Abstract
Hedgementation = Hedgerow Segmentation: A Remote Sensing Benchmark
- Authors
- Nathan Senyard, Salem Hamdani, Astrid Zhang...
- Categories
- cs.CV, cs.LG
Brief
Hedgementation presents a benchmark for mapping hedgerows from remote sensing at 10 m^2 resolution by harmonizing multiple satellite products with a French hedgerow inventory. The work evaluates three baseline models — supervised and self-supervised — measuring their ability to generalize across spatial distance and climatic zones, and releases reproducible code and baselines. Summary based on the abstract.
Why it matters
Hedgementation is a country-scale hedgerow mapping benchmark at 10 m^2 spatial resolution, produced by harmonizing multiple remote-sensing products with a French hedgerow inventory (Senyard et al., arXiv:2606.23615v1; posted 2026-06-22).
Key details
- The authors evaluate three baseline models (both supervised and self-supervised) for generalization across spatial distance and across climatic zones; code and baseline results are released at https://github.com/hedgementation/hedgementation.