Contributor
Satyam Sinha

Data Retriever: Tree health and mortality from NEON data


Mentors
Henry Senyondo, Ethan White, marconiS
Organization
NumFOCUS
Technologies
machine learning, Git/GitHub, Software Testing, Python and Python package deployment
Topics
machine learning
The project aims to build a new function that populates the NEON field and remote sensing data for deepforest which will help us build a baseline classification for tree health status. NEON DATA API provides access to open-access ecological data where neonwranglerpy package helps in retrieving the data, cleaning, and providing a ready format for ecological analysis for researchers. With the help of this project, we will be able to train multi-class classification in deepForest. By this, we will improve the automated alignment of deepForest boxes to NEON individual tree coordinates, provided as stem location.