Mapping of wheat lodging susceptibility with synthetic aperture radar data

Crop lodging reduces yield quantity and grain quality of cereal crops. Understanding seasonal variation in crop lodging susceptibility enables lodging risk assessments and predictions of associated crop yield losses. We demonstrate a novel remote sensing-based approach, using sparse field observations and widely available synthetic aperture radar (SAR) satellite imagery, to map a safety factor against root lodging (SFA) in wheat. SFA quantifies the ability of the rooting system to support the self-weight moment of the whole plant and can be used as an indicator of in-season root lodging susceptibility. SAR satellite images, from Sentinel-1 and RADARSAT-2, were acquired synchronously with field measurements in Jolanda di Savoia, Ferrara, Italy during the 2018 winter wheat growing season. The field data included measurements from non-lodged (healthy) wheat such as plant height, height at the centre of gravity, self-weight moment of the whole plant, soil anchorage strength, SFA and those from lodged wheat such as crop angle of inclination, lodged area and the point of plant failure (stem or root). Field measurements confirmed that SFA decreased progressively through the season and was consistent with the observed lodging. Strong and significant correlations through the season were observed between SFA and SAR satellite image metrics. The validated regression models showed a strong relationship between field-measured SFA and the metrics from RADARSAT-2 (R2CV = 0.84, RMSECV = 0.54) and Sentinel-1 data (R2CV = 0.73, RMSECV = 0.59). However, it is possible that the relationship between SFA and SAR parameters is confounded by the variations in crop biomass, which is highly correlated with SFA (r = −0.71, p < 0.0001). Our study, for the first time, demonstrates the use of remote sensing SAR data for lodging susceptibility assessment. Current and planned satellite platforms have the potential for large scale, operational assessment of lodging susceptibility in cereal crops.

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Main Authors: Chauhan, Sugandh, Darvishzadeh, Roshanak, van Delden, Sander H., Boschetti, Mirco, Nelson, Andrew
Format: Article/Letter to editor biblioteca
Language:English
Subjects:Lodging susceptibility, RADARSAT-2, Remote sensing, SAR, Safety factor, Sentinel-1, Wheat,
Online Access:https://research.wur.nl/en/publications/mapping-of-wheat-lodging-susceptibility-with-synthetic-aperture-r
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spelling dig-wur-nl-wurpubs-5818372024-12-04 Chauhan, Sugandh Darvishzadeh, Roshanak van Delden, Sander H. Boschetti, Mirco Nelson, Andrew Article/Letter to editor Remote Sensing of Environment 259 (2021) ISSN: 0034-4257 Mapping of wheat lodging susceptibility with synthetic aperture radar data 2021 Crop lodging reduces yield quantity and grain quality of cereal crops. Understanding seasonal variation in crop lodging susceptibility enables lodging risk assessments and predictions of associated crop yield losses. We demonstrate a novel remote sensing-based approach, using sparse field observations and widely available synthetic aperture radar (SAR) satellite imagery, to map a safety factor against root lodging (SFA) in wheat. SFA quantifies the ability of the rooting system to support the self-weight moment of the whole plant and can be used as an indicator of in-season root lodging susceptibility. SAR satellite images, from Sentinel-1 and RADARSAT-2, were acquired synchronously with field measurements in Jolanda di Savoia, Ferrara, Italy during the 2018 winter wheat growing season. The field data included measurements from non-lodged (healthy) wheat such as plant height, height at the centre of gravity, self-weight moment of the whole plant, soil anchorage strength, SFA and those from lodged wheat such as crop angle of inclination, lodged area and the point of plant failure (stem or root). Field measurements confirmed that SFA decreased progressively through the season and was consistent with the observed lodging. Strong and significant correlations through the season were observed between SFA and SAR satellite image metrics. The validated regression models showed a strong relationship between field-measured SFA and the metrics from RADARSAT-2 (R2CV = 0.84, RMSECV = 0.54) and Sentinel-1 data (R2CV = 0.73, RMSECV = 0.59). However, it is possible that the relationship between SFA and SAR parameters is confounded by the variations in