2023
DOI: 10.3390/agriculture13081633
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Multi-Year Cereal Crop Classification Model in a Semi-Arid Region Using Sentinel-2 and Landsat 7–8 Data

Manel Khlif,
Maria José Escorihuela,
Aicha Chahbi Bellakanji
et al.

Abstract: This study developed a multi-year classification model for winter cereal in a semi-arid region, the Kairouan area (Tunisia). A random forest classification model was constructed using Sentinel 2 (S2) vegetation indices for a reference agricultural season, 2020/2021. This model was then applied using S2 and Landsat (7 and 8) data for previous seasons from 2011 to 2022 and validated using field observation data. The reference classification model achieved an overall accuracy (OA) of 89.3%. Using S2 data resulted… Show more

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Cited by 2 publications
(2 citation statements)
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“…For instance, in the 2013 scatterplot, an abundance of pixels with low yield but varying WF from 1 to 6 can be observed, indicating the influence of diverse soils and cultural practices. These specific areas identified through this spatial study should undergo closer examination to validate this hypothesis [26,59].…”
Section: Discussionmentioning
confidence: 93%
See 1 more Smart Citation
“…For instance, in the 2013 scatterplot, an abundance of pixels with low yield but varying WF from 1 to 6 can be observed, indicating the influence of diverse soils and cultural practices. These specific areas identified through this spatial study should undergo closer examination to validate this hypothesis [26,59].…”
Section: Discussionmentioning
confidence: 93%
“…The regression model spatialized the grain cereal yield across the entire Kairouan plain using NDVI images for the three agricultural years 2010-2011, 2011-2012, and 2012-2013. The agricultural year 2011/2012, characterized by heavy rains during the cereal vegetative cycle, witnessed a larger number of fields cultivated with cereals [59,60]. A comparison between the 2010-2011 and 2011-2012 seasons reveals that plots abandoned in the first year became productive in the subsequent year due to the abundant rainfall, even though their yields were relatively low.…”
Section: Discussionmentioning
confidence: 99%