Stars
This initiative is inclined to address global vector (point) data accessing and hosting in a cloud-native environment.
🛰️ List of earth observation companies and job sites
Interoperable processes for openEO's big Earth observation cloud processing.
A ready-to-use curated list of Spectral Indices for Remote Sensing applications.
Perform parallel computing on clusters with R language
Master the command line, in one page
Techniques for deep learning with satellite & aerial imagery
A reproducible analysis of environmental data - from hardware to plot
The Ultimate FREE Machine Learning Study Plan
Introduction to convolutional neural networks (CNNs) with a remote sensing example.
Interpreting machine-learning models in transformed space
R package for downloading and processing Land cover/use statistics (LUCAS) data provided by EUROSTAT
Airborne LiDAR data manipulation and visualisation for forestry application
🌐 List & Map of 700+ companies for geospatial jobs (GIS, Earth Observation, UAV, Satellite, Digital Farming, ..)
pyGEDI is a Python Package for NASA's Global Ecosystem Dynamics Investigation (GEDI) mission, data extraction, analysis, processing and visualization.
scripts and snippets for Google Earth Engine
🔏 Opinionated, typographic-centric ggplot2 themes and theme components
A curated list of awesome tools, tutorials, code, projects, links, stuff about Earth Observation, Geospatial Satellite Imagery
RMarkdown template for theses written at HU Berlin WiWi
An updated R Markdown thesis template using the bookdown package
Word counts and readability statistics in R markdown documents
⛔ ARCHIVED ⛔ What the Package Does (One Line, Title Case)
Functions for estimating wildland fire hazard using common models in the US.
Cheat sheet for GDAL/OGR command-line tools
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media