A Multisource Framework for Reliable Open Urban Tree Species Dataset from Airborne LiDAR and Field Inventory Data

Hamdani, Nada; Abouhat, Imane; Ait El Kadi, Kenza; Bensiali, Saloua; Sebari, Imane

doi:10.5194/isprs-annals-XII-4-W1-2026-195-2026

Articles | Volume XII-4/W1-2026

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Articles | Volume XII-4/W1-2026

https://doi.org/10.5194/isprs-annals-XII-4-W1-2026-195-2026

Articles | Volume XII-4/W1-2026

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28 Sep 2026

| 28 Sep 2026

A Multisource Framework for Reliable Open Urban Tree Species Dataset from Airborne LiDAR and Field Inventory Data

Nada Hamdani, Imane Abouhat, Kenza Ait El Kadi, Saloua Bensiali, and Imane Sebari

Nada Hamdani

Research Unit of Geospatial Technologies for a Smart Decision, Hassan II Institute of Agronomy and Veterinary Medicine, 10101 Rabat, Morocco

Société Topographie Informatique, 91000 Evry Courcouronnes, France

Imane Abouhat

Department of Photogrammetry and Cartography, School of Geomatics and Surveying Engineering. Hassan II Institute of Agronomy and Veterinary Medicine, 10101 Rabat, Morocco

Kenza Ait El Kadi

Research Unit of Geospatial Technologies for a Smart Decision, Hassan II Institute of Agronomy and Veterinary Medicine, 10101 Rabat, Morocco

Department of Photogrammetry and Cartography, School of Geomatics and Surveying Engineering. Hassan II Institute of Agronomy and Veterinary Medicine, 10101 Rabat, Morocco

Saloua Bensiali

Research Unit of Geospatial Technologies for a Smart Decision, Hassan II Institute of Agronomy and Veterinary Medicine, 10101 Rabat, Morocco

Department of Applied Statistics and Computer Science, Hassan II Institute of Agronomy and Veterinary Medicine, 10101 Rabat, Morocco

Imane Sebari

Research Unit of Geospatial Technologies for a Smart Decision, Hassan II Institute of Agronomy and Veterinary Medicine, 10101 Rabat, Morocco

Department of Photogrammetry and Cartography, School of Geomatics and Surveying Engineering. Hassan II Institute of Agronomy and Veterinary Medicine, 10101 Rabat, Morocco

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A Multisource Framework for Reliable Open Urban Tree Species Dataset from Airborne LiDAR and Field Inventory Data

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