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

First 100 results (query limit)

Time (local)	Label
1999-09-17 11:09:21	ga_ls7e_ard_3-1-0_109081_1999-09-17_final
1999-10-08 11:26:30	ga_ls7e_ard_3-1-0_112077_1999-10-08_final
1999-12-30 10:17:28	ga_ls7e_ard_3-1-0_101075_1999-12-30_final
2000-09-11 10:15:22	ga_ls7e_ard_3-1-0_101075_2000-09-11_final
2002-05-11 09:27:01	ga_ls7e_ard_3-1-0_094067_2002-05-10_final
2002-10-27 11:04:18	ga_ls7e_ard_3-1-0_109081_2002-10-27_final
2002-12-01 09:54:47	ga_ls7e_ard_3-1-0_098076_2002-12-01_final
2003-03-20 11:05:12	ga_ls7e_ard_3-1-0_109081_2003-03-20_final
2003-05-05 11:18:02	ga_ls7e_ard_3-1-0_111082_2003-05-05_final
2003-11-02 09:56:33	ga_ls7e_ard_3-1-0_098080_2003-11-02_final
2003-12-15 11:18:03	ga_ls7e_ard_3-1-0_111082_2003-12-15_final
2004-01-06 09:01:50	ga_ls7e_ard_3-1-0_089081_2004-01-05_final
2004-05-17 10:13:52	ga_ls7e_ard_3-1-0_101075_2004-05-17_final
2004-06-06 11:29:56	ga_ls7e_ard_3-1-0_113080_2004-06-06_final
2004-06-18 10:13:42	ga_ls7e_ard_3-1-0_101075_2004-06-18_final
2004-09-18 09:01:32	ga_ls7e_ard_3-1-0_089081_2004-09-17_final
2005-06-24 09:07:19	ga_ls7e_ard_3-1-0_090078_2005-06-23_final
2005-07-19 09:02:20	ga_ls7e_ard_3-1-0_089081_2005-07-18_final
2006-06-03 09:58:11	ga_ls7e_ard_3-1-0_098080_2006-06-03_final
2006-10-02 09:49:46	ga_ls7e_ard_3-1-0_097076_2006-10-02_final
2006-10-22 11:06:07	ga_ls7e_ard_3-1-0_109081_2006-10-22_final
2007-03-03 09:06:36	ga_ls7e_ard_3-1-0_089089_2007-03-02_final
2007-10-06 10:30:53	ga_ls7e_ard_3-1-0_104070_2007-10-06_final
2007-11-22 09:50:32	ga_ls7e_ard_3-1-0_097076_2007-11-22_final
2008-09-03 11:41:01	ga_ls7e_ard_3-1-0_115077_2008-09-03_final
2008-10-06 10:43:05	ga_ls7e_ard_3-1-0_106072_2008-10-06_final
2008-11-28 11:05:50	ga_ls7e_ard_3-1-0_109081_2008-11-28_final
2009-06-04 09:50:48	ga_ls7e_ard_3-1-0_097076_2009-06-04_final
2009-09-06 11:42:10	ga_ls7e_ard_3-1-0_115077_2009-09-06_final
2010-06-27 09:30:37	ga_ls7e_ard_3-1-0_093083_2010-06-27_final
2010-06-27 11:08:42	ga_ls7e_ard_3-1-0_109081_2010-06-27_final
2010-07-17 09:05:08	ga_ls7e_ard_3-1-0_089081_2010-07-16_final
2011-04-11 11:10:08	ga_ls7e_ard_3-1-0_109081_2011-04-11_final
2012-07-16 11:24:04	ga_ls7e_ard_3-1-0_111082_2012-07-16_final
2012-08-19 11:11:41	ga_ls7e_ard_3-1-0_109081_2012-08-19_final
2012-08-29 11:47:16	ga_ls7e_ard_3-1-0_115077_2012-08-29_final
2012-12-06 10:37:12	ga_ls7e_ard_3-1-0_104070_2012-12-06_final
2013-01-23 10:37:25	ga_ls7e_ard_3-1-0_104070_2013-01-23_final
2013-02-06 09:16:54	ga_ls7e_ard_3-1-0_090085_2013-02-05_final
2013-08-22 09:33:48	ga_ls7e_ard_3-1-0_093083_2013-08-22_final
2014-02-06 10:21:35	ga_ls7e_ard_3-1-0_101075_2014-02-06_final
2014-09-01 09:35:52	ga_ls7e_ard_3-1-0_094067_2014-09-01_final
2014-11-04 09:36:26	ga_ls7e_ard_3-1-0_094067_2014-11-04_final
2015-04-20 11:28:30	ga_ls7e_ard_3-1-0_111082_2015-04-20_final
2015-06-25 11:16:07	ga_ls7e_ard_3-1-0_109081_2015-06-25_final
2016-04-06 11:31:27	ga_ls7e_ard_3-1-0_111082_2016-04-06_final
2016-10-14 10:43:59	ga_ls7e_ard_3-1-0_104070_2016-10-14_final
2016-11-16 11:31:49	ga_ls7e_ard_3-1-0_111082_2016-11-16_final
2017-03-10 11:18:40	ga_ls7e_ard_3-1-0_109081_2017-03-10_final
2017-09-28 11:54:36	ga_ls7e_ard_3-1-0_115077_2017-09-28_final
