Daear-Consulting/
├── earth-intelligence-toolkit # shared library for data access, indicators, cube, governance, viz
├── wildfire-landscape-intelligence # fully built, 4/4 modules
├── soil-watershed-intelligence # module 3 built, 1/2/4 scaffolded
├── tribal-wildfire-intelligence # data sovereignty module 4 built, 1/2/3 scaffolded
└── climate-resilience-indicators # synthesis/atlas layer: module 3 built, 1/2/4 scaffolded
A working demonstration of Daear's wildfire, soil-watershed, and data
sovereignty work are facets of one platform. All four downstream repos
share one library (earth-intelligence-toolkit) and anchor on one place:
the Cache la Poudre watershed above Fort Collins, Colorado, burned by
the 2020 Cameron Peak Fire.
Per the "thin vertical slice" approach: every repo has at least one fully working, executed notebook using the shared toolkit against the shared region and the remaining modules in each repo are scaffolded with a clear plan (data sources, outputs, which toolkit functions they'll call).
Fully built: wildfire-landscape-intelligence (all 4 modules).
One module built, rest scaffolded: soil-watershed-intelligence
(fire/soil/water chain), tribal-wildfire-intelligence (governance
enforcement demo), climate-resilience-indicators (composite index,
reusing the other two repos' outputs directly).
Every notebook that's marked "Built" has been executed end-to-end in this build and includes real output (plots, tables, printed results).
cd earth-intelligence-toolkit && pip install -e .
cd ../wildfire-landscape-intelligence && jupyter lab notebooks/Every notebook runs top-to-bottom with no credentials required.
- Fill in the scaffolded modules in
soil-watershed-intelligence,tribal-wildfire-intelligence, andclimate-resilience-indicatorseach README lists exactly what's planned - Replace the illustrative grid-based "sub-watershed" split in
wildfire-landscape-intelligenceModule 4 with real NHD/WBD HUC-12 polygons - Extend
climate-resilience-indicatorsto the Black Hills and a Tribal watershed region (newRegionentries inearth_intelligence_toolkit.regionsno new code needed)