Crop Monitoring Using Sentinel-2 and UAV Multispectral Imagery: A Comparison Case Study in Northeastern Germany

• Published in: Remote sensing (Basel, Switzerland) Vol. 14; no. 17; p. 4426
• Main Authors: Li, Minhui, Shamshiri, Redmond R., Weltzien, Cornelia, Schirrmann, Michael
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.09.2022
• Subjects: Agricultural management; Agriculture; Agronomy; Barley; Biomass; case studies; Cereal crops; controlled traffic farming (CTF); controlled traffic systems; Crop diseases; Crops; Farmers; georeferencing; Germany; Imagery; Information management; Leaf area; Leaf area index; Leaves; Mathematical analysis; Monitoring; multispectral imagery; Nitrogen; Parameters; Plant growth; plant height; Plants; Plants (botany); Precision agriculture; Remote sensing; River beds; semivariogram; Spatial data; Spatial discrimination; Spatial resolution; Spectral bands; stream channels; Temporal resolution; Unmanned aerial vehicles; Wheat; United States > US; Germany

Monitoring within-field crop variability at fine spatial and temporal resolution can assist farmers in making reliable decisions during their agricultural management; however, it traditionally involves a labor-intensive and time-consuming pointwise manual process. To the best of our knowledge, few s...