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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

First 100 results (query limit)

Time (local)	Label
2000-02-02 11:44:47	ga_ls7e_ard_3-0-0_115077_2000-02-02_final
2001-02-04 11:42:26	ga_ls7e_ard_3-1-0_115077_2001-02-04_final
2001-04-29 09:39:41	ga_ls7e_ard_3-0-0_095080_2001-04-29_final
2001-05-27 11:41:49	ga_ls7e_ard_3-1-0_115077_2001-05-27_final
2002-01-10 09:36:22	ga_ls7e_ard_3-0-0_095075_2002-01-10_final
2002-01-26 09:40:03	ga_ls7e_ard_3-0-0_095084_2002-01-26_final
2002-04-12 11:40:49	ga_ls7e_ard_3-1-0_115077_2002-04-12_final
2003-02-26 11:39:27	ga_ls7e_ard_3-0-0_115074_2003-02-26_final
2003-08-09 09:36:23	ga_ls7e_ard_3-0-0_095076_2003-08-09_final
2003-08-30 11:34:58	ga_ls7e_ard_3-0-0_114079_2003-08-30_final
2003-10-28 09:38:24	ga_ls7e_ard_3-0-0_095081_2003-10-28_final
2004-06-29 11:35:38	ga_ls7e_ard_3-0-0_114079_2004-06-29_final
2005-02-08 11:36:10	ga_ls7e_ard_3-0-0_114079_2005-02-08_final
2005-04-24 09:37:09	ga_ls7e_ard_3-0-0_095075_2005-04-24_final
2005-07-18 11:36:03	ga_ls7e_ard_3-0-0_114079_2005-07-18_final
2005-07-29 09:39:24	ga_ls7e_ard_3-0-0_095081_2005-07-29_final
2005-08-30 09:38:49	ga_ls7e_ard_3-0-0_095080_2005-08-30_final
2005-10-17 09:37:09	ga_ls7e_ard_3-0-0_095076_2005-10-17_final
2006-03-26 09:34:30	ga_ls7e_ard_3-0-0_095067_2006-03-26_final
2007-06-01 09:37:27	ga_ls7e_ard_3-0-0_095074_2007-06-01_final
2007-12-26 09:40:20	ga_ls7e_ard_3-0-0_095081_2007-12-26_final
2008-08-27 11:36:29	ga_ls7e_ard_3-0-0_114081_2008-08-27_final
2009-03-18 09:38:10	ga_ls7e_ard_3-0-0_095076_2009-03-18_final
2009-11-13 09:40:11	ga_ls7e_ard_3-0-0_095080_2009-11-13_final
2011-06-12 09:41:59	ga_ls7e_ard_3-0-0_095077_2011-06-12_final
2011-10-07 11:40:14	ga_ls7e_ard_3-0-0_114080_2011-10-07_final
2011-12-05 09:44:33	ga_ls7e_ard_3-0-0_095083_2011-12-05_final
2012-03-26 09:44:07	ga_ls7e_ard_3-0-0_095081_2012-03-26_final
2013-07-03 09:47:06	ga_ls7e_ard_3-0-0_095085_2013-07-03_final
2013-12-26 09:45:12	ga_ls7e_ard_3-0-0_095078_2013-12-26_final
2014-04-17 09:44:42	ga_ls7e_ard_3-0-0_095075_2014-04-17_final
2014-09-24 09:45:45	ga_ls7e_ard_3-0-0_095076_2014-09-24_final
2014-10-10 09:49:08	ga_ls7e_ard_3-0-0_095084_2014-10-10_final
2015-01-14 09:47:22	ga_ls7e_ard_3-0-0_095078_2015-01-14_final
2015-01-30 09:46:39	ga_ls7e_ard_3-0-0_095076_2015-01-30_final
2015-04-20 09:47:37	ga_ls7e_ard_3-0-0_095077_2015-04-20_final
2015-07-09 09:48:54	ga_ls7e_ard_3-1-0_095079_2015-07-09_final
2015-09-27 09:51:10	ga_ls7e_ard_3-0-0_095084_2015-09-27_final
2015-11-26 11:52:52	ga_ls7e_ard_3-0-0_115077_2015-11-26_final
2016-03-05 09:53:36	ga_ls7e_ard_3-0-0_095085_2016-03-05_final
2016-05-24 09:52:27	ga_ls7e_ard_3-0-0_095081_2016-05-24_final
2016-06-09 09:51:20	ga_ls7e_ard_3-0-0_095078_2016-06-09_final
2016-06-25 09:49:46	ga_ls7e_ard_3-0-0_095074_2016-06-25_final
2016-08-28 09:50:16	ga_ls7e_ard_3-0-0_095075_2016-08-28_final
2016-09-25 11:54:21	ga_ls7e_ard_3-0-0_115076_2016-09-25_final
2016-10-15 09:53:32	ga_ls7e_ard_3-0-0_095083_2016-10-15_final
2017-01-03 09:53:28	ga_ls7e_ard_3-0-0_095084_2017-01-03_final
2017-03-24 09:53:00	ga_ls7e_ard_3-0-0_095083_2017-03-24_final
2017-06-17 11:48:51	ga_ls7e_ard_3-0-0_114078_2017-06-17_final
