Unmanned Aerial Vehicle (UAV) and Spectral Datasets in South Africa for Precision Agriculture

Remote sensing data play a crucial role in precision agriculture and natural resource monitoring. The use of unmanned aerial vehicles (UAVs) can provide solutions to challenges faced by farmers managers due its high spatial resolution flexibility compared satellite remote sensing. This paper presents UAV spectral datasets collected from different provinces South Africa, covering crops at the farm level as well resources. consist five multispectral bands corrected for atmospheric effects using PIX4D mapper software produce surface reflectance images. are filtered Savitzky–Golay filter, Multiplicative Scatter Correction (MSC). first second derivatives Continuous Wavelet Transform (CWT) spectra also calculated. These baseline information developing challenges. For example, crop fields captured temporal resolutions contribute towards calibrating images, thus improving accuracy derived products.