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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

61 results

Time (local)	Label
2000-05-12 11:18:12	ga_ls7e_ard_3-0-0_111074_2000-05-12_final
2000-09-14 10:43:48	ga_ls7e_ard_3-0-0_106069_2000-09-14_final
2001-04-03 10:37:05	ga_ls7e_ard_3-0-0_105069_2001-04-03_final
2001-09-04 11:14:42	ga_ls7e_ard_3-0-0_111074_2001-09-04_final
2001-09-29 11:08:42	ga_ls7e_ard_3-0-0_110075_2001-09-29_final
2002-03-16 10:16:55	ga_ls7e_ard_3-0-0_102068_2002-03-16_final
2002-07-18 09:06:13	ga_ls7e_ard_3-0-0_090078_2002-07-17_final
2003-07-20 11:40:09	ga_ls7e_ard_3-0-0_115076_2003-07-20_final
2003-12-01 09:25:30	ga_ls7e_ard_3-0-0_093079_2003-11-30_final
2004-02-19 11:06:25	ga_ls7e_ard_3-0-0_109083_2004-02-19_final
2004-09-24 11:41:01	ga_ls7e_ard_3-0-0_115078_2004-09-24_final
2005-01-20 11:03:32	ga_ls7e_ard_3-0-0_109075_2005-01-20_final
2005-08-19 09:58:38	ga_ls7e_ard_3-0-0_098083_2005-08-19_final
2005-12-19 08:56:45	ga_ls7e_ard_3-0-0_088082_2005-12-18_final
2006-01-31 10:15:28	ga_ls7e_ard_3-0-0_101077_2006-01-31_final
2006-07-16 11:13:04	ga_ls7e_ard_3-0-0_111067_2006-07-16_final
2006-08-26 11:12:20	ga_ls7e_ard_3-0-0_110081_2006-08-26_final
2006-10-25 09:56:59	ga_ls7e_ard_3-0-0_098078_2006-10-25_final
2007-09-06 10:23:32	ga_ls7e_ard_3-0-0_102082_2007-09-06_final
2007-11-13 09:55:26	ga_ls7e_ard_3-0-0_098073_2007-11-13_final
2007-12-31 10:00:05	ga_ls7e_ard_3-0-0_098084_2007-12-31_final
2008-02-02 09:06:26	ga_ls7e_ard_3-1-0_089089_2008-02-01_final
2008-03-05 09:02:17	ga_ls7e_ard_3-0-0_089079_2008-03-04_final
2009-01-08 09:19:31	ga_ls7e_ard_3-0-0_092077_2009-01-07_final
2009-02-18 10:50:06	ga_ls7e_ard_3-0-0_107071_2009-02-18_final
2009-04-19 11:20:26	ga_ls7e_ard_3-0-0_111084_2009-04-19_final
2009-07-30 10:36:51	ga_ls7e_ard_3-0-0_105068_2009-07-30_final
2009-08-19 10:18:03	ga_ls7e_ard_3-0-0_101083_2009-08-19_final
2009-08-27 11:02:42	ga_ls7e_ard_3-0-0_109071_2009-08-27_final
2009-09-08 11:32:12	ga_ls7e_ard_3-0-0_113083_2009-09-08_final
2009-11-27 09:54:18	ga_ls7e_ard_3-0-0_097084_2009-11-27_final
2009-12-04 10:00:33	ga_ls7e_ard_3-0-0_098084_2009-12-04_final
2010-03-17 11:44:33	ga_ls7e_ard_3-0-0_115078_2010-03-17_final
2011-06-26 11:31:59	ga_ls7e_ard_3-0-0_113074_2011-06-26_final
2011-09-03 10:10:15	ga_ls7e_ard_3-0-0_100071_2011-09-03_final
2011-09-16 11:19:22	ga_ls7e_ard_3-0-0_111074_2011-09-16_final
2013-02-18 11:17:17	ga_ls7e_ard_3-0-0_110077_2013-02-18_final
2013-06-20 10:12:56	ga_ls7e_ard_3-0-0_100072_2013-06-20_final
2013-10-24 10:29:43	ga_ls7e_ard_3-0-0_102082_2013-10-24_final
2014-01-09 09:55:12	ga_ls7e_ard_3-0-0_097072_2014-01-09_final
2014-03-23 11:29:11	ga_ls7e_ard_3-0-0_112074_2014-03-23_final
2015-06-03 10:10:40	ga_ls7e_ard_3-0-0_099072_2015-06-03_final
2015-07-02 11:19:57	ga_ls7e_ard_3-0-0_110075_2015-07-02_final
2015-08-07 10:55:48	ga_ls7e_ard_3-0-0_106076_2015-08-07_final
2016-01-02 10:35:05	ga_ls7e_ard_3-0-0_102082_2016-01-02_final
2016-01-25 10:37:35	ga_ls7e_ard_3-0-0_103072_2016-01-25_final
2016-03-15 10:27:58	ga_ls7e_ard_3-0-0_101078_2016-03-15_final
2018-01-17 09:31:48	ga_ls7e_ard_3-0-0_092077_2018-01-17_final
2018-02-12 10:05:18	ga_ls7e_ard_3-0-0_098069_2018-02-12_final
2018-10-12 11:31:56	ga_ls7e_ard_3-0-0_112080_2018-10-12_final
2018-11-19 10:49:36	ga_ls7e_ard_3-0-0_106069_2018-11-19_final
2019-01-24 10:35:20	ga_ls7e_ard_3-0-0_104069_2019-01-24_final
2019-05-01 09:41:41	ga_ls7e_ard_3-0-0_095082_2019-05-01_final
2019-06-19 10:22:44	ga_ls7e_ard_3-0-0_102081_2019-06-19_final
2019-10-04 10:00:35	ga_ls7e_ard_3-1-0_099083_2019-10-04_final
2020-04-28 10:42:06	ga_ls7e_ard_3-1-0_108074_2020-04-28_final
2020-05-21 10:50:28	ga_ls7e_ard_3-1-0_109083_2020-05-21_final
2020-06-29 09:11:52	ga_ls7e_ard_3-1-0_094074_2020-06-28_final
2020-09-14 08:40:30	ga_ls7e_ard_3-1-0_089085_2020-09-13_final
2020-11-29 10:34:38	ga_ls7e_ard_3-1-0_109074_2020-11-29_final
2021-08-03 08:47:27	ga_ls7e_ard_3-2-0_094087_2021-08-02_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

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