Herber, S., Mikita, T., Patočka, Z., & Žižlavská, N. (2026). Evaluation of Global and High-Resolution Canopy Height Models for Forest Monitoring and Disturbance Detection: From GEDI Footprint to Deep Learning High-Resolution Mapping. Remote Sensing, 18(11), 1851. https://doi.org/10.3390/rs18111851
Chicago Style (17th ed.) CitationHerber, Stanislav, Tomáš Mikita, Zdeněk Patočka, and Nikola Žižlavská. "Evaluation of Global and High-Resolution Canopy Height Models for Forest Monitoring and Disturbance Detection: From GEDI Footprint to Deep Learning High-Resolution Mapping." Remote Sensing 18, no. 11 (2026): 1851. https://doi.org/10.3390/rs18111851.
MLA (9th ed.) CitationHerber, Stanislav, et al. "Evaluation of Global and High-Resolution Canopy Height Models for Forest Monitoring and Disturbance Detection: From GEDI Footprint to Deep Learning High-Resolution Mapping." Remote Sensing, vol. 18, no. 11, 2026, p. 1851, https://doi.org/10.3390/rs18111851.