Assessing the relative accuracy of coral heights reconstructed from drones and structure from motion photogrammetry on coral reefs

Casella, Elisa; Lewin, P.; Ghilardi, Mattia; Bejarano, Sonia

doi:10.1007/s00338-022-02244-9

Cited by 13 publications

(6 citation statements)

References 42 publications

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“…effects by the water (David et al, 2021;Casella et al, 2022;Pell et al, 2022), and thus, no GCP were placed when water still drained off in lower elevations. Water areas, especially tidal creeks and pools, affect elevation values and cause noise during the processing that was eliminated to avoid this issue.…”

Section: Data Collectionmentioning

confidence: 99%

“…In the last two decades, the application of UAVs has increased in mapping coastal and estuarine environments (Chand and Bollard, 2021b). The application of UAV has been reported for marine ecosystems like macrophytes (Romań et al, 2021), seagrass (Duffy et al, 2018;Chand and Bollard, 2021a;Ventura et al, 2023), mangroves (Hsu et al, 2020), corals (Casella et al, 2017;David et al, 2021;Casella et al, 2022) and for beach morphology studies (Seymour et al, 2018;Casella et al, 2020a). While investments in professional UAV systems can be costly but derive data of high accuracy, consumer-grade UAVs have less precision but have so far shown promising results in determining information and data from marine ecology, e.g., in analysing the topography of honeycomb worm reefs (Brunier et al, 2022) and the annual changes in sediment volume of a fringing reef island (David and Schlurmann, 2020).…”

Section: Introductionmentioning

confidence: 99%

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Low-cost UAV monitoring: insights into seasonal volumetric changes of an oyster reef in the German Wadden Sea

Hoffmann,

Pfennings,

Hitzegrad

et al. 2023

Front. Mar. Sci.

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This study aims to quantify the dimensions of an oyster reef over two years via low-cost unoccupied aerial vehicle (UAV) monitoring and to examine the seasonal volumetric changes. No current study investigated via UAV monitoring the seasonal changes of the reef-building Pacific oyster (Magallana gigas) in the German Wadden Sea, considering the uncertainty of measurements and processing. Previous studies have concentrated on classifying and mapping smaller oyster reefs using terrestrial laser scanning (TLS) or hyperspectral remote sensing data recorded by UAVs or satellites. This study employed a consumer-grade UAV with a low spectral resolution to semi-annually record the reef dimensions for generating digital elevation models (DEM) and orthomosaics via structure from motion (SfM), enabling identifying oysters. The machine learning algorithm Random Forest (RF) proved to be an accurate classifier to identify oysters in low-spectral UAV data. Based on the classified data, the reef was spatially analysed, and digital elevation models of difference (DoDs) were used to estimate the volumetric changes. The introduction of propagation errors supported determining the uncertainty of the vertical and volumetric changes with a confidence level of 68% and 95%, highlighting the significant change detection. The results indicate a volume increase of 22 m³ and a loss of 2 m³ in the study period, considering a confidence level of 95%. In particular, the reef lost an area between September 2020 and March 2021, when the reef was exposed to air for more than ten hours. The reef top elevation increased from -15.5 ± 3.6 cm NHN in March 2020 to -14.8 ± 3.9 cm NHN in March 2022, but the study could not determine a consistent annual growth rate. As long as the environmental and hydrodynamic conditions are given, the reef is expected to continue growing on higher elevations of tidal flats, only limited by air exposure. The growth rates suggest a further reef expansion, resulting in an increased roughness surface area that contributes to flow damping and altering sedimentation processes. Further studies are proposed to investigate the volumetric changes and limiting stressors, providing robust evidence regarding the influence of air exposure on reef loss.

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Section: Data Collectionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Low-cost UAV monitoring: insights into seasonal volumetric changes of an oyster reef in the German Wadden Sea

Hoffmann,

Pfennings,

Hitzegrad

et al. 2023

Front. Mar. Sci.

