Better satellite imagery sources for YOLO irrigation pool detection?
Hi,
I’m working on a remote sensing project using a fine-tuned YOLO model to detect irrigation pools from satellite imagery.
Right now I’m using Mapbox, but I’m facing issues with:
- outdated imagery
- low resolution in some regions
- inconsistent quality
This is affecting detection performance (false positives + missed pools).
Does anyone know better satellite/aerial imagery sources that work well for ML pipelines? Ideally something with good resolution, decent freshness, and API access.
Thanks!