Data Carpentry for Biologists: A semester long Data Carpentry course using ecological and other biological examples

Data Carpentry for Biologists is a semester-long course in best practices for storing, loading, manipulating, and visualizing data using R. The course material includes video demonstrations, lecture notes for live coding demonstrations, links to …

NEON data wrangler

Automated retrieval of NEON field and remote sensing data

Detect and delineate tree crowns at scale

Deep Learning crown detection based on RGB imagery

Earth Lab

Geoinformatics workshops hosted by Earth Lab in University of Colorado

Estimating leaf traits from remote sensing

Multiple instance approach to estimate leaf traits from hiperspectral imaging

Estimating tree species from remote sensing

Classical Machine learning approach to identify trees from hiperspectral imaging

NEON Learning Hub

Compilation of tutorials maintained by NEON science

The Carpentries

Introduction to R and Python programming skills for biologists