UAV approaches for improved mapping of vegetation cover and estimation of carbon storage of small saltmarshes: examples from Loch Fleet, northeast Scotland
-
Published:2024-02-20
Issue:4
Volume:21
Page:929-948
-
ISSN:1726-4189
-
Container-title:Biogeosciences
-
language:en
-
Short-container-title:Biogeosciences
Author:
Hiles WilliamORCID, Miller Lucy C., Smeaton CraigORCID, Austin William E. N.ORCID
Abstract
Abstract. Saltmarsh environments are recognised as key components of many biophysical and biochemical processes at the local and global scale. Accurately mapping these environments, and understanding how they are changing over time, is crucial for better understanding these systems. However, traditional surveying techniques are time-consuming and are inadequate for understanding how these dynamic systems may be changing temporally and spatially. The development of uncrewed aerial vehicle (UAV) technology presents an opportunity for efficiently mapping saltmarsh extent. Here we develop a methodology which combines field vegetation surveys with multispectral UAV data collected at two scales to estimate saltmarsh area and organic carbon storage at three saltmarshes in Loch Fleet (Scotland). We find that the Normalised Difference Vegetation Index (NDVI) values for surveyed saltmarsh vegetation communities, in combination with local tidal data, can be used to reliably estimate saltmarsh area. Using these area estimates, together with known plant community and soil organic carbon relationships, saltmarsh soil organic carbon storage is modelled. Based on our most reliable UAV-derived saltmarsh area estimates, we find that organic carbon storage is 15 %–20 % lower than previous area estimates would indicate. The methodology presented here potentially provides a cheap, affordable, and rapid method for saltmarsh mapping which could be implemented more widely to test and refine existing estimates of saltmarsh extent and is particularly well-suited to the mapping of small areas of saltmarsh environments.
Funder
Natural Environment Research Council
Publisher
Copernicus GmbH
Reference54 articles.
1. Adam, P.: Geographical variation in British saltmarsh vegetation, J. Ecol., 66, 339–366, https://doi.org/10.2307/2259141, 1978. 2. Andrieu, C., De Freitas, N., Doucet, A., and Jordan, M. I.: An introduction to MCMC for machine learning, Mach. Learn., 50, 5–42, https://doi.org/10.1023/A:1020281327116, 2003. 3. Austin, W. E. N., Smeaton, C., Riegel, S., Ruranska, P., and Miller, L.: Blue carbon stock in Scottish saltmarsh soils, Scot. Mar. Fresh. Sci., 12, 37 pp., https://doi.org/10.7489/12372-1, 2021. 4. Balke, T., Stock, M., Jensen, K., Bouma, T. J., and Kleyer, M.: A global analysis of the seaward salt marsh extent: the importance of tidal range, Water Resour. Res., 52, 3775–3786, https://doi.org/10.1002/2015WR018318, 2016. 5. Balke, T., Vovides, A., Schwarz, C., Chmura, G. L., Ladd, C., and Basyuni, M.: Monitoring tidal hydrology in coastal wetlands with the “Mini Buoy”: applications for mangrove restoration, Hydrol. Earth Syst. Sci., 25, 1229–1244, https://doi.org/10.5194/hess-25-1229-2021, 2021.
|
|