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Monitoring rangeland biomass during wet and dry seasons from a video obtained with a simple digital camera

Diédhiou Antoine, Diatta Ousmane, Ndiaye Ousmane, Bossoukpe Marina, Ngom Daouda, Julien Lionel, Touré Ibra, Diouf Abdoul Aziz, Bayet T., Cambier Christophe, Faye Emile, Taugourdeau Simon. 2021. Monitoring rangeland biomass during wet and dry seasons from a video obtained with a simple digital camera. In : Sensing – New insights into grassland science and practice. Proceedings of the 21st Symposium of the European Grassland Federation, online hosted by Universität Kassel, Germany 17-19 May 2021. Astor T. (ed.), Dzene I. (ed.). Kassel : Universität Kassel, 53-55. (Grassland science in Europe, 26) ISBN 978-3-00-068789-1 European Grassland Federation Symposium (EGF2021). 21, Kassel, Allemagne, 17 Mai 2021/19 Mai 2021.

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Résumé : Photogrammetry is an image analysis that produces a 3D model of on object using a set of images taken from different positions. We tested this technique using a digital camera to produce a 3D model of 1m2 of Sahelian rangeland grass. In 2019 we made measurements on 3 squares of 1m2 (images capture and biomass measurement) in each of 10 days in the wet season and each month during the dry season. We analysed the images using PIX4D software. We extracted the volume and the colour indexes from the pix4D output. We used a random forest to predict the dry and fresh mass of the grass. The percentage of variance was 46.31% for the fresh mass and 40.46 % for the fresh mass. This tool could be used to monitor grass biomass during both wet and dry seasons and implemented in a grass observatory.

Mots-clés libres : Sahel, Rangeland

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Source : Cirad-Agritrop (https://agritrop.cirad.fr/599442/)

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