Estimation of crop angle of inclination for lodged wheat using multi-sensor SAR data

Sugandh Chauhan,Roshanak Darvishzadeh,Mirco Boschetti,Andrew Nelson

doi:10.1016/j.rse.2019.111488

Abstract

Lodging - the bending of crop stems - reduces the quantity and quality of cereal crop yields. Early quantification of crop lodging is important to prevent further losses and to facilitate harvesting operations. Crop angle of inclination (CAI) is a quantitative measure of the lodging stage and a component of lodging severity/score. CAI is an important structural parameter for lodged crops and very few studies have investigated its estimation using satellite-based remote sensing. In this study, the performance of Sentinel-1 and multi-incidence angle (FQ8-27° and FQ21-41°) RADARSAT-2 data were investigated for estimating CAI. Temporal crop biophysical/structural parameters (CAI and crop height) and meteorological data (rainfall and wind speed) were collected throughout May 1-June 30, 2018 in a very large commercial farm located in Jolanda di Savoia, Ferrara, Italy. Field data were grouped into different crop lodging stages (non-lodged/healthy (H), moderate lodging (ML), severe lodging (SL) and very severe lodging (VSL)) based on CAI. Quantitative relationships were established between field-measured CAI values and the RS-derived metrics for Sentinel-1 and RADARSAT-2 timeseries using support vector regression (SVR) models. The RADARSAT-2 FQ8 model performed most robustly with a R2CV (cross-validated R2) of 0.87 and a RMSECV (cross-validated RMSE) of 8.89° while the performance of the Sentinel-1 and RADARSAT-2 FQ21 models were comparable with an RMSECV of 11.35° and 11.63° respectively. Low incidence angle data were particularly sensitive to high CAI values (VSL) while high incidence angle data were useful for predicting lower CAI (ML and SL). While the RADARSAT-2 FQ-8 model outperformed the other two, the Sentinel-1 model still explained 78% of the CAI variability in the study site, which is important in the context of operational crop lodging stage assessment. This is the first study to demonstrate the utility of SAR remote sensing data for estimating CAI as a measure of the lodging stage and a component of lodging severity.

Highlights

Crop lodging is the permanent bending of plant stems from the vertical or displacement of the root anchorage, causing destruction of canopy structure, degradation of grain quality, slowed harvest, increased drying costs and severe yield reductions (Berry et al, 2004; Pinthus, 1974)
The findings revealed that low incidence angle data is sensitive to high crop angle of inclination (CAI) (> 60°) while high incidence angle can be useful for predicting lower CAI values (Fig. 8b and c)
We introduced a new method to assess crop lodging stages based on the crop angle of inclination (CAI) derived from S-1 and RADARSAT-2 data

Summary

Introduction

Crop lodging is the permanent bending of plant stems from the vertical or displacement of the root anchorage, causing destruction of canopy structure, degradation of grain quality, slowed harvest, increased drying costs and severe yield reductions (up to 80%) (Berry et al, 2004; Pinthus, 1974). Plant physiologists and agronomists have studied crop lodging intensively (Baker et al, 1998; Easson et al, 1993; van Delden et al, 2010; Wu and Ma, 2016; Lang et al, 2012) but the scope is mainly limited to breeding trials (i.e. producing lodging resistant varieties) and agronomic management (i.e. agronomic practices that can reduce lodging risk) The results of these studies, as reviewed by Chauhan et al (2019) show that three main factors control the severity of lodging and govern the extent of yield loss - the time of its occurrence (crop growth stage), the spatial extent of lodging, and the lodging angle or crop angle of inclination (CAI). CAI is, an important metric to describe the physical structure of a lodged crop or the lodging stage (an index based on CAI-moderate, severe or very severe)

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