diff --git a/dev/services/wms/ows_refactored/sea_ocean_coast/intertidal_c3/ows_intertidal_cfg.py b/dev/services/wms/ows_refactored/sea_ocean_coast/intertidal_c3/ows_intertidal_cfg.py index e7c0daf23..b4c0e416b 100644 --- a/dev/services/wms/ows_refactored/sea_ocean_coast/intertidal_c3/ows_intertidal_cfg.py +++ b/dev/services/wms/ows_refactored/sea_ocean_coast/intertidal_c3/ows_intertidal_cfg.py @@ -19,9 +19,11 @@ abstract_intertidal = """Geoscience Australia Sentinel-2 Landsat Intertidal Calendar Year Collection 3 -The DEA Intertidal product suite is the next generation of our DEA intertidal products that have been used across government and industry for helping better characterise and understand the complex intertidal zone that often defines the interface between land and sea. +The DEA Intertidal product suite maps the changing extent, elevation and topography of Australia's exposed intertidal zone, the complex zone that defines the interface between land and sea. -Incorporating both Sentinel-2 and Landsat data, the product suite adds a temporal component to our elevation product for the intertidal zone, enabling users to better monitor and understand some of the most dynamic regions of Australia's coastlines. With an improved tidal modelling capability, the product suite has been expanded to include a continental scale mapping of intertidal exposure over time, enabling scientists and managers to integrate the data into ecological and migratory species applications and modelling. +Incorporating both Sentinel-2 and Landsat data, the product suite provides an annual 10 m resolution elevation product for the intertidal zone, enabling users to better monitor and understand some of the most dynamic regions of Australia’s coastlines. Utilising an improved tidal modelling capability, the product suite includes a continental scale mapping of intertidal exposure over time, enabling scientists and managers to integrate the data into ecological and migratory species applications and modelling. + +https://knowledge.dea.ga.gov.au/data/product/dea-intertidal/ For service status information, see https://status.dea.ga.gov.au""" diff --git a/dev/services/wms/ows_refactored/sea_ocean_coast/intertidal_c3/style_intertidal_cfg.py b/dev/services/wms/ows_refactored/sea_ocean_coast/intertidal_c3/style_intertidal_cfg.py index 8ceb067e0..bc00d6299 100644 --- a/dev/services/wms/ows_refactored/sea_ocean_coast/intertidal_c3/style_intertidal_cfg.py +++ b/dev/services/wms/ows_refactored/sea_ocean_coast/intertidal_c3/style_intertidal_cfg.py @@ -152,7 +152,7 @@ style_intertidal_elevation_adaptive = { "name": "intertidal_elevation_adaptive", - "title": "Elevation (adaptive)", + "title": "Elevation", "abstract": "Intertidal elevation in metres above Mean Sea Level", "index_function": { "function": "ows_refactored.sea_ocean_coast.intertidal_c3.utils_intertidal.elevation_adaptive", @@ -181,7 +181,7 @@ style_intertidal_elevation_uncertainty_adaptive = { "name": "intertidal_elevation_uncertainty_adaptive", - "title": "Elevation uncertainty (adaptive)", + "title": "Elevation uncertainty", "abstract": "Intertidal elevation uncertainty", "index_function": { "function": "ows_refactored.sea_ocean_coast.intertidal_c3.utils_intertidal.uncertainty_adaptive", diff --git a/dev/services/wms/ows_refactored/sea_ocean_coast/ows_category_root_cfg.py b/dev/services/wms/ows_refactored/sea_ocean_coast/ows_category_root_cfg.py index 0c1714d75..26a09ffb0 100644 --- a/dev/services/wms/ows_refactored/sea_ocean_coast/ows_category_root_cfg.py +++ b/dev/services/wms/ows_refactored/sea_ocean_coast/ows_category_root_cfg.py @@ -11,6 +11,17 @@ "include": "ows_refactored.sea_ocean_coast.intertidal_c3.ows_intertidal_cfg.dea_intertidal_layer", "type": "python", }, + ] + }, + { + # HLTC Collection 2 (nested folder structure is defined below) + "include": "ows_refactored.sea_ocean_coast.ows_tide_cfg.layers", + "type": "python", + }, + { + "title": "Other", + "abstract": "", + "layers": [ { # ITEM 2.0 Collection 2 "include": "ows_refactored.sea_ocean_coast.intertidal.ows_extents_cfg.item_v2_00_layer", @@ -28,10 +39,5 @@ }, ] }, - { - # HLTC Collection 2 (nested folder structure is defined below) - "include": "ows_refactored.sea_ocean_coast.ows_tide_cfg.layers", - "type": "python", - }, ] } diff --git a/dev/terria/terria-cube-v8.json b/dev/terria/terria-cube-v8.json index a174210ff..41bd9eb4f 100644 --- a/dev/terria/terria-cube-v8.json +++ b/dev/terria/terria-cube-v8.json @@ -1097,99 +1097,18 @@ "tileErrorHandlingOptions": { "ignoreUnknownTileErrors": true }, - "shortReport": "For more information and to download data, visit the DEA Intertidal product description", + "shortReport": "For more information and to download data, visit the DEA Intertidal product description", "featureInfoTemplate": { "template": "

