earthlib-legacy
Spectral endmembers and unmixing tools for satellite land cover mapping.
Science Score: 10.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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○codemeta.json file
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○.zenodo.json file
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○DOI references
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○Academic publication links
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✓Committers with academic emails
1 of 2 committers (50.0%) from academic institutions -
○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (13.9%) to scientific vocabulary
Keywords
Repository
Spectral endmembers and unmixing tools for satellite land cover mapping.
Basic Info
- Host: GitHub
- Owner: earth-chris
- License: mit
- Language: Jupyter Notebook
- Default Branch: main
- Homepage: https://earth-chris.github.io/earthlib
- Size: 129 MB
Statistics
- Stars: 24
- Watchers: 1
- Forks: 3
- Open Issues: 5
- Releases: 0
Topics
Metadata Files
README.md
The Earth Library
A global reference library for land cover spectra, and tools for working with it.
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.
bash
pip install earthlib
You can also clone the source repository and install it locally.
bash
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.
bash
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
- Name: Christopher Anderson
- Login: earth-chris
- Kind: user
- Location: San Francisco, CA
- Company: @planetlabs
- Website: https://earth-chris.github.io
- Twitter: earth_chris
- Repositories: 17
- Profile: https://github.com/earth-chris
ecology | space | design
GitHub Events
Total
- Watch event: 1
Last Year
- Watch event: 1
Committers
Last synced: 7 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| earth-chris | c****8@g****m | 254 |
| unknown | l****u@s****u | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 0
- Total pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Total issue authors: 0
- Total pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
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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