Crop Identification with Monte Carlo Simulations and Rotation Models from Sentinel-2 Data
This paper builds upon Monte Carlo simulation methods to investigate whether incorporating crop rotation information—encoded as a Markov chain—can improve identification accuracy and concludes that incorporating accurate prior information and crop rotation models noticeably improves crop identification performance.
Andrei Racovițeanu, Ă. Nit, C. Florea et al.
· 0 citations