This is a vegetation map of the Gwydir wetlands. It was produced using air photo interpretation from high resolution aerial imagery collected in August 2022 and January 2023. Map development began with the collection of high-resolution aerial colour (Red-Green-Blue) imagery. The imagery was provided as an orthographic mosaic (ie a straight down view) with a 40 cm ground sampling distance covering the whole study area at each wetland. This formed the primary input of information for vegetation extent mapping. This aerial imagery was acquired in August 2022 for the Gwydir Wetlands. In addition, 15 cm high-resolution colour imagery, collected in January 2023, was also sourced from another project and provided as an orthomosaic. This additional imagery helped inform the aerial interpretation of vegetation community extents for an eastern portion of the Gwydir Wetlands study area. Several interpreters were then trained in Aerial Photographic Interpretation (API) to visually analyse the imagery to identify and delineate different vegetation types. This was done based on their spectral characteristics, colour, texture, shape, spatial patterns and associations with predictive environmental layers (such as flood frequency categories, elevation and geomorphology type). Existing survey data was also used to help identify vegetation types from imagery. This included BioNet species data, floristic data and other grey literature. Oblique aerial handheld photos captured from a helicopter were also sourced from another project to inform the aerial imagery interpretation. A subset of the available oblique handheld photos was selected to correspond to the timing (within two years) of the 40cm aerial imagery acquired for vegetation map development. The subset of oblique handheld photos adopted to inform the air photo interpretation included photos collected between January-December 2022. A polygon layer divided into small regions was sourced to overlay on the 40cm aerial imagery. This spatial layer was produced using the Definiens eCognition software package. A computer-based image analysis tool known as segmentation was applied to a set of raster datasets with a 5m grid cell size. This produced a spatial layer of ‘segments’ or very small polygons based on the combined spectral and textural features of the input rasters (Roff et al., 2022). The segmented layer was overlayed on the 40cm aerial imagery. Interpreters then manually selected groups of segments and assigned classes (‘attributes’) to the polygons to delineate vegetation patterns. The use of the segmented spatial layer enabled more efficient mapping, as interpreters did not have to manually draw polygon linework with a mouse. Vegetation patterns were interpreted from the high-resolution 40cm aerial imagery at a scale of 1:25 000 for non-flood dependent vegetation and at a scale of 1:10 000 for wetland communities. The minimum map unit (smallest polygon) was 2 ha. Selected polygons from the segmentation process were initially assigned to an artificial class referred to as a Vegetation Photo Pattern (VPP), analogous to NSW Vegetation Classes (for more information on NSW Vegetation Classes see https://www.environment.nsw.gov.au/topics/animals-and-plants/biodiversity/nsw-bionet/the-nsw-vegetation-classification-framework ). The VVPs were aligned with plant community types (PCTs) as described in the NSW BioNet Vegetation Classification Database (see https://vegetation.bionet.nsw.gov.au/). Each PCT was also aligned to a vegetation functional group corresponding to the vegetation objectives in the Gwydir Wetlands and Macquarie Marshes LTWPs. The accuracy of the map vegetation functional groups was assessed using 780 independently collected field validation points. The overall accuracy was 0.77 and the Kappa statistic was 0.7. Accuracies and 95% confidence intervals for map individual map classes were: Non woody wetland: 0.78 (0.73-0.87) Flood dependent woodland 0.81 (0.76-0.86) River red gum

This is DRAFT metadata and will be updated in 2011. Vegetation communites of the Macquarie Marshes floodplain in 2008 were mapped by updating the linework and attributes of the 1991 Macquarie Marshes vegetation map (Wilson 1992) using digital aerial photography (50cm pixels) taken from March to May 2008 and field surveys conducted in May, October and November 2008. VIS_ID 3920

