Assessing interactions between crop biophysical parameters and X-band backscattering using empirical data and model sensitivity analysis
preprint
posted on 2021-10-21, 02:38 authored by Giacomo Fontanelli, Francesco Montomoli, Ramion Azar, Giovanni Macelloni, Paolo VillaPaolo VillaActive microwave
remote sensing data at different frequencies can provide crucial information on
crop morphology and conditions, thus effectively supporting agronomic
management at different scales. In this work,
we used variance-based global sensitivity analysis (GSA) as a quantitative
framework for investigating the sensitivity of X-band backscattering to
agronomic and morphological features typical of two different crops, maize and
rice. To this end, we jointly exploited empirical data on crop status and
growth, high-resolution TerraSAR-X data, and microwave radiative transfer model
(RTM) simulations. Phenology-informed simulations allowed us to quantify the
contributions of different scattering mechanisms for the two crops under
varying observation setups, to assess the sensitivity of X-band backscattering
to morpho-structural crop biophysical parameters (and their interactions), and
to evaluate the effects of crop biomass on backscatter across growth stages.
History
Email Address of Submitting Author
villa.p@irea.cnr.itORCID of Submitting Author
0000-0002-6952-836XSubmitting Author's Institution
CNR-IREASubmitting Author's Country
- Italy