Low-cost drones help measure tree characteristics in the Sahelian savanna

Bossoukpe Marina, Faye Emile, Ndiaye Ousmane, Diatta S., Diatta Ousmane, Diouf A., Dendoncker Morgane, Assouma Mohamed Habibou, Taugourdeau Simon. 2021. Low-cost drones help measure tree characteristics in the Sahelian savanna. Journal of Arid Environments, 187:104449, 8 p.

Journal article ; Article de recherche ; Article de revue à facteur d'impact
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Liste HCERES des revues (en SHS) : oui

Thème(s) HCERES des revues (en SHS) : Géographie-Aménagement-Urbanisme-Architecture

Abstract : Savanna is one of the main African ecosystems. The tree community in the savanna is a key element and provides many ecosystem services. Unmanned aerial vehicles (UAVs) combined with photogrammetric analysis are useful tools to produce accurate 3D maps, which, in turn, help describe the structure of the tree populations. The purpose of this study was to evaluate the use of commercial economical UAVs to assess tree characteristics in the savanna. A Dji Spark UAV was used to map 24 1-ha plots in northern Senegal. The images were processed using Pix4D software to produce a high-resolution canopy height model (CHM). A total of 239 trees were selected and their heights and crown areas were manually measured in the field. A strong correlation was found between UAV and field measurements with R2 = 0.84 for height and R2 = 0.93 for crown area. Based on tree canopy colours and tree morphologies measured by UAV, it was possible to predict tree species with an error rate of 20%, using a random forest classification. This study thus confirms the possibility of using low-cost UAVs to assess tree structures in the savanna not only for research on tree communities in savanna, but also by forestry agencies to inform stakeholders.

Mots-clés Agrovoc : Dendrométrie, Savane, unmanned aerial vehicles [EN], Photogrammétrie, Cartographie, Classe de hauteur (en foresterie), peuplement forestier, Morphologie végétale

Mots-clés géographiques Agrovoc : Sénégal, Sahel

Mots-clés libres : Uav, Trees, Drone, Photogrammétrie

Classification Agris : K10 - Forestry production
N20 - Agricultural machinery and equipment
K01 - Forestry - General aspects

Champ stratégique Cirad : CTS 7 (2019-) - Hors champs stratégiques

Auteurs et affiliations

  • Bossoukpe Marina, UCAD (SEN)
  • Faye Emile, CIRAD-PERSYST-UPR HortSys (FRA) ORCID: 0000-0001-7764-3256
  • Ndiaye Ousmane, UCAD (SEN)
  • Diatta S., UCAD (SEN)
  • Diatta Ousmane, ISRA (SEN)
  • Diouf A., ISRA (SEN)
  • Dendoncker Morgane, UCL (BEL)
  • Assouma Mohamed Habibou, CIRAD-ES-UMR SELMET (FRA) ORCID: 0000-0002-8163-0340
  • Taugourdeau Simon, CIRAD-ES-UMR SELMET (SEN) ORCID: 0000-0001-6561-3228 - auteur correspondant

Source : Cirad-Agritrop (

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