2018-05-10 11:52:18	ga_ls7e_ard_3-1-0_115077_2018-05-10_final
2018-05-29 10:41:14	ga_ls7e_ard_3-1-0_104070_2018-05-29_final
2018-12-10 11:12:23	ga_ls7e_ard_3-1-0_109081_2018-12-10_final
2019-03-07 11:11:31	ga_ls7e_ard_3-1-0_110070_2019-03-07_final
2019-03-07 11:15:07	ga_ls7e_ard_3-1-0_110079_2019-03-07_final
2019-03-16 11:08:14	ga_ls7e_ard_3-1-0_109078_2019-03-16_final
2019-06-12 10:14:25	ga_ls7e_ard_3-1-0_101075_2019-06-12_final
2019-07-10 09:01:35	ga_ls7e_ard_3-1-0_089081_2019-07-09_final
2019-08-21 09:33:46	ga_ls7e_ard_3-1-0_095073_2019-08-21_final
2019-08-26 09:50:30	ga_ls7e_ard_3-1-0_098069_2019-08-26_final
2019-08-26 11:33:23	ga_ls7e_ard_3-1-0_114079_2019-08-26_final
2019-09-04 11:26:48	ga_ls7e_ard_3-1-0_113079_2019-09-04_final
2019-09-06 11:13:58	ga_ls7e_ard_3-1-0_111078_2019-09-06_final
2019-09-08 10:59:07	ga_ls7e_ard_3-1-0_109072_2019-09-08_final
2019-09-22 11:08:52	ga_ls7e_ard_3-1-0_111067_2019-09-22_final
2019-10-01 09:28:37	ga_ls7e_ard_3-1-0_094080_2019-09-30_final
2019-10-10 09:20:28	ga_ls7e_ard_3-1-0_093076_2019-10-09_final
2019-10-31 11:19:23	ga_ls7e_ard_3-1-0_112082_2019-10-31_final
2019-11-06 10:42:25	ga_ls7e_ard_3-1-0_106083_2019-11-06_final
2019-11-07 09:45:34	ga_ls7e_ard_3-1-0_097080_2019-11-07_final
2019-11-13 10:44:18	ga_ls7e_ard_3-1-0_107073_2019-11-13_final
2019-11-24 10:23:38	ga_ls7e_ard_3-1-0_104069_2019-11-24_final
2019-12-13 10:58:48	ga_ls7e_ard_3-1-0_109082_2019-12-13_final
2019-12-24 10:37:42	ga_ls7e_ard_3-1-0_106077_2019-12-24_final
2019-12-25 09:44:25	ga_ls7e_ard_3-1-0_097083_2019-12-25_final
2019-12-25 11:20:06	ga_ls7e_ard_3-1-0_113075_2019-12-25_final
2019-12-29 10:57:34	ga_ls7e_ard_3-1-0_109081_2019-12-29_final
2020-01-04 10:16:11	ga_ls7e_ard_3-1-0_103071_2020-01-04_final
2020-01-05 09:24:06	ga_ls7e_ard_3-1-0_094080_2020-01-04_final
2020-01-12 11:10:01	ga_ls7e_ard_3-1-0_111083_2020-01-12_final
2020-01-25 10:37:16	ga_ls7e_ard_3-1-0_106080_2020-01-25_final
2020-01-30 10:54:22	ga_ls7e_ard_3-1-0_109077_2020-01-30_final
2020-02-04 11:12:15	ga_ls7e_ard_3-1-0_112076_2020-02-04_final
2020-02-07 10:04:55	ga_ls7e_ard_3-1-0_101078_2020-02-07_final
2020-02-13 11:07:36	ga_ls7e_ard_3-1-0_111081_2020-02-13_final
2020-02-19 08:52:32	ga_ls7e_ard_3-1-0_089084_2020-02-18_final
2020-02-25 11:29:42	ga_ls7e_ard_3-1-0_115076_2020-02-25_final
2020-03-04 10:41:02	ga_ls7e_ard_3-1-0_107079_2020-03-04_final
2020-03-30 11:17:52	ga_ls7e_ard_3-1-0_113082_2020-03-30_final
2020-04-03 10:50:56	ga_ls7e_ard_3-1-0_109077_2020-04-03_final
2020-04-05 10:35:40	ga_ls7e_ard_3-1-0_107070_2020-04-05_final
2020-04-06 09:43:35	ga_ls7e_ard_3-1-0_098079_2020-04-06_final
2020-04-10 09:20:13	ga_ls7e_ard_3-1-0_094083_2020-04-09_final
2020-04-11 10:01:02	ga_ls7e_ard_3-1-0_101077_2020-04-11_final
2020-04-19 09:13:55	ga_ls7e_ard_3-1-0_093084_2020-04-18_final
2020-04-26 10:56:10	ga_ls7e_ard_3-1-0_110078_2020-04-26_final
2022-03-13 08:35:47	ga_ls7e_ard_3-2-1_096079_2022-03-12_final
2022-03-19 09:34:35	ga_ls7e_ard_3-2-1_106073_2022-03-19_final
2022-03-31 08:22:29	ga_ls7e_ard_3-2-1_094081_2022-03-30_final
2022-03-31 08:24:53	ga_ls7e_ard_3-2-1_094087_2022-03-30_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

All years