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.