Evidence map›Paper›PMID 40080738›Full record

ArticlePloS one2025

High resolution descriptors for UAV mapping in biodiversity conservation - A case study of sandy steppe habitat renewal.

Maja Arok, Branko Brkljač, Predrag Lugonja, Bojana Ivošević, Milan Vukotić, Tijana Nikolić Lugonja

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Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Maja ArokBioSense Institute - Research and Development Institute for Information Technologies in Biosystems, University of Novi Sad, Novi Sad, Republic of Serbia.ORCID https://orcid.org/0000-0001-8587-9656
Branko BrkljačDepartment of Power, Electronic and Telecommunication Engineering, Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Republic of Serbia.ORCID 0000-0001-7932-6676
Predrag LugonjaBioSense Institute - Research and Development Institute for Information Technologies in Biosystems, University of Novi Sad, Novi Sad, Republic of Serbia.ORCID https://orcid.org/0000-0001-7399-8789
Bojana IvoševićBioSense Institute - Research and Development Institute for Information Technologies in Biosystems, University of Novi Sad, Novi Sad, Republic of Serbia.ORCID https://orcid.org/0000-0002-6832-1893
Milan VukotićRanger service, Public enterprise Palić-Ludaš, Palić, Republic of Serbia.
Tijana Nikolić LugonjaBioSense Institute - Research and Development Institute for Information Technologies in Biosystems, University of Novi Sad, Novi Sad, Republic of Serbia.ORCID https://orcid.org/0000-0002-0378-8572

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Due to the large-scale disappearance of grasslands there is an urgent need for revitalization. It calls for consistent and accessible monitoring and mapping plans, and an integrated management approach. However, revitalization efforts often focus solely on the vegetation component, and skip the link to other animal species that perform vital functions as ecosystem engineers and umbrella species. In this study, we combine an in-situ standard phytocoenological survey with an UAV-based technology in the effort to improve the monitoring and mapping of the sandy steppe habitat of the European ground squirrel (Spermophilus citellus; EGS), undergoing revitalization in the northern Serbia. It is a model organism of an animal species that enables identifying habitat quality and quantity indicators to understand the broader implications of the ecosystem revitalization efforts on the wildlife populations. The proposed approach tested whether the commercially available RGB sensor and a relatively high flight height of the UAV have discriminative capacity to aid site managers by mapping identified steppe development stages (specific plant assemblages, reflecting different habitat types). Thus, a novel set of high-resolution image descriptors that are capable of discriminating plant mixtures corresponding to Fallow land, Forest steppe and shrubs, Young steppe I and II, was proposed. Despite high resolution imaging, the method solves a challenging problem of UAV vegetation mapping in the case of limited spectral and spatial information in the image (by using only RGB camera and multitemporal approach). Although the lack of visual information that would allow identification of individual plant parts and shapes prevented the use of usual object-based image analysis, proposed pixel-based descriptors and feature selection were able to provide the extent of the targeted areas and their compositional carriers. Presented holistic approach enables implementation of effective management strategies that support the entire ecological community.

Indexed as

BiodiversityConservation of Natural ResourcesEcosystemGrasslandRemote Sensing TechnologyUnmanned Aerial DevicesAnimalsSciuridaeSerbia

Identifiers

PMID40080738
PMCPMC11906168

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.