Vegetation Map of the Macquarie Marshes - This map includes a vegetation survey for 1991 carried out by Bob Wilson as a contract for NSW NPWS. All surveys provide a detailed map of upper canopy vegetation that has been interpreted from aerial photography. Mapping shows major vegetation associations and dominant flora. The complete set of maps and surveys is referenced as 'Macquarie Marshes Vegetation Surveys' in the Status Report, Vegetation Mapping in the Central West Region, Department of Land and Water Conservation 1998. pp73-75. Historical Vegetation Mapping in the Macquarie Marshes 1949-1991. This study aimed to quantify changes in the distribution of nine tree species in the Macquarie Marshes from 1949 to 1991. Aerial photography was digitised to produce GIS maps from both years, which were then compared to determine the changes in distribution over the 42 year period. Changes in distribution did not follow the same pattern for all tree species over the mapped period. While the River Red Gum community was found to be stable in its distribution, Black Box recorded a 38% decline in distribution over the same period. Land clearing represented the single greatest impact upon eucalypt distribution between the years 1949-1991. By contrast the acacias and dryland species expanded in ditribution over the same period, often exploiting areas from which eucalypts had been cleared. VIS_ID 794

The first basin-wide map of large stands of invasive Phragmites australis (common reed) in the coastal zone was created through a collaboration between the U.S. Geological Survey and Michigan Tech Research Institute (Bourgeau-Chavez et al 2013). This data set represents a revised version of that map and was created using multi-temporal PALSAR data and Landsat images from 2016-2017. In addition to Phragmites distribution, the data sets shows several land cover types including urban, agriculture, forest, shrub, emergent wetland, forested wetland, and some based on the dominant plant species (e.g., Schoenoplectus, Typha). The classified map was validated using over 400 field visits.This map covers the Green Bay peninsula and surrounding area on Lake Michigan.

This dataset consists of three Excel files containing multiple worksheets of data from a monitoring period starting in July 2023 and ending in April 2024, along with a set of three technical reports containing the monitoring methodology and findings generated from these datasets. The datasets capture water quality and hydrological data from a constructed wetland in Tully, within the Wet Tropics region of Queensland, Australia. The data were collected as part of a project assessing the wetland’s water treatment potential, specifically, its ability to remove dissolved inorganic nitrogen (DIN) and total suspended solids (TSS) from agricultural runoff. The Excel files include groundwater and surface water data from continuous, routine and event-based monitoring, including physicochemical parameters, nitrogen levels, total suspended solids (TSS), volatile suspended solids (VSS), particle size distribution, water velocity, local rainfall, and water heights at various sampling points. Informative one-off measurements include bore slug tests and cross-sectional area assessments of surface water sampling points. This dataset provides valuable insights into the hydrological and chemical characteristics of this wetland, enabling a comprehensive evaluation of its function and performance as treatment systems in a wet tropical environment, over a single wet season. The dataset supplied herein is derived from the Tully-Johnstone Wetland Monitoring Project conducted from July 2023 to March 2024. The primary purpose of the dataset is to assess the efficacy of constructed wetlands in the Wet Tropics region at removing dissolved inorganic nitrogen (DIN) and sediment from agricultural runoff. The data were collected to inform the development and validation of wetland models, to better understand the effectiveness of treatment wetlands at a landscape scale. The dataset is available on eAtlas for use by scientists and water quality managers, providing insights into water balance, contaminant removal, and hydrological processes occurring within a constructed wetland. The Tully wetland was constructed in 2019 as part of the Wet Tropics Major Integrated Project (WTMIP) and is known as Landscape Wetland #1 (LW01). This wetland was designed and constructed to optimise natural processes for improving water quality in the Great Barrier Reef (GBR) catchments. Further information on the treatment systems installed and monitored during the WTMIP can be found at https://mip.terrain.org.au/resources/. The 2023-24 monitoring activities, funded by the partnership between the Australian Government’s Reef Trust and the Great Barrier Reef Foundation, built on previous datasets from the WTMIP (2019-2021) and post-WTMIP monitoring (2021-2023), both funded by the Queensland Government, Office of the Great Barrier Reef. Methods: The methods used to gather and process this dataset follow a comprehensive monitoring plan designed according to the available funding. The monitoring plan incorporated recommendations from a multidisciplinary team of scientific partners and was aligned with established guidelines for wetland nitrogen removal monitoring. Data were collected from a constructed wetland in Tully, within the Wet Tropics region of Queensland, Australia. Data were collected from July 2023 to March 2024, including both routine and event-based sampling, focusing on groundwater and surface water quality, precipitation, and groundwater-surface water interactions. A combination of manual grab sampling and automatic ISCO Avalanche autosamplers was employed for surface water monitoring. The autosamplers were triggered by rising water levels, with the capacity to adjust sampling intervals to optimise coverage over the hydrograph during stream flow events. High-frequency surface water level recordings were gathered using Seametrics PT12 pressure and temperature sensors, telemetered continuously to the online platform eagle.io, while manual water velocity measurements were

