ππ Paper Synopsis: Top-down Green-ups: Satellite Sensing and Deep Models to Predict Buffelgrass Phenology
An invasive species of grass known as βbuffelgrassβ contributes to severe wildfires and biodiversity loss in the Southwest United States. We tackle the problem of predicting buffelgrass βgreen-upsβ (i.e. readiness for herbicidal treatment). To make our predictions, we explore temporal, visual and multi-modal models that combine satellite sensing and deep learning. We find that all of our neural-based approaches improve over conventional buffelgrass green-up models, and discuss how neural model deployment promises significant resource savings.
November 1st , 2023 by Bin Han