[null,null,[],[[["\u003cp\u003eThis dataset provides annual Landsat 5-derived images of Australia from 1998 to 2012, including a geomedian composite for an "average" cloud-free view and median absolute deviation layers for change detection.\u003c/p\u003e\n"],["\u003cp\u003eThe geomedian composite creates a representative image for each year by using a multi-dimensional median across all spectral bands.\u003c/p\u003e\n"],["\u003cp\u003eThree median absolute deviation layers (EMAD, SMAD, BCMAD) quantify landscape variance based on brightness, spectral response, and distribution of observations, respectively.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset is part of the Digital Earth Australia program and is available through Google Earth Engine with a spatial resolution of 25 meters.\u003c/p\u003e\n"],["\u003cp\u003eGeoscience Australia and NGIS are the data providers, and users can access further information and support through provided links.\u003c/p\u003e\n"]]],["This dataset, managed by Geoscience Australia, offers annual Landsat 5 imagery from 1998 to 2012, showing general conditions and yearly changes. It includes \"geomedian\" cloud-free images representing yearly averages. The dataset also provides three variance measures: Euclidean, Cosine, and Bray Curtis, which show deviations from the average. Access the data through Google Earth Engine with the provided snippet. Note: this dataset will be removed on March 1st, 2025.\n"],null,["# DEA Geometric Median and Median Absolute Deviation - Landsat 5 3.1.0 [deprecated]\n\n**Caution:** This dataset was removed on March 01, 2025. [Learn more.](https://developers.google.com/earth-engine/datasets/reference/removed_datasets#geoscience_australia_publisher_catalog) \ninfo\n\n\nThis dataset is part of a Publisher Catalog, and not managed by Google Earth Engine.\n\nContact [Geoscience Australia](https://www.ga.gov.au/contact-us)\n\nfor bugs or [view more datasets](https://developers.google.com/earth-engine/datasets/publisher/geoscience-aus-cat)\nfrom the Geoscience Australia Catalog. [Learn more about Publisher datasets](/earth-engine/datasets/publisher). \n[](https://www.ga.gov.au/) \n\nCatalog Owner\n: Geoscience Australia\n\nDataset Availability\n: 1998-01-01T00:00:00Z--2012-01-01T00:00:00Z\n\nDataset Provider\n:\n\n\n [Geoscience Australia](https://cmi.ga.gov.au/data-products/dea/645/dea-geometric-median-and-median-absolute-deviation-landsat#basics)\n\n\n [NGIS](https://ngis.com.au/)\n\nContact\n: [Geoscience Australia](https://www.ga.gov.au/contact-us)\n\nTags\n:\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#### Description\n\nThis 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.\n\nThe geomedian part of the product provides an \"average\" cloud-free image over the given year. The geomedian image is calculated with a multi-dimensional median, using all the spectral measurements from the satellite imagery at the same time in order to maintain the relationships among the measurements.\n\nThe median absolute deviation part of the product uses three measures of variance, each of which provides a \"second order\" high dimensional statistical composite for the given year. The three variance measures show how much an area varies from the \"average\" in terms of \"distance\" based on factors such as brightness and spectra:\n\n- Euclidean distance (EMAD)\n- Cosine (spectral) distance (SMAD)\n- Bray Curtis dissimilarity (BCMAD)\n\nTogether, they provide information on variance in the landscape over the given year and are useful for change detection applications.