Shrub of a thousand faces: an individual segmentation from satellite images using deep learning

Monitoring the distribution and size structure of long-living shrubs, such as Juniperus communis, can be used to estimate the long-term effects of climate change on high-mountain and high latitude ecosystems. Historical aerial very-high resolution imagery offers a retrospective tool to monitor shrub growth and distribution at high precision. Currently, deep learning models provide impressive results for detecting and delineating the contour of objects with defined shapes. However, adapting these models to detect natural objects that express complex growth patterns, such …

aerial change climate climate change cs.ai cs.cv deep learning distribution ecosystems effects growth images latitude long-term monitoring retrospective satellite satellite images segmentation tool