End of the chain? Rugosity and fine-scale bathymetry from existing underwater digital imagery using structure-from-motion (SfM) technology

Storlazzi, Curt D.; Dartnell, Peter; Hatcher, Gerald A.; Gibbs, Ann E.

doi:10.1007/s00338-016-1462-8

Cited by 94 publications

(106 citation statements)

References 21 publications

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“…Previous studies have used structure from motion techniques to obtain measurement data from coral reefs [12,36,37], and while some studies have quantified measurement error in relation to 'true volume/surface area' as determined by laser scanning or traditional methods [10,13], no attempt to verify whether the measurements obtained using structure from motion were reproducible until now. Volume and surface area are basic measurements, and the implications of this study should also apply to studies that assess rugosity or other structural characteristics using this technique [9,11,50].…”

Section: Discussionmentioning

confidence: 99%

“…To date, a range of software packages have been used to create 3D models of coral reefs, including 123D Catch [12,36], Agisoft Photoscan [8,11,37,50], and Visual SFM [57]. While 123D Catch and Visual SFM have the benefit of being open access and, thus, freely available for all to use, both have limitations when compared to Agisoft Photoscan.…”

Section: Recommendations For Future Studiesmentioning

confidence: 99%

“…While such survey techniques are effective, they are limited by the precision of their measurements and the ease of directly comparing data from successive years or months. Recently, structure from motion has become prevalent as another tool for reef monitoring [8][9][10][11]. Structure from motion is an image processing technique that allows construction of accurate 3D models from overlapping successive photographs taken at various angles.…”

Section: Introductionmentioning

confidence: 99%

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How Reliable Is Structure from Motion (SfM) over Time and between Observers? A Case Study Using Coral Reef Bommies

et al. 2017

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Recent efforts to monitor the health of coral reefs have highlighted the benefits of using structure from motion-based assessments, and despite increasing use of this technique in ecology and geomorphology, no study has attempted to quantify the precision of this technique over time and across different observers. This study determined whether 3D models of an ecologically relevant reef structure, the coral bommie, could be constructed using structure from motion and be reliably used to measure bommie volume and surface area between different observers and over time. We also determined whether the number of images used to construct a model had an impact on the final measurements. Three dimensional models were constructed of over twenty coral bommies from Heron Island, a coral cay at the southern end of the Great Barrier Reef. This study did not detect any significant observer effect, and there were no significant differences in measurements over four sampling days. The mean measurement error across all bommies and between observers was 15 ± 2% for volume measurements and 12 ± 1% for surface area measurements. There was no relationship between the number of pictures taken for a reconstruction and the measurements from that model, however, more photographs were necessary to be able to reconstruct complete coral bommies larger than 1 m 3 . These results suggest that structure from motion is a viable tool for ongoing monitoring of ecologically-significant coral reefs, especially to establish effects of disturbances, provided the measurement error is considered.

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Section: Discussionmentioning

confidence: 99%

Section: Recommendations For Future Studiesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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How Reliable Is Structure from Motion (SfM) over Time and between Observers? A Case Study Using Coral Reef Bommies

et al. 2017

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“…the unitless ratio between the reef real surface area and its projected area, with a ratio of 1 indicating a flat reef while rugosity values > 1 indicate increasing structural complexity. Assuming a coral cover of 22 % in the Indo-Pacific (Bruno and Selig, 2007) and an average rugosity of 3 (Storlazzi et al, 2016), we can calculate a maximum flux of about 17.4 µmol DMS m −2 SSA d −1 , with the highest probabilities for fluxes ranging from 0.3 to 1.0 µmol DMS m −2 SSA d −1 . This flux is in good agreement with modelled fluxes based on continuous DMS measurements during the wet and dry seasons at Heron Island in the southern Great Barrier Reef that show coral-derived DMS fluxes of 0.2 µmol DMS m −2 SSA d −1 (Swan et al, 2017).…”

Section: F Franchini and M Steinke: Quantification Of Dimethyl Sulfmentioning

confidence: 99%

Quantification of dimethyl sulfide (DMS) production in the sea anemone <i>Aiptasia</i> sp. to simulate the sea-to-air flux from coral reefs