\n\nFor more information, please see the [DEA Geometric Median and Median Absolute Deviation Landsat](https://cmi.ga.gov.au/data-products/dea/645/dea-geometric-median-and-median-absolute-deviation-landsat)\n\nThis product is part of the [Digital Earth Australia Program](https://www.dea.ga.gov.au/)\n\n### Bands\n\n\n**Pixel Size**\n\n25 meters\n\n**Bands**\n\n| Name | Min | Max | Wavelength | Description |\n|-------------------------------------------------------|-----|---------|----------------|------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| `blue` | 0\\* | 10000\\* | 0.450-0.520 μm | Band blue surface reflectance geometric median. |\n| `green` | 0\\* | 10000\\* | 0.520-0.600 μm | Band green surface reflectance geometric median. |\n| `red` | 0\\* | 10000\\* | 0.630-0.690 μm | Band red surface reflectance geometric median. |\n| `near_infrared` | 0\\* | 10000\\* | 0.760-0.900 μm | Band near infrared surface reflectance geometric median. |\n| `shortwave_infrared_1` | 0\\* | 10000\\* | 1.550-1.750 μm | Band shortwave infrared 1 surface reflectance geometric median. |\n| `shortwave_infrared_2` | 0\\* | 10000\\* | 2.080-2.350 μm | Band shortwave infrared 2 surface reflectance geometric median. |\n| `Euclidean_distance_median_absolute_deviation` | 0\\* | 10000\\* | | The Median Absolute Deviation using Euclidean distance (EMAD). EMAD is more sensitive to changes in target brightness. |\n| `spectral_distance_median_absolute_deviation` | 0\\* | 10000\\* | | The Median Absolute Deviation using Cosine (spectral) distance (SMAD). SMAD is more sensitive to change in target spectral response. |\n| `Bray_Curtis_dissimilarity_median_absolute_deviation` | 0\\* | 10000\\* | | The Median Absolute Deviation using Bray Curtis dissimilarity (BCMAD). BCMAD is more sensitive to the distribution of the observation values through time. |\n| `count` | 0\\* | 400\\* | | The number of the available pixels used for calculation per calendar year. |\n\n\\* estimated min or max value\n\n### Terms of Use\n\n**Terms of Use**\n\n[CC-BY-4.0](https://spdx.org/licenses/CC-BY-4.0.html)\n\n### Citations\n\nCitations:\n\n- Roberts, D., Mueller, N., \\& Mcintyre, A. (2017). High-dimensional pixel composites from earth observation time series. IEEE Transactions on Geoscience and Remote Sensing, 55(11), 6254-6264.\n [doi:10.1109/TGRS.2017.2723896](https://doi.org/10.1109/TGRS.2017.2723896).\n Roberts, D., Dunn, B., \\& Mueller, N. (2018). Open data cube products using high-dimensional statistics of time series. IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 8647-8650.\n [doi:10.1109/IGARSS.2018.8518312](https://doi.org/10.1109/IGARSS.2018.8518312).\n\n### DOIs\n\n- \u003chttps://doi.org/10.1109/IGARSS.2018.8518312\u003e\n- \u003chttps://doi.org/10.1109/TGRS.2017.2723896\u003e\n**Important:** Earth Engine is a platform for petabyte-scale scientific analysis and visualization of geospatial datasets, both for public benefit and for business and government users. Earth Engine is free to use for research, education, and nonprofit use. To get started, please [register for Earth Engine access.](https://console.cloud.google.com/earth-engine) \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) \nThis 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 image over the given year. ... \nprojects/geoscience-aus-cat/assets/ga_ls5t_nbart_gm_cyear_3, australia,ga,geoscience-aus-cat,landsat-derived,publisher-dataset \n1998-01-01T00:00:00Z/2012-01-01T00:00:00Z \n-44.41 108.81 -9.13 157.82 \nGoogle Earth Engine \nhttps://developers.google.com/earth-engine/datasets\n\n- [https://doi.org/10.1109/TGRS.2017.2723896](https://doi.org/https://cmi.ga.gov.au/data-products/dea/645/dea-geometric-median-and-median-absolute-deviation-landsat#basics)\n- [https://doi.org/10.1109/TGRS.2017.2723896](https://doi.org/https://ngis.com.au/)\n- [https://doi.org/10.1109/TGRS.2017.2723896](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/projects_geoscience-aus-cat_assets_ga_ls5t_nbart_gm_cyear_3)"]]
