Estimating herbaceous aboveground biomass in Sahelian rangelands using Structure from Motion data collected on the ground and by UAV

Taugourdeau Simon, Diédhiou Antoine, Fassinou Cofélas, Bossoukpe Marina, Diatta Ousmane, N'Goran Ange, Audebert Alain, Ndiaye Ousmane, Diouf Abdoul Aziz, Tagesson Torbern, Fensholt Rasmus, Faye Emile. 2022. Estimating herbaceous aboveground biomass in Sahelian rangelands using Structure from Motion data collected on the ground and by UAV. Ecology and Evolution, 12 (5):e8867, 17 p.

Url - jeu de données - Entrepôt autre : https://doi.org/10.5281/zenodo.6421543 / Url - jeu de données - Entrepôt autre : https://doi.org/10.5281/zenodo.5148337 / Url - jeu de données - Entrepôt autre : https://doi.org/10.5281/zenodo.5145395

Résumé : Herbaceous aboveground biomass (HAB) is a key indicator of grassland vegetation and indirect estimation tools, such as remote sensing imagery, increase the potential for covering larger areas in a timely and cost-efficient way. Structure from Motion (SfM) is an image analysis process that can create a variety of 3D spatial models as well as 2D orthomosaics from a set of images. Computed from Unmanned Aerial Vehicle (UAV) and ground camera measurements, the SfM potential to estimate the herbaceous aboveground biomass in Sahelian rangelands was tested in this study. Both UAV and ground camera recordings were used at three different scales: temporal, landscape, and national (across Senegal). All images were processed using PIX4D software (photogrammetry software) and were used to extract vegetation indices and heights. A random forest algorithm was used to estimate the HAB and the average estimation errors were around 150 g m−² for fresh mass (20% relative error) and 60 g m−² for dry mass (around 25% error). A comparison between different datasets revealed that the estimates based on camera data were slightly more accurate than those from UAV data. It was also found that combining datasets across scales for the same type of tool (UAV or camera) could be a useful option for monitoring HAB in Sahelian rangelands or in other grassy ecosystems.

Mots-clés Agrovoc : parcours, biomasse, plante herbacée, photogrammétrie, photographie aérienne, drone, savane

Mots-clés géographiques Agrovoc : Sénégal, Sahel

Mots-clés complémentaires : arid rangelands (en)

Mots-clés libres : UAV, Photogrammétrie, Drone, Sénégal

Classification Agris : P01 - Conservation de la nature et ressources foncières
F40 - Écologie végétale
U30 - Méthodes de recherche

Champ stratégique Cirad : CTS 1 (2019-) - Biodiversité

Agences de financement européennes : European Commission

Agences de financement hors UE : Agence Nationale de la Recherche, Svenska Forskningsrådet Formas, Swedish National Space Agency

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

Auteurs et affiliations

• Taugourdeau Simon, CIRAD-ES-UMR SELMET (SEN) ORCID: 0000-0001-6561-3228 - auteur correspondant
• Diédhiou Antoine, UCAD (SEN)
• Fassinou Cofélas, UCAD (SEN)
• Bossoukpe Marina, UCAD (SEN)
• Diatta Ousmane, ISRA (SEN)
• N'Goran Ange, ISRA (SEN)
• Audebert Alain, CIRAD-BIOS-UMR AGAP (FRA) ORCID: 0000-0002-5822-7166
• Ndiaye Ousmane, ISRA (SEN)
• Diouf Abdoul Aziz, CSE [Centre de suivi écologique] (SEN)
• Tagesson Torbern, Lund University (SWE)
• Fensholt Rasmus, UCPH (DNK)
• Faye Emile, CIRAD-PERSYST-UPR HortSys (FRA) ORCID: 0000-0001-7764-3256

Source : Cirad-Agritrop (https://agritrop.cirad.fr/600869/)

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