Discover earthlab/neonhs Open Source project by Earth Lab (@earthlab)

A site dedicated to tutorials, course and other learning materials and resources developed by the Earth Lab team

498

earthlab.github.io

A conda environment and docker container to support using earth and environmental data in Python.

earth-analytics-python-env

Submit R code to a Slurm cluster

rslurm

tutorials

Tutorials for spatial data processing and analysis in R and Python

A Python Command Line Interface for classifying fire events from the Collection 6 MODIS Burned Area Product.

firedpy

Python package to interface with the USGS StreamStats API

streamstats

Tools to automate github classroom and autograding workflows

abc-classroom

Climate futures toolbox: easy MACA (MACAv2) climate data access 📦

cft

dockerfiles

Dockerized R and Python environments for Earth Science in the cloud

Dockerfile

matplotcheck

A python package for checking and testing matplotlib plots. We use this for autograding student assignments but there are many other potential use cases including package testing (for packages with plots)!

A repository for the 2019 NEON Science Summit

neon-science-summit

earth-analytics-intro-to-earth-data-science-textbook

This introductory online textbook provides core scientific programming skills required to efficiently work with a suite of earth systems data in the Python programming language.

earth-analytics-intermediate-earth-data-science-textbook

Materials for the earth-analytics-python course

earth-analytics-python-course

This introductory course provides core scientific programming skills required to efficiently work with a suite of earth systems data in the Python programming language.

earth-analytics-bootcamp-course

Linking field-based and airborne data

neon-veg

oop-group

Object oriented programming in python co-learning group

An R package that allows you to efficiently access, plot and analyze survey data via the Qualtrics API.

qtoolkit

idtrees_earthlab

IDTReeS Jeepers Treepers code for manuscript figures

A course that teaches students how to work with different types of data using the R programming language.

earth-lab-operations

Earth Lab Wiki

earth-analytics-r-course

NSS-Satellite-Imagery-with-NEON-AOP-Data

Code and instructions for "Satellite Imagery with NEON AOP Data" Working Group at NEON Science Summit

A hub for all things drones in Earth Lab

el-drones

Infrastructure and operations for the Earth Lab JupyterHub

hub-ops

This is a demo repo to use for the 14ers activity

14ers-git

climate-data-101

Fire Danger from Earth Observations Modeling Software

fdeo

Applying UNet to impervious surface classification from DG WorldView MS imagery

UNet_Impervious_Surface_Classifier

Programmatic access to fire data from GeoMAC via Python.

GeoMAC_DL

R package for the Evaporative Demand Drought Index (EDDI) data product

eddi

macrosystems

Spectral scaling research project

Earth Lab's health team project to estimate air pollution exposures across the western U.S. for an 11-year period (2008-2018). R code to execute the machine learning algorithms that will be used to estimate PM2.5.

Western_states_daily_PM2.5

eds-lessons-website

this is where the final rendered markdown files and code triggered images will live

Training materials: Docker for scientific computing

docker-training

earth-analytics-open-gis-python-workshop

This workshop provides lessons on open source packages that can be used to plot and manipulate spatial data in Python including GeoPandas, Rasterio and Matplotlib.

A repository to store teaching notebooks for the Earth Lab earth data science corps.

edsc-summer-2020

Macrosystems_resilience_workshop_2023

neon-headwall-data

This is the repo where we store data and code for the git / documentation training.

version-control-hot-mess

forest-disturbance-stack

leri

R package to access Landscape Evaporative Response Index (LERI) data

r-python-eds-lessons-env

An R and Python Docker environment to build the earthdatascience.org lessons via CircleCI

Dockerfile

asprs_2020

bridges_to_prosperity_ML

A raster stack of disturbance across the forested western U.S. at an annual temporal resolution and an as-fine-as-possible spatial resolution.

disturbance-stack

usgs-citations

A repository for USGS Citation Project.

classify species using neonhs-derived data

neonhs_classify

modis-fire-events-delineation

macrosystems_main

A core repository for the Macrosystems project. This repository contains subrepos for distinct projects and tasks.

macrosystems_fieldwork_hub

A repository for macrosystems workflows (e.g. digital mapping, UAS processing, plot creation)

Hourly analysis of GOES active fire data

goesaf

IS_UNet_Resnet152

UNet with Resnet152 encoder to segment impervious surface cover from WorldView-2 imagery

This repo provides a demonstration of how you can build a jupyter notebooks and knit rmd files via ci

build-jupyter-rmd-ci-demo

aws-ops

Operations and management of Earth Lab AWS resources

night_fire

earth-analytics-scientists-guide-to-plotting-data-in-python-textbook

Fetch Landsat fire rasters and stick them in S3

get-landsat-fires

Navaid-converter

Convert lat/long coordinates into a list of ARINC424 codes for filing NOTAMs for Drone flights

Example notebook(s) of using the sentinelsat api

sentinel_api