Digital Earth Australia Intertidal

This location had an elevation above modelled Mean Sea Level (MSL):

{{#terria.formatNumber}}{maximumFractionDigits:2}{{data.0.bands.elevation}}{{/terria.formatNumber}} metres (± {{#terria.formatNumber}}{maximumFractionDigits:2}{{data.0.bands.elevation_uncertainty}}{{/terria.formatNumber}})

It was exposed from tidal inundation for:

{{data.0.bands.exposure}}% of the {{#terria.formatDateTime}}{format: \"yyyy\"}{{data.0.time}}{{/terria.formatDateTime}} analysis period


At this location, satellite data included images of the coast at tide heights from {{#terria.formatNumber}}{maximumFractionDigits:2}{{data.0.bands.ta_lot}}{{/terria.formatNumber}} to +{{#terria.formatNumber}}{maximumFractionDigits:2}{{data.0.bands.ta_hot}}{{/terria.formatNumber}} metres above MSL, compared to the full astronomical tide range of {{#terria.formatNumber}}{maximumFractionDigits:2}{{data.0.bands.ta_lat}}{{/terria.formatNumber}} to +{{#terria.formatNumber}}{maximumFractionDigits:2}{{data.0.bands.ta_hat}}{{/terria.formatNumber}} metres above MSL.

This resulted in satellite data observing {{data.0.bands.ta_spread}}% of the astronomical tide range, and failing to observe the lowest {{data.0.bands.ta_offset_low}}% and highest {{data.0.bands.ta_offset_high}}% of tides.


For more information about intertidal mapping accuracy and limitations or to download data, visit the DEA Intertidal product description.

" }, "id": "ab1264fr", }, - { - "type": "wms", - "name": "DEA Intertidal Elevation (Landsat)", - "url": "https://ows.dev.dea.ga.gov.au/", - "opacity": 1, - "layers": "NIDEM", - "linkedWcsUrl": "https://ows.dev.dea.ga.gov.au/", - "linkedWcsCoverage": "NIDEM", - "leafletUpdateInterval": 750, - "tileErrorHandlingOptions": { - "ignoreUnknownTileErrors": true - }, - "shortReport": "For more information and to download data, visit the DEA Intertidal Elevation product description", - "featureInfoTemplate": { - "template": "

Digital Earth Australia Intertidal Elevation

Elevation relative to Mean Sea Level (approximately equivelent to AHD):

{{#terria.formatNumber}}{maximumFractionDigits:2}{{data.0.bands.nidem}}{{/terria.formatNumber}} metres

For more information about intertidal mapping accuracy and limitations or to download data, visit the DEA Intertidal Elevation product description.