2017-09-21 11:48:24	ga_ls7e_ard_3-0-0_114077_2017-09-21_final
2018-11-22 09:47:08	ga_ls7e_ard_3-0-0_095083_2018-11-22_final
2018-12-20 11:47:35	ga_ls7e_ard_3-1-0_115077_2018-12-20_final
2019-03-14 09:40:59	ga_ls7e_ard_3-1-0_095076_2019-03-14_final
2020-07-06 09:17:38	ga_ls7e_ard_3-1-0_095074_2020-07-05_final
2020-10-10 09:14:42	ga_ls7e_ard_3-1-0_095082_2020-10-09_final
2020-11-16 11:08:51	ga_ls7e_ard_3-1-0_114080_2020-11-16_final
2020-11-27 09:08:15	ga_ls7e_ard_3-1-0_095074_2020-11-26_final
2020-11-27 09:08:39	ga_ls7e_ard_3-1-0_095075_2020-11-26_final
2021-01-30 10:44:54	ga_ls7e_ard_3-2-0_111080_2021-01-30_final
2021-02-28 08:33:20	ga_ls7e_ard_3-2-0_090081_2021-02-27_final
2021-03-02 09:56:55	ga_ls7e_ard_3-2-0_104074_2021-03-02_final
2021-03-02 09:58:06	ga_ls7e_ard_3-2-0_104077_2021-03-02_final
2021-03-05 08:50:42	ga_ls7e_ard_3-2-0_093079_2021-03-04_final
2021-04-06 08:49:43	ga_ls7e_ard_3-2-0_093083_2021-04-05_final
2021-04-30 09:32:45	ga_ls7e_ard_3-2-0_101072_2021-04-30_final
2021-05-01 10:15:55	ga_ls7e_ard_3-2-0_108072_2021-05-01_final
2021-05-17 10:17:22	ga_ls7e_ard_3-2-0_108079_2021-05-17_final
2021-06-09 08:43:32	ga_ls7e_ard_3-2-0_093081_2021-06-08_final
2021-06-09 10:19:13	ga_ls7e_ard_3-2-0_109073_2021-06-09_final
2021-06-21 10:44:57	ga_ls7e_ard_3-2-0_113078_2021-06-21_final
2021-07-13 10:04:02	ga_ls7e_ard_3-2-0_107073_2021-07-13_final
2021-07-22 09:56:41	ga_ls7e_ard_3-2-0_106072_2021-07-22_final
2021-08-01 10:34:53	ga_ls7e_ard_3-2-0_112077_2021-08-01_final
2021-08-04 09:25:02	ga_ls7e_ard_3-2-0_101073_2021-08-03_final
2021-08-06 09:12:30	ga_ls7e_ard_3-2-0_099073_2021-08-05_final
2021-08-08 10:39:38	ga_ls7e_ard_3-2-0_113075_2021-08-08_final
2021-08-15 10:46:47	ga_ls7e_ard_3-2-0_114079_2021-08-15_final
2021-08-17 08:55:46	ga_ls7e_ard_3-2-0_096080_2021-08-16_final
2021-08-18 09:38:09	ga_ls7e_ard_3-2-0_103078_2021-08-18_final
2021-08-24 10:40:14	ga_ls7e_ard_3-2-0_113080_2021-08-24_final
2021-09-02 08:53:36	ga_ls7e_ard_3-2-0_096078_2021-09-01_final
2021-09-19 09:34:10	ga_ls7e_ard_3-2-0_103075_2021-09-19_final
2021-09-27 10:22:53	ga_ls7e_ard_3-2-0_111075_2021-09-27_final
2021-10-24 08:25:27	ga_ls7e_ard_3-2-0_092081_2021-10-23_final
2021-11-14 10:15:42	ga_ls7e_ard_3-2-1_111068_2021-11-14_final
2021-11-16 08:29:51	ga_ls7e_ard_3-2-1_093082_2021-11-15_final
2021-12-02 10:06:00	ga_ls7e_ard_3-2-1_109079_2021-12-02_final
2021-12-14 08:52:18	ga_ls7e_ard_3-2-1_097083_2021-12-13_final
2021-12-18 10:03:41	ga_ls7e_ard_3-2-1_109077_2021-12-18_final
2022-01-08 08:42:52	ga_ls7e_ard_3-2-1_096081_2022-01-07_final
2022-01-31 10:23:19	ga_ls7e_ard_3-2-1_113075_2022-01-31_final
2022-02-20 09:58:58	ga_ls7e_ard_3-2-1_109081_2022-02-20_final
2022-02-25 10:16:38	ga_ls7e_ard_3-2-1_112080_2022-02-25_final
2022-02-28 09:05:34	ga_ls7e_ard_3-2-1_101073_2022-02-27_final
2022-03-10 08:06:23	ga_ls7e_ard_3-2-1_091082_2022-03-09_final
2022-03-10 09:41:40	ga_ls7e_ard_3-2-1_107073_2022-03-10_final
2022-03-13 08:36:11	ga_ls7e_ard_3-2-1_096080_2022-03-12_final
2022-03-22 10:06:24	ga_ls7e_ard_3-2-1_111076_2022-03-22_final
2022-03-24 09:56:15	ga_ls7e_ard_3-2-1_109082_2022-03-24_final
2022-03-25 09:00:32	ga_ls7e_ard_3-2-1_100082_2022-03-24_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