SEI Latin America is a multidisciplinary research organization focused on water resources, climate resilience, geospatial analysis, environmental monitoring, and applied data science for Latin American contexts.
Our work combines hydrology, machine learning, remote sensing, GIS, and interactive web platforms to support decision-making for water management, ecosystem monitoring, and climate adaptation.
- Focus areas: hydrology, climate data, geospatial analysis, remote sensing, environmental monitoring, AI for decision support
- Geographic emphasis: Latin America, especially Colombia, Bolivia, Peru, and other regional basins
- Core technologies: Python, R, JavaScript, HTML/CSS, Vue.js, VBA, GIS, Earth Engine, machine learning, Shiny apps
- Typical project types: geoportals, analytical dashboards, hydrologic models, climate exploration platforms, ecosystem monitoring tools
- Title: ANATEHC
- Description: Hydroclimatology analysis and statistical assessment of climate and hydrologic signals
- Stack: R, data analysis, data visualization
- Stars/Forks: 1 star, 0 forks
- Visibility: Public
- Contributors: @camisanabriam, @cagarciae, @dazamora
- Title: WEAP_DSAC
- Description: Automatic routines for watershed and river delineation or integration for WEAP workflows
- Stack: Python
- Stars/Forks: Private repository; no public stars/forks published
- Visibility: Private
- Contributors: Public contributor data not disclosed for this private repository
- Title: Perú web training (2024)
- Description: Educational materials and learning resources for web training in Peru
- Stack: Jupyter Notebook, Python
- Stars/Forks: 1 star, 0 forks
- Visibility: Public
- Contributors: @cafigueroao, @GustavoAyalaTicona
- Title: Watershed Topology Tool (WaTT)
- Description: Tool designed to extract and explore interconnections within WEAP model components and perform topological analysis across multiple scales
- Stack: Excel/VBA, hydrologic modeling support tools
- Stars/Forks: 1 star, 0 forks
- Visibility: Public
- Contributors: @camilogonzaleza12
- Title: Serious Game for Watershed Management
- Description: Serious game for watershed planning and management applied to the Campoalegre River Basin in Colombia
- Stack: Interactive web/shiny-style watershed application, data-driven decision support
- Stars/Forks: 1 star, 0 forks
- Visibility: Public
- Contributors: @camilogonzaleza12
- Title: WETSAT
- Description: R package for wetland monitoring and analysis
- Stack: R
- Stars/Forks: 2 stars, 1 fork
- Visibility: Public
- Contributors: @dazamora, @spalominoa, @sei-latinoamerica
- Title: WEAP WebApp - Bolivia Surface Water Balance
- Description: Development workflows and web application for accessing monthly water-balance data for Bolivia from 1980 to 2020
- Stack: JavaScript, Google Earth Engine, Google APIs, web application development
- Stars/Forks: 2 stars, 1 fork
- Visibility: Public
- Contributors: @CarlosMendez1997Sei, @CarlosMendez1997Col
- Title: WETSAT v2.0
- Description: Wetland flooding extent and trend detection using satellite observations and machine learning
- Stack: Python, machine learning, scikit-learn, Google Colab
- Stars/Forks: 8 stars, 5 forks
- Visibility: Public
- Contributors: @CarlosMendez1997Sei, @spalominoa, @CarlosMendez1997Col, @sei-latinoamerica
- Title: Bolivia Surface Water Balance Website & Documentation
- Description: Web portal and documentation for the Bolivia Surface Water Balance project and associated data access workflow
- Stack: HTML, web documentation, design
- Stars/Forks: 2 stars, 1 fork
- Visibility: Public
- Contributors: @CarlosMendez1997Sei, @CarlosMendez1997Col
- Title: Bolivia Watch Geoportal
- Description: Geoportal for visualization and access to water and environmental information from the Bolivia Watch project
- Stack: HTML, geospatial web portal, GIS-oriented web development
- Stars/Forks: 3 stars, 2 forks
- Visibility: Public
- Contributors: @CarlosMendez1997Col, @CarlosMendez1997Sei
- Title: SEI-GENA
