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 …
Automated retrieval of NEON field and remote sensing data
Deep Learning crown detection based on RGB imagery
Geoinformatics workshops hosted by Earth Lab in University of Colorado
Multiple instance approach to estimate leaf traits from hiperspectral imaging
Classical Machine learning approach to identify trees from hiperspectral imaging
Compilation of tutorials maintained by NEON science
Introduction to R and Python programming skills for biologists