uceseoo/kenya-tree-count

AI-detected tree counts for four areas of Kenya's Greater Rift Valley, from 30 cm satellite imagery, April 2026. # Tree Count — Greater Rift Valley Tree counts for four survey areas in Kenya's Greater Rift Valley, detected from 30 cm Vantor imagery captured April 2026. Built for the Government of Kenya briefing, 24 August 2026. ## Contents ``` index.html single page, no build step, no dependencies img/ 36 WebP images (4 area maps, 32 close-up sheets) fonts/ Archivo and Martian Mono, variable, self-hosted ``` Total size is about 7.6 MB. Nothing loads from a CDN, so the page works with no internet connection. ## Running it locally Open `index.html` in a browser. That is all. If Chrome blocks the fonts over `file://`, serve it instead: ``` python3 -m http.server 8000 ``` then open localhost ## Publishing to GitHub Pages 1. Create a repository and push the contents of this folder to the root. 2. Settings, then Pages, then set Source to `main` and folder to `/ (root)`. 3. The site appears at `https:// .github.io/ /` within a minute or two. ## Using it in the meeting - The page opens on close-ups, which is the evidence view. Satellite on the left, counted trees on the right, with the count for each view shown beneath. - Left and right arrow keys move through the eight close-up sheets for the selected area. - The dropdown switches survey area. - "Area map" shows the full extent with every counted tree as a dot. Download the folder before the meeting and run it from the laptop rather than relying on the room's connection. ## Figures | Area | County | Trees counted | Per hectare | Hectares | |---|---|---|---|---| | Engineer | Nyandarua | 6,500,000 | 106 | 60,754 | | Nyahururu | Laikipia | 5,300,000 | 109 | 48,297 | | Mau Narok | Narok | 4,900,000 | 99 | 49,631 | | Bahati | Nakuru | 1,600,000 | 121 | 13,464 | | **Total** | | **18,300,000** | | **172,146** | Close-up counts are read from the source sheets produced by WRI Restoration Data Science. ## Credit Tree detection and canopy height: WRI Restoration Data Science. I …