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Comparing methods for mapping canopy chlorophyll content in a mixed mountain forest using Sentinel-2 data
2020
International Journal of Applied Earth Observation and Geoinformation
A B S T R A C T The Sentinel-2 Multi-Spectral Imager (MSI) has three spectral bands centered at 705, 740, and 783 nm wavelengths that exploit the red-edge information useful for quantifying plant biochemical traits. This sensor configuration is expected to improve the prediction accuracy of vegetation chlorophyll content. In this work, we assessed the performance of several statistical and physical-based methods in retrieving canopy chlorophyll content (CCC) from Sentinel-2 in a heterogeneous
doi:10.1016/j.jag.2019.102037
fatcat:bnbw2cknqna4lhqhmkvtnialzm