Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Improving Vegetation Spatial Distribution Mapping in Arid and on Coastal Dune Systems Using GPR

Christopher Gomez
,
Liu Jiaqi
ORCID logo ,
Wu Jing
,
Frans Persendt
,
Balazs Bradak
,
Saleh Yousefi
ORCID logo ,
Danang Sri Hadmoko
*
Version 1 : Received: 30 November 2022 / Approved: 2 December 2022 / Online: 2 December 2022 (03:56:45 CET)

How to cite: Gomez, C.; Jiaqi, L.; Jing, W.; Persendt, F.; Bradak, B.; Yousefi, S.; Sri Hadmoko, D. Improving Vegetation Spatial Distribution Mapping in Arid and on Coastal Dune Systems Using GPR. Preprints 2022, 2022120039. https://doi.org/10.20944/preprints202212.0039.v1 Gomez, C.; Jiaqi, L.; Jing, W.; Persendt, F.; Bradak, B.; Yousefi, S.; Sri Hadmoko, D. Improving Vegetation Spatial Distribution Mapping in Arid and on Coastal Dune Systems Using GPR. Preprints 2022, 2022120039. https://doi.org/10.20944/preprints202212.0039.v1

Abstract

Desertification and dune progression over vegetation is quantified using remote sensing data, but vegetation, eventually temporarily, buried under sand blowout may escape such assessment, and to estimate the extent of buried vegetation, a GPR campaign was conducted over the coastal sand-dune of Tottori Prefecture (Japan) in combination with a high-resolution topographic UAV-based survey of the topography. The result shows that buried vegetation exists underneath sand-blowout, especially near the dune ridges, and that this vegetation can extend 20 – 30 m further than the estimation made from airborne remote sensing. Furthermore, the presence of palaeo-vegetation in palaeodune layers also provide information on the long-term evolution of sand dunes (with periods of stability vs rapid change), which can be used to reconstruct Quaternary coastal environments.

Keywords

coastal dune; ground penetrating radar; buried vegetation; vegetation mapping

Subject

Environmental and Earth Sciences, Environmental Science

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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