Drones for Mapping and Monitoring Wetland Ecosystems

A special issue of Drones (ISSN 2504-446X). This special issue belongs to the section "Drones in Ecology".

Deadline for manuscript submissions: closed (31 December 2025) | Viewed by 2078

Special Issue Editor


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Guest Editor
CSIC—Estación Biológica de Doñana (EBD), Sevilla, Spain
Interests: multi and hyperspectral re-mote sensing for monitoring vegetation, wetlands and landscape changes; multitemporal analysis of time series of remote sensing images; predictive mapping of species habitat distribution; landscape dynamics and interactions with wildfire regimes; plant regeneration monitoring under different disturbance regimes; fire scar mapping and fire regime reconstruction; socio-ecological assessment and ecosystem services mapping
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Special Issue Information

Dear Colleagues,

Drones are a cost-efficient tool that can be used to quickly map any targeted area for many emerging applications in the arena of Wetlands Mapping and Monitoring. Managers, practitioners, companies and scientists are using professional drones equipped with high-resolution visible, multispectral, hyperspectral or thermal cameras, as well as LiDaR sensors, to assess the conservation status of wetlands, the effect of disturbances such as water pollution, harmful blooms, alien species and extreme droughts on wetlands, or the changes in the organisms living in them. We are now at a crucial juncture regarding the utilization of drones over natural, man-made and restored wetlands, moving from contingent missions towards systematic revisiting missions. This is certainly aiding in the periodic retrieval of important data regarding the physico-chemical characteristics of water or the mapping of species distribution.

This Special Issue aims to collect articles regarding the application of drones and their contribution to the enhancement of wetland monitoring and mapping; this is in order to gain a better understanding of the status, threats, changes and trends in wetland conservation. We welcome submissions that provide insights into both purely scientific missions and operational management missions, and whose scope includes, but is not limited to, the following topics:

  • The mapping of water physico-chemical parameters;
  • Long-term wetland monitoring based on UAVs, ROVs, etc.;
  • The mapping of aquatic alien species and harmful blooms;
  • Upscaling wetland parameters from in situ to satellite images using drones;
  • Sampling wetlands using drones;
  • Rapid risk and post-disturbance assessment maps using drones;
  • Monitoring wetlands dynamics using drones;
  • Mapping essential biodiversity variables and ecosystem services for wetlands;
  • Mapping threats, vulnerability and conservation issues for wetlands;
  • The mapping of wetlands phenological and temporal trends;
  • Wetland hydrological mapping with drones;
  • Wetland restoration with drones.

Suggested themes and article types for submissions.

  • Scientific reviews
  • Scientific papers
  • Demonstration and prospective studies

Dr. Ricardo Díaz-Delgado
Guest Editor

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Drones is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • wetlands
  • long-term monitoring
  • mapping with drones
  • survey
  • sampling
  • conservation
  • harmful blooms

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Published Papers (1 paper)

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Research

30 pages, 8339 KB  
Article
UAS-LiDAR Mapping of Bog Microrelief Enhances Accuracy of Ground-Layer Phytomass Estimation
by Danil V. Ilyasov, Anastasia V. Niyazova, Iuliia V. Kupriianova, Aleksandr F. Sabrekov, Alexandr A. Kaverin, Mikhail F. Kulyabin and Mikhail V. Glagolev
Drones 2026, 10(2), 121; https://doi.org/10.3390/drones10020121 - 8 Feb 2026
Viewed by 661
Abstract
The accurate upscaling of peatland carbon stocks is fundamentally limited by fine-scale microrelief (hummocks/depressions), which has not yet been resolved by conventional satellite or field methods. We demonstrate the critical advantage of using Uncrewed Aerial System LiDAR (UAS-LiDAR) for mapping the hierarchical microrelief [...] Read more.
The accurate upscaling of peatland carbon stocks is fundamentally limited by fine-scale microrelief (hummocks/depressions), which has not yet been resolved by conventional satellite or field methods. We demonstrate the critical advantage of using Uncrewed Aerial System LiDAR (UAS-LiDAR) for mapping the hierarchical microrelief of a Western Siberian ombrotrophic bog to enhance ground-layer phytomass estimation. The rule-based classification of a normalized digital terrain model generated a high-resolution microform map (overall accuracy = 79%, Kappa = 0.72). This map was used to upscale field-measured phytomass and compared against estimates generated through satellite imagery (SuperView-2) and traditional field-visual extrapolation. While total landscape-level phytomass stocks were similar across methods (~93–97 t ha−1), their spatial allocation differed fundamentally. The satellite-based method exhibited a predictable, landscape-dependent systematic bias (overestimation by 7–25% in some units) and a substantially lower microtopography accuracy (OA = 77%, Kappa = 0.53) compared to the aggregated LiDAR map (OA = 95%, Kappa = 0.89). Crucially, only the LiDAR-based approach accurately resolved the biomasses of key microforms (e.g., hummocks within hollows contributing up to 6.2 ± 1.4 tonnes per unit), which were missed or misaggregated when using traditional techniques. We conclude that objective, high-resolution microrelief mapping via UAS-LiDAR is essential for spatially explicit and ecologically coherent phytomass upscaling, providing an indispensable structural template for credible carbon accounting in heterogeneous peatlands. Full article
(This article belongs to the Special Issue Drones for Mapping and Monitoring Wetland Ecosystems)
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