- Description: Search for international calls for proposals using generative AI to support funding and international opportunities discovery
- Stack: Python, generative AI, LLM-enabled search workflows
- Stars/Forks: Private repository; public star/fork count not available
- Visibility: Private
- Contributors: @CarlosMendez1997Col
- Title: Automation of Satellite Image Downloads
- Description: Automated geographic data retrieval using Google Earth Engine, geemap, and REST APIs
- Stack: Python, JavaScript, GEE, geemap, REST APIs
- Stars/Forks: 1 star, 1 fork
- Visibility: Public
- Contributors: @CarlosMendez1997Col
- Title: COAST - Wind Geovisor
- Description: Development of the Colombian Ocean Activity and Susceptibility Tool focused on wind-related analysis
- Stack: Vue.js, GIS, spatial data, web mapping
- Stars/Forks: 1 star, 0 forks
- Visibility: Public
- Contributors: @CarlosMendez1997Col
- Title: Qual2k Model
- Description: New version of the Qual2k river-water quality model
- Stack: VBA, environmental modeling
- Stars/Forks: 1 star, 0 forks
- Visibility: Private
- Contributors: @CarlosMendez1997Col
- Title: Geovisor Acre
- Description: Flood monitoring system for the urban area of Cobija in the Acre River basin, integrating satellite data and hydrodynamic modeling
- Stack: HTML, geospatial web platform, GIS and hydrodynamic monitoring
- Stars/Forks: 1 star, 3 forks
- Visibility: Public
- Contributors: @CarlosMendez1997Col
- Title: PORH-TOOL App
- Description: Interactive R Shiny application for environmental and climate analysis
- Stack: R, Shiny
- Stars/Forks: Private repository; public star/fork count not available
- Visibility: Private
- Contributors: @CarlosMendez1997Col
- Title: AI Climate Explorer
- Description: AI-based climate exploration tool for analysis and visualization of climate datasets
- Stack: HTML, web-based climate exploration UI
- Stars/Forks: 1 star, 0 forks
- Visibility: Public
- Contributors: @CarlosMendez1997Col
- Title: SEI LATAM organization profile
- Description: GitHub organization configuration and landing page for SEI Latin America
- Stack: GitHub profile metadata and documentation
- Stars/Forks: Organization profile repository
- Visibility: Public
- Contributors: Organization configuration repository
- Python: geospatial workflows, AI, machine learning, data processing
- R: hydrologic and environmental analysis, Shiny applications
- JavaScript: web applications and dashboards
- HTML/CSS: geoportals and documentation websites
- Vue.js: modern frontend interfaces
- VBA: Excel-based modeling and automation
- GIS and remote sensing: spatial analysis, geovisors, map-based tools
- Google Earth Engine and geemap: satellite data processing and automation
- Shiny: interactive analytical applications
- Water resources and watershed assessment
- Flood monitoring and hydrodynamic analysis
- Climate and hydroclimatology analysis
- Environmental geospatial monitoring
- Machine learning for environmental applications
- AI-assisted research and proposal discovery
The most active public contributors identified in the organization include:
- @CarlosMendez1997Col
- @CarlosMendez1997Sei
- @camisanabriam
- @cagarciae
- @dazamora
- @cafigueroao
- @GustavoAyalaTicona
- @camilogonzaleza12
- @saedoquililongo
- @spalominoa
Public repository stats visible on GitHub (excluding private repositories):
- Total public repositories: 13
- Total public stars: 25
- Total public forks: 14
This reflects the organization’s active development across environmental data science, geospatial platforms, applied AI, and sustainability-focused digital tools.
SEI LATAM is building a practical portfolio of applied environmental and water technology solutions, with a strong emphasis on open, evidence-based, and decision-support tools for Latin American contexts. The organization combines scientific research, software engineering, geospatial analysis, and AI-driven workflows to address climate, water, and ecosystem challenges.
We welcome collaboration, open innovation, and partnerships that advance sustainable environmental management and climate resilience.