Assessment of the potential of sub-diurnal in situ C-band radar data for monitoring maize crop in semi-arid regions

This study aims to investigate the potential of sub-diurnal C-band radar data for maize crop monitoring. To this end, a tower-based experiment equipped with a C-band radar antenna (15-min acquisition interval) was conducted in a maize field in 2021. In situ measurements of soil and vegetation were carried out between September and December 2021. To analyze the radar response to plant water stress, a period of induced stress was implemented around the development peak. Both the temporal coherence ( ρ ) and radar backscattering coefficient ( σ 0 ) are analyzed. The analysis shows that the temporal coherence exhibits a marked daily cycle. More specifically, a morning drop ( Δ|ρ| morning ) was observed prior to the onset of wind. Previous studies on wheat crops and olive orchards have attributed this drop to the onset of the plant's physiological activity at dawn. The daily mean σ 0 values across all three polarizations were strongly correlated with both evapotranspiration (ETR) and evaporative fraction during both the growth and maturity stages ( r > 0.60). This observed correlation is due to structural changes in the canopy as vegetation grows, associated with increased transpiration. Despite significant differences in acquisition configurations between tower-based radar measurements and Sentinel-1, a remarkable overall agreement is observed between both datasets. In contrast to ρ , Sentinel-1 σ 0 detects the water stress period, with a decrease of about 2 dB coinciding with intensifying water stress. These findings emphasize the importance of disentangling physiological drivers from structural indicators when interpreting σ 0 dynamics in relation to plant–water interactions. • We used sub-diurnal radar data to monitor maize in a semi-arid region. • Coherence dropped at dawn, suggesting links with maize physiological activity. • Diurnal backscatter changes were related to maize crop water status. • Backscatter decreased during stress, likely from water deficit and cooling. • Our measurements matched Sentinel-1 coherence (VV,VH) and backscatter, esp. VH.

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Publication Details

Journal
Remote Sensing of Environment
Published
2026-02-18
DOI
https://doi.org/10.1016/j.rse.2026.115304
Primary Topic
Soil Moisture and Remote Sensing
Type
article
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article

Assessment of the potential of sub-diurnal in situ C-band radar data for monitoring maize crop in semi-arid regions

Bénédicte Fruneau, Pascal Fanise, Jamal Ezzahar, Lionel Jarlan et al.
Remote Sensing of Environment
Soil Moisture and Remote Sensing
article

Assessment of the potential of sub-diurnal in situ C-band radar data for monitoring maize crop in semi-arid regions

Bénédicte Fruneau, Pascal Fanise, Jamal Ezzahar, Lionel Jarlan, S. Khabba, Valérie Le Dantec, Nadia Ouaadi, Adnane Chakir, Salah Er‐Raki, Abdelhafid Elallaoui, Ludovic Villard, Zoubair Rafi, Pierre-Louis Frison
article en

Abstract

This study aims to investigate the potential of sub-diurnal C-band radar data for maize crop monitoring. To this end, a tower-based experiment equipped with a C-band radar antenna (15-min acquisition interval) was conducted in a maize field in 2021. In situ measurements of soil and vegetation were carried out between September and December 2021. To analyze the radar response to plant water stress, a period of induced stress was implemented around the development peak. Both the temporal coherence ( ρ ) and radar backscattering coefficient ( σ 0 ) are analyzed. The analysis shows that the temporal coherence exhibits a marked daily cycle. More specifically, a morning drop ( Δ|ρ| morning ) was observed prior to the onset of wind. Previous studies on wheat crops and olive orchards have attributed this drop to the onset of the plant's physiological activity at dawn. The daily mean σ 0 values across all three polarizations were strongly correlated with both evapotranspiration (ETR) and evaporative fraction during both the growth and maturity stages ( r > 0.60). This observed correlation is due to structural changes in the canopy as vegetation grows, associated with increased transpiration. Despite significant differences in acquisition configurations between tower-based radar measurements and Sentinel-1, a remarkable overall agreement is observed between both datasets. In contrast to ρ , Sentinel-1 σ 0 detects the water stress period, with a decrease of about 2 dB coinciding with intensifying water stress. These findings emphasize the importance of disentangling physiological drivers from structural indicators when interpreting σ 0 dynamics in relation to plant–water interactions. • We used sub-diurnal radar data to monitor maize in a semi-arid region. • Coherence dropped at dawn, suggesting links with maize physiological activity. • Diurnal backscatter changes were related to maize crop water status. • Backscatter decreased during stress, likely from water deficit and cooling. • Our measurements matched Sentinel-1 coherence (VV,VH) and backscatter, esp. VH.

Remote Sensing of EnvironmentVol. 336
Cadi Ayyad University (MA), Centre National de la Recherche Scientifique (FR), Université Toulouse III - Paul Sabatier (FR), Université Fédérale de Toulouse Midi-Pyrénées (FR), Centre d'Études Spatiales de la Biosphère (FR), Université Mohammed VI Polytechnique (MA), Université Gustave Eiffel (FR), Institut de Recherche pour le Développement (FR), Saft (France) (FR)
Clean water and sanitation
Openalex Percentile: Top 58%
Soil Moisture and Remote Sensing
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