The study was carried out in Cesis Municipality in Latvia using airborne flying laboratory ARSENAL – the constellation of hyperspectral imagers in the visible to mid-wave infrared (400-5000 nm) spectral range, topographic LiDAR and high-resolution RGB camera for simultaneous multi-sensor data acquisition. Hyperspectral data were used for both mapping of grasslands and assessment of grass biomass. Different spectral ranges and machine learning algorithms were tested in order to find the best one. The performance of Sentinel-2 like spectral bands also was tested for further possible further use of multispectral satellite data. |
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