This polygon spatial dataset describes the mangrove communities for Darwin Harbour and its environs and was surveyed at a mapping scale of 1:25 000. The associated report notes an area of approximately 20,400 hectares of mangroves in Darwin Harbour and describes ten main mangrove associations or communities. The data provides a basis for identifying the extent and distribution of mangrove communities for Darwin Harbour and its environs.

1:100,000 coastal wetland vegetation mapping for the Queensland coastline including mangrove communities, saltpans and saline grasslands. Mangrove areas are classified based on the dominant genus (Ageiceras, Avicennia, Ceriops, Bruguiera, Rhizophora). This dataset was derived from automatic classification of 25m resolution Landsat TM images, colour aerial photography and ground truthing. The resulting data has a positional accuracy of 100 meters and a classification accuracy of approximately 80%. Additional metadata and access to the data is available on the Queensland Coastal Wetlands Resources Mapping data, eResearch Archive. https://era.daf.qld.gov.au/id/eprint/6187/ Format: Data currency is noted for each shapefile below: * Gulfwtlds.shp (36 MB, polygons, Datum: GDA94, 1995) - NT border to Flinders River - 1995 - SE Gulf of Carpentaria - 1987, 1988, 1991, 1992 * Northernwtlds.shp (11 MB, polygons, Datum: GDA94, 1987-1992) - Cape York Peninsula - 1986-88, 1991 * Centralwtlds.shp (26 MB, polygons, Datum: GDA94, 1986-) - Cape Trib to Bowling Green Bay - 1997-99 - The Burdekin Region - 1991 - The Bowen Region - 1994-95 - The Whitsunday Region - 1997 - Repulse Bay - 1989 - Central Qld - 1995, 1997 - The Curtis Coast Region - 1997 * Southernwtlds.shp (4 MB, polygons, Datum: GDA94) - Round Hill Head to Tin Can Inlet - 1997 - Moreton Region - 1995 An aggregate of all the four shapefiles above was prepared for the eAtlas, creating an aggregate for Queensland. In addition to this a shapefile was created describing the age of the various regions. These derived shapefiles are available for download on this page. All four regional shapefiles, and the Queensland aggregate contain the same attributes * AREA_M2: Area of the polygon in m² * CLASS: - Closed Aegiceras - Closed Avicennia - Closed Avicennia/Aegiceras - Closed Avicennia/Ceriops - Closed Bruguiera - Closed Ceriops - Closed Mixed - Closed Rhizophora - Closed Rhizophora/Aegiceras - Closed Rhizophora/Avicennia - Open Avicennia - Open Avicennia/Ceriops - Open Bruguiera - Open Ceriops - Saline Grassland - Saltpan - Samphire-dominated Saltpan - Sparse Seagrass - Water and Terrestrial Data Location: This dataset is filed in the eAtlas enduring data repository at: data\non-custodian\pre-2015\QLD_DEEDI_Coastal-wetlands_1987-1997\

This dataset includes a regional map of mangrove extent for Myanmar, Thailand, and Cambodia for the period of 1972-1977. The map was developed from Landsat 1-2 MSS Collection 1 Tier 2 imagery. Mangrove extent was generated using a Random Forest machine learning algorithm that effectively mapped a total of 15,420.51 km2 at the nominal Landsat scale of 30 m. This map of mangrove extent served as a baseline to analyze changes in mangrove distribution in Southeast Asia from 1970s through 2020. Southeast Asia is home to some of the planet's most carbon-dense and biodiverse mangrove ecosystems. There is still much uncertainty with regards to the timing and magnitude of changes in mangrove cover over the past 50 years. While there are several regional to global maps of mangrove extent in Southeast Asia for the early 21st century, data prior to the mid-1990s are limited due to the scarcity of Earth Observation (EO) data of sufficient quality and the historical limitations to publicly available EO data. The data are provided in Cloud optimized GeoTIFF format at 60-m resolution. In addition, a shapefile outlines the region of analysis.

This polygon spatial dataset describes the mangrove communities for Bynoe Harbour and its environs. The original field survey was undertaken in 1998 at a mapping scale of 1:25,000. The associated report notes an area of approximately 24,000 hectares of mangroves in Bynoe Harbour and describes ten main mangrove associations or communities. The data provides a basis for identifying the extent and distribution of mangrove communities for Bynoe Harbour and its environs. Mangrove mapping was updated over this area in a 2016 survey. See metadata record for Mangrove Community Mapping - Charles Point to Gunn Point. www.ntlis.nt.gov.au/metadata/export_data?type=html&metadata_id=87F656131848A609E050CD9B214417E1

This shapefile is the approximate location of mangroves within the boundary of Ten Thousand Islands NWR in 2005.

This shapefile is the approximate location of mangroves within the boundary of Ten Thousand Islands NWR in 2005.

This product (i.e. an Access database and csv files) contains data (longitude, latitude and physical data) that explains the predicted spatial patterns of benthic habitats for demersal fish and benthic invertebrates in the NMR. Predicted patterns for habitats represent point data on a 0.01 decimal degree grid covering most of the NMR (approximately 400,000 square km).

This shapefile is the approximate location of mangroves within the boundary of Ten Thousand Islands NWR in 2014.

This shapefile is the approximate location of mangroves within the boundary of Ten Thousand Islands NWR in 2014.

A supervised classification was applied to a Landsat TM5 image. This image was acquired on the 8th August 2004, 15 minutes after low tide. The image classification was applied on areas of clear waters up to three metres depth and for exposed regions of Moreton Bay. Field validation data was collected at 2800 survey sites by UQ, 18 Seagrass-Watch sites and 60 Port of Brisbane Corporation survey sites. GPS referenced field data were used as training areas for the image classification process. For this training the substrate DN signatures were extracted from the Landsat 5 TM image for field survey locations of known substrate cover, enabling a characteristic "spectral reflectance signature" to be defined for each target. The Landsat TM image, containing only those pixels in water < 3.0m deep, was then subject to minimum distance to means algorithm to group pixels with similar DN signatures (assumed to correspond to the different substrata). This process enabled each pixel to be assigned a label of either seagrass cover (0, 1-25 %, 25-50 %, 50-75 % and 75-100 %). The resulting raster data was then converted into a vector polygon file. Species information was added based on the field data and expert knowledge. Both polygon files were joined by overlaying features of remote sensing files with the EHMP field data to produce an output theme that contains the attributes and full extent of both themes. If polygons of remote sensing were within polygons of field data the assumption was made that the remote sensing polygon was showing more detail and the underlying field polygon was deleted.