PROJECT TITLE :
Impact of Diurnal Variation in Vegetation Water Content on Radar Backscatter From Maize During Water Stress
Microwave backscatter from vegetated surfaces is influenced by vegetation structure and vegetation water content (VWC), which varies with meteorological conditions and moisture in the foundation zone. Radar backscatter observations are used for several vegetation and soil moisture monitoring applications below the idea that VWC is constant on short timescales. This research aims to perceive how backscatter over agricultural canopies changes in response to diurnal variations in VWC due to water stress. A commonplace water-cloud model and a 2-layer water-cloud model for maize were used to simulate the influence of the observed variations in bulk/leaf/stalk VWC and soil moisture on the numerous contributions to total backscatter at a range of frequencies, polarizations, and incidence angles. The bulk VWC and leaf VWC were found to vary up to 30% and forty%, respectively, on a diurnal basis during water stress and might have a important effect on radar backscatter. Total backscatter time series are presented to illustrate the simulated diurnal distinction in backscatter for various radar frequencies, polarizations, and incidence angles. Results show that backscatter is very sensitive to variations in VWC throughout water stress, significantly at giant incidence angles and better frequencies. The diurnal variation in total backscatter was dominated by variations in leaf water content, with simulated diurnal variations of up to four dB in X- through $mathrmK_u $-bands (eight.half dozen–thirty five GHz) . This study highlights a possible supply of error in current vegetation and soil monitoring applications and provides insights into the potential use for radar to detect variations in VWC due to water stress.
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