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The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

GQA Circular error probable (90%) from:

GQA Circular error probable (90%) to (exclusive):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

A Landsat Collection 1 Level-1 product identifier including the Collection processing levels, processing date, collection number, and collection tier category (e.g. ‘LE07_L1TP_098084_20210307_20210308_02_RT’) :

A Landsat scene ID including WRS path and row, year and day, ground station identifier and archive version number (e.g. ‘LC80900852021066LGN00’) :

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Landsat region_code is a scene path row: '{:03d}{:03d}.format(path,row)' For Sentinel it is MGRS code. In general it is a unique string identifier that datasets covering roughly the same spatial region share. :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

62 results

Time (local)	Label
2000-04-30 10:52:04	ga_ls7e_ard_3-0-0_107070_2000-04-30_final
2001-09-23 10:07:45	ga_ls7e_ard_3-0-0_100077_2001-09-23_final
2002-01-23 10:43:15	ga_ls7e_ard_3-1-0_106072_2002-01-23_final
2002-02-27 11:14:39	ga_ls7e_ard_3-0-0_111073_2002-02-27_final
2002-03-28 10:44:47	ga_ls7e_ard_3-0-0_106076_2002-03-28_final
2002-05-02 11:14:32	ga_ls7e_ard_3-0-0_111073_2002-05-02_final
2002-10-22 10:43:46	ga_ls7e_ard_3-0-0_106076_2002-10-22_final
2002-12-07 09:22:06	ga_ls7e_ard_3-0-0_092087_2002-12-06_final
2003-01-08 10:55:27	ga_ls7e_ard_3-0-0_108073_2003-01-08_final
2003-01-22 11:08:23	ga_ls7e_ard_3-0-0_110074_2003-01-22_final
2003-11-01 10:50:11	ga_ls7e_ard_3-0-0_107075_2003-11-01_final
2003-11-17 10:50:22	ga_ls7e_ard_3-0-0_107075_2003-11-17_final
2003-12-04 09:58:24	ga_ls7e_ard_3-0-0_098084_2003-12-04_final
2003-12-29 11:29:44	ga_ls7e_ard_3-1-0_113080_2003-12-29_final
2004-01-21 09:51:57	ga_ls7e_ard_3-0-0_098067_2004-01-21_final
2004-03-31 09:22:43	ga_ls7e_ard_3-0-0_092086_2004-03-30_final
2004-07-30 09:17:19	ga_ls7e_ard_3-0-0_091089_2004-07-29_final
2005-02-11 10:29:00	ga_ls7e_ard_3-0-0_103081_2005-02-11_final
2005-05-06 10:02:43	ga_ls7e_ard_3-0-0_099077_2005-05-06_final
2005-10-28 10:56:50	ga_ls7e_ard_3-0-0_108074_2005-10-28_final
2006-01-23 09:30:22	ga_ls7e_ard_3-0-0_093088_2006-01-23_final
2006-03-31 09:57:01	ga_ls7e_ard_3-0-0_098077_2006-03-31_final
2006-04-18 11:26:15	ga_ls7e_ard_3-0-0_112084_2006-04-18_final
2006-06-12 11:32:27	ga_ls7e_ard_3-0-0_113084_2006-06-12_final
2006-10-26 09:04:34	ga_ls7e_ard_3-0-0_089086_2006-10-25_final
2006-10-31 10:56:53	ga_ls7e_ard_3-0-0_108073_2006-10-31_final
2006-12-20 09:12:05	ga_ls7e_ard_3-0-0_090088_2006-12-19_final
2006-12-20 10:44:11	ga_ls7e_ard_3-0-0_106071_2006-12-20_final
2007-01-27 10:07:12	ga_ls7e_ard_3-0-0_100071_2007-01-27_final
2007-09-10 09:57:11	ga_ls7e_ard_3-0-0_098078_2007-09-10_final
2008-08-19 09:11:49	ga_ls7e_ard_3-0-0_090090_2008-08-18_final
2008-11-30 10:49:54	ga_ls7e_ard_3-0-0_107072_2008-11-30_final
2009-01-01 10:51:22	ga_ls7e_ard_3-0-0_107075_2009-01-01_final
2009-07-28 10:52:01	ga_ls7e_ard_3-0-0_107075_2009-07-28_final
2009-10-03 09:40:42	ga_ls7e_ard_3-0-0_096067_2009-10-03_final
2010-01-04 10:53:06	ga_ls7e_ard_3-0-0_107075_2010-01-04_final
2010-04-22 11:15:30	ga_ls7e_ard_3-0-0_111067_2010-04-22_final
2010-08-01 09:55:58	ga_ls7e_ard_3-0-0_098069_2010-08-01_final
2011-05-15 10:58:08	ga_ls7e_ard_3-0-0_107082_2011-05-15_final
2012-06-18 09:22:54	ga_ls7e_ard_3-0-0_091089_2012-06-17_final
2012-08-21 10:56:57	ga_ls7e_ard_3-0-0_107075_2012-08-21_final
2012-09-22 10:57:16	ga_ls7e_ard_3-0-0_107075_2012-09-22_final
2013-01-12 10:55:55	ga_ls7e_ard_3-0-0_107070_2013-01-12_final
2013-03-18 10:01:03	ga_ls7e_ard_3-0-0_098072_2013-03-18_final
2015-05-11 10:03:33	ga_ls7e_ard_3-0-0_098070_2015-05-11_final
2015-06-23 09:46:01	ga_ls7e_ard_3-0-0_095072_2015-06-23_final
2015-11-28 11:43:19	ga_ls7e_ard_3-0-0_113084_2015-11-28_final
2016-01-31 11:41:26	ga_ls7e_ard_3-0-0_113077_2016-01-31_final
2016-03-23 09:41:22	ga_ls7e_ard_3-0-0_093085_2016-03-23_final
2016-03-30 09:40:23	ga_ls7e_ard_3-1-0_094067_2016-03-30_final
2017-01-12 11:24:05	ga_ls7e_ard_3-0-0_110079_2017-01-12_final
2017-02-26 10:48:40	ga_ls7e_ard_3-0-0_105068_2017-02-26_final
2017-03-24 11:25:31	ga_ls7e_ard_3-0-0_111067_2017-03-24_final
2017-08-28 11:00:59	ga_ls7e_ard_3-0-0_106082_2017-08-28_final
2019-10-30 10:30:34	ga_ls7e_ard_3-1-0_105068_2019-10-30_final
2020-08-02 09:03:25	ga_ls7e_ard_3-1-0_092089_2020-08-01_final
2020-08-11 10:33:09	ga_ls7e_ard_3-1-0_107083_2020-08-11_final
2020-10-23 10:22:14	ga_ls7e_ard_3-1-0_106083_2020-10-23_final
2021-01-09 10:25:04	ga_ls7e_ard_3-1-0_108073_2021-01-09_final
2021-09-14 09:16:52	ga_ls7e_ard_3-2-0_100077_2021-09-13_final
2021-10-12 09:41:06	ga_ls7e_ard_3-2-0_104082_2021-10-12_final
2022-04-03 08:47:30	ga_ls7e_ard_3-2-1_099067_2022-04-02_final

Return to ga_ls7e_ard_3 whole collection overview

ga_ls7e_ard_3: Geoscience Australia Landsat 7 Enhanced Thematic Mapper Plus Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

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