DRONE DATA ATMOSPHERIC CORRECTION CONCEPT FOR MULTI- AND HYPERSPECTRAL IMAGERY – THE DROACOR MODEL

11 citations as recorded by crossref.

1. Gaussian processes retrieval of crop traits in Google Earth Engine based on Sentinel-2 top-of-atmosphere data J. Estévez et al. 10.1016/j.rse.2022.112958
2. Tradeoffs in the Spatial and Spectral Resolution of Airborne Hyperspectral Imaging Systems: A Crop Identification Case Study J. Jia et al. 10.1109/TGRS.2021.3096999
3. Radiometric calibration of a large-array commodity CMOS multispectral camera for UAV-borne remote sensing X. Zhou et al. 10.1016/j.jag.2022.102968
4. Hyperspectral imaging systems for corrosion detection from remotely operated vehicles D. Thomas & M. Gündel 10.1002/cepa.2132
5. Forage Height and Above-Ground Biomass Estimation by Comparing UAV-Based Multispectral and RGB Imagery H. Wang et al. 10.3390/s24175794
6. High-throughput phenotyping to detect anthocyanins, chlorophylls, and carotenoids in red lettuce germplasm A. Clemente et al. 10.1016/j.jag.2021.102533
7. Machine Learning and Unmanned Aerial Vehicles in Water Quality Monitoring B. Acharya & M. Bhandari 10.1016/j.horiz.2022.100019
8. Unoccupied aerial systems imagery for phenotyping in cotton, maize, soybean, and wheat breeding A. Herr et al. 10.1002/csc2.21028
9. Assessing grapevine water status in a variably irrigated vineyard with NIR/SWIR hyperspectral imaging from UAV E. Laroche-Pinel et al. 10.1007/s11119-024-10170-9
10. 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
11. Limitations of a Multispectral UAV Sensor for Satellite Validation and Mapping Complex Vegetation B. Cottrell et al. 10.3390/rs16132463