Search ga_ls7e_ard_3 whole collection

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

73 results

Time (local)	Label
1999-09-01 11:07:28	ga_ls7e_ard_3-0-0_109076_1999-09-01_final
2000-01-27 09:04:55	ga_ls7e_ard_3-0-0_089079_2000-01-26_final
2000-06-03 10:40:06	ga_ls7e_ard_3-0-0_105072_2000-06-03_final
2000-08-11 10:57:26	ga_ls7e_ard_3-1-0_108071_2000-08-11_final
2001-11-30 09:45:55	ga_ls7e_ard_3-0-0_096084_2001-11-30_final
2002-02-09 09:49:39	ga_ls7e_ard_3-0-0_097077_2002-02-09_final
2002-04-03 10:07:38	ga_ls7e_ard_3-0-0_100076_2002-04-03_final
2002-07-16 10:56:18	ga_ls7e_ard_3-0-0_108075_2002-07-16_final
2002-07-31 10:13:43	ga_ls7e_ard_3-0-0_101077_2002-07-31_final
2002-12-28 11:14:26	ga_ls7e_ard_3-0-0_111074_2002-12-28_final
2003-02-10 10:01:23	ga_ls7e_ard_3-0-0_099076_2003-02-10_final
2003-05-02 10:41:33	ga_ls7e_ard_3-0-0_106068_2003-05-02_final
2003-05-11 10:40:08	ga_ls7e_ard_3-1-0_105080_2003-05-11_final
2003-05-19 11:27:07	ga_ls7e_ard_3-0-0_113074_2003-05-19_final
2003-09-23 10:45:46	ga_ls7e_ard_3-0-0_106080_2003-09-23_final
2003-11-10 10:41:41	ga_ls7e_ard_3-0-0_106069_2003-11-10_final
2003-11-23 10:16:08	ga_ls7e_ard_3-0-0_101082_2003-11-23_final
2004-01-30 09:51:02	ga_ls7e_ard_3-0-0_097080_2004-01-30_final
2004-04-24 10:08:50	ga_ls7e_ard_3-0-0_100078_2004-04-24_final
2004-07-17 11:21:14	ga_ls7e_ard_3-0-0_112074_2004-07-17_final
2004-08-05 10:16:40	ga_ls7e_ard_3-0-0_101083_2004-08-05_final
2004-10-02 10:53:55	ga_ls7e_ard_3-0-0_107084_2004-10-02_final
2004-11-11 10:04:51	ga_ls7e_ard_3-0-0_099084_2004-11-11_final
2004-12-07 10:38:33	ga_ls7e_ard_3-0-0_105075_2004-12-07_final
2005-01-04 11:03:29	ga_ls7e_ard_3-0-0_109075_2005-01-04_final
2005-02-03 11:13:11	ga_ls7e_ard_3-0-0_111068_2005-02-03_final
2005-06-12 10:17:32	ga_ls7e_ard_3-0-0_102068_2005-06-12_final
2005-06-15 09:17:55	ga_ls7e_ard_3-0-0_091089_2005-06-14_final
2005-06-17 09:01:09	ga_ls7e_ard_3-0-0_089078_2005-06-16_final
2005-12-12 10:25:28	ga_ls7e_ard_3-0-0_103072_2005-12-12_final
2006-03-31 11:35:06	ga_ls7e_ard_3-0-0_114075_2006-03-31_final
2006-12-09 11:02:16	ga_ls7e_ard_3-0-0_109070_2006-12-09_final
2007-09-17 10:02:55	ga_ls7e_ard_3-0-0_099077_2007-09-17_final
2007-12-19 11:13:49	ga_ls7e_ard_3-0-0_110083_2007-12-19_final
2008-02-09 09:11:23	ga_ls7e_ard_3-0-0_090086_2008-02-08_final
2008-08-23 10:21:58	ga_ls7e_ard_3-0-0_102080_2008-08-23_final
