{"help": "https://data.gov.au/data/api/3/action/help_show?name=package_show", "success": true, "result": {"archived": false, "author_email": null, "contact_point": "unknown", "creator_user_id": "c2fbbe4a-4ba0-4945-808b-67454605a4cf", "duplicate_score": 2, "geospatial_topic": [], "id": "9c635e53-2e62-4b13-a4e9-e390e82e3ddc", "isopen": false, "license_id": "cc-by", "license_title": "Creative Commons Attribution 3.0 Australia", "license_url": "http://creativecommons.org/licenses/by/3.0/au/", "maintainer": null, "maintainer_email": null, "metadata_created": "2025-06-25T22:12:22.209875", "metadata_modified": "2026-04-02T05:55:03.334880", "name": "vcmp-sites-shoreline-trends", "notes": "VCMP Sites - Shoreline Trends\n\nThe Shoreline Trends dataset features short-term and long-term shoreline trends across sites monitored by the Victorian Coastal Monitoring Program (VCMP) along Victoria's coastline, spatially represented as point data.\n\nThe VCMP drone survey short-term outputs include shorelines for each survey, taking the \u2018shoreline\u2019 as the +1 m AHD contour for Open Coast sites, and +0.5 m AHD contour for large bay sites.\n\nDrone survey data collection is performed as described in Pucino et al., 2021 and Ierodiaconou et al., 2022, and outlined as:\n- Data processing and quality control conducted within the Propeller platform (https://vcmp.prpellr.com), with additional manual quality control checks, to achieve a horizontal-vertical uncertainty of 0.1 m or better (Pucino et al., 2021), with output products of Digital Surface Models (DSM) and ortho-mosaics.\n- Analysis is conducted using a statewide framework of 30-m spaced transects\n\nShoreline change trends are determined for each transect, defining a \u2018short-term trend\u2019 as being based on the last 2-years of data.\n\nLong-term shoreline trends are obtained for the period 1988 to 2021 (34 years) using the satellite extracted, annually averaged shorelines from Digital Earth Australia (DEA) coastlines (Bishop-Taylor et al., 2021).\n\nAll shoreline data (short-term VCMP drone and long-term DEA satellite) are interpolated to the same set of 30-m spaced transects, based on the Digital Earth Australia 2019 product.\n\nAerial images are hosted and geo-rectified by DEECA's Coordinated Imagery Program. Based on control point checks by VCMP, newer images (approx. post-2000) are estimated to have horizontal uncertainty of 3-m or less. Older \nimages (pre-2000) can have greater uncertainty, estimated at up to 10-m. Older images (<1960) \nmay have larger errors (unconstrained) and should be treated with caution. \n\nFor all shoreline data sources (UAV, DEA, aerial), trends are calculated as a simple linear regression across \nthe full dataset, at each transect, for each data source. Standard deviations and 95% confidence intervals \nare also included for each data point.\n\nVertical uncertainty for the output digital surface model (DSM) is estimated at 0.1 m\n\nMore information about the Shoreline trend dataset and other datasets generated from the Victorian Coastal Monitoring Program can be found at https://www.marineandcoasts.vic.gov.au/__data/assets/pdf_file/0041/688397/VCMP_Sites_MetadataReport_Oct2023.pdf", "num_resources": 7, "num_tags": 1, "organization": {"id": "cfc07a01-a3a5-49f5-8b75-3733d942ee67", "name": "department-of-energy-environment-and-climate-action-victoria-government", "title": "Department of Energy, Environment and Climate Action", "type": "organization", "description": "DEECA brings together Victoria\u2019s energy, environment, water, agriculture, forestry, resources, climate action, and emergency management functions into a single department to maximise connections between the environment, community, industry and economy.", "image_url": "", 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