Top

Published in:

2023 | OriginalPaper | Chapter

Environmental Monitoring in the “Land–Water” Contact Zone of Water Bodies with the Help of Small Unmanned Aerial Vehicles

Authors : Denis Efimov, Alexandr Shablov, Elena Shavalieva

Published in: Proceedings of 10th International Conference on Recent Advances in Civil Aviation

Publisher: Springer Nature Singapore

Activate our intelligent search to find suitable subject content or patents.

search-config

AI-assisted search

Off

Abstract

The paper presents the results of using UAV, small unmanned aerial vehicles, for the purposes of environmental monitoring of coastal ecosystems of large continental bodies of water. Large water bodies of the Lake Baikal system in the south of Siberia were used as test sites. The survey was carried out using small unmanned aerial vehicles—the Geoscan 101 aircraft type and DJI multi-rotor UAV—during the warm season. From June to September, more than 6,000 high-resolution aerial photographs were obtained, which were used to compile orthophotomaps. As a result of the analysis of the aerial photographs, a classification of objects for environmental monitoring of coastal ecosystems of a specific area was developed, as well as a technical algorithm for the stages of shooting. The results of the study demonstrate the advantages of using small unmanned aerial vehicles as an additional control tool in monitoring the state of environmental objects, which significantly expands the range of factors of potential and real impact on the state of ecosystems, helps to identify the location of impact sources and to obtain quantitative estimates of a wide spatial coverage.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

inform now

previous chapter Decision-Making Related to UAV Control Under Uncertainty

next chapter A Complex of Ground Equipment for an Unmanned Search Aircraft

Elvidge CD, Ziskin D, Baugh KE et al (2009) A fifteen year record of global natural gas flaring derived from satellite data. Energies 2(3):595–622. https://doi.org/10.3390/en20300595CrossRef

Mulac B, Storvold R, Weatherhead EC (2011) Remote Sensing in the Arctic with Unmanned Aircraft: Helping Scientists to Achieve Their Goals. Int Sym Rem Sen Env, Sydney, Australia, (ICRSE), April 10–15. https://www.isprs.org/proceedings/2011/isrse-34/211104015Final00863.pdf

Romankevich AP, Kachanovskaya D, Chernyakov G (2017) Primenenie bespilotnyh letatel'nyh apparatov s cel'yu krupnomasshtabnogo kartografirovaniya i sozdaniya cifrovoj osnovy dlya monitoringa rastitel'nosti (The use of unmanned aerial vehicles for the purpose of mapping and creating a digital basis for monitoring vegetation). Land Bel 3:46−48. http://elib.bsu.by/handle/123456789/209976 (In Russian)

Skudneva OV (2016) Bespilotnye letatel’nye apparaty v sisteme lesnogo hozyajstva Rossii (Unmanned aerial vehicles in the forestry system of Russia). News high educ For J 6(342):150–154 (In Russian)

Frater T, Juzsakova T, Lauer J (2015) Unmanned aerial vehicles in environmental monitoring—An efficient way for remote sensing. J Env Sci Eng A4:85–91. https://doi.org/10.17265/2162-5298/2015.02.004

Alvear O, Zema NR, Natalizio E et al (2017) Using UAV-based systems to monitor air pollution in areas with poor accessibility. J Adv Transp 2017:1–14. https://doi.org/10.1155/2017/8204353CrossRef

d’Oleire-Oltmanns S, Marzolff I, Peter KD et al (2012) Unmanned aerial vehicle (UAV) for monitoring soil erosion in Morocco. Rem Sen 4:3390–3416. https://doi.org/10.3390/rs4113390CrossRef

Leifer I, William J, Lehr WJ et al (2012) State of the art satellite and airborne marine oil spill remote sensing: Application to the BP deepwater horizon oil spill. Rem Sen Env 124:185–209. https://doi.org/10.1016/j.rse.2012.03.024CrossRef

Fu Y, Yang G, Song X et al (2021) Using multiscale textures extracted from UAV-based digital images and hyperspectral feature analysis. Rem Sen 13(4):581. https://doi.org/10.3390/rs13040581CrossRef

10.

Guo A, Huang W, Dong Y (2021) Wheat yellow rust detection using UAV-based hyperspectral technology. Rem Sen 13(1):123. https://doi.org/10.3390/rs13010123CrossRef

11.

Machefer M, Lemarchand F, Bonnefond V et al (2020) Mask R-CNN refitting strategy for plant counting and sizing in UAV imagery. Rem Sen 12(18):3015. https://doi.org/10.3390/rs12183015CrossRef

12.

Chemeris EV, Kutuzov AV, Efimov DY et al (2020) Changes in the vegetation cover of the lake Pleshcheyevo (Yaroslavl region) from 1899 to 2017. Proc IBIW 90(98):33–52. https://doi.org/10.24411/0320-3557-2020-10011

13.

Bhatnagar S, Gill L, Ghosh B (2020) Drone image segmentation using machine and deep learning for mapping raised bog vegetation communities. Rem Sen 12(16):2602. https://doi.org/10.3390/rs12162602CrossRef

14.

Sivakumar ANV, Li J, Scott S (2020) Comparison of object detection and patch-based classification deep learning models on mid- to late-season weed detection in UAV imagery. Rem Sen 12(13):2136. https://doi.org/10.3390/rs12132136CrossRef

15.

Ashapure A, Jung J, Chang A (2019) A comparative study of RGB and multispectral sensor-based cotton canopy cover modelling using multi-temporal UAS data. Rem Sen 11(23):2757. https://doi.org/10.3390/rs11232757CrossRef

16.

Cendero A (1989) Land-use problems planning and management in the coastal zone. Ocean and Shor Manag 12(5/6):367–381. https://doi.org/10.1016/0951-8312(89)90019-2CrossRef

17.

Hays GC, Richardson AJ, Robinson C (2005) Climate change and marine plankton. Tre Eco Evo 20:337–344. https://doi.org/10.1016/j.tree.2005.03.004CrossRef

18.

Afanasyeva EL, Shimaraev MN (2006) Long-term zooplankton variations in the pelagial of Lake Baikal under global warming. Aquatic ecology at the dawn of the XXI century. KMK, Moscow, pp 253–265

19.

Hampton SE, Izmest’eva LR, Moore MY et al (2008) Sixty years of environmental change in the world’s largest freshwater lake—Lake Baikal, Siberia. Glo Ch Bio 14(8):1947–1958. https://doi.org/10.1111/j.1365-2486.2008.01616.xCrossRef

20.

Timoshkin OA, Suturin AN, Bondarenko NA (2011) Biology of the coastal zone of Lake Baikal. 1. Overview of the current knowledge on the splash zone, first results of interdisciplinary investigations, monitoring as a basic tool in ecological research. Irk St Univ Bul 4(4):75–110

Title: Environmental Monitoring in the “Land–Water” Contact Zone of Water Bodies with the Help of Small Unmanned Aerial Vehicles
Authors: Denis Efimov
Alexandr Shablov
Elena Shavalieva
Publisher: Springer Nature Singapore
Book: Proceedings of 10th International Conference on Recent Advances in Civil Aviation
Print ISBN: 978-981-19-3787-3

Electronic ISBN: 978-981-19-3788-0

Copyright Year: 2023
DOI: https://doi.org/10.1007/978-981-19-3788-0_36

Springer Professional

Abstract

Please log in to get access to your license.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Premium Partner