2008-11-19 09:31:49	ga_ls7e_ard_3-0-0_094078_2008-11-19_final
2009-05-28 11:19:55	ga_ls7e_ard_3-0-0_112067_2009-05-28_final
2009-07-10 11:04:28	ga_ls7e_ard_3-0-0_109075_2009-07-10_final
2009-07-14 10:42:32	ga_ls7e_ard_3-0-0_105082_2009-07-14_final
2009-08-21 11:42:34	ga_ls7e_ard_3-0-0_115078_2009-08-21_final
2009-12-29 09:50:00	ga_ls7e_ard_3-0-0_097072_2009-12-29_final
2010-09-11 11:27:56	ga_ls7e_ard_3-0-0_113067_2010-09-11_final
2010-10-05 10:41:40	ga_ls7e_ard_3-0-0_105075_2010-10-05_final
2010-10-21 09:04:33	ga_ls7e_ard_3-0-0_089079_2010-10-20_final
2011-04-22 10:47:59	ga_ls7e_ard_3-0-0_106072_2011-04-22_final
2011-07-09 09:27:46	ga_ls7e_ard_3-0-0_092088_2011-07-08_final
2011-07-14 11:17:13	ga_ls7e_ard_3-0-0_111068_2011-07-14_final
2011-09-01 10:24:13	ga_ls7e_ard_3-0-0_102075_2011-09-01_final
2011-10-22 09:22:12	ga_ls7e_ard_3-0-0_091090_2011-10-21_final
2012-07-17 10:26:28	ga_ls7e_ard_3-0-0_102077_2012-07-17_final
2012-08-15 11:33:35	ga_ls7e_ard_3-0-0_113074_2012-08-15_final
2013-07-07 09:21:07	ga_ls7e_ard_3-0-0_091082_2013-07-06_final
2013-11-24 11:22:43	ga_ls7e_ard_3-0-0_111075_2013-11-24_final
2015-08-23 09:21:44	ga_ls7e_ard_3-1-0_090088_2015-08-22_final
2015-11-12 10:04:36	ga_ls7e_ard_3-0-0_097085_2015-11-12_final
2015-12-23 09:58:39	ga_ls7e_ard_3-0-0_096084_2015-12-23_final
2016-02-26 10:36:09	ga_ls7e_ard_3-0-0_103068_2016-02-26_final
2016-03-24 10:20:15	ga_ls7e_ard_3-0-0_100074_2016-03-24_final
2017-02-20 11:27:17	ga_ls7e_ard_3-0-0_111072_2017-02-20_final
2017-03-12 11:04:19	ga_ls7e_ard_3-0-0_107076_2017-03-12_final
2017-04-22 10:55:11	ga_ls7e_ard_3-0-0_106068_2017-04-22_final
2018-05-21 09:57:06	ga_ls7e_ard_3-0-0_096083_2018-05-21_final
2018-09-14 09:32:36	ga_ls7e_ard_3-0-0_092089_2018-09-14_final
2018-11-08 11:10:00	ga_ls7e_ard_3-0-0_109073_2018-11-08_final
2019-02-24 09:51:32	ga_ls7e_ard_3-1-0_097070_2019-02-24_final
2019-06-05 10:06:53	ga_ls7e_ard_3-0-0_100071_2019-06-05_final
2019-12-31 10:41:07	ga_ls7e_ard_3-1-0_107071_2019-12-31_final
2020-09-19 10:31:36	ga_ls7e_ard_3-1-0_108070_2020-09-19_final
2021-04-17 08:33:03	ga_ls7e_ard_3-2-0_090090_2021-04-16_final
2021-10-24 08:27:51	ga_ls7e_ard_3-2-0_092087_2021-10-23_final
2021-10-26 08:16:30	ga_ls7e_ard_3-2-0_090090_2021-10-25_final
2022-01-23 09:31:52	ga_ls7e_ard_3-2-1_105068_2022-01-23_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