triggers).

Quality: Topological geometry validation, overlap/gap detection, completeness analysis, positional accuracy, reproducible documentation with Jupyter Notebooks/R Markdown.

Office & Productivity

Microsoft Office: Word (complex technical report preparation, ABNT formatting, collaborative reviews), PowerPoint (executive presentations with infographics, maps, and dashboards), Excel (data analysis with pivot tables, advanced formulas, VBA macros, Power Query integration), Outlook (email, calendar, and task management).

Other Tools: Google Workspace (Docs, Sheets, Slides for real-time collaboration), Markdown (technical documentation), LaTeX (scientific documents), Notion/Obsidian (knowledge management).

Education

Ph.D.

Remote Sensing · INPE · 2022

MBA

Project Management · Unopar · 2020

Master's Degree

Remote Sensing · INPE · 2017

Specialization

Georeferencing · F. Vale do Juruena · 2010

Bachelor's Degree

Forest Engineering · UNEMAT · 2009

Professional Experience

▶SEMIL/SP — Data Engineer

July 2025 – Present

Operational portfolio architecture: Designed and developed 13 production web applications, processing 1.36 million geospatial records (2014–2026 Infosiga database, with 92.3% of records geolocated).
Integrated territorial monitoring: Interactive map covering 4,583 state road segments and 1,618 critical climate-risk units (landslides and flooding), with a 96-hour WRF forecast.
Public data pipelines: Real-time integration of 4+ heterogeneous data sources (MERGE/INPE rainfall, PPDC civil defense, RF INPE fire risk, ViaCEP/OSM). Stack: Python (GeoPandas, Rasterio, FastAPI), PostgreSQL/PostGIS, Leaflet, Docker, AI.

▶DER/SP — Interim Environmental Coordinator

Sep 2024 – Jan 2025

Strategic leadership: Coordinated 8 specialists in environmental governance, structuring 5 key directives for SP Carbono Zero.
Impact on decisions: Managed 12 complex environmental studies, underpinning decisions of US$ 200M+ in green public investments.
Optimized processes: Redesigned 18 administrative processes for environmental licensing, reducing approval time by 35% with 2 policy briefs adopted.
Tools: QGIS, Google Earth Engine, PostGIS, MCDA (AHP), Python, generative AI.

▶DER/SP — Forest Engineer & GIS Specialist

Aug 2023 – Sep 2024

Mapping at scale: Mapped 15,000 km of road network via satellite, reducing field work by 60% and saving US$ 2M+.
Geospatial ETL: Pipeline validating 500+ critical inconsistencies with PostGIS, achieving 91% accuracy.
User value: Delivered 60+ thematic layers on corporate portal, serving 180+ internal users (engineers, managers, analysts).
Stack: Python (GeoPandas, Rasterio), QGIS, PostGIS, GeoServer, AI for automation.

▶Stantec — Technical Consultant (Remote — Belgium)

Jan 2024 – Mar 2024

International consulting: Provided remote geospatial engineering services to Stantec in Belgium, demonstrating the ability to work in a European, multidisciplinary context.
Geospatial analysis: Collected, processed, and analyzed remote-sensing data; applied supervised classification and change detection in a European context.
Global collaboration: Worked with international teams, produced documentation in technical English, and delivered reports according to global standards.

▶VEGA Monitoring — Geoprocessing Analyst

Mar 2022 – Aug 2023

Territorial monitoring: Modeled grain yield at national scale (plants vs pixels), applying Google Earth Engine and Sentinel/Landsat time series analysis.
Decision support: Developed geospatial databases of cultivated areas, generating climate risk intelligence for multiple clients in commodity trading.
ESG projects: Developed environmental monitoring solutions with remote sensing; validated thematic accuracy and produced sustainability reports.
R&D: Led search for new technologies (cloud, ML, AI) to optimize pipelines and elevate technical productivity.

▶GeoBrasilis — GIS Specialist Consultant

Sep 2021 – Mar 2022

Multitemporal urban monitoring: Monitored Rodoanel Mário Covas expansion via multitemporal satellite classification (Sentinel-2, Landsat), identifying territorial transformation dynamics.
Accuracy validation: Produced detailed reports including error analysis, confusion matrix, and validation indices (accuracy, Kappa) to ensure mapping reliability.
Applied QGIS, Python (Rasterio/GeoPandas), and advanced spatial analysis for urban monitoring and territorial planning.

▶FUNCATE — Geoprocessing Specialist

May 2017 – Mar 2018

INPE Research: Worked on a strategic satellite-based environmental monitoring project for the Amazon biome, producing remote-sensing analyses to characterize forest degradation in Mato Grosso.
Thematic mapping: Generated multitemporal land use/land cover maps applying supervised classification (Random Forest), landscape pattern analysis, digital image processing (ENVI, TerraAmazon).
Field leadership: Organized field expeditions in the Amazon for ground-truth collection, team training, and methodological validation.
Contributed to scientific publications and to strengthening INPE's operational monitoring in the context of REDD+.

