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Author	SHA1	Message	Date
Graham McIntire	da332d3174	test: 100% coverage push — Valkey.RedixAdapter, Buildings.BulkFetch, AprsRepo, Maidenhead, Canopy - Valkey.RedixAdapter: 0% -> 100% (delegation lines exercised) - Buildings.BulkFetch: 0% -> 56% (run/4 with stubbed empty index) - AprsRepo: 50% -> exercises repo config + Ecto.Repo callbacks - Maidenhead.valid?/1: covers non-binary non-nil arms - Canopy.tile_filename/2: S/E hemisphere prefix branches	2026-05-08 10:01:28 -05:00
Graham McIntire	4f647e7894	feat(canopy): add tree-canopy height layer for path obstruction analysis Adds Microwaveprop.Canopy module that reads 1° × 1° uint8 per-degree canopy-height tiles (mirrors SRTM .hgt naming/layout, 30 m resolution). Returns 0 m for areas with no tile on disk so the lookup is safe to thread through the existing path-clearance pipeline before any data lands. Wires canopy into: - PathTerrain.obstacle_top: per-sample blocker = ground + max(building_m, canopy_m), so the rover ranks paths through forests as obstructed even when no buildings sit on the line - CandidateDetail profile: each sample now carries canopy_m alongside building_m - Rover-detail SVG: green "trees" polygon stacked on terrain, under the red building polygon - Path calculator elevation chart: green Tree Canopy dataset between terrain and buildings Data prep (download Potapov 2019 / Lang 2022 GeoTIFF, slice to per-degree uint8 tiles, drop in /data/canopy/) is a separate one-shot operation — without tiles, lookups return 0 and the existing behavior is unchanged.	2026-04-26 12:51:48 -05:00

Author

SHA1

Message

Date

Graham McIntire

da332d3174

test: 100% coverage push — Valkey.RedixAdapter, Buildings.BulkFetch, AprsRepo, Maidenhead, Canopy

- Valkey.RedixAdapter: 0% -> 100% (delegation lines exercised)
- Buildings.BulkFetch: 0% -> 56% (run/4 with stubbed empty index)
- AprsRepo: 50% -> exercises repo config + Ecto.Repo callbacks
- Maidenhead.valid?/1: covers non-binary non-nil arms
- Canopy.tile_filename/2: S/E hemisphere prefix branches

2026-05-08 10:01:28 -05:00

Graham McIntire

4f647e7894

feat(canopy): add tree-canopy height layer for path obstruction analysis

Adds Microwaveprop.Canopy module that reads 1° × 1° uint8 per-degree
canopy-height tiles (mirrors SRTM .hgt naming/layout, 30 m resolution).
Returns 0 m for areas with no tile on disk so the lookup is safe to
thread through the existing path-clearance pipeline before any data
lands.

Wires canopy into:
  - PathTerrain.obstacle_top: per-sample blocker = ground +
    max(building_m, canopy_m), so the rover ranks paths through forests
    as obstructed even when no buildings sit on the line
  - CandidateDetail profile: each sample now carries canopy_m alongside
    building_m
  - Rover-detail SVG: green "trees" polygon stacked on terrain, under
    the red building polygon
  - Path calculator elevation chart: green Tree Canopy dataset between
    terrain and buildings

Data prep (download Potapov 2019 / Lang 2022 GeoTIFF, slice to per-degree
uint8 tiles, drop in /data/canopy/) is a separate one-shot operation —
without tiles, lookups return 0 and the existing behavior is unchanged.

2026-04-26 12:51:48 -05:00

2 commits