Advances of Unmanned Aerial Vehicles in Hydrology

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

Deadline for manuscript submissions: closed (16 October 2023) | Viewed by 3067

Special Issue Editors


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Guest Editor
Department of Marine Sciences, University of the Aegean, University Hill, 81100 Mytilene, Lesvos Island, Greece
Interests: hydrologic modeling; UAVs on water resources for surface velocity and water discharge; UAVs on water resources to map geomorphological changes; UAVs for environmental monitoring
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Marine Sciences, University of the Aegean, University Hill, 81100 Mytilene, Lesvos Island, Greece
Interests: hydrology, water quality and sediment transport monitoring; modelling and management of intermittent and ephemeral streams (IRES); flash floods; nutrient pollution and climate change impact; flow image velocimetry using UAVs; coastal zone management (coastal aquifers protection, beaches resilience, marinas and ports environmental management)
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The hydrologic sciences have long depended on a combination of in situ ground-based measurements and remote sensing satellite data or airborne data from manned aircrafts. During the last several decades, unmanned aerial vehicles (UAVs) have become the bridge to fill gaps in the above methods and brought a revolution in the field of hydrology. In many cases, these tools are the only available method, as they can be used in dangerous and inaccessible locations. In addition, UAVs are often more cost-effective than remote sensing datasets and require less time than demanding field measurements. This Special Issue aims to gather UAV applications of different technologies and methods in order to provide cost-effective hydrologic monitoring, assessment and modeling.

We invite researchers in hydrology to contribute original research papers, review articles and empirical studies which will stimulate debate in the topic. Potential topics include, but are not limited to, the following:

  • Channels’ geomorphological mapping, monitoring and analysis;
  • Coastal and deltas surveying;
  • Flood monitoring and analysis;
  • Image-based velocimetry;
  • Multispectral sensors and water indices;
  • River stage and water depth;
  • Thermal cameras and algal blooms;
  • UAVs on hydrologic engineering;
  • UAV-based sensors for water pollution.

Dr. Paschalis Koutalakis
Dr. Ourania Tzoraki
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

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

  • drones for hydrologic assessment
  • UAS-based applications in hydrology
  • UAVs on water resources monitoring
  • RPIAS for water resources surveillance
  • water resources management with drones

Published Papers (1 paper)

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Research

26 pages, 18907 KiB  
Article
Comparing Unmanned Aerial Multispectral and Hyperspectral Imagery for Harmful Algal Bloom Monitoring in Artificial Ponds Used for Fish Farming
by Diogo Olivetti, Rejane Cicerelli, Jean-Michel Martinez, Tati Almeida, Raphael Casari, Henrique Borges and Henrique Roig
Drones 2023, 7(7), 410; https://doi.org/10.3390/drones7070410 - 21 Jun 2023
Cited by 1 | Viewed by 2225
Abstract
This work aimed to assess the potential of unmanned aerial vehicle (UAV) multi- and hyper-spectral platforms to estimate chlorophyll-a (Chl-a) and cyanobacteria in experimental fishponds in Brazil. In addition to spectral resolutions, the tested platforms differ in the price, payload, [...] Read more.
This work aimed to assess the potential of unmanned aerial vehicle (UAV) multi- and hyper-spectral platforms to estimate chlorophyll-a (Chl-a) and cyanobacteria in experimental fishponds in Brazil. In addition to spectral resolutions, the tested platforms differ in the price, payload, imaging system, and processing. Hyperspectral airborne surveys were conducted using a push-broom system 276-band Headwall Nano-Hyperspec camera onboard a DJI Matrice 600 UAV. Multispectral airborne surveys were conducted using a global shutter-frame 4-band Parrot Sequoia camera onboard a DJI Phantom 4 UAV. Water quality field measurements were acquired using a portable fluorometer and laboratory analysis. The concentration ranged from 14.3 to 290.7 µg/L and from 0 to 112.5 µg/L for Chl-a and cyanobacteria, respectively. Forty-one Chl-a and cyanobacteria bio-optical retrieval models were tested. The UAV hyperspectral image achieved robust Chl-a and cyanobacteria assessments, with RMSE values of 32.8 and 12.1 µg/L, respectively. Multispectral images achieved Chl-a and cyanobacteria retrieval with RMSE values of 47.6 and 35.1 µg/L, respectively, efficiently mapping the broad Chl-a concentration classes. Hyperspectral platforms are ideal for the robust monitoring of Chl-a and CyanoHABs; however, the integrated platform has a high cost. More accessible multispectral platforms may represent a trade-off between the mapping efficiency and the deployment costs, provided that the multispectral cameras offer narrow spectral bands in the 660–690 nm and 700–730 nm ranges for Chl-a and in the 600–625 nm and 700–730 nm spectral ranges for cyanobacteria. Full article
(This article belongs to the Special Issue Advances of Unmanned Aerial Vehicles in Hydrology)
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