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goodguy2100/kisumu-gis-portfolio

Domain:

geospatial

Record type:

project
Creator:
goo
Host:
GIS internship portfolio - Kisumu City Hall: satellite water detection (browser, zero-install), parking revenue accountability, pseudo-3D buildings, census data analysis. All public data. # Kisumu City Hall GIS — Internship Portfolio **Author:** Randy · GIS intern, City Hall GIS Department, Kisumu, Kenya **Period:** Week 1 (Aug 2026) **Constraint that shaped everything:** guest accounts, no admin rights, slow IT bureaucracy → **every tool is zero-install: open in a browser or run from a USB stick.** --- ## Projects at a glance | # | Project | Status | What it is | |---|---------|--------|-----------| | 01 | **Water Body Lab** | ✅ Working | Satellite water/pond/flood detection in the browser (NDWI/MNDWI/Otsu) — streams real Sentinel-2 scenes, zero install | | 02 | **Parking Accountability** | 🔶 Concept + scripts | Revenue-leakage audit for city parking: reconciliation of payment logs vs physical capacity (not ANPR) | | 03 | **Pseudo-3D Buildings** | 🔶 Design | Footprint + floor-count pseudo-3D for the city — drone/lidar/gyroscope approaches killed on evidence | | 04 | **Zero-Install Playbook** | 📘 Lessons | The pattern that survived: anything needing IT involvement dies; anything in a browser/USB survives | | 05 | **Census Data Analysis** | ✅ Working | Ward-level demographic investigation ("Katito ward" / "Seme ward") — exact cited figures from KPHC 2019 | ## Flagship demo (60 seconds, no install) 1. Open `01-water-body-lab/water_body_lab.html` in Chrome. 2. Sample scene loads automatically → click **Auto threshold (Otsu)**. 3. Blue = water detected; pond count + areas appear. 4. Real data: click **🌐 Sentinel-2 · Kisumu scene** (streams from NASA's open S3 bucket) or upload a GeoTIFF. ## What this week proved (the short version) - **Positioning matters as much as the tool:** the flood/pond tool was validated by the GIS team as *internal decision-support* (they need faster signal; they can't publish error-prone public maps). That framing is why it survives. - **Reconciliation beats detection:** parking accountability is a discrepancy problem (reported vs actual), not a "count every car" problem — a fraction of the cost and no surveillance infrast …

Visit

github.com

Tasks

computer vision

Languages

Kenyan Sign Language

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