UAV BASED BRDF-MEASUREMENTS OF AGRICULTURAL SURFACES WITH PFIFFIKUS

9 citations as recorded by crossref.

1. Technical notes: A detailed study for the provision of measurement uncertainty and traceability for goniospectrometers J. Peltoniemi et al. https://doi.org/10.1016/j.jqsrt.2014.04.011
2. Unmanned aerial systems for photogrammetry and remote sensing: A review I. Colomina & P. Molina https://doi.org/10.1016/j.isprsjprs.2014.02.013
3. A field UAV system (FUAS) with dual spectrometers for BRDF measurement X. Hu et al. https://doi.org/10.1080/01431161.2025.2562603
4. Impact of the reproductive organs on crop BRDF as observed from a UAV W. Li et al. https://doi.org/10.1016/j.rse.2021.112433
5. Accuracy evaluation of reflectance, normalized difference vegetation index, and normalized difference water index using corrected unmanned aerial vehicle multispectral images by bidirectional reflectance distribution function and solar irradiance C. Jin et al. https://doi.org/10.1117/1.JRS.17.044512
6. Retrieving BRDFs from UAV-based radiometers for fiducial reference measurements: caveats and recommendations S. Schunke et al. https://doi.org/10.3389/frsen.2023.1285800
7. Digital topographic mapping and modelling using low altitude unmanned aerial vehicle B. Nwilag et al. https://doi.org/10.1007/s40808-022-01677-z
8. A screening approach for the correction of distortion in UAV data for coral community mapping M. Mohamad et al. https://doi.org/10.1080/10106049.2021.1958066
9. The Spatial Dimension of COVID-19: The Potential of Earth Observation Data in Support of Slum Communities with Evidence from Brazil P. Brito et al. https://doi.org/10.3390/ijgi9090557