SPECTRAL IMAGING FROM UAVS UNDER VARYING ILLUMINATION CONDITIONS

37 citations as recorded by crossref.

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5. Calibration and Validation from Ground to Airborne and Satellite Level: Joint Application of Time-Synchronous Field Spectroscopy, Drone, Aircraft and Sentinel-2 Imaging P. Naethe et al. 10.1007/s41064-022-00231-x
6. Relative Radiometric Calibration Using Tie Points and Optimal Path Selection for UAV Images J. Shin et al. 10.3390/rs12111726
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8. Using UAV-Based Photogrammetry and Hyperspectral Imaging for Mapping Bark Beetle Damage at Tree-Level R. Näsi et al. 10.3390/rs71115467
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21. Evaluation of Incident Light Sensors on Unmanned Aircraft for Calculation of Spectral Reflectance E. Hunt & A. Stern 10.3390/rs11222622
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24. Direct Reflectance Measurements from Drones: Sensor Absolute Radiometric Calibration and System Tests for Forest Reflectance Characterization T. Hakala et al. 10.3390/s18051417
25. Impact of the reproductive organs on crop BRDF as observed from a UAV W. Li et al. 10.1016/j.rse.2021.112433
26. Mapping Mosaic Virus in Sugarcane Based on Hyperspectral Images E. Moriya et al. 10.1109/JSTARS.2016.2635482
27. Assessing the impact of illumination on UAV pushbroom hyperspectral imagery collected under various cloud cover conditions J. Arroyo-Mora et al. 10.1016/j.rse.2021.112396
28. Drones in urban stormwater management: a review and future perspectives W. McDonald 10.1080/1573062X.2019.1687745
29. Processing and Assessment of Spectrometric, Stereoscopic Imagery Collected Using a Lightweight UAV Spectral Camera for Precision Agriculture E. Honkavaara et al. 10.3390/rs5105006
30. Radiometric block adjustment of hyperspectral image blocks in the Brazilian environment G. Miyoshi et al. 10.1080/01431161.2018.1425570
31. Quality Assessment of the Bidirectional Reflectance Distribution Function for NIR Imagery Sequences from UAV D. Wierzbicki et al. 10.3390/rs10091348
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36. Monitoring spring phenology of individual tree crowns using drone‐acquired NDVI data D. Fawcett et al. 10.1002/rse2.184
37. Recent Advances in Unmanned Aerial Vehicle Forest Remote Sensing—A Systematic Review. Part I: A General Framework R. Dainelli et al. 10.3390/f12030327