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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

68 results

Time (local)	Label
1999-09-11 10:06:48	ga_ls7e_ard_3-0-0_099079_1999-09-11_final
2000-08-23 11:20:28	ga_ls7e_ard_3-0-0_112067_2000-08-23_final
2001-02-08 11:19:17	ga_ls7e_ard_3-0-0_111081_2001-02-08_final
2001-03-13 10:18:23	ga_ls7e_ard_3-0-0_102068_2001-03-13_final
2001-04-25 09:59:59	ga_ls7e_ard_3-0-0_099069_2001-04-25_final
2001-12-23 11:30:44	ga_ls7e_ard_3-0-0_113083_2001-12-23_final
2002-01-15 11:30:36	ga_ls7e_ard_3-0-0_114067_2002-01-15_final
2003-01-11 11:24:01	ga_ls7e_ard_3-0-0_113067_2003-01-11_final
2003-08-31 10:38:09	ga_ls7e_ard_3-0-0_105076_2003-08-31_final
2003-10-05 11:08:28	ga_ls7e_ard_3-0-0_110075_2003-10-05_final
2003-12-24 11:07:58	ga_ls7e_ard_3-1-0_110072_2003-12-24_final
2004-05-27 09:13:14	ga_ls7e_ard_3-0-0_091078_2004-05-26_final
2004-07-12 09:29:25	ga_ls7e_ard_3-0-0_093088_2004-07-11_final
2004-09-11 10:34:41	ga_ls7e_ard_3-0-0_104082_2004-09-11_final
2005-03-15 10:29:08	ga_ls7e_ard_3-0-0_103081_2005-03-15_final
2005-03-24 10:22:33	ga_ls7e_ard_3-0-0_102080_2005-03-24_final
2005-07-27 09:53:22	ga_ls7e_ard_3-0-0_097085_2005-07-27_final
2007-01-26 11:04:25	ga_ls7e_ard_3-0-0_109075_2007-01-26_final
2007-05-30 11:25:54	ga_ls7e_ard_3-0-0_113067_2007-05-30_final
2008-02-14 09:25:07	ga_ls7e_ard_3-0-0_093074_2008-02-13_final
2008-02-19 09:47:38	ga_ls7e_ard_3-0-0_096084_2008-02-19_final
2008-07-10 09:59:12	ga_ls7e_ard_3-0-0_098084_2008-07-10_final
2008-08-09 10:08:30	ga_ls7e_ard_3-0-0_100077_2008-08-09_final
2008-08-27 11:30:54	ga_ls7e_ard_3-0-0_114067_2008-08-27_final
2008-09-22 10:34:51	ga_ls7e_ard_3-0-0_104082_2008-09-22_final
2009-09-19 09:35:34	ga_ls7e_ard_3-0-0_094085_2009-09-19_final
2009-10-14 09:28:09	ga_ls7e_ard_3-0-0_093082_2009-10-13_final
2009-12-06 09:41:26	ga_ls7e_ard_3-0-0_096067_2009-12-06_final
2009-12-20 10:00:25	ga_ls7e_ard_3-0-0_098083_2009-12-20_final
2010-06-22 09:14:51	ga_ls7e_ard_3-0-0_090090_2010-06-21_final
2011-02-10 09:05:32	ga_ls7e_ard_3-0-0_089079_2011-02-09_final
2011-07-16 11:06:03	ga_ls7e_ard_3-0-0_109071_2011-07-16_final
2011-07-28 11:29:08	ga_ls7e_ard_3-0-0_113067_2011-07-28_final
2011-11-29 10:20:23	ga_ls7e_ard_3-0-0_101080_2011-11-29_final
2012-01-01 11:01:09	ga_ls7e_ard_3-0-0_108073_2012-01-01_final
2012-02-25 09:34:34	ga_ls7e_ard_3-0-0_093088_2012-02-25_final
2012-03-10 09:45:16	ga_ls7e_ard_3-0-0_095084_2012-03-10_final
2012-03-16 09:05:50	ga_ls7e_ard_3-0-0_089078_2012-03-15_final
2013-03-07 10:23:37	ga_ls7e_ard_3-0-0_101082_2013-03-07_final
2013-03-08 11:03:41	ga_ls7e_ard_3-0-0_108074_2013-03-08_final
2013-05-18 09:35:06	ga_ls7e_ard_3-0-0_093085_2013-05-18_final
2013-06-15 11:37:18	ga_ls7e_ard_3-0-0_113082_2013-06-15_final
2013-12-21 11:05:54	ga_ls7e_ard_3-0-0_108079_2013-12-21_final
2014-03-10 10:22:17	ga_ls7e_ard_3-0-0_101077_2014-03-10_final
2016-01-06 10:11:37	ga_ls7e_ard_3-0-0_098085_2016-01-06_final
2016-06-26 10:35:49	ga_ls7e_ard_3-0-0_102081_2016-06-26_final
2016-07-13 11:19:28	ga_ls7e_ard_3-0-0_109082_2016-07-13_final
2016-08-01 10:12:21	ga_ls7e_ard_3-0-0_098084_2016-08-01_final
2016-12-17 10:42:51	ga_ls7e_ard_3-0-0_104068_2016-12-17_final
2018-06-30 10:41:51	ga_ls7e_ard_3-0-0_104073_2018-06-30_final
2018-11-11 11:43:14	ga_ls7e_ard_3-0-0_114079_2018-11-11_final
2019-03-30 09:36:51	ga_ls7e_ard_3-0-0_095067_2019-03-30_final
2019-04-06 09:44:00	ga_ls7e_ard_3-0-0_096070_2019-04-06_final
2019-05-12 10:58:24	ga_ls7e_ard_3-0-0_108074_2019-05-12_final
2019-09-01 10:54:26	ga_ls7e_ard_3-1-0_108075_2019-09-01_final
2019-09-15 09:30:54	ga_ls7e_ard_3-1-0_094084_2019-09-15_final
2019-12-23 09:54:53	ga_ls7e_ard_3-1-0_099078_2019-12-23_final
2019-12-25 11:19:42	ga_ls7e_ard_3-1-0_113074_2019-12-25_final
2020-02-23 10:05:17	ga_ls7e_ard_3-1-0_101081_2020-02-23_final
2020-03-19 09:53:46	ga_ls7e_ard_3-1-0_100071_2020-03-19_final
2020-03-27 09:07:28	ga_ls7e_ard_3-1-0_092080_2020-03-26_final
2020-06-23 09:53:18	ga_ls7e_ard_3-1-0_100084_2020-06-23_final
2020-11-27 10:44:20	ga_ls7e_ard_3-1-0_111067_2020-11-27_final
2021-04-22 10:27:15	ga_ls7e_ard_3-2-0_109083_2021-04-22_final
2021-06-11 08:34:12	ga_ls7e_ard_3-2-0_091089_2021-06-10_final
2021-10-26 09:49:24	ga_ls7e_ard_3-2-0_106075_2021-10-26_final
2022-02-20 09:54:11	ga_ls7e_ard_3-2-1_109069_2022-02-20_final
2022-03-27 08:42:48	ga_ls7e_ard_3-2-1_098069_2022-03-26_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

All years