The National Intertidal Digital Elevation Model (NIDEM; Bishop-Taylor et al. 2018, 2019) is a continental-scale elevation dataset for Australia's exposed intertidal zone. NIDEM provides the first three-dimensional representation of Australia's intertidal sandy beaches and shores, tidal flats and rocky shores and reefs at 25 m …
This product provides statistical tools to exploit the time series of Landsat 5 data available in Digital Earth Australia, providing annual images of general conditions and how much an area changes for a given year. The geomedian part of the product provides an "average" cloud-free …
This product provides statistical tools to exploit the time series of Landsat 7 data available in Digital Earth Australia, providing annual images of general conditions and how much an area changes for a given year. The geomedian part of the product provides an "average" cloud-free …
This product provides statistical tools to exploit the time series of Landsat 8 and 9 data available in Digital Earth Australia, providing annual images of general conditions and how much an area changes for a given year. For calendar years 2022 onwards, Landsat 8 and …
Digital Earth Australia (DEA) Land Cover provides annual land cover classifications for Australia using the Food and Agriculture Organisation Land Cover Classification System taxonomy Version 2 (Di Gregorio and Jansen, 1998; 2005). DEA Land Cover translates over 30 years of satellite imagery into evidence of …
Digital Earth Australia (DEA) Water Observations uses an algorithm to classify each pixel from Landsat satellite imagery as 'wet', 'dry', or 'invalid'. Water Observations Statistics provides information on how many times each year the Landsat satellites were able to clearly see an area, how many …
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],[],[[["\u003cp\u003eGeoscience Australia empowers decision-makers with Earth observation services, expert advice, and valuable data.\u003c/p\u003e\n"],["\u003cp\u003eThe platform offers a range of datasets including a national intertidal digital elevation model, land cover classifications, and water observation statistics.\u003c/p\u003e\n"],["\u003cp\u003eDatasets leverage satellite imagery, particularly Landsat, to provide insights into Australia's environment.\u003c/p\u003e\n"],["\u003cp\u003eData is accessible to government, industry, and the public, promoting broader use and understanding of Earth observation data.\u003c/p\u003e\n"],["\u003cp\u003eGeoscience Australia actively advances remote sensing science and ensures data stewardship for continued access and utilization.\u003c/p\u003e\n"]]],["Geoscience Australia provides Earth observation services, advice, and data for decision-making. They ensure access to remotely sensed information, promote satellite imagery use, and advance remote sensing science. They also steward data and coordinate national imagery during disasters. Their datasets include the National Intertidal Digital Elevation Model, and various DEA products, exploiting Landsat data, to show annual land changes, land cover classifications, and water observation statistics for Australia.\n"],null,["# Geoscience Australia provides Earth observation services, expert advice, and information for decision makers. Program objectives are:\n\n- ensure continuity of access to remotely sensed information in support of government priorities.\n- promote use and value of satellite imagery within government, industry and the wider community.\n- advance remote sensing science through extracting value and use of EOS to its full potential\n- provide data stewardship to ensure access to data, and\n- provide national imagery coordination for disasters and emergencies. \n[](https://www.ga.gov.au/) \n-\n\n |---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n | [### National Intertidal Digital Elevation Model 25m 1.0.0 \\[deprecated\\]](/earth-engine/datasets/catalog/projects_geoscience-aus-cat_assets_NIDEM) |\n | The National Intertidal Digital Elevation Model (NIDEM; Bishop-Taylor et al. 2018, 2019) is a continental-scale elevation dataset for Australia's exposed intertidal zone. NIDEM provides the first three-dimensional representation of Australia's intertidal sandy beaches and shores, tidal flats and rocky shores and reefs at 25 m ... |\n | [australia](/earth-engine/datasets/tags/australia) [dem](/earth-engine/datasets/tags/dem) [ga](/earth-engine/datasets/tags/ga) [geoscience-aus-cat](/earth-engine/datasets/tags/geoscience-aus-cat) [landsat-derived](/earth-engine/datasets/tags/landsat-derived) [publisher-dataset](/earth-engine/datasets/tags/publisher-dataset) |\n\n-\n\n |------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n | [### DEA Geometric Median and Median Absolute Deviation - Landsat 5 3.1.0 \\[deprecated\\]](/earth-engine/datasets/catalog/projects_geoscience-aus-cat_assets_ga_ls5t_nbart_gm_cyear_3) |\n | This product provides statistical tools to exploit the time series of Landsat 5 data available in Digital Earth Australia, providing annual images of general conditions and how much an area changes for a given year. The geomedian part of the product provides an \"average\" cloud-free ... |\n | [australia](/earth-engine/datasets/tags/australia) [ga](/earth-engine/datasets/tags/ga) [geoscience-aus-cat](/earth-engine/datasets/tags/geoscience-aus-cat) [landsat-derived](/earth-engine/datasets/tags/landsat-derived) [publisher-dataset](/earth-engine/datasets/tags/publisher-dataset) |\n\n-\n\n |------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n | [### DEA Geometric Median and Median Absolute Deviation - Landsat 7 3.1.0 \\[deprecated\\]](/earth-engine/datasets/catalog/projects_geoscience-aus-cat_assets_ga_ls7e_nbart_gm_cyear_3) |\n | This product provides statistical tools to exploit the time series of Landsat 7 data available in Digital Earth Australia, providing annual images of general conditions and how much an area changes for a given year. The geomedian part of the product provides an \"average\" cloud-free ... |\n | [australia](/earth-engine/datasets/tags/australia) [ga](/earth-engine/datasets/tags/ga) [geoscience-aus-cat](/earth-engine/datasets/tags/geoscience-aus-cat) [landsat-derived](/earth-engine/datasets/tags/landsat-derived) [publisher-dataset](/earth-engine/datasets/tags/publisher-dataset) |\n\n-\n\n |------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n | [### DEA Geometric Median and Median Absolute Deviation - Landsat 8 and 9 v4.0.0 \\[deprecated\\]](/earth-engine/datasets/catalog/projects_geoscience-aus-cat_assets_ga_ls8cls9c_gm_cyear_3) |\n | This product provides statistical tools to exploit the time series of Landsat 8 and 9 data available in Digital Earth Australia, providing annual images of general conditions and how much an area changes for a given year. For calendar years 2022 onwards, Landsat 8 and ... |\n | [australia](/earth-engine/datasets/tags/australia) [ga](/earth-engine/datasets/tags/ga) [geoscience-aus-cat](/earth-engine/datasets/tags/geoscience-aus-cat) [landsat-derived](/earth-engine/datasets/tags/landsat-derived) [publisher-dataset](/earth-engine/datasets/tags/publisher-dataset) |\n\n-\n\n |---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n | [### DEA Land Cover 1.0.0 \\[deprecated\\]](/earth-engine/datasets/catalog/projects_geoscience-aus-cat_assets_ga_ls_landcover_class_cyear_2) |\n | Digital Earth Australia (DEA) Land Cover provides annual land cover classifications for Australia using the Food and Agriculture Organisation Land Cover Classification System taxonomy Version 2 (Di Gregorio and Jansen, 1998; 2005). DEA Land Cover translates over 30 years of satellite imagery into evidence of ... |\n | [australia](/earth-engine/datasets/tags/australia) [ga](/earth-engine/datasets/tags/ga) [geoscience-aus-cat](/earth-engine/datasets/tags/geoscience-aus-cat) [landcover](/earth-engine/datasets/tags/landcover) [landsat-derived](/earth-engine/datasets/tags/landsat-derived) [publisher-dataset](/earth-engine/datasets/tags/publisher-dataset) |\n\n-\n\n |-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n | [### DEA Water Observations Statistics 3.1.6 \\[deprecated\\]](/earth-engine/datasets/catalog/projects_geoscience-aus-cat_assets_ga_ls_wo_fq_cyear_3) |\n | Digital Earth Australia (DEA) Water Observations uses an algorithm to classify each pixel from Landsat satellite imagery as 'wet', 'dry', or 'invalid'. Water Observations Statistics provides information on how many times each year the Landsat satellites were able to clearly see an area, how many ... |\n | [australia](/earth-engine/datasets/tags/australia) [ga](/earth-engine/datasets/tags/ga) [geoscience-aus-cat](/earth-engine/datasets/tags/geoscience-aus-cat) [landsat-derived](/earth-engine/datasets/tags/landsat-derived) [publisher-dataset](/earth-engine/datasets/tags/publisher-dataset) [water](/earth-engine/datasets/tags/water) |"]]
