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Soil Nutrient Estimation and Mapping in Farmland Based on UAV Imaging Spectrometry
2021
Sensors
Soil nutrient is one of the most important properties for improving farmland quality and product. Imaging spectrometry has the potential for rapid acquisition and real-time monitoring of soil characteristics. This study aims to explore the preprocessing and modeling methods of hyperspectral images obtained from an unmanned aerial vehicle (UAV) platform for estimating the soil organic matter (SOM) and soil total nitrogen (STN) in farmland. The results showed that: (1) Multiplicative Scattering
doi:10.3390/s21113919
fatcat:7kfqtsa3s5ac5dsvvlsmmphx3e