" - }, - "id": "basdi2" - }, - { - "type": "wms", - "name": "DEA Intertidal Extents (Landsat)", - "url": "https://ows.dev.dea.ga.gov.au/", - "opacity": 1, - "layers": "ITEM_V2.0.0", - "linkedWcsUrl": "https://ows.dev.dea.ga.gov.au/", - "linkedWcsCoverage": "ITEM_V2.0.0", - "leafletUpdateInterval": 750, - "tileErrorHandlingOptions": { - "ignoreUnknownTileErrors": true - }, - "id": "AS31sf" - }, - { - "type": "wms", - "name": "DEA Intertidal Extents confidence", - "url": "https://ows.dev.dea.ga.gov.au/", - "opacity": 1, - "layers": "ITEM_V2.0.0_Conf", - "linkedWcsUrl": "https://ows.dev.dea.ga.gov.au/", - "linkedWcsCoverage": "ITEM_V2.0.0_Conf", - "leafletUpdateInterval": 750, - "tileErrorHandlingOptions": { - "ignoreUnknownTileErrors": true - }, - "id": "a54s23" - }, { "type": "geojson", - "name": "DEA Intertidal Extents polygons for data access", - "info": [ - { - "name": "Abstract", - "content": "The Intertidal Extents Model (ITEM v2.0) product analyses GA’s historic archive of satellite imagery to derive a model of the spatial extents of the intertidal zone throughout the tidal cycle. The model can assist in understanding the relative elevation profile of the intertidal zone, delineating exposed areas at differing tidal heights and stages.

The product differs from previous methods used to map the intertidal zone which have been predominately focused on analysing a small number of individual satellite images per location (e.g Ryu et al., 2002; Murray et al., 2012). By utilising a full 30 year time series of observations and a global tidal model (Egbert and Erofeeva, 2002), the methodology enables us to overcome the requirement for clear, high quality observations acquired concurrent to the time of high and low tide." - }, - { - "name": "Overview", - "content": "The Intertidal Extents Model product is a national scale gridded dataset characterising the spatial extents of the exposed intertidal zone, at intervals of the observed tidal range (Sagar et al. 2017). The current version (2.0) utilises all Landsat observations (5, 7, and 8) for Australian coastal regions (excluding off-shore Territories) between 1986 and 2016 (inclusive).

ITEM v2.0 has implemented an improved tidal modelling framework (see Sagar et al. 2018) over that utilised in ITEM v1.0. The expanded Landsat archive within the Digital Earth Australia (DEA) has also enabled the model extent to be increased to cover a number of offshore reefs, including the full Great Barrier Reef and southern sections of the Torres Strait Islands. The DEA archive and new tidal modelling framework has improved the coverage and quality of the ITEM v2.0 relative extents model, particularly in regions where AGDC cell boundaries in ITEM v1.0 produced discontinuities or the imposed v1.0 cell structure resulted in poor quality tidal modelling (see Sagar et al. 2017).

Examples of regions in ITEM v2.0 where these significant improvements have been noted include:

" - }, - { - "name": "Accuracy and limitations", - "content": "Due the sun-synchronous nature of the various Landsat sensor observations; it is unlikely that the full physical extents of the tidal range in any cell will be observed. Hence, terminology has been adopted for the product to reflect the highest modelled tide observed in a given cell (HOT) and the lowest modelled tide observed (LOT) (see Sagar et al. 2017). These measures are relative to Mean Sea Level, and have no consistent relationship to Lowest (LAT) and Highest Astronomical Tide (HAT).

The inclusion of the lowest (LMT) and highest (HMT) modelled tide values for each tidal polygon indicates the highest and lowest tides modelled for that location across the full time series by the OTPS model. The relative difference between the LOT and LMT (and HOT and HMT) heights gives an indication of the extent of the tidal range represented in the Relative Extents Model.

