Estimating herbaceous aboveground biomass in Sahelian rangelands using Structure from Motion data collected on the ground and by UAV.
3D model
Senegal
Unmanned Aerial Vehicle
herbaceous aboveground biomass
savannah ecosystem
vegetation index
Journal
Ecology and evolution
ISSN: 2045-7758
Titre abrégé: Ecol Evol
Pays: England
ID NLM: 101566408
Informations de publication
Date de publication:
May 2022
May 2022
Historique:
received:
15
12
2021
revised:
03
04
2022
accepted:
07
04
2022
entrez:
5
5
2022
pubmed:
6
5
2022
medline:
6
5
2022
Statut:
epublish
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
Identifiants
pubmed: 35509616
doi: 10.1002/ece3.8867
pii: ECE38867
pmc: PMC9057245
doi:
Types de publication
Journal Article
Langues
eng
Pagination
e8867Informations de copyright
© 2022 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd.
Déclaration de conflit d'intérêts
The authors declare no conflict of interest.
Références
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