WILL IT BLEND? VISUALIZATION AND ACCURACY EVALUATION OF HIGH-RESOLUTION FUZZY VEGETATION MAPS

6 citations as recorded by crossref.

1. Application of airborne hyperspectral data for mapping of invasive alien Spiraea tomentosa L.: a serious threat to peat bog plant communities D. Kopeć et al. https://doi.org/10.1007/s11273-020-09719-y
2. Classification of Expansive Grassland Species in Different Growth Stages Based on Hyperspectral and LiDAR Data A. Marcinkowska-Ochtyra et al. https://doi.org/10.3390/rs10122019
3. Sentinel-2 Enables Nationwide Monitoring of Single Area Payment Scheme and Greening Agricultural Subsidies in Hungary L. Henits et al. https://doi.org/10.3390/rs14163917
4. Remote Sensing of Spatiotemporal Changes in Wetland Geomorphology Based on Type 2 Fuzzy Sets: A Case Study of Beidagang Wetland from 1975 to 2015 H. Huo et al. https://doi.org/10.3390/rs9070683
5. Let your maps be fuzzy!—Class probabilities and floristic gradients as alternatives to crisp mapping for remote sensing of vegetation H. Feilhauer et al. https://doi.org/10.1002/rse2.188
6. Fuzzy approaches provide improved spatial detection of coastal dune EU habitats E. Pafumi et al. https://doi.org/10.1016/j.ecoinf.2025.103059