earthlib
Contains several thousand unique spectral endmembers representing green vegetation, soil, non-photosynthetic vegetation, urban materials, and burned materials.
https://github.com/earth-chris/earthlib-legacy
Category: Natural Resources
Sub Category: Soil and Land
Keywords
conservation earth-engine ecology remote-sensing spectral-unmixing
Last synced: about 2 hours ago
JSON representation
Repository metadata
Spectral endmembers and unmixing tools for satellite land cover mapping.
- Host: GitHub
- URL: https://github.com/earth-chris/earthlib-legacy
- Owner: earth-chris
- License: mit
- Created: 2018-06-26T00:17:21.000Z (almost 7 years ago)
- Default Branch: main
- Last Pushed: 2023-09-10T19:19:25.000Z (over 1 year ago)
- Last Synced: 2025-04-20T09:04:09.407Z (7 days ago)
- Topics: conservation, earth-engine, ecology, remote-sensing, spectral-unmixing
- Language: Jupyter Notebook
- Homepage: https://earth-chris.github.io/earthlib
- Size: 129 MB
- Stars: 24
- Watchers: 1
- Forks: 3
- Open Issues: 5
- Releases: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
README.md
The Earth Library
Documentation: earth-chris.github.io/earthlib
Source code: earth-chris/earthlib
Introduction
earthlib is a spectral library and a set of software tools for satellite-base land cover mapping.
The library contains several thousand unique spectral endmembers representing green vegetation, soil, non-photosynthetic vegetation, urban materials, and burned materials. The reflectance data cover the visible to the shortwave infrared wavelengths (400-2450 nm) at 10 nm band widths.
The software tools (1) resample these data to match the wavelenths of popular satellite and airborne earth observing sensors and (2) run spectral mixture analysis in Google Earth Engine via the earthengine python package.
The goal is to quantify spatial and temporal patterns of change in global vegetation cover, as well as patterns of soil cover, burned area, non-photosynthetic vegetation, and impervious surfaces. With earthlib, you can do this using most public satellite data sources.
Installation
This library can be installed via pip.
pip install earthlib
You can also clone the source repository and install it locally.
git clone https://github.com/earth-chris/earthlib.git
cd earthlib
pip install -e .
conda
I recommend working with earthlib in conda (download from here). The environment.yml file in this repository contains a series of packages that are either required (earthengine-api) or just convenient (jupyter, folium) to have.
git clone https://github.com/earth-chris/earthlib.git
cd earthlib
conda env update
Once the environment has been created, you can activate it with conda activate earthlib.
Contact
This work is supported by the Stanford Center for Conservation Biology and the Natural Capital Project.
Owner metadata
- Name: Christopher Anderson
- Login: earth-chris
- Email:
- Kind: user
- Description: ecology | space | design
- Website: https://earth-chris.github.io
- Location: San Francisco, CA
- Twitter: earth_chris
- Company: @planetlabs
- Icon url: https://avatars.githubusercontent.com/u/10216182?u=abccdd72eae96ab5042a5a9a11580202af0adfdf&v=4
- Repositories: 17
- Last ynced at: 2025-04-25T07:11:30.791Z
- Profile URL: https://github.com/earth-chris
GitHub Events
Total
Last Year
Committers metadata
Last synced: 6 days ago
Total Commits: 255
Total Committers: 2
Avg Commits per committer: 127.5
Development Distribution Score (DDS): 0.004
Commits in past year: 4
Committers in past year: 1
Avg Commits per committer in past year: 4.0
Development Distribution Score (DDS) in past year: 0.0
| Name | Commits | |
|---|---|---|
| earth-chris | c****8@g****m | 254 |
| unknown | l****u@s****u | 1 |
Committer domains:
- stanford.edu: 1
Issue and Pull Request metadata
Last synced: 1 day ago
Total issues: 22
Total pull requests: 23
Average time to close issues: 8 months
Average time to close pull requests: 1 day
Total issue authors: 2
Total pull request authors: 2
Average comments per issue: 0.45
Average comments per pull request: 0.35
Merged pull request: 22
Bot issues: 0
Bot pull requests: 0
Past year issues: 0
Past year pull requests: 0
Past year average time to close issues: N/A
Past year average time to close pull requests: N/A
Past year issue authors: 0
Past year pull request authors: 0
Past year average comments per issue: 0
Past year average comments per pull request: 0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- earth-chris (20)
- lingling-liu (2)
Top Pull Request Authors
- earth-chris (22)
- lingling-liu (1)
Top Issue Labels
- enhancement (11)
- high effort (4)
- high priority (4)
- science (4)
- low priority (2)
- bug (2)
- documentation (1)
- question (1)
Top Pull Request Labels
- enhancement (9)
- science (1)
- documentation (1)
- bug (1)
Dependencies
- geemap * development
- jupyter * development
- matplotlib * development
- twine * development
- earthengine-api >=0.1.317
- numpy >=1.21.5
- pandas >=1.3.5
- spectral >=0.22.4
- tqdm >=4.63.0
- actions/checkout v2 composite
- actions/setup-python v2 composite
- actions/checkout v2 composite
- actions/setup-python v2 composite
Score: 4.060443010546419