# Let your maps be fuzzy!—Class probabilities and floristic gradients as alternatives to crisp mapping for remote sensing of vegetation

> Research article (Remote Sensing in Ecology and Conservation, 2020) · cited 48× · AI/ML

**Wikidata**: [openalex:W3109047179](https://www.wikidata.org/wiki/openalex:W3109047179)  
**Source**: https://4ort.xyz/entity/let-your-maps-be-fuzzy-class-probabilities-and-floristic-gradients-as-alternatives-to-crisp-mapping-for-remote-sensing-o
