Skip to main content

Find local clusters from geojson.

Project description

# Planet Labs Stack Finder #

Find locations where there are deep stacks of imagery by clustering the location of geojson polygons.

Input is a list of geojson dictionaries.

Each dictionary in the list must have keys [‘geometry’][‘coordinates’] or [‘coordinates’]

## Generic Setup ## pip install planet_stack_finder

## Setup from github repo ## pip install -e .[test]

## Tests ## pytest

## CLI ## ` find-stacks /path/to/file.metadata cat path/to/file.geojson | planet search | find-stacks `

## Python ## ` from stackfinder import findstacks `

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

stackfinder-0.0.11.tar.gz (7.7 kB view details)

Uploaded Source

File details

Details for the file stackfinder-0.0.11.tar.gz.

File metadata

File hashes

Hashes for stackfinder-0.0.11.tar.gz
Algorithm Hash digest
SHA256 aabf0bb19c27b684df116e3c0630e5353caade6f8ae3820b2824cfde761c6d5f
MD5 376850976f44c09f9eadd39cdc6fc356
BLAKE2b-256 d4a1fdbdfb28b963df9fbec0e2606d747fb4f3d3164e41f0b4997d3a98c723b4

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page