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earthlab/Airborne_FunctionalTraits

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1
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R
License
Creative Commons ...
Created over 3 years ago
Updated about 3 years ago

earthlab/Airborne_FunctionalTraits

earthlab

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Processing and working with functional trait data derived from UWisc data pipeline using HySDS and EcoSML trait models on Airborne Visible Infrared Imaging Spectroscopy (AVIRIS) data available from both NASA and NEON Airborne Observing Platforms (AOP)

earthpy

A package built to support working with spatial data using open source python

earthlab.github.io

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

earth-analytics-python-env

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

rslurm

Submit R code to a Slurm cluster

tutorials

Tutorials for spatial data processing and analysis in R and Python

Jupyter Notebook

firedpy

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

streamstats

Python package to interface with the USGS StreamStats API

abc-classroom

Tools to automate github classroom and autograding workflows

cft

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

dockerfiles

Dockerized R and Python environments for Earth Science in the cloud

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)!

neon-science-summit

A repository for the 2019 NEON Science Summit

neonhs

An R package to simplify working with NEON's hyperspectral imagery

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

earth-analytics-python-course

Materials for the earth-analytics-python course

earth-analytics-bootcamp-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.

neon-veg

Linking field-based and airborne data

oop-group

Object oriented programming in python co-learning group

Jupyter Notebook

qtoolkit

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

idtrees_earthlab

IDTReeS Jeepers Treepers code for manuscript figures

Jupyter Notebook

earth-lab-operations

earth-analytics-r-course

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

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

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

Jupyter Notebook

el-drones

A hub for all things drones in Earth Lab

hub-ops

Infrastructure and operations for the Earth Lab JupyterHub

14ers-git

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

climate-data-101

Jupyter Notebook

fdeo

Fire Danger from Earth Observations Modeling Software

UNet_Impervious_Surface_Classifier

Applying UNet to impervious surface classification from DG WorldView MS imagery

Jupyter Notebook

GeoMAC_DL

Programmatic access to fire data from GeoMAC via Python.

eddi

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

macrosystems

Spectral scaling research project

Western_states_daily_PM2.5

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.

eds-lessons-website

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

docker-training

Training materials: Docker for scientific computing

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.

edsc-summer-2020

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

Jupyter Notebook

Macrosystems_resilience_workshop_2023

Jupyter Notebook

neon-headwall-data

Jupyter Notebook

version-control-hot-mess

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

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

asprs_2020

Jupyter Notebook

bridges_to_prosperity_ML

disturbance-stack

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

usgs-citations

A repository for USGS Citation Project.

Jupyter Notebook

neonhs_classify

classify species using neonhs-derived data

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)

goesaf

Hourly analysis of GOES active fire data

IS_UNet_Resnet152

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

Jupyter Notebook

build-jupyter-rmd-ci-demo

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

aws-ops

Operations and management of Earth Lab AWS resources

night_fire

Jupyter Notebook

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

get-landsat-fires

Fetch Landsat fire rasters and stick them in S3

Navaid-converter

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

sentinel_api

Example notebook(s) of using the sentinelsat api

Jupyter Notebook

forest-carbon-codefest-2024

Forest Carbon Codefest hosted by Earth Lab & ESIIL