The first basin-wide map of large stands of invasive Phragmites australis (common reed) in the coastal zone was created through a collaboration between the U.S. Geological Survey and Michigan Tech Research Institute (Bourgeau-Chavez et al 2013). This data set represents a revised version of that map and was created using multi-temporal PALSAR data and Landsat images from 2016-2017. In addition to Phragmites distribution, the data sets shows several land cover types including urban, agriculture, forest, shrub, emergent wetland, forested wetland, and some based on the dominant plant species (e.g., Schoenoplectus, Typha). The classified map was validated using over 400 field visits.

The first basin-wide map of large stands of invasive Phragmites australis (common reed) in the coastal zone was created through a collaboration between the U.S. Geological Survey and Michigan Tech Research Institute (Bourgeau-Chavez et al 2013). This data set represents a revised version of that map and was created using multi-temporal PALSAR data and Landsat images from 2016-2017. In addition to Phragmites distribution, the data sets shows several land cover types including urban, agriculture, forest, shrub, emergent wetland, forested wetland, and some based on the dominant plant species (e.g., Schoenoplectus, Typha). The classified map was validated using over 400 field visits.

The first basin-wide map of large stands of invasive Phragmites australis (common reed) in the coastal zone was created through a collaboration between the U.S. Geological Survey and Michigan Tech Research Institute (Bourgeau-Chavez et al 2013). This data set represents a revised version of that map and was created using multi-temporal PALSAR data and Landsat images from 2016-2017. In addition to Phragmites distribution, the data sets shows several land cover types including urban, agriculture, forest, shrub, emergent wetland, forested wetland, and some based on the dominant plant species (e.g., Schoenoplectus, Typha). The classified map was validated using over 400 field visits.This map covers the coastal regions of Michgan along the southern portion Lake Huron including Saginaw Bay, Lake St. Clair, Lake Erie, and northeastern Ohio.

The first basin-wide map of large stands of invasive Phragmites australis (common reed) in the coastal zone was created through a collaboration between the U.S. Geological Survey and Michigan Tech Research Institute (Bourgeau-Chavez et al 2013). This data set represents a revised version of that map and was created using multi-temporal PALSAR data and Landsat images from 2016-2017. In addition to Phragmites distribution, the data sets shows several land cover types including urban, agriculture, forest, shrub, emergent wetland, forested wetland, and some based on the dominant plant species (e.g., Schoenoplectus, Typha). The classified map was validated using over 400 field visits.This map covers the coastal regions of Michgan along the southern portion Lake Huron including Saginaw Bay, Lake St. Clair, Lake Erie, and northeastern Ohio.

Polygons showing the extent and types of wetlands in Victoria based on photography taken during the 1970's and 80's. Wetlands are classified into primary categories based on water regimes and subdivided into sub areas based on vegetation or hydologic attributes. The polygon boundaries were derived from digitizing marked up aerial photography interpretation.