Tag: forestry

Data Science Competition For Cross-Site Delineation And Classification Of Individual Trees From Airborne Remote Sensing Data

Abstract: Delineating and classifying individual trees in remote sensing data is challenging. Many tree crown delineation methods have difficulty in closed-canopy forests and do not leverage multiple datasets. Methods to classify individual species are often accurate for common species, but… Read More

Cross-site learning in deep learning RGB tree crown detection

Abstract: Tree detection is a fundamental task in remote sensing for forestry and ecosystem ecology applications. While many individual tree segmentation algorithms have been proposed, the development and testing of these algorithms is typically site specific, with few methods evaluated… Read More