The Canyons MCZ DY200 eQA drop camera analysis

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    "description": "2.\tProject Summary\nIn September 2025, NOC and JNCC conducted a survey aboard the RSS Discovery (DY200) gathering evidence to monitor The Canyons MCZ and inform assessment of the condition of the designated features of the site.\nThe Canyons MCZ is in the far south-west corner of the UK continental shelf and is unique within the context of England\u0027s largely shallow seas due to its depth, sea-bed topography and the coral features it contains. The designated features of The Canyons MCZ are listed in Table 1.  More information on The Canyons MCZ can be found in the JNCC site information centre (https://jncc.gov.uk/our-work/the-canyons-mpa/).\nTable 1 Designated features of The Canyons MCZ\nProtected Feature\tFeature Type\nDeep-sea bed\tBroadscale marine habitat\nCold-water coral reefs\tFeature of Conservation Importance\nCoral gardens\tFeature of Conservation Importance\nSea-pen and burrowing megafauna communities\tFeature of Conservation Importance\nFigure 1 Location of The Canyons MCZ in the context of Marine Protected Areas proximal to the site with existing multibeam data from previous surveys to The Canyons MCZ from the MESH 2007, JC125 (2015) and JC237 (2022) surveys, and EMODnet bathymetry.\n3.\tProject Aims\nJNCC wishes to commission a contract to undertake the external quality assurance (eQA) analysis of seabed imagery (still images and video) collected on the DY200 survey via drop frame camera.\nMore detailed metadata will be provided as well as information from logs and the survey report. There are also representative images from the DY200 survey shown in Appendix E.\nTable 2 Number of stills and hours of video data to be analysed from DY200.\nData type\tQuantity\nDrop camera video\t5 hours video\nDrop camera stills\t300 images\nAUV images\t100 images\nThe following will be supplied to the successful contractor:\n\u2022\tAccess to BIIGLE project with all stills, video and label trees.\no\tPlease email the contacts for technical information (see page 1) if you would like to be added as a guest to the BIIGLE project to review the imagery.\n\u2022\tEpibiota Quality Assurance Framework Proforma spreadsheets\n4.\tOriginal Project Objectives\nTo meet the overall aims of this project, the objectives for the original analysis were:\n1.\tAnalysis of stills and video taken with the drop-camera system\n2.\tProvide substrate and taxonomic image reference collections for each substrate type and taxon identified from imagery.\n3.\tProduce a final analysis report including, at a minimum, sections detailing the methodology, results , and details of all QA work undertaken with any remedial action deemed necessary. The report should be no longer than 10,000 words including all tables and appendices and be provided electronically via email as a Microsoft Word document.\n4.\tCreate a subset of stills annotated in a way suitable to act as training data for artificial intelligence.\nThe contractor must:\n\u2022\tUndertake the analysis as set out below and adhering to the NMBAQC Epibiota interpretation guidelines (Turner et al, 2016). Please note these guidelines are currently being updated by JNCC - the contractor must check with JNCC if the updated guidelines are available when the contract starts.\n\u2022\tUse BIIGLE to annotate video and stills as described below. Alternative image annotation software may be used subject to agreement with the project officer.\n\u2022\tEnsure that stills and video references used in analysis outputs are identical to those used in the naming of the original media to enable future reconciliation between data and media. If identical naming is not possible, a suitable alternative should be sought with JNCC.\nSome information, where specified, may be recorded directly into the proformas provided. The majority will be recorded first into BIIGLE and then used to populate the proforma. No analysis additional to what is described in this document is required. Any deviation from this methodology should be approved in writing by the project officer.\n4.1.\tAnalysis of video data from drop-camera\nVideo should be analysed in BIIGLE using the label trees shown in Table 2. A high-level review should be conducted as described in section 2.1 of Turner et al (2016). Annotations can be added to videos as either tier 1 or tier 2 annotations depending on the label tree used. More details on the video annotation tiers and how they should be applied are provided in Appendix A.\nVideo will be analysed to extract the following information (all information should be recorded using the provided BIIGLE label trees, unless specified otherwise):\n1.\tVideo should be segmented into areas of continuous broadscale seabed habitat type (detailed in step 2) greater than or equal to 5 m along transect distance; JNCC will provide positional information for this purpose. The segment label tree should be used to delineate these segments and labels from other trees should be attached to each segment using the \"add label\" tool in BIIGLE.