Franchini

Steinke

2017

Biogeosciences

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Abstract. The production of dimethyl sulfide (DMS) is poorly quantified in tropical reef environments but forms an essential process that couples marine and terrestrial sulfur cycles and affects climate. Here we quantified net aqueous DMS production and the concentration of its cellular precursor dimethylsulfoniopropionate (DMSP) in the sea anemone Aiptasia sp., a model organism to study coral-related processes. Bleached anemones did not show net DMS production whereas symbiotic anemones produced DMS concentrations (mean ± standard error) of 160.7 ± 44.22 nmol g −1 dry weight (DW) after 48 h incubation. Symbiotic and bleached individuals showed DMSP concentrations of 32.7 ± 6.00 and 0.6 ± 0.19 µmol g −1 DW, respectively. We applied these findings to a Monte Carlo simulation to demonstrate that net aqueous DMS production accounts for only 20 % of gross aqueous DMS production. Monte Carlo-based estimations of sea-to-air fluxes of gaseous DMS showed that reefs may release 0.1 to 26.3 µmol DMS m −2 coral surface area (CSA) d −1 into the atmosphere with 40 % probability for rates between 0.5 and 1.5 µmol m −2 CSA d −1 . These predictions were in agreement with directly quantified fluxes in previous studies. Conversion to a flux normalised to sea surface area (SSA) (range 0.1 to 17.4, with the highest probability for 0.3 to 1.0 µmol DMS m −2 SSA d −1 ) suggests that coral reefs emit gaseous DMS at lower rates than the average global oceanic DMS flux of 4.6 µmol m −2 SSA d −1 (19.6 Tg sulfur per year). The large difference between simulated gross and quantified net aqueous DMS production in corals suggests that the current and future potential for its production in tropical reefs is critically governed by DMS consumption processes. Hence, more research is required to assess the sensitivity of DMS-consumption pathways to ongoing environmental change in order to address the impact of predicted degradation of coral reefs on DMS production in tropical coastal ecosystems and its impact on future atmospheric DMS concentrations and climate.

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“…What the marine community is lacking is an integrated system where all the processes of acquisition, processing, analysis and output representation are gathered in a unique solution. In literature there are different examples about improving the collection or the analysis steps [16][17][18][19][20][21], where advanced low-cost techniques like structure from motion and digital photogrammetric are involved in order to estimate structural complexity of large reef areas. Anyway all these advances do not take in consideration the whole process from data acquisition to output visualization.…”

mentioning

confidence: 99%

DocuScooter: An Innovative Underwater Scooter add-on for Scuba Diving and Citizen Science

Panebianco

Scaradozzi

Ciuccoli

et al. 2017

IRATJ

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In order to obtain robust and measurable data from the marine environment, citizen science projects need user-friendly tools that, during dives, autonomously gather information in an easy, low-cost and integrated way. Data collected from different devices and by different untrained divers must have good estimation of the position where the information has been acquired. With this goal, in the context of the Green Bubbles project, a novel platform, called DocuScooter has been designed and developed. DocuScooter implements all the algorithms to filter and merge data with correct timestamp and position preparing the complete mission report. After the mission, the diver can upload the report on an appropriate web service to produce a 3D documentation. In order to obtain the underwater position during the dive, a tailored device compatible with the platform is also presented. Result of the prototype of the platform and the first results of the position estimation algorithm are presented and discussed.

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End of the chain? Rugosity and fine-scale bathymetry from existing underwater digital imagery using structure-from-motion (SfM) technology

Cited by 94 publications

References 21 publications

How Reliable Is Structure from Motion (SfM) over Time and between Observers? A Case Study Using Coral Reef Bommies

How Reliable Is Structure from Motion (SfM) over Time and between Observers? A Case Study Using Coral Reef Bommies

Quantification of dimethyl sulfide (DMS) production in the sea anemone <i>Aiptasia</i> sp. to simulate the sea-to-air flux from coral reefs

DocuScooter: An Innovative Underwater Scooter add-on for Scuba Diving and Citizen Science

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End of the chain? Rugosity and fine-scale bathymetry from existing underwater digital imagery using structure-from-motion (SfM) technology

Cited by 94 publications

References 21 publications

How Reliable Is Structure from Motion (SfM) over Time and between Observers? A Case Study Using Coral Reef Bommies

How Reliable Is Structure from Motion (SfM) over Time and between Observers? A Case Study Using Coral Reef Bommies

Quantification of dimethyl sulfide (DMS) production in the sea anemone &lt;i&gt;Aiptasia&lt;/i&gt; sp. to simulate the sea-to-air flux from coral reefs

DocuScooter: An Innovative Underwater Scooter add-on for Scuba Diving and Citizen Science

Contact Info

Product

Resources

About

Quantification of dimethyl sulfide (DMS) production in the sea anemone <i>Aiptasia</i> sp. to simulate the sea-to-air flux from coral reefs