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Feasibility of Unmanned Aerial Vehicle Optical Imagery for Early Detection and Severity Assessment of Late Blight in Potato.

, , , , и . Remote. Sens., 11 (3): 224 (2019)

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Edmund Bartholomeus Küttner

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Harm Bodemann

Harm Müller

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Characterising Termite Mounds in a Tropical Savanna with UAV Laser Scanning., , , , , , , , и . Remote. Sens., 13 (3): 476 (2021)Feasibility of Unmanned Aerial Vehicle Optical Imagery for Early Detection and Severity Assessment of Late Blight in Potato., , , , и . Remote. Sens., 11 (3): 224 (2019)Prediction of soil properties using imaging spectroscopy: Considering fractional vegetation cover to improve accuracy., , , , , и . Int. J. Appl. Earth Obs. Geoinformation, (2015)Identifying and Quantifying the Abundance of Economically Important Palms in Tropical Moist Forest Using UAV Imagery., , , , , , , и . Remote. Sens., 12 (1): 9 (2020)Mapping the Leaf Economic Spectrum across West African Tropical Forests Using UAV-Acquired Hyperspectral Imagery., , , , , , , , , и 4 other автор(ы). Remote. Sens., 10 (10): 1532 (2018)A Lightweight Hyperspectral Mapping System and Photogrammetric Processing Chain for Unmanned Aerial Vehicles., , , , , , , , , и . Remote. Sens., 6 (11): 11013-11030 (2014)Hyperspectral Reflectance Anisotropy Measurements Using a Pushbroom Spectrometer on an Unmanned Aerial Vehicle - Results for Barley, Winter Wheat, and Potato., , , и . Remote. Sens., 8 (11): 909 (2016)Biomass and Crop Height Estimation of Different Crops Using UAV-Based Lidar., , и . Remote. Sens., 12 (1): 17 (2020)Tree height in tropical forest as measured by different ground, proximal, and remote sensing instruments, and impacts on above ground biomass estimates., , , , , , и . Int. J. Appl. Earth Obs. Geoinformation, (2019)Comparing RIEGL RiCOPTER UAV LiDAR Derived Canopy Height and DBH with Terrestrial LiDAR., , , и . Sensors, 17 (10): 2371 (2017)