As in ITEM v1.0, v2.0 contains some false positive land detection in open ocean regions. These are a function of the lack of data at the extremes of the observed tidal range, and features like glint and undetected cloud in these data poor regions/intervals.

Methods to isolate and remove these features are in development for future versions. Issues in the DEA archive and data noise in the Esperance, WA region off Cape Le Grande and Cape Arid (Polygons 236,201,301) has resulted in significant artefacts in the model, and use of the model in this area is not recommended.

The Confidence layer is designed to assess the reliability of the Relative Extent Model. Within each tidal range percentile interval, the pixel-based standard deviation of the NDWI values for all observations in the interval subset is calculated. The average standard deviation across all tidal range intervals is then calculated and retained as a quality indicator in this product layer.

The Confidence Layer reflects the pixel based consistency of the NDWI values within each subset of observations, based on the tidal range. Higher standard deviation values indicate water classification changes not based on the tidal cycle, and hence lower confidence in the extent model.

Possible drivers of these changes include:

  1. Inadequacies of the tidal model, due perhaps to complex coastal bathymetry or estuarine structures not captured in the model. These effects have been reduced in ITEM v2.0 compared to previous versions, through the use of an improved tidal modelling framework
  2. Change in the structure and exposure of water/non-water features NOT driven by tidal variation. For example, movement of sand banks in estuaries, construction of man-made features (ports etc.).
  3. Terrestrial/Inland water features not influenced by the tidal cycle.
" - }, - { - "name": "File naming", - "content": "

THE RELATIVE EXTENTS MODEL v2.0

ITEM_REL_<TIDAL POLYGON NUMBER>_<LONGITUDE>_<LATITUDE>

TIDAL POLYGON NUMBER relates to the id of the tidal polygon referenced by the file

LONGITUDE is the longitude of the centroid of the tidal polygon

LATITUDE is the latitude of the centroid of the tidal polygon

THE CONFIDENCE LAYER v2.0

ITEM_STD_<TIDAL POLYGON NUMBER>_<LONGITUDE>_<LATITUDE>

TIDAL POLYGON NUMBER relates to the id of the tidal polygon referenced by the file

LONGITUDE is the longitude of the centroid of the tidal polygon

LATITUDE is the latitude of the centroid of the tidal polygon

The index of downloadable GeoTIFFs can be found here:

http://dap.nci.org.au/thredds/remoteCatalogService?catalog=http://dapds00.nci.org.au/thredds/catalogs/fk4/item_2_0.xml" - }, - { - "name": "References", - "content": "Egbert, G.D., Erofeeva, S.Y., 2002. Efficient Inverse Modeling of Barotropic Ocean Tides. J. Atmos. Oceanic Technol. 19, 183–204.

Murray, N.J., Phinn, S.R., Clemens, R.S., Roelfsema, C.M., Fuller, R.A., 2012. Continental Scale Mapping of Tidal Flats across East Asia Using the Landsat Archive. Remote Sensing 4, 3417–3426.

Ryu, J.-H., Won, J.-S., Min, K.D., 2002. Waterline extraction from Landsat TM data in a tidal flat: A case study in Gomso Bay, Korea. Remote Sensing of Environment 83, 442–456.

Sagar, S., Roberts, D., Bala, B., Lymburner, L., 2017. Extracting the intertidal extent and topography of the Australian coastline from a 28 year time series of Landsat observations. Remote Sensing of Environment 195, 153–169.

Sagar, S., Phillips, C., Bala, B., Roberts, D., Lymburner, L., 2018. Generating Continental Scale Pixel-Based Surface Reflectance Composites in Coastal Regions with the Use of a Multi-Resolution Tidal Model. Remote Sensing 10, 480." - } - ], - "url": "https://data.dea.ga.gov.au/ITEM_V2/Itemv2.geojson", - "featureInfoTemplate": { - "template": "The ITEM v2.0 relative model displays the modelled extents of the exposed intertidal zone, at percentile intervals of the observed tidal range (OTR), derived from Landsat imagery acquired between 1986 and 2016.

