tallstuffnearme

This shows you tall stuff around you from the best possible resource available: the FAA Digital Obstacle File;

Setup

1. Clone repo with git clone --depth 1 https://github.com/jakehemmerle/tallstuffnearme
2. Start a new Postgres instance and set URL in .env, or use the provided docker-compose.yaml.
3. Decompress the (or download the latest DOF zip file into faa-data.
4. yarn (to install deps)
5. yarn db:reinitialize - configure DB, parse DAT files, and seed the DB.

Usage: Generate GeoJSON Data

Write to File

Set your search parameters and stuff in src/geojson.ts and then run yarn geojson. This will write your output to a file geojson.json

Serve via webserver

Run yarn dev to start the webserver. The GET /object endpoint will return a GeoJSON feature collection based on the query parameters you provide it. Example:

// GET /object with following JSON payload in body
{
    latitude: number, // decimal degrees
    longitude: number, // decimal degrees
    radius?: number,  // integer in miles, default to 10
    minHeight?: number // integer in feet, default to 100ft
    maxHeight?: number // integer in feet, default is null
    excludedObjects?: ObjectType[],  // enum of objects to ignore in search; ObjectType from @prisma/client
}

// response is a geojson feature collection
FeatureCollection<Point, ObjectGeoJsonProperties>

Dev Resources

FAA Digital Obstacle File

FAA Obstacle Data FAQ

For parsing earth data down the road(?): USGS map

Google Maps JS API: https://developers.google.com/maps/documentation/javascript/tutorials

Legal

From the DOF FAQ:

Q: Is the DOF data considered to be in the public domain? Are there any restrictions on using the DOF data?

A: Yes, it is in the public domain. There are no restrictions on how you may use the data, but you are not allowed to change the data.

Seem the FAQ here].