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CARTOGRAPHIE DES CULTURES DANS LE PÉRIMÈTRE DU LOUKKOS (MAROC) : APPORT DE LA TÉLÉDÉTECTION RADAR ET OPTIQUE.
- Source :
-
Revue Francaise de Photogrammetrie et de Teledetection . 2020, Issue 222, p15-29. 15p. - Publication Year :
- 2020
-
Abstract
- In this article, we analyze the possibility to improve the classification of crops in an irrigated area of northern Morocco based on the combination of the multi-temporal data of two satellites (Sentinel-1 and Sentinel-2) with the inclusion of nine indices. The area concerned (Loukkos), in addition to its strategic position, is characterized by a Mediterranean climate with a strong ecological value. It presents an intense agricultural activity with a great diversity of cultures whose functioning could be affected by climate change. To quantify water requirements, we used the series of satellite images acquired during 09/2017 to 08/2018. Maps produced for three classification levels illustrate our approach. The study showed that the 10 optical channels, at 10 and 20 m spatial resolution, of the data acquired by Sentinel-2 provide good performance, with a kappa index > 85% for all (sub)classes and an overall accuracy > 86%. These performances are superior to those obtained with radar data acquired by Sentinel-1, with F-score deviations of 9% lower on average, and up to 29% (on cork oak/SSC level). Neither the addition of optical radiometric indices, nor the optical and radar combination data provide a significant improvement in performance obtained with Sentinel-2 data. In order to exploit the data obtained, future work would focus on studying the temporal profiles of each type of crop. [ABSTRACT FROM AUTHOR]
- Subjects :
- *RANDOM forest algorithms
*CROPS
*CLASSIFICATION
Subjects
Details
- Language :
- French
- ISSN :
- 17689791
- Issue :
- 222
- Database :
- Academic Search Index
- Journal :
- Revue Francaise de Photogrammetrie et de Teledetection
- Publication Type :
- Academic Journal
- Accession number :
- 174449859
- Full Text :
- https://doi.org/10.52638/rfpt.2020.481