The full tidal range at this location is {{LMT}} to {{HMT}} metres relative to mean sea level (MSL), and the OTR at this location is between {{LOT}} and {{HOT}} relative to MSL.

The ITEM v2.0 confidence layer displays the standard deviation of the water index values (NDWI) derived across the tidal intervals used in generating the core ITEM relative product.

High values indicate regions where inundation patterns are not driven by tidal influences. This can be a result of change (shoreline, geomorphic, anthropogenic), or caused by errors in the underlying tidal model.

Coloured bars corresponding to the legend highlight the observations (black dots) and tidal range used to generate each ITEM interval, compared to the full modelled tidal range (light grey) at this location

Download the GeoTIFF products for this polygon here:

ITEM_REL_{{ID}}_{{lon}}_{{lat}}.tif

ITEM_STD_{{ID}}_{{lon}}_{{lat}}.tif", - "formats": { - "lat": { - "type": "number", - "minimumFractionDigits": 2 - }, - "lon": { - "type": "number", - "minimumFractionDigits": 2 - } - } - }, - "id": "6das2d" - } + "name": "DEA Intertidal 32 km tile grid", + "url": "https://dea-public-data-dev.s3-ap-southeast-2.amazonaws.com/derivative/ga_s2ls_intertidal_cyear_3/ga_summary_grid_c3_32km_coastal.geojson", + "id": "gtBB45t" + }, ] }, { @@ -1288,6 +1207,101 @@ "id": "I2dfs" } ] + }, + { + "id": "fe334s2", + "type": "group", + "name": "Other", + "members": [ + { + "type": "wms", + "name": "DEA Intertidal Elevation (Landsat)", + "url": "https://ows.dev.dea.ga.gov.au/", + "opacity": 1, + "layers": "NIDEM", + "linkedWcsUrl": "https://ows.dev.dea.ga.gov.au/", + "linkedWcsCoverage": "NIDEM", + "leafletUpdateInterval": 750, + "tileErrorHandlingOptions": { + "ignoreUnknownTileErrors": true + }, + "shortReport": "For more information and to download data, visit the DEA Intertidal Elevation product description", + "featureInfoTemplate": { + "template": "

Digital Earth Australia Intertidal Elevation

Elevation relative to Mean Sea Level (approximately equivelent to AHD):

{{#terria.formatNumber}}{maximumFractionDigits:2}{{data.0.bands.nidem}}{{/terria.formatNumber}} metres

For more information about intertidal mapping accuracy and limitations or to download data, visit the DEA Intertidal Elevation product description.

" + }, + "id": "basdi2" + }, + { + "type": "wms", + "name": "DEA Intertidal Extents (Landsat)", + "url": "https://ows.dev.dea.ga.gov.au/", + "opacity": 1, + "layers": "ITEM_V2.0.0", + "linkedWcsUrl": "https://ows.dev.dea.ga.gov.au/", + "linkedWcsCoverage": "ITEM_V2.0.0", + "leafletUpdateInterval": 750, + "tileErrorHandlingOptions": { + "ignoreUnknownTileErrors": true + }, + "id": "AS31sf" + }, + { + "type": "wms", + "name": "DEA Intertidal Extents confidence", + "url": "https://ows.dev.dea.ga.gov.au/", + "opacity": 1, + "layers": "ITEM_V2.0.0_Conf", + "linkedWcsUrl": "https://ows.dev.dea.ga.gov.au/", + "linkedWcsCoverage": "ITEM_V2.0.0_Conf", + "leafletUpdateInterval": 750, + "tileErrorHandlingOptions": { + "ignoreUnknownTileErrors": true + }, + "id": "a54s23" + }, + { + "type": "geojson", + "name": "DEA Intertidal Extents polygons for data access", + "info": [ + { + "name": "Abstract", + "content": "The Intertidal Extents Model (ITEM v2.0) product analyses GA’s historic archive of satellite imagery to derive a model of the spatial extents of the intertidal zone throughout the tidal cycle. The model can assist in understanding the relative elevation profile of the intertidal zone, delineating exposed areas at differing tidal heights and stages.

