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remote sensing

8 record(s)
 
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  • Time Series video to support Project C3 of the Marine Biodiversity Hub NESP programme 2015/2016. The video illustrates coastal change at the Southern end of Stradbroke Island QLD, using 118 Landsat observations from within the Australian Geoscience Data Cube (AGDC) from 1987-2016.

  • Time Series video to support Project C3 of the Marine Biodiversity Hub NESP programme. The video illustrates coastal change at the Murray Mouth and Lower Lakes, SA using 104 Landsat observations from within the Australian Geoscience Data Cube (AGDC) from 1988-2013.

  • This record provides an overview of the NESP Marine and Coastal Hub scoping study - "Identify knowledge gaps and solutions for extent mapping of Australian marine and coastal wetlands". No data outputs were created by this project. -------------------- Marine and coastal wetlands provide extensive ecosystem services to Australia, and a comprehensive inventory is required for effective conservation and protection. This project will identify key knowledge and inventory gaps and determine solutions to progress a consolidated inventory within the context of a wider review of national mapping capacity for wetlands. Gaps and solutions will be identified through targeted surveys and workshops with end-users and researchers following a review of relevant data and literature. A summary of the status of mapping habitat attributes and services such as blue carbon, coastal protection and shorebird habitat will be produced. The outcome will be identified prioritisation for future investment to fill knowledge gaps. Outputs • Report reviewing and synthesising knowledge gaps in inventory mapping of marine and coastal wetlands, identifying effective solutions, and guiding subsequent research projects for enhancing wetland mapping [written] ---No data outputs were created by this project.---

  • Time Series video to support Project C3 of the Marine Biodiversity Hub NESP 2015-2016 programme. The video illustrates coastal change at the entrance to Moreton Bay QLD, using 118 Landsat observations from within the Australian Geoscience Data Cube (AGDC) from 1987-2016.

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    The aim of this study was to create a seagrass presence/absence map for the optically complex waters of Moreton Bay. The capability to map seagrass meadows in waters of varying clarity using a consistent and repeatable method is an invaluable resource for conservation and management of seagrass regionally and globally. The map was created using an adaptation of a Google Earth Engine (GEE) cloud processing and machine learning algorithm which for seagrass, utilized citizen science spot check field data, Landsat 8 OLI imagery pulled directly from GEE, a bathymetry layer (30 m), slope derived from depth and a coral mask. This dataset consists of a shapefile that shows seagrass presence (≥ 25 % cover) and substrate mapped simultaneously for the turbid waters of the Western Bay coastline and the optically clear waters of the Eastern Banks, Moreton Bay, Queensland, Australia. This record contains a snapshot of the data taken for use in Seamap Australia (a national benthic habitat map; https://seamapaustralia.org). View the original record at: https://doi.pangaea.de/10.1594/PANGAEA.937501

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    Mangroves are a globally important ecosystem subject to significant anthropogenic and climate impacts. Tidally submerged forests and those that occur in arid and semi-arid regions are particularly susceptible to sea level rise or are growing at the margins of their their ecophysiological limits. The spatial extent of these types of mangroves over broad scales are typically poorly documented as their structural and environmental characteristics make them difficult to detect using remote sensing models. This study utilised the entire Landsat 8 satellite collection between January 2014 and June 2021. A new cloud-based time-series method was used that accounts for tidal variance in detecting mangrove areas that are periodically inundated and have historically been difficult to detect with traditional remote sensing methods. A habitat area model was derived for remote North-western Australia and detected an additional 32% (76,048 hectares) of mangroves that were previously undocumented. The accuracy of the model was assessed within the distinct geomorphic zones of the region through visual validation from high-resolution imagery. See accompanying report for full methodology: Hickey, S.M.; Radford, B. Turning the Tide on Mapping Marginal Mangroves with Multi-Dimensional Space–Time Remote Sensing. Remote Sens. 2022, 14, x. https://doi.org/10.3390/rs14143365

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    Digitised habitat layers for the New South Wales continental shelf predominantly to 3NM. The shape file contains polygons of areas of 1) reef and 2) unconsolidated seafloor types as interpreted from a number of remote sensing methods predominantly mulitbeam, LIDAR (LADS) and Aerial Imagery obtained in surveys across 2005-2013.

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    Digitised habitat layers for the southern section of the Solitary Islands Marine Park and Solitary Islands Marine Reserve, NSW. Includes reef and unconsolidated seafloor types as interpreted from a series of high resolution bathymetry and backscatter data obtained during swath surveys 2005-2012.