Cale Kochenour (calekochenour)

calekochenour

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Location:Colorado, United States

Home Page:https://medium.com/@calekochenour

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Organizations
bhartilab
conda-forge

Cale Kochenour's repositories

remote-sensing-textbook

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

Language:HTMLLicense:BSD-3-ClauseStargazers:37Issues:3Issues:2

nighttime-radiance

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

Language:Jupyter NotebookLicense:BSD-3-ClauseStargazers:18Issues:4Issues:0

gee-vegetation-change

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

Language:Jupyter NotebookLicense:BSD-3-ClauseStargazers:17Issues:2Issues:0

sentinel-5p-no2

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

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awherepy

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

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remote-sensing-fusion

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

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jupyter-book-env

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

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workflow-structure

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

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earth-engine-env

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

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project-structure

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

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python-formatter-env

Conda environment to format Python scripts and Jupyter Notebooks.

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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!

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awherepy-feedstock

A conda-smithy repository for awherepy.

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earth-analytics-python-env

a demo repo to test the ea envt in binder

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firstpackage

Testing the pyOpsenSci python package creation process.

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formatting-automation

Template for Python code formatting automation.

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intro-research-compendia

Training material: how and why to make a research compendium

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machine-learning-tutorial

Tutorial for working with machine learning algorithms in Python.

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mansfield-double-up-gpx-analysis

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

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ml4eo-bootcamp-2021

Machine Learning for Earth Observation Training of Trainers Bootcamp

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python-package-guide

scientific Python package recommendations & guidance curated by pyOpenSci

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python-release-features

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

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staged-recipes

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

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