The product differs from previous methods used to map the intertidal zone which have been predominately focused on analysing a small number of individual satellite images per location (e.g Ryu et al., 2002; Murray et al., 2012). By utilising a full 30 year time series of observations and a global tidal model (Egbert and Erofeeva, 2002), the methodology enables us to overcome the requirement for clear, high quality observations acquired concurrent to the time of high and low tide." + }, + { + "name": "Overview", + "content": "The Intertidal Extents Model product is a national scale gridded dataset characterising the spatial extents of the exposed intertidal zone, at intervals of the observed tidal range (Sagar et al. 2017). The current version (2.0) utilises all Landsat observations (5, 7, and 8) for Australian coastal regions (excluding off-shore Territories) between 1986 and 2016 (inclusive).

ITEM v2.0 has implemented an improved tidal modelling framework (see Sagar et al. 2018) over that utilised in ITEM v1.0. The expanded Landsat archive within the Digital Earth Australia (DEA) has also enabled the model extent to be increased to cover a number of offshore reefs, including the full Great Barrier Reef and southern sections of the Torres Strait Islands. The DEA archive and new tidal modelling framework has improved the coverage and quality of the ITEM v2.0 relative extents model, particularly in regions where AGDC cell boundaries in ITEM v1.0 produced discontinuities or the imposed v1.0 cell structure resulted in poor quality tidal modelling (see Sagar et al. 2017).

Examples of regions in ITEM v2.0 where these significant improvements have been noted include:

" + }, + { + "name": "Accuracy and limitations", + "content": "Due the sun-synchronous nature of the various Landsat sensor observations; it is unlikely that the full physical extents of the tidal range in any cell will be observed. Hence, terminology has been adopted for the product to reflect the highest modelled tide observed in a given cell (HOT) and the lowest modelled tide observed (LOT) (see Sagar et al. 2017). These measures are relative to Mean Sea Level, and have no consistent relationship to Lowest (LAT) and Highest Astronomical Tide (HAT).

The inclusion of the lowest (LMT) and highest (HMT) modelled tide values for each tidal polygon indicates the highest and lowest tides modelled for that location across the full time series by the OTPS model. The relative difference between the LOT and LMT (and HOT and HMT) heights gives an indication of the extent of the tidal range represented in the Relative Extents Model.

As in ITEM v1.0, v2.0 contains some false positive land detection in open ocean regions. These are a function of the lack of data at the extremes of the observed tidal range, and features like glint and undetected cloud in these data poor regions/intervals.

Methods to isolate and remove these features are in development for future versions. Issues in the DEA archive and data noise in the Esperance, WA region off Cape Le Grande and Cape Arid (Polygons 236,201,301) has resulted in significant artefacts in the model, and use of the model in this area is not recommended.

The Confidence layer is designed to assess the reliability of the Relative Extent Model. Within each tidal range percentile interval, the pixel-based standard deviation of the NDWI values for all observations in the interval subset is calculated. The average standard deviation across all tidal range intervals is then calculated and retained as a quality indicator in this product layer.

The Confidence Layer reflects the pixel based consistency of the NDWI values within each subset of observations, based on the tidal range. Higher standard deviation values indicate water classification changes not based on the tidal cycle, and hence lower confidence in the extent model.