\n2.\tThe Marine Habitat Classification of Britain and Ireland (v 22.04) will be used, and a new segment should be started if the habitat classification changes.\n3.\tEach segment will be assigned image quality scores using labels from the following two label trees. Further analysis of video segments will be dependent on the image quality score. For example, if a segment is given a score of zero, no further analysis should be carried out for that segment.\na.\tNMBAQC image quality, a summary of these scores is shown in Table 4 and described in more detail in section 2.1 of Turner et al (2016).\nb.\tJNCC image quality, a summary of these labels is shown in Table 74.\n4.\tIdentify evidence of anthropogenic impacts on the seabed:\na.\tUse the litter label tree to record the presence of litter using the categories listed in Annex 5.1 of the Joint Research Centres Guidance on Monitoring of Marine Litter in European Seas6.\nb.\tUse the Anthropogenic label tree to annotate trawl marks or anthropogenic impacts other than litter. This will not be a complete label tree and new labels may need to be added to the label tree.\n5.\tUse the biotope label tree to assign biotopes, up to level 6 of the Marine habitat classification of Britain and Ireland hierarchy and in accordance with Parry (2019)7.\nA reference collection of representative images must be provided for each discreet habitat and biotope identified.\n\u2003\nTable 3 Label trees for video annotation and the annotation type which should be used for each label tree\nVideo analysis label tree\tVideo annotation type\nSegment\tTier 1\nMarine habitat classification of Britain and Ireland (v 22.04)\tTier 1\nJNCC image quality\tTier 1\nNMBAQC image quality\tTier 1\nBiotope\tTier 1\nCoral Gardens (Henry and Roberts, 2014) (See Appendix D)\nTier 1\nSeapen and Burrowing Megafauna\n(please note the definition of this FOCI currently being updated by JNCC - see Appendix B)\tTier 1\nDeep Sea Sponge Aggregations (Henry and Roberts, 2014)\nTier 1\nCoral Reef (if present)\tTier 1\nBurrows\tTier 1\nLitter\tTier 2\nAnthropogenic\tTier 2\nTable 4 Summary of NMBAQC image quality categories (Turner et al., 2016)\nTable 5 JNCC image quality categories\n\u2022\tImagery quality level\t\u2022\tDescription\n\u2022\tFauna\t\u2022\tMost fauna can be identified (e.g. including smaller taxa such as brittlestars etc.)\n\u2022\tConspicuous fauna\t\u2022\tLarge and conspicuous fauna can be identified (e.g. sponges, soft corals etc.)\n\u2022\tSubstrate\t\u2022\tThe substrate type can be identified, but the fauna cannot (e.g. the water column is obscured / the camera is too high off the seabed)\n\u2022\tZero\t\u2022\tNo visibility of the seabed, substrate cannot be identified.\n4.2.\tAnalysis of stills data from drop-camera\nStills should be analysed in BIIGLE using the label trees shown in Table 5. Annotations should be added to stills as either tier 1 or tier 2 labels depending on the label tree used. Some tier 1 labels may be added directly into the proforma (see below). More details on the still annotation types and how they should be applied are provided in Appendix A.\nTable 6 Label trees for stills annotation and the annotation type which should be used for each label tree\nStills analysis label tree\tStills annotation type\nNMBAQC image quality\tTier 1\nJNCC image quality\tTier 1\nSubstrate\tTier 1\nBiota\tTier 2\nLaser points\tTier 2\nLitter\tTier 2\nAnthropogenic\tTier 2\nStills will be analysed to extract the following information:\n1.\tEach still will be assigned image quality scores using labels from the following two label trees. Further analysis of the still image will be dependent on the image quality score. For example, if a still image is given a score of \u0027very poor\u0027 and \u0027substrate\u0027, no taxonomic identification should be carried out for that still image.\na.\tNMBAQC image quality, a summary of these scores is shown in Table 3 and described in more detail in section 2.1 of Turner et al 2016.\nb.\tJNCC image quality, a summary of these labels is shown in Table 74.\n2.\tIdentification and enumeration of epifauna, JNCC will provide a reference collection built from images previously taken in these sites. Annotations made using the Biota label tree. For each still image being analysed, identify, and quantify all8:\na.\tSolitary and/or erect epifaunal species present.\nb.\tBioturbation traces using counts (achieved by using the point annotation tool within BIIGLE).\nc.\tColonial and/or encrusting epifaunal species present as far as possible (using percentage cover (achieved by using the polygon, magic wand, or brush tools within BIIGLE).\n3.\tRecord substrate type and Faunal Turf cover to nearest 10% directly to proforma.",
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