SPECTRAL IMAGING FROM UAVS UNDER VARYING ILLUMINATION CONDITIONS

41 citations as recorded by crossref.

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4. Estimation of vegetation fraction using RGB and multispectral images from UAV M. Marcial-Pablo et al. https://doi.org/10.1080/01431161.2018.1528017
5. Radiometric Correction of Multispectral UAS Images: Evaluating the Accuracy of the Parrot Sequoia Camera and Sunshine Sensor P. Olsson et al. https://doi.org/10.3390/rs13040577
6. 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. https://doi.org/10.1007/s41064-022-00231-x
7. Relative Radiometric Calibration Using Tie Points and Optimal Path Selection for UAV Images J. Shin et al. https://doi.org/10.3390/rs12111726
8. Mapping Crop Leaf Area Index and Canopy Chlorophyll Content Using UAV Multispectral Imagery: Impacts of Illuminations and Distribution of Input Variables W. Li et al. https://doi.org/10.3390/rs15061539
9. Using UAV-Based Photogrammetry and Hyperspectral Imaging for Mapping Bark Beetle Damage at Tree-Level R. Näsi et al. https://doi.org/10.3390/rs71115467
10. Field phenotyping of water stress at tree scale by UAV-sensed imagery: new insights for thermal acquisition and calibration D. Gómez-Candón et al. https://doi.org/10.1007/s11119-016-9449-6
11. Influence of the Sun Position and Platform Orientation on the Quality of Imagery Obtained from Unmanned Aerial Vehicles A. Sekrecka et al. https://doi.org/10.3390/rs12061040
12. Design of Vegetation Index for Identifying the Mosaic Virus in Sugarcane Plantation: A Brazilian Case Study É. Moriya et al. https://doi.org/10.3390/agronomy13061542
13. Illumination Correction of Multi-Time RGB Images Obtained with an Unmanned Aerial Vehicle M. Kataev et al. https://doi.org/10.33383/2020-038
14. Accurate Conversion of Land Surface Reflectance for Drone-Based Multispectral Remote Sensing Images Using a Solar Radiation Component Separation Approach H. Sun et al. https://doi.org/10.3390/s25082604
15. Quantitative Remote Sensing at Ultra-High Resolution with UAV Spectroscopy: A Review of Sensor Technology, Measurement Procedures, and Data Correction Workflows H. Aasen et al. https://doi.org/10.3390/rs10071091
16. Radiometric Correction of Close-Range Spectral Image Blocks Captured Using an Unmanned Aerial Vehicle with a Radiometric Block Adjustment E. Honkavaara & E. Khoramshahi https://doi.org/10.3390/rs10020256
17. Biases in estimated vegetation indices from observations under cloudy conditions K. Wolf et al. https://doi.org/10.5194/bg-22-7797-2025
18. Water resource management at catchment scales using lightweight UAVs: current capabilities and future perspectives L. DeBell et al. https://doi.org/10.1139/juvs-2015-0026
19. Drones in agriculture: A review and bibliometric analysis A. Rejeb et al. https://doi.org/10.1016/j.compag.2022.107017
20. Field Calibration of Hyperspectral Cameras for Terrain Inference N. Hanson et al. https://doi.org/10.1109/LRA.2025.3617735
21. Generating 3D hyperspectral information with lightweight UAV snapshot cameras for vegetation monitoring: From camera calibration to quality assurance H. Aasen et al. https://doi.org/10.1016/j.isprsjprs.2015.08.002
22. Data-Driven Artificial Intelligence for Calibration of Hyperspectral Big Data V. Sagan et al. https://doi.org/10.1109/TGRS.2021.3091409
23. Individual Tree Detection and Classification with UAV-Based Photogrammetric Point Clouds and Hyperspectral Imaging O. Nevalainen et al. https://doi.org/10.3390/rs9030185
24. Evaluation of Incident Light Sensors on Unmanned Aircraft for Calculation of Spectral Reflectance E. Hunt & A. Stern https://doi.org/10.3390/rs11222622
25. Bidirectional Reflectance Distribution Function Modeling Considerations in Small Unmanned Multispectral Systems R. Fischer et al. https://doi.org/10.1109/JSTARS.2022.3171393
26. Assessing Pacific Madrone Blight with UAS Remote Sensing Under Different Skylight Conditions M. Winfield et al. https://doi.org/10.3390/rs17183141
27. Assessing the status of forest regeneration using digital aerial photogrammetry and unmanned aerial systems T. Goodbody et al. https://doi.org/10.1080/01431161.2017.1402387
28. Direct Reflectance Measurements from Drones: Sensor Absolute Radiometric Calibration and System Tests for Forest Reflectance Characterization T. Hakala et al. https://doi.org/10.3390/s18051417
29. 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
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31. Assessing the impact of illumination on UAV pushbroom hyperspectral imagery collected under various cloud cover conditions J. Arroyo-Mora et al. https://doi.org/10.1016/j.rse.2021.112396
32. Drones in urban stormwater management: a review and future perspectives W. McDonald https://doi.org/10.1080/1573062X.2019.1687745
33. Processing and Assessment of Spectrometric, Stereoscopic Imagery Collected Using a Lightweight UAV Spectral Camera for Precision Agriculture E. Honkavaara et al. https://doi.org/10.3390/rs5105006
34. Radiometric block adjustment of hyperspectral image blocks in the Brazilian environment G. Miyoshi et al. https://doi.org/10.1080/01431161.2018.1425570
35. Quality Assessment of the Bidirectional Reflectance Distribution Function for NIR Imagery Sequences from UAV D. Wierzbicki et al. https://doi.org/10.3390/rs10091348
36. Mini-UAV-Borne Hyperspectral Remote Sensing: From Observation and Processing to Applications Y. Zhong et al. https://doi.org/10.1109/MGRS.2018.2867592
37. Remote Sensing of 3-D Geometry and Surface Moisture of a Peat Production Area Using Hyperspectral Frame Cameras in Visible to Short-Wave Infrared Spectral Ranges Onboard a Small Unmanned Airborne Vehicle (UAV) E. Honkavaara et al. https://doi.org/10.1109/TGRS.2016.2565471
38. Radiometric and Atmospheric Corrections of Multispectral μMCA Camera for UAV Spectroscopy R. Minařík et al. https://doi.org/10.3390/rs11202428
39. An Empirical Assessment of Angular Dependency for RedEdge-M in Sloped Terrain Viticulture C. Gong et al. https://doi.org/10.3390/rs11212561
40. UAV-hyperspectral imaging of spectrally complex environments B. Banerjee et al. https://doi.org/10.1080/01431161.2020.1714771
41. Monitoring spring phenology of individual tree crowns using drone‐acquired NDVI data D. Fawcett et al. https://doi.org/10.1002/rse2.184