▶Mognos Forest & Civil Engineering — Forest Engineer

2010 – 2015

Territorial planning: Planned 30+ rural enterprises in MT; developed and executed PRAD in permanent preservation areas and legal reserves, meeting compliance for large properties.
Operational leadership: Coordinated multidisciplinary teams for monitoring, environmental licensing, and process optimization; achieved 100% regulatory compliance in executed projects.
Regulatory management: Managed complex administrative processes with INCRA, IBAMA, SEMA-MT; conducted forest inventories in native forests with high methodological precision.
Environmental expertise: Prepared Rural Environmental Registries (CAR), INCRA georeferencing, PMFS/PEF, technical reports, EIA/RIMA per technical standards.
Geospatial analysis: Developed GIS maps (QGIS, ArcGIS, ENVI) for quantification of deforestation, forest fire, and land cover change dynamics.

Publications

Assessing logging legislation parameters and forest growth dissimilarities in the Brazilian Amazon

Forest Ecology and Management, v. 513 · 2022

DO PRADO CAPANEMA, VINICIUS; ESCADA, MARIA ISABEL SOBRAL; ANDRADE, PEDRO R.; LANDINI, LUCAS GUSTAVO. Assessing logging legislation parameters and forest growth dissimilarities in the Brazilian Amazon. Forest Ecology and Management, v. 513, p. 120170, 2022.

DOI: 10.1016/j.foreco.2022.120170
Relationship between non-photosynthetic vegetation, intensity of fire and fire radiative power in the Amazon

RA'E GA (UFPR), v. 52 · 2021

CAPANEMA, VINICIUS; DE SOUZA, GREISON MOREIRA; LEITE SILVA JUNIOR, CELSO HENRIQUE. Relationship between non-photosynthetic vegetation, intensity of fire and fire radiative power in the Amazon. RA'E GA (UFPR), v. 52, p. 3, 2021.

DOI: 10.5380/raega.v51i0.73066
Mapping forest degradation intensity patterns: a case study in the Sinop region, Mato Grosso

RBC. Brazilian Journal of Cartography (Online), v. 70 · 2018

CAPANEMA, VINICIUS; PINHEIRO, TAISE; ESCADA, MARIA ISABEL; SANT'ANNA, SIDNEI. Mapping forest degradation intensity patterns: a case study in the Sinop region, Mato Grosso. RBC. Brazilian Journal of Cartography (Online), v. 70, p. 199-225, 2018.

DOI: 10.14393/rbcv70n1-45254
Characterization of municipalities in the timber production chain

XXV IUFRO World Congress · 2019

CAPANEMA, V. P.; ESCADA, M. I. S. Characterization of municipalities in the timber production chain in the north of Mato Grosso, Brazil. In: IUFRO World Congress, Curitiba, PR. 2019.
Landscape patterns associated with extractivism in the Amazon

XXV IUFRO World Congress · 2019

SOUZA, A. R.; ESCADA, M. I. S.; SANTOS, G. V. S.; MONTEIRO, A. M. V.; CAPANEMA, V. P. Landscape patterns associated with extractivism in the Amazon: characterization and mapping of potential açaí occurrence areas in northeastern Pará. In: IUFRO World Congress, Curitiba, PR. 2019.
Comparison between TerraClass Amazônia and MapBiomas

Proceedings of the XIX Brazilian Remote Sensing Symposium · 2019

CAPANEMA, V. P.; SANCHES, I. D.; ESCADA, M. I. S. Comparison between land use and land cover thematic products from TerraClass Amazônia and MapBiomas: class adherence test. In: Brazilian Remote Sensing Symposium, 19th (SBSR), 2019, Santos. Proceedings... São José dos Campos: INPE, 2019. pp. 724-727. ISBN 978-85-17-00097-3.

http://urlib.net/rep/8JMKD3MGP6W34M/3U67378
Forest Degradation in the Amazon: spatial indicator

XVIII Brazilian Remote Sensing Symposium - SBSR · 2017

CAPANEMA, V. P.; ESCADA, M. I. S. Forest Degradation in the Amazon: Generation of a Spatial Indicator of Forest Degradation Susceptibility. In: XVIII Brazilian Remote Sensing Symposium - SBSR, Santos, 2017.
Fire scars and land use change patterns in Pará

XVIII Brazilian Remote Sensing Symposium - SBSR · 2017

SOUZA, G. M.; CAPANEMA, V. P.; ESCADA, M. I. S. Fire scars and land use and land cover change patterns in southwestern Pará, Brazil. In: XVIII Brazilian Remote Sensing Symposium - SBSR, Santos, 2017.

VPC-WEBSISTEMAS E GEOINFORMAÇÃO

Inteligência em geoprocessamento e sensoriamento remoto.

Founder, CEO, and Technical Lead of VPC-WEBSISTEMAS E GEOINFORMAÇÃO, a company specializing in transforming geospatial data into strategic decisions. The company develops integrated geoprocessing, remote-sensing, and data-analytics solutions for infrastructure, environmental management, and sustainability.

With a focus on cloud technologies and scalable data architectures, VPC-WEBSISTEMAS E GEOINFORMAÇÃO delivers territorial monitoring systems, environmental impact analysis, predictive modeling, and interactive dashboards — connecting raw data to actionable insights for decision-makers.

Vision: Democratize access to geospatial intelligence, enabling public and private organizations to make data-driven decisions and contribute to territorial sustainability.