An Improved Decision Tree Method for Extracting Litchi Orchards Based on Sentinel-1/2 Data
Litchi cultivation is limited by cloudy and rainy weather as well as remote sensing technology in tropi-cal and subtropical regions,which makes obtaining multi-temporal,and effective hyperspectral and high spatial resolution data to characterize Litchi's phenology difficult.As a result,the extraction of Litchi orchards is hin-dered.In this research,Sentinel-1 time-series microwave data was utilized for constructing a crucial fertility char-acteristic of Litchi.An enhanced methodology for Litchi orchard identification was developed by incorporating Sentinel-2 data.The model was subsequently utilized to identify Litchi orchards in Maoming City.The study re-vealed that the VH polarization properties of mature Litchi distinguish significantly from those of other crops and vegetation.The overall accuracy of spatial distribution mapping in Litchi orchards was 90.34％,and the Kappa co-efficient was 0.84.This method can effectively characterize the key growth stage of litchi,and accurately identify Litchi orchards with similar spectral and spatial characteristics.This study serves as a valuable reference for iden-tifying orchards in the tropics and subtropics.Its significance lies in enabling accurate monitoring of growth,man-aging orchards precisely,and estimating yields.
万方数据
维普
