Drone-Based Monitoring and Mapping for LMO Confined Field Management under the Ministry of Environment

被引:0
作者
Han, Sung Min [1 ]
Lee, Jung Ro [1 ]
Nam, Kyong-Hee [1 ]
机构
[1] Natl Inst Ecol NIE, LMO Team, Seocheon 33657, South Korea
来源
APPLIED SCIENCES-BASEL | 2023年 / 13卷 / 19期
关键词
confined field; living modified organism; risk assessment; vegetation survey; safety management; drone-based mapping; DIVERSITY; INDEXES; UAV;
D O I
10.3390/app131910627
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
The objective of this study was to devise effective safety management systems for enclosed living modified organism (LMO) fields regulated by the Ministry of Environment (MOE), achieved through an assessment of the impact of LM crops on the surrounding flora. A combination of conventional survey methods and cutting-edge drone-based monitoring systems was employed, with a keen focus on their efficacy. Our investigation spans three distinct zones (forest, non-forest, and enclosed field), involving vegetation surveys, biodiversity index analyses, and drone-powered aerial observations to study topographical shifts. Over time, wild plants adjacent to the enclosed LMO field exhibited stability in terms of species composition. Nevertheless, disparities in growth patterns emerged across various areas. Predominantly, herbs thrived in enclosed and non-forest areas, while trees and shrubs flourished in forested regions. Annual plants predominantly populated the non-forest regions, whereas perennials dominated the forested areas. To this end, drones captured aerial photographs of a 31.65-hectare expanse with 40% coverage overlap, furnishing a real-time vegetation map that transcends the capacities of conventional methods. By combining vegetation surveys, drone-generated vegetation mapping, and dynamic monitoring of topographical changes, our research endeavors to facilitate the formulation of a robust safety management framework for LMO confined fields overseen by the MOE. This holistic approach aspires to prevent ecosystem contamination and establish a resilient, enduring system that averts LMO leakage, thereby safeguarding the environment.
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页数:13
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共 40 条
  • [1] Alexandrova N., 2005, BIOTECHNOL BIOTEC EQ, V19, P153, DOI [DOI 10.1080/13102818.2005.10817294, 10.1080/13102818.2005.10817294]
  • [2] Guidance on the environmental risk assessment of genetically modified plants
    Andersson, Hans Christer
    Arpaia, Salvatore
    Bartsch, Detlef
    Casacuberta, Josep
    Davies, Howard
    du Jardin, Patrick
    Flachowsky, Gerhard
    Herman, Lieve
    Jones, Huw
    Kaerenlampi, Sirpa
    Kiss, Jozsef
    Kleter, Gijs
    Kuiper, Harry
    Messean, Antoine
    Nielsen, Kaare Magne
    Perry, Joe
    Poeting, Annette
    Sweet, Jeremy
    Tebbe, Christoph
    von Wright, Atte Johannes
    Wal, Jean-Michel
    [J]. EFSA JOURNAL, 2010, 8 (11)
  • [3] Drone Image Segmentation Using Machine and Deep Learning for Mapping Raised Bog Vegetation Communities
    Bhatnagar, Saheba
    Gill, Laurence
    Ghosh, Bidisha
    [J]. REMOTE SENSING, 2020, 12 (16)
  • [4] Performance and Feasibility of Drone-Mounted Imaging Spectroscopy for Invasive Aquatic Vegetation Detection
    Bolch, Erik A.
    Hestir, Erin L.
    Khanna, Shruti
    [J]. REMOTE SENSING, 2021, 13 (04) : 1 - 20
  • [5] Braun-Blanquet J., 1964, Grundzuge der vegetationskunde, V3
  • [6] Gene flow, risk assessment and the environmental release of transgenic plants
    Chandler, Stephen
    Dunwell, Jim M.
    [J]. CRITICAL REVIEWS IN PLANT SCIENCES, 2008, 27 (01) : 25 - 49
  • [7] Understanding through drone image analysis the interactions between geomorphology, vegetation and marine debris along a sandy spit
    Corbau, Corinne
    Buoninsegni, Joana
    Olivo, Elisabetta
    Vaccaro, Carmela
    Nardin, William
    Simeoni, Umberto
    [J]. MARINE POLLUTION BULLETIN, 2023, 187
  • [8] Potential for the environmental impact of transgenic crops
    Dale, PJ
    Clarke, B
    Fontes, EMG
    [J]. NATURE BIOTECHNOLOGY, 2002, 20 (06) : 567 - 574
  • [9] Drone and sensor technology for sustainable weed management: a review
    Esposito, Marco
    Crimaldi, Mariano
    Cirillo, Valerio
    Sarghini, Fabrizio
    Maggio, Albino
    [J]. CHEMICAL AND BIOLOGICAL TECHNOLOGIES IN AGRICULTURE, 2021, 8 (01)
  • [10] Multi-Scale Evaluation of Drone-Based Multispectral Surface Reflectance and Vegetation Indices in Operational Conditions
    Fawcett, Dominic
    Panigada, Cinzia
    Tagliabue, Giulia
    Boschetti, Mirco
    Celesti, Marco
    Evdokimov, Anton
    Biriukova, Khelvi
    Colombo, Roberto
    Miglietta, Franco
    Rascher, Uwe
    Anderson, Karen
    [J]. REMOTE SENSING, 2020, 12 (03)