https://doi.org/10.1080/10106049.2023.2245371

ABSTRACT : 

This study is aimed to evaluate the utility of Sentinel-2 imagery for monitoring exogenous organic matter (EOM) applied on winter wheat crop, using two spatial scales: proximal and satellite. From proximal sensing, multi-temporal spectral field measurements were taken on experimental fields consisting of three treatments (cattle slurry, liquid and raw digestates) and a control throughout 46days. From Sentinel-2 satellites, images were analysed before and after EOM application. For both sensing scales, EOM and vegetation indices were used. On any scale of observation, the digestates spread on emerging wheat were easily detectable in late winter, in contrast to spring spreading events which were hindered by the developed vegetation. The agglomerative hierarchical clustering from the EOM indices divided by EVI achieved to discriminate digestates at early and medium stages of vegetation growth. Our findings did not apply for cattle slurry, presumably because of both lower organic and dry matter contents.

HIGHLIGHTS : 

• Digestates spread on emerging wheat are detectable in late winter.
• Developed vegetation constrains the detection of spring spreading events.
• Spectral measurements did not separate the field with cattle slurry and the control.
• The visible to near infrared bands are the most impacted after digestate spreading.

KEYWORDS : Remote sensing; exogenous organic matter; spectral measurement; organic fertilizer; winter wheat