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api-code-samples

Get jumpstarted with aWhere's API platforms using these code samples. More languages and samples will be coming, feel free to fork and contribute!

awherepy

Python package built to work with weather and agriculture data in the aWhere API.

awherepy-feedstock

A conda-smithy repository for awherepy.

ea-bootcamp-hometowns

earth-analytics-python-env

a demo repo to test the ea envt in binder

earth-engine-env

Conda environment to use the Google Earth Engine Python API within Jupyter environments and Python scripts.

firstpackage

Testing the pyOpsenSci python package creation process.

formatting-automation

Template for Python code formatting automation.

gee-vegetation-change

Reproducible remote sensing analysis using Google Earth Engine (GEE) to identify vegetation change in Columbia.

intro-research-compendia

Training material: how and why to make a research compendium

jupyter-book-env

Conda environment to create computational publications with Jupyter Book and host content on GitHub Pages.

machine-learning-tutorial

Tutorial for working with machine learning algorithms in Python.

mansfield-double-up-gpx-analysis

Reproducible data science project analyzing a GPX file from the 2017 Mansfield Double Up mountain race in Stowe, Vermont.

ml4eo-bootcamp-2021

Machine Learning for Earth Observation Training of Trainers Bootcamp

nighttime-radiance

Python scripts and Jupyter Notebooks to download and preprocess VIIRS DNB Nighttime Lights data.

project-structure

Python code to create a baseline folder structure for open reproducible science projects.

python-formatter-env

Conda environment to format Python scripts and Jupyter Notebooks.

python-package-guide

scientific Python package recommendations & guidance curated by pyOpenSci

python-release-features

Jupyter Notebooks to demonstrate, organize, and consolidate new features in Python releases, starting with Python 3.8.

remote-sensing-fusion

Reproducible remote sensing analysis that measures movement indicators during the coronavirus (COVID-19) outbreak.

remote-sensing-textbook

Textbook that provides JavaScript and Python code to create open reproducible remote sensing analyses and workflows in Google Earth Engine.

sentinel-5p-demo

sentinel-5p-no2

Python scripts and Jupyter Notebooks to download and preprocess Sentinel-5P NO2 data.

staged-recipes

A place to submit conda recipes before they become fully fledged conda-forge feedstocks

workflow-structure

Python script and Jupyter Notebook templates for open reproducible science workflows.