Estimating blue carbon accumulated in a halophyte community using UAV imagery: a case study of the southern coastal wetlands in South Korea

Park, Seong-Il; Hwang, Young Hwan; Um, Jung‐Sup

doi:10.1007/s11852-021-00828-1

Cited by 9 publications

(8 citation statements)

References 21 publications

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“…In relation to the elemental analysis results, the carbon content is close to that reported by Park et al [24] for L. tetragonum (Thunb.) Bullock (45.5%), while the nitrogen content in leaves is in good agreement with that reported for L. echioides (L.) Mill.…”

Section: Elemental Analysis and Calorific Values Calculationsupporting

confidence: 89%

Characterization and Antimicrobial Activity of a Halophyte from the Asturian Coast (Spain): Limonium binervosum (G.E.Sm.) C.E.Salmon

Sánchez-Hernández

Buzón-Durán

Langa-Lomba

et al. 2021

Plants

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The work presented herein deals with the characterization and valorization of a halophyte from the cliffs of the Asturian coast: Limonium binervosum (G.E.Sm.) C.E.Salmon (rock sea-lavender). Its biomass and hydromethanolic extracts were studied by elemental and thermal analysis, infrared spectroscopy and gas chromatography–mass spectroscopy. Tetradecanoic acid/esters and 1,2-tetradecanediol were identified in its flower extract, while the leaf extract was rich in linolenic and linoleic acids and their esters, hexadecanoic acid and its esters, and phytol. Both flower and leaf hydromethanolic extracts contained eicosane, sitosterol and tocopherols in significant amounts. With a view to its valorization, the antimicrobial activity of these extracts was investigated against three apple tree and grapevine phytopathogens. Both the hydroalcoholic extracts and their main constituents, alone or in combination with chitosan oligomers (COS), were tested in vitro. A remarkable antibacterial activity was observed for the conjugated complexes of the flower extract with COS, both against Xylophilus ampelinus (MIC = 250 μg·mL−1) and Erwinia amylovora (MIC = 500 μg·mL−1), and complete inhibition of the mycelial growth of Diplodia seriata was found at concentrations <1000 μg·mL−1. In view of these results, this extremophile plant can be put forward as a promising source of bioactive metabolites.

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Section: Elemental Analysis and Calorific Values Calculationsupporting

confidence: 89%

Characterization and Antimicrobial Activity of a Halophyte from the Asturian Coast (Spain): Limonium binervosum (G.E.Sm.) C.E.Salmon

Sánchez-Hernández

Buzón-Durán

Langa-Lomba

et al. 2021

Plants

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“…SfM algorithm is applied to establish the camera exposure position and motion trajectory for building a sparse point cloud [31][32][33][34][35]. The sparse point cloud is then used for camera calibration, and a multiview stereo (MVS) is utilized in conjunction with the DSM generation method based on reverse distance weight interpolation to construct a dense point cloud [36,37]. Figure 2 presents the overlap between the mosaic generated using still imagery (photo-mosaic) and video frames (video-mosaic).…”

Section: Thermal Video Frame Mosaicmentioning

confidence: 99%

Comparative Evaluation for Tracking the Capability of Solar Cell Malfunction Caused by Soil Debris between UAV Video versus Photo-Mosaic

Hwang

Schlüter

Park³

et al. 2022

Remote Sensing

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Monitoring the malfunction of the solar cells (for instance, 156 mm by 156 mm) caused by the soil debris requires a very low flight altitude when taking aerial photos, utilizing the autopilot function of unmanned aerial vehicle (UAV). The autopilot flight can only operate at a certain level of altitude that can guarantee collision avoidance for flight obstacles (for instance, power lines, trees, buildings) adjacent to the place where the solar panel is installed. For this reason, aerial photos taken by autopilot flight capture unnecessary objects (surrounding buildings and roads) around the solar panel at a tremendous level. Therefore, the autopilot-based thermal imaging causes severe data redundancy with very few matched key-points around the malfunctioned solar cells. This study aims to explore the tracking capability on soil debris defects in solar cell scale between UAV video versus photo-mosaic. This study experimentally validated that the video-based thermal imaging can track the thermal deficiency caused by the malfunction of the solar cell at the level of the photo-mosaic in terms of correlation of thermal signatures (0.98–0.99), detection on spatial patterns (81–100%), and distributional property (90–95%) with 2.5–3.4 times more matched key-points on solar cells. The results of this study could serve as a valuable reference for employing video stream in the process of investigating soil debris defects in solar cell scale.

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“…An SfM algorithm was applied to reestablish the camera exposure position and motion trajectory for building a sparse point cloud. The sparse point cloud was then used for camera calibration, and a Multiview stereo (MVS) was utilized to build a dense point cloud, along with the Digital Surface Model (DSM) generation using reverse distance weight interpolation [20,21]. The photogrammetric block was processed in Pix4D with the number of 2-D and 3-D key point observations for bundle block adjustment (Table 3).…”

Section: Gsd =mentioning

confidence: 99%

Comparative Evaluation of Mapping Accuracy between UAV Video versus Photo Mosaic for the Scattered Urban Photovoltaic Panel

et al. 2021

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It is common practice for unmanned aerial vehicle (UAV) flight planning to target an entire area surrounding a single rooftop’s photovoltaic panels while investigating solar-powered roofs that account for only 1% of the urban roof area. It is very hard for the pre-flight route setting of the autopilot for a specific area (not for a single rooftop) to capture still images with high overlapping rates of a single rooftop’s photovoltaic panels. This causes serious unnecessary data redundancy by including the surrounding area because the UAV is unable to focus on the photovoltaic panel installed on the single rooftop. The aim of this research was to examine the suitability of a UAV video stream for building 3-D ortho-mosaics focused on a single rooftop and containing the azimuth, aspect, and tilts of photovoltaic panels. The 3-D position accuracy of the video stream-based ortho-mosaic has been shown to be similar to that of the autopilot-based ortho-photo by satisfying the mapping accuracy of the American Society for Photogrammetry and Remote Sensing (ASPRS): 3-D coordinates (0.028 m) in 1:217 mapping scale. It is anticipated that this research output could be used as a valuable reference in employing video stream-based ortho-mosaics for widely scattered single rooftop solar panels in urban settings.

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Estimating blue carbon accumulated in a halophyte community using UAV imagery: a case study of the southern coastal wetlands in South Korea

Cited by 9 publications

References 21 publications

Characterization and Antimicrobial Activity of a Halophyte from the Asturian Coast (Spain): Limonium binervosum (G.E.Sm.) C.E.Salmon

Characterization and Antimicrobial Activity of a Halophyte from the Asturian Coast (Spain): Limonium binervosum (G.E.Sm.) C.E.Salmon

Comparative Evaluation for Tracking the Capability of Solar Cell Malfunction Caused by Soil Debris between UAV Video versus Photo-Mosaic

Comparative Evaluation of Mapping Accuracy between UAV Video versus Photo Mosaic for the Scattered Urban Photovoltaic Panel

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