Writing – review & editing (equal). Emile Faye: Conceptualization (equal); Methodology (equal). OPEN RESEARCH BADGES This article has earned an Open Data Badge for making publicly available the digitally‐shareable data necessary to reproduce the reported results. The data is available at https://doi.org/10.5281/zenodo.6421543 , https://doi.org/10.5281/zenodo.5148337 and https://doi.org/10.5281/zenodo.5145395 . Supporting information Appendix S1 Click here for additional data file. ACKNOWLEDGMENTS This research was financed by the Carbon Sequestration and Green‐house Gas Emissions in (Agro) Sylvopastoral Ecosystems in the Sahelian CILSS States (CaSSECS) project, supported by the European Un
Open resource ↗zenodo · 10.5281/zenodo.5148337 · lines:571-608Unverified paper record
Estimating herbaceous aboveground biomass in Sahelian rangelands using Structure from Motion data collected on the ground and by UAV.
Ecology and evolution · 1 May 2022 · 10.1002/ece3.8867
Abstract
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.
Plant phenotyping relevance
SfM画像解析とUAV・地上カメラを用いて、植生高や指数から草本地上部バイオマスを推定し、異なるデータセット・スケールで精度比較を行っており、植物形質推定手法が中心です。
abstractthe SfM potential to estimate the herbaceous aboveground biomass in Sahelian rangelands was tested in this study.
abstractAll images were processed using PIX4D software (photogrammetry software) and were used to extract vegetation indices and heights.
abstractA 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).
Code and data availability
The paper's UAV and ground-camera SfM phenotyping datasets (National, Landscape, and Temporal UAV datasets) are explicitly deposited on Zenodo with DOIs given in the Open Research Badges and Data Availability sections, making them public, paper-specific, and directly actionable.
aye: Conceptualization (equal); Methodology (equal). OPEN RESEARCH BADGES This article has earned an Open Data Badge for making publicly available the digitally‐shareable data necessary to reproduce the reported results. The data is available at https://doi.org/10.5281/zenodo.6421543 , https://doi.org/10.5281/zenodo.5148337 and https://doi.org/10.5281/zenodo.5145395 . Supporting information Appendix S1 Click here for additional data file. ACKNOWLEDGMENTS This research was financed by the Carbon Sequestration and Green‐house Gas Emissions in (Agro) Sylvopastoral Ecosystems in the Sahelian CILSS States (CaSSECS) project, supported by the European Union under the Development Smart Innovation
Open resource ↗zenodo · 10.5281/zenodo.5145395 · lines:571-608view & editing (equal). Rasmus Fensholt: Writing – review & editing (equal). Emile Faye: Conceptualization (equal); Methodology (equal). OPEN RESEARCH BADGES This article has earned an Open Data Badge for making publicly available the digitally‐shareable data necessary to reproduce the reported results. The data is available at https://doi.org/10.5281/zenodo.6421543 , https://doi.org/10.5281/zenodo.5148337 and https://doi.org/10.5281/zenodo.5145395 . Supporting information Appendix S1 Click here for additional data file. ACKNOWLEDGMENTS This research was financed by the Carbon Sequestration and Green‐house Gas Emissions in (Agro) Sylvopastoral Ecosystems in the Sahelian CILSS States (CaSSE
Open resource ↗zenodo · 10.5281/zenodo.6421543 · lines:571-608This is an automatically classified, unverified record. Curator approval is required before any resource enters the Catalog.