Brewing Data intoActionable Geospatial Insights

CoffeeMap.dev, created by Amin Adnan Gasim, is a geospatial engineering platform focused on enterprise GIS, web mapping, GeoAI, and BIM integration—transforming complex spatial data into clear, actionable intelligence for infrastructure and environmental applications.

What We Do

End-to-end geospatial solutions spanning data collection, analysis, and visualization

Enterprise GIS

Scalable geospatial infrastructure solutions powered by ArcGIS and PostGIS for mission-critical operations.

Web Mapping

Interactive web mapping platforms using Leaflet, Mapbox, and Cesium for immersive data visualization.

GeoAI & Remote Sensing

Machine learning and satellite analysis using Google Earth Engine for actionable intelligence.

BIM & Infrastructure

Unified 3D infrastructure management bridging CAD, BIM (Revit), and GIS for digital twins.

Featured Projects

Explore our portfolio of geospatial engineering solutions across humanitarian and infrastructure domains

GeoAI - Hydrology

Blue Nile Flood Risk

Client-side GeoAI flood risk mapping for Sennar and Gezira, Sudan — Sentinel-1 SAR flood detection, DEM slope, rainfall and river distance combined in an adjustable risk model, all computed in the browser.

Blue Nile Flood Twin

An animated 3D flood of Sennar, Sudan during the September 2020 Blue Nile flood — terrain, extruded buildings, rising water, rain following rainfall and buildings coloured by water depth, with the same animation exported to video.

Riyadh Urban Heat & Tree Canopy Equity

Client-side GeoAI for Riyadh — Landsat surface temperature hotspots, Sentinel-2 NDVI and tree canopy, OSM trees and parks, a TensorFlow.js heat-risk model and canopy-equity priority zones for planting, all computed in the browser.

GeoAI Crop Monitoring

Sentinel-2 crop monitoring for irrigated farms in Al Jouf, Saudi Arabia — auto-detected centre pivots, NDVI/EVI time series, crop classification and anomaly alerts.

Serverless GeoAI Architecture

Interactive architecture of the GeoAI dashboards: two live routes (compute in the browser, or precompute once and stream imagery) and a planned third for trained models, with no VPS, database or Python at runtime.

Geospatial QA/QC Workbench

Interactive QA/QC workflows for orthoimagery, elevation models, topographic vectors and land cover — what to check, how in ArcGIS Pro, QGIS and code, the ISO 19157-1 element behind each step, plus sampling, accuracy and confusion-matrix calculators.

Sudan Conflicts

Conflict monitoring dashboard mapping ACLED political violence events and fatalities across Sudan since April 2023, by state, locality and month.

Sudan Flood Dashboard

Interactive humanitarian dashboard tracking flood crisis, displacement, and disease outbreaks across Sudan states using real OCHA data.

3W Humanitarian Mapping

Who What Where dashboard tracking Sudan humanitarian activities, active partners, and coverage gaps using real OCHA 3W response monitoring data.

3D Mosque Viewer

Interactive 3D environment of a mosque site in Aseer, Saudi Arabia — clickable BIM data for every Revit element (Saudi codes, quantities, SAR costs, lifecycle), DTM terrain with orthophoto, live traffic, day / night lighting and a survey drone flying a photogrammetry mission that builds up its photo overlap on the ground.

Latest Insights

Technical deep dives and best practices from our geospatial engineering experience

GeoAI

28 Sept 2026

Serverless GeoAI: The Architecture Behind CoffeeMap.dev

How three satellite dashboards run with no VPS, no database and no Python at runtime: two routes, six patterns and one rule for where each computation belongs.

GeoAI

28 Sept 2026

Flood Risk Mapping on the Blue Nile, Entirely in the Browser

Sentinel-1 radar, terrain tiles, rainfall and OpenStreetMap rivers become a flood-risk screening model for Sennar and Gezira, with no server at all.

GeoAI

28 Sept 2026

Where Riyadh Needs Trees Most

Landsat heat, Sentinel-2 vegetation, WorldCover and OpenStreetMap on a 1.6-million-cell grid, client-side, to rank the blocks where one more tree matters most.

GeoAI

28 Sept 2026

Crop Monitoring for Al Jouf Without a Server

Centre-pivot detection, NDVI/EVI time series, crop classification and anomaly alerts, built offline in Python and served as static files plus live tiles.

Enterprise GIS

28 Sept 2026

A Practical QA/QC Workbench for Geospatial Data

What to check, how to check it in ArcGIS Pro, QGIS and code, and which ISO 19157-1 element it tests, for orthoimagery, elevation models, vector data and land cover.

Get in Touch

Have a project in mind? Let’s discuss how we can help with your geospatial needs.

Connect With Us

X (Twitter)

@coffeemapdev

@amiin211

GitHub

@amiin211

[email protected]