NDVI-UNet: A novel approach for improved vegetation segmentation using Sentinel-2 images

Key Points

• Improved vegetation segmentation accuracy indicates the potential of NDVI-UNet for analyzing satellite imagery.
• The NDVI-UNet model achieved a segmentation accuracy of 89% using Sentinel-2 images in a test area.
• Assessment using deep learning techniques transforms how we process and analyze remote sensing data.
• This method highlights the need for further exploration of advanced image processing for ecological studies.