The influence of surface canopy water on the relationship between L-band backscatter and biophysical variables in agricultural monitoring

• Published in: Remote sensing of environment 2022-01, Vol.268, p.112789, Article 112789
• Main Authors: Khabbazan, S., Steele-Dunne, S.C., Vermunt, P., Judge, J., Vreugdenhil, M., Gao, G.
• Format: Article
• Language: English
• Subjects: Backscattering; Biomass; Canopies; Crop monitoring; Cross ratio; Dew; Interception; Leaf area; Leaf area index; Moisture content; Monitoring; Optical analysis; Optical thickness; Parameters; Radar; Radar backscatter; Retrieval; Soil moisture; Surface water; Vegetation; Vegetation index; Vegetation optical depth (VOD); Water content
• ISSN: 0034-4257; 1879-0704
• DOI: 10.1016/j.rse.2021.112789

•Surface Canopy Water (SCW) affects radar backscatter, cross ratio and RVI.•SCW affects the relations between L-band observables and crop biophysical variables.•SCW has a confounding influence on VOD estimation.•Overpass time and daily patterns in SCW affect the retrieval of crop parameters. The presence of surface water on the canopy affects radar backscatter. However, its influence on the relationship between radar backscatter and crop biophysical parameters has not been investigated. The aim of this study was to quantify the influence of surface canopy water (SCW) on the relationship between L-band radar backscatter and biophysical variables of interest in agricultural monitoring. In this study, we investigated the effect of SCW on the relationship between co- and cross-polarized radar backscatter, cross ratios (VH/VV and HV/HH), and radar vegetation index (RVI) and dry biomass, vegetation water content (VWC), plant height and leaf area index (LAI). In addition, the effect of SCW on estimated vegetation optical depth (VOD) and its relationship with internal VWC was investigated. The analysis was based on data collected during a field experiment in Florida, USA in 2018. A corn field was scanned with a truck-mounted, fully polarimetric, L-band radar along with continuous monitoring of SCW (dew, interception) and soil moisture every 15min for 58 days. In addition, pre-dawn destructive sampling was conducted to measure internal vegetation water content and dry biomass. Results showed that the presence of SCW can increase the radar backscatter up to 2 dB and this effect was lower for cross ratios (CRs) and RVI. The Spearman's rank correlations between radar observables and biophysical parameters were, on average, 0.2 higher for dry vegetation compared to wet vegetation. The estimated VOD from wet vegetation was generally higher than those from dry vegetation, which led to different fitting parameter (so-called b) values in the linear fit between VOD and VWC. The results presented here underscore the importance of considering the influence of SCW on the retrieval of biophysical variables of interest in agricultural monitoring. In particular, they highlight the importance of overpass time, and the impact that daily patterns in dew and interception can have on the retrieval of biophysical variables of interest.