High-resolution multispectral and RGB dataset from UAV surveys of ten cocoa agroforestry typologies in Côte d'Ivoire

Lammoglia Sabine Karen Djidemi, Akpa Lucette, Danumah Jean Homian, Assoua Brou Yves Laurent, N'Dja Kassi Justin. 2024. High-resolution multispectral and RGB dataset from UAV surveys of ten cocoa agroforestry typologies in Côte d'Ivoire. Data in Brief, 55:110664, 7 p.

Url - jeu de données - Dataverse Cirad : https://doi.org/10.18167/DVN1/MK2ZRG

Résumé : This paper introduces a dataset of aerial imagery captured during the 2022 cocoa growing season in the central-western region of Côte d'Ivoire. The images were acquired using a multispectral camera mounted on a DJI Phantom 4 unmanned aerial vehicle (UAV). The agricultural land surveyed encompasses 10 different types of cocoa-based agroforestry systems, each ranging from 2.6ha to 8.3ha, totaling 7638 images and covering 30ha. The UAV mission was conducted at an altitude of 80 meters, with a side overlap of 70% and a front overlap of 80%. This configuration achieved ground sampling distances (GSD) ranging from 4.2 to 4.6 cm providing high-resolution detailed imagery of those lands. These high-resolution RGB and multispectral images can be used to characterize the structural complexity of the systems as well as the abundance, and the health of the trees in these cocoa-based systems. It can be a valuable resource for researchers in the fields of ecology, agriculture, and environmental monitoring. The dataset supports a wide range of applications, from precision agriculture to sustainable cocoa land use management, making it a pivotal tool for enhancing agricultural practices and ecosystem management in Ivorian regions facing environmental and economic challenges.

Mots-clés Agrovoc : agroforesterie, imagerie multispectrale, relevé aérien, typologie des exploitations agricoles, déboisement, Theobroma cacao, biodiversité, imagerie par satellite, systèmes agroforestiers, drone, imagerie

Mots-clés géographiques Agrovoc : Côte d'Ivoire

Mots-clés libres : Drone, Multispectral Imagery, Photogrammetry, Remote Sensing, Theobroma cacao, Unmanned Aerial Vehicles, Precision agriculture, Agroforestry systems

Classification Agris : U30 - Méthodes de recherche
F08 - Systèmes et modes de culture

Champ stratégique Cirad : CTS 5 (2019-) - Territoires

Agences de financement européennes : European DeSIRA Initiative

Agences de financement hors UE : Agence Française de Développement

Projets sur financement : (CIV) Cocoa4Future, (EU) Development Smart Innovation through Research in Agriculture

Auteurs et affiliations

• Lammoglia Sabine Karen Djidemi, CIRAD-PERSYST-UMR ABSys (CIV) ORCID: 0000-0002-8807-2791 - auteur correspondant
• Akpa Lucette, UFHB (CIV)
• Danumah Jean Homian, UFHB (CIV)
• Assoua Brou Yves Laurent, UFHB (CIV)
• N'Dja Kassi Justin, UFHB (CIV)

Source : Cirad-Agritrop (https://agritrop.cirad.fr/609574/)

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