crop biomass, which is highly correlated with SFA (r = −0.71, p < 0.0001). Our study, for the first time, demonstrates the use of remote sensing SAR data for lodging susceptibility assessment. Current and planned satellite platforms have the potential for large scale, operational assessment of lodging susceptibility in cereal crops. en application/pdf https://research.wur.nl/en/publications/mapping-of-wheat-lodging-susceptibility-with-synthetic-aperture-r 10.1016/j.rse.2021.112427 https://edepot.wur.nl/545859 Lodging susceptibility RADARSAT-2 Remote sensing SAR Safety factor Sentinel-1 Wheat https://creativecommons.org/licenses/by/4.0/ https://creativecommons.org/licenses/by/4.0/ Wageningen University & Research
institution WUR NL
collection DSpace
country Países bajos
countrycode NL
component Bibliográfico
access En linea
databasecode dig-wur-nl
tag biblioteca
region Europa del Oeste
libraryname WUR Library Netherlands
language English
topic Lodging susceptibility
RADARSAT-2
Remote sensing
SAR
Safety factor
Sentinel-1
Wheat
Lodging susceptibility
RADARSAT-2
Remote sensing
SAR
Safety factor
Sentinel-1
Wheat
spellingShingle Lodging susceptibility
RADARSAT-2
Remote sensing
SAR
Safety factor
Sentinel-1
Wheat
Lodging susceptibility
RADARSAT-2
Remote sensing
SAR
Safety factor
Sentinel-1
Wheat
Chauhan, Sugandh
Darvishzadeh, Roshanak
van Delden, Sander H.
Boschetti, Mirco
Nelson, Andrew
Mapping of wheat lodging susceptibility with synthetic aperture radar data
description Crop lodging reduces yield quantity and grain quality of cereal crops. Understanding seasonal variation in crop lodging susceptibility enables lodging risk assessments and predictions of associated crop yield losses. We demonstrate a novel remote sensing-based approach, using sparse field observations and widely available synthetic aperture radar (SAR) satellite imagery, to map a safety factor against root lodging (SFA) in wheat. SFA quantifies the ability of the rooting system to support the self-weight moment of the whole plant and can be used as an indicator of in-season root lodging susceptibility. SAR satellite images, from Sentinel-1 and RADARSAT-2, were acquired synchronously with field measurements in Jolanda di Savoia, Ferrara, Italy during the 2018 winter wheat growing season. The field data included measurements from non-lodged (healthy) wheat such as plant height, height at the centre of gravity, self-weight moment of the whole plant, soil anchorage strength, SFA and those from lodged wheat such as crop angle of inclination, lodged area and the point of plant failure (stem or root). Field measurements confirmed that SFA decreased progressively through the season and was consistent with the observed lodging. Strong and significant correlations through the season were observed between SFA and SAR satellite image metrics. The validated regression models showed a strong relationship between field-measured SFA and the metrics from RADARSAT-2 (R2CV = 0.84, RMSECV = 0.54) and Sentinel-1 data (R2CV = 0.73, RMSECV = 0.59). However, it is possible that the relationship between SFA and SAR parameters is confounded by the variations in crop biomass, which is highly correlated with SFA (r = −0.71, p < 0.0001). Our study, for the first time, demonstrates the use of remote sensing SAR data for lodging susceptibility assessment. Current and planned satellite platforms have the potential for large scale, operational assessment of lodging susceptibility in cereal crops.
format Article/Letter to editor
topic_facet Lodging susceptibility
RADARSAT-2
Remote sensing
SAR
Safety factor
Sentinel-1
Wheat
author Chauhan, Sugandh
Darvishzadeh, Roshanak
van Delden, Sander H.
Boschetti, Mirco
Nelson, Andrew
author_facet Chauhan, Sugandh
Darvishzadeh, Roshanak
van Delden, Sander H.
Boschetti, Mirco
Nelson, Andrew
author_sort Chauhan, Sugandh
title Mapping of wheat lodging susceptibility with synthetic aperture radar data
title_short Mapping of wheat lodging susceptibility with synthetic aperture radar data
title_full Mapping of wheat lodging susceptibility with synthetic aperture radar data
title_fullStr Mapping of wheat lodging susceptibility with synthetic aperture radar data
title_full_unstemmed Mapping of wheat lodging susceptibility with synthetic aperture radar data
title_sort mapping of wheat lodging susceptibility with synthetic aperture radar data
url https://research.wur.nl/en/publications/mapping-of-wheat-lodging-susceptibility-with-synthetic-aperture-r
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