Winter wheat biomass estimation based on spectral indices, band depth analysis and partial least squares regression using hyperspectral measurements.

Highlights: [•] PLSR of band depth ratio together with optimal NDVI-like estimated biomass best. [•] The PLSR model based on BDR was better than optimal NDVI-like/SAVI-like. [•] The REP got lower estimation accuracy than optimal NDVI-like/SAVI-like. [•] The performance of REP was better than that of NDVI/SAVI. [ABSTRACT FROM AUTHOR]