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“…Aerial imaging significantly contributes to project documentation and marketing efforts in architectural design. Drones capture high-quality photographs and videos showcasing completed projects from unique perspectives (Casella et al, 2022;Chen et al, 2021;Molnar, 2018;Cunha et al, 2022;Ryan et al, 2022;Maxwell, 2022). These visuals are instrumental in creating compelling portfolios, marketing materials, and presentations for architects and developers.…”

Section: Project Documentation and Marketingmentioning

confidence: 99%

Leading-Edge Technologies for Architectural Design: A Comprehensive Review

Rane,

Choudhary,

Rane

2023

IJARP

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In architecture, the incorporation of state-of-the-art technologies is crucial for advancing design methodologies and achieving groundbreaking solutions. This exhaustive review delves into a diverse array of cutting-edge technologies reshaping the architectural design landscape. The scrutinized technologies not only amplify the efficiency of design processes but also contribute to the development of sustainable, adaptable, and technologically advanced built environments. Commencing with an exploration of Artificial Intelligence (AI) in architectural design, the paper underscores how machine learning algorithms and neural networks are revolutionizing the conceptualization and optimization of architectural forms. Emphasis is placed on AI's capacity to analyze extensive datasets, predict design trends, and generate alternative designs, thereby fostering creativity and streamlining the design process. The immersive potential of Virtual Reality (VR) and Augmented Reality (AR) in architecture is thoroughly examined. The paper elucidates how these technologies are not only transforming the visualization of designs but also facilitating collaborative design processes, enabling stakeholders to experience spaces before the commencement of construction. Parametric Design and Computational Modeling are scrutinized extensively, showcasing their pivotal role in crafting intricate and optimized structures. The exploration extends to Building Information Modeling (BIM), elucidating its significance in promoting collaboration, reducing errors, and streamlining the entire building lifecycle. Moreover, Sustainable Building Materials and Technologies, Generative Design, ChatGPT, 3D/4D/5D/6D Printing, Responsive Architecture, Drones and Aerial Imaging, Digital Twin Technology are focused. Smart Building Systems, integrating IoT technologies, are explored for their role in enhancing building performance, energy efficiency, and occupant comfort.

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“…These techniques also scale up forested wetlands, such as the coastal swamp oak forest (Conroy et al, 2022) and mangroves (Jones et al, 2020). Scaling down from wetlands, with increased spatial resolution drones can also help map the structure of fine-scale features and ecosystems such as coral reefs (Casella et al, 2022(Casella et al, , 2017 and oyster reefs (Windle et al, 2022). In addition to mapping ecological features, drone mapping images can be processed using SfM photogrammetry techniques to build digital terrain models (DTMs) and digital surface models (DSMs).…”

Section: Coastal Ecosystems Are Structurally Complexmentioning

confidence: 99%

The unique value proposition for using drones to map coastal ecosystems

Joyce

Fickas

Kalamandeen

2022

Camb. prisms Coast. futures

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Coasts are undeniably regions of critical importance for a range of environmental, socio-cultural, and economic reasons. Yet they are also areas of intense anthropogenic impact, and are particularly susceptible to climate change related concerns. As such, it is imperative that we have the means to monitor and manage them in a sustainable manner. Drone technology has emerged as providing a unique value proposition in coastal environments to support data-driven monitoring and management decisions. With their highly detailed data capture capability, drones are particularly well suited to map the spatial heterogeneity, structural complexity, and temporally dynamic nature of coasts. Further, they are readily accessible to the coastal populations and can promote grassroots action by the very people whose lives and livelihoods the coasts support. Herein we cover several of the leading innovations in using aerial drones to map coastal ecosystems. We then consider how general trends and technology projections including artificial intelligence, as well as cloud and edge computing offer opportunities for the future of drone mapping and monitoring in a coastal context. While the challenge of change is inevitable, embracing the opportunities it provides will allow us to better understand and live sustainably with and within our coastal ecosystems.

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Assessing the relative accuracy of coral heights reconstructed from drones and structure from motion photogrammetry on coral reefs

Cited by 13 publications

References 42 publications

Low-cost UAV monitoring: insights into seasonal volumetric changes of an oyster reef in the German Wadden Sea

Low-cost UAV monitoring: insights into seasonal volumetric changes of an oyster reef in the German Wadden Sea

Leading-Edge Technologies for Architectural Design: A Comprehensive Review

The unique value proposition for using drones to map coastal ecosystems

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