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Assessment of the benefit of a single sentinel-2 satellite image to small crop parcels mapping.

El Hachimi, Jaouad ORCID logoORCID: https://orcid.org/0000-0003-3940-059X; El Harti, Abderrazak; Ouzemou, Jamal-Eddine; Lhissou, Rachid; Chakouri, Mohcine et Jellouli, Amine (2022). Assessment of the benefit of a single sentinel-2 satellite image to small crop parcels mapping. Geocarto International , vol. 37 , nº 25. pp. 7398-7414. DOI: 10.1080/10106049.2021.1974955.

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Résumé

The present study demonstrates the feasibility of producing crop type maps using a single high spatial resolution image from Sentinel-2A (S-2A). Our main objectives focus on the evaluation of the potential of S-2A data for crop mapping in the Tadla Plain and the determination of the most suitable period for discriminating different crops using a single S-2A image. In order to achieve these objectives, we have acquired a set of seven images of the S-2A and twelve vegetation indices. Then, we produced crop type maps at a spatial resolution of 10 m using (SVM) and (RF) classifiers for each image. The accuracy and performance of classification were assessed using field data. The optimal period for mapping was done during March with an overall accuracy and kappa coefficient of 91.49%, 0.90 respectively. The results show that a single S-2A image should be sufficient for the discrimination of different crops.

Type de document: Article
Mots-clés libres: remote sensing; Sentinel 2; crop type mapping; SVM; random forest
Centre: Centre Eau Terre Environnement
Date de dépôt: 09 juill. 2024 15:43
Dernière modification: 09 juill. 2024 15:43
URI: https://espace.inrs.ca/id/eprint/15337

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