Possible drivers of these changes include:

  1. Inadequacies of the tidal model, due perhaps to complex coastal bathymetry or estuarine structures not captured in the model. These effects have been reduced in ITEM v2.0 compared to previous versions, through the use of an improved tidal modelling framework
  2. Change in the structure and exposure of water/non-water features NOT driven by tidal variation. For example, movement of sand banks in estuaries, construction of man-made features (ports etc.).
  3. Terrestrial/Inland water features not influenced by the tidal cycle.
" + }, + { + "name": "File naming", + "content": "

THE RELATIVE EXTENTS MODEL v2.0

ITEM_REL_<TIDAL POLYGON NUMBER>_<LONGITUDE>_<LATITUDE>

TIDAL POLYGON NUMBER relates to the id of the tidal polygon referenced by the file

LONGITUDE is the longitude of the centroid of the tidal polygon

LATITUDE is the latitude of the centroid of the tidal polygon

THE CONFIDENCE LAYER v2.0

ITEM_STD_<TIDAL POLYGON NUMBER>_<LONGITUDE>_<LATITUDE>

TIDAL POLYGON NUMBER relates to the id of the tidal polygon referenced by the file

LONGITUDE is the longitude of the centroid of the tidal polygon

LATITUDE is the latitude of the centroid of the tidal polygon

The index of downloadable GeoTIFFs can be found here:

http://dap.nci.org.au/thredds/remoteCatalogService?catalog=http://dapds00.nci.org.au/thredds/catalogs/fk4/item_2_0.xml" + }, + { + "name": "References", + "content": "Egbert, G.D., Erofeeva, S.Y., 2002. Efficient Inverse Modeling of Barotropic Ocean Tides. J. Atmos. Oceanic Technol. 19, 183–204.

Murray, N.J., Phinn, S.R., Clemens, R.S., Roelfsema, C.M., Fuller, R.A., 2012. Continental Scale Mapping of Tidal Flats across East Asia Using the Landsat Archive. Remote Sensing 4, 3417–3426.

Ryu, J.-H., Won, J.-S., Min, K.D., 2002. Waterline extraction from Landsat TM data in a tidal flat: A case study in Gomso Bay, Korea. Remote Sensing of Environment 83, 442–456.

Sagar, S., Roberts, D., Bala, B., Lymburner, L., 2017. Extracting the intertidal extent and topography of the Australian coastline from a 28 year time series of Landsat observations. Remote Sensing of Environment 195, 153–169.

Sagar, S., Phillips, C., Bala, B., Roberts, D., Lymburner, L., 2018. Generating Continental Scale Pixel-Based Surface Reflectance Composites in Coastal Regions with the Use of a Multi-Resolution Tidal Model. Remote Sensing 10, 480." + } + ], + "url": "https://data.dea.ga.gov.au/ITEM_V2/Itemv2.geojson", + "featureInfoTemplate": { + "template": "The ITEM v2.0 relative model displays the modelled extents of the exposed intertidal zone, at percentile intervals of the observed tidal range (OTR), derived from Landsat imagery acquired between 1986 and 2016.

The full tidal range at this location is {{LMT}} to {{HMT}} metres relative to mean sea level (MSL), and the OTR at this location is between {{LOT}} and {{HOT}} relative to MSL.

The ITEM v2.0 confidence layer displays the standard deviation of the water index values (NDWI) derived across the tidal intervals used in generating the core ITEM relative product.

High values indicate regions where inundation patterns are not driven by tidal influences. This can be a result of change (shoreline, geomorphic, anthropogenic), or caused by errors in the underlying tidal model.

Coloured bars corresponding to the legend highlight the observations (black dots) and tidal range used to generate each ITEM interval, compared to the full modelled tidal range (light grey) at this location

Download the GeoTIFF products for this polygon here:

ITEM_REL_{{ID}}_{{lon}}_{{lat}}.tif

ITEM_STD_{{ID}}_{{lon}}_{{lat}}.tif", + "formats": { + "lat": { + "type": "number", + "minimumFractionDigits": 2 + }, + "lon": { + "type": "number", + "minimumFractionDigits": 2 + } + } + }, + "id": "6das2d" + } + + ] } ] },