Integrating Landsat-based textural and statistical features for multi-seasonal land use and land cover mapping at city scale with XGBoost: The City of Settat in Morocco
Authors
Rahim Aguejdad (ORCID: https://orcid.org/0000-0001-6753-5331)
A. Rachid (ORCID: https://orcid.org/0000-0003-1168-5685)
Yassine Harrak
Institutions
Territoires, Environnement, Télédétection et Information Spatiale (FR)
Publication Details
Journal
SPIRE - Sciences Po Institutional REpository
Published
2025-05-14
Primary Topic
Remote Sensing in Agriculture
Type
article
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article
Integrating Landsat-based textural and statistical features for multi-seasonal land use and land cover mapping at city scale with XGBoost: The City of Settat in Morocco
Rahim Aguejdad, A. Rachid, Yassine Harrak
Journal
SPIRE - Sciences Po Institutional REpository
Topics
Remote Sensing in Agriculture
article
Integrating Landsat-based textural and statistical features for multi-seasonal land use and land cover mapping at city scale with XGBoost: The City of Settat in Morocco
Rahim Aguejdad, A. Rachid, Yassine Harrak
article en
Abstract
No abstract available for this paper.
Publication Tag
SPIRE - Sciences Po Institutional REpository
Institutions
Territoires, Environnement, Télédétection et Information Spatiale (FR)
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Integrating Landsat-based textural and statistical features for multi-seasonal land use and land cover mapping at city scale with XGBoost: The City of Settat in Morocco — Rahim Aguejdad, A. Rachid, et al. · SPIRE - Sciences Po Institutional REpository (2025) | TGRS Research Map | TGRS