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
1999-11-25 11:28:37	ga_ls7e_ard_3-0-0_112083_1999-11-25_final
1999-12-16 11:44:10	ga_ls7e_ard_3-0-0_115075_1999-12-16_final
1999-12-20 11:21:24	ga_ls7e_ard_3-0-0_111080_1999-12-20_final
2000-02-13 11:28:59	ga_ls7e_ard_3-0-0_112084_2000-02-13_final
2000-03-16 11:28:49	ga_ls7e_ard_3-0-0_112084_2000-03-16_final
2000-06-11 11:27:31	ga_ls7e_ard_3-0-0_113067_2000-06-11_final
2001-02-08 11:16:53	ga_ls7e_ard_3-1-0_111075_2001-02-08_final
2001-05-04 11:37:29	ga_ls7e_ard_3-0-0_114081_2001-05-04_final
2001-10-27 11:30:08	ga_ls7e_ard_3-0-0_114067_2001-10-27_final
2002-04-02 11:05:40	ga_ls7e_ard_3-0-0_109082_2002-04-02_final
2002-08-27 11:34:36	ga_ls7e_ard_3-0-0_114079_2002-08-27_final
2003-02-14 11:17:34	ga_ls7e_ard_3-0-0_111081_2003-02-14_final
2003-02-16 11:03:36	ga_ls7e_ard_3-0-0_109077_2003-02-16_final
2003-04-10 11:23:01	ga_ls7e_ard_3-0-0_112079_2003-04-10_final
2003-05-28 11:18:10	ga_ls7e_ard_3-0-0_112067_2003-05-28_final
2003-08-18 11:11:54	ga_ls7e_ard_3-0-0_110083_2003-08-18_final
2004-01-25 11:08:33	ga_ls7e_ard_3-0-0_110073_2004-01-25_final
2004-08-16 11:34:37	ga_ls7e_ard_3-0-0_114077_2004-08-16_final
2004-11-27 11:41:29	ga_ls7e_ard_3-0-0_115078_2004-11-27_final
2005-03-03 11:42:05	ga_ls7e_ard_3-0-0_115078_2005-03-03_final
2005-07-02 11:36:49	ga_ls7e_ard_3-0-0_114081_2005-07-02_final
2006-06-30 11:15:12	ga_ls7e_ard_3-0-0_111072_2006-06-30_final
2006-12-05 11:32:09	ga_ls7e_ard_3-0-0_113083_2006-12-05_final
2007-04-21 11:23:33	ga_ls7e_ard_3-0-0_112076_2007-04-21_final
2007-06-06 11:32:06	ga_ls7e_ard_3-0-0_114067_2007-06-06_final
2007-10-16 11:06:54	ga_ls7e_ard_3-0-0_110067_2007-10-16_final
2007-10-16 11:08:06	ga_ls7e_ard_3-0-0_110070_2007-10-16_final
2007-11-24 11:13:53	ga_ls7e_ard_3-0-0_111068_2007-11-24_final
2008-02-05 11:12:37	ga_ls7e_ard_3-0-0_110080_2008-02-05_final
2008-05-09 11:19:30	ga_ls7e_ard_3-0-0_112067_2008-05-09_final
2008-09-30 11:18:14	ga_ls7e_ard_3-0-0_112067_2008-09-30_final
2009-03-16 11:31:48	ga_ls7e_ard_3-0-0_113082_2009-03-16_final
2009-03-18 11:15:04	ga_ls7e_ard_3-0-0_111071_2009-03-18_final
2009-04-17 11:32:23	ga_ls7e_ard_3-0-0_113083_2009-04-17_final
2009-08-07 11:25:51	ga_ls7e_ard_3-0-0_113067_2009-08-07_final
2009-09-24 11:25:48	ga_ls7e_ard_3-0-0_113067_2009-09-24_final
2009-11-25 11:43:32	ga_ls7e_ard_3-0-0_115079_2009-11-25_final
2010-01-09 11:10:32	ga_ls7e_ard_3-1-0_110072_2010-01-09_final
2010-02-01 11:17:02	ga_ls7e_ard_3-0-0_111072_2010-02-01_final
2011-04-25 11:18:30	ga_ls7e_ard_3-0-0_111071_2011-04-25_final
2012-02-19 11:46:56	ga_ls7e_ard_3-0-0_115079_2012-02-19_final
2012-08-03 11:08:42	ga_ls7e_ard_3-0-0_109074_2012-08-03_final
2013-01-08 11:26:14	ga_ls7e_ard_3-0-0_111084_2013-01-08_final
2013-03-29 11:19:44	ga_ls7e_ard_3-0-0_111068_2013-03-29_final
2013-06-19 11:12:57	ga_ls7e_ard_3-0-0_109083_2013-06-19_final
2013-10-14 11:31:27	ga_ls7e_ard_3-0-0_112082_2013-10-14_final
2014-08-30 11:27:06	ga_ls7e_ard_3-0-0_112067_2014-08-30_final
2014-09-08 11:23:20	ga_ls7e_ard_3-0-0_111073_2014-09-08_final
2014-10-19 11:15:09	ga_ls7e_ard_3-0-0_110067_2014-10-19_final
2015-01-14 11:21:52	ga_ls7e_ard_3-0-0_111067_2015-01-14_final
2015-01-23 11:16:53	ga_ls7e_ard_3-0-0_110070_2015-01-23_final
2015-08-10 11:28:42	ga_ls7e_ard_3-0-0_111081_2015-08-10_final
2015-11-07 11:18:52	ga_ls7e_ard_3-0-0_110070_2015-11-07_final
2015-12-30 11:37:01	ga_ls7e_ard_3-0-0_113067_2015-12-30_final
2016-01-01 11:26:41	ga_ls7e_ard_3-0-0_111072_2016-01-01_final
2016-02-18 11:25:34	ga_ls7e_ard_3-0-0_111068_2016-02-18_final
2016-06-30 11:44:24	ga_ls7e_ard_3-0-0_114067_2016-06-30_final
2016-08-05 11:24:55	ga_ls7e_ard_3-0-0_110080_2016-08-05_final
2016-08-14 11:16:45	ga_ls7e_ard_3-0-0_109075_2016-08-14_final
2017-03-13 11:46:47	ga_ls7e_ard_3-0-0_114074_2017-03-13_final
2017-08-20 11:44:27	ga_ls7e_ard_3-0-0_114067_2017-08-20_final
2017-08-20 11:49:14	ga_ls7e_ard_3-0-0_114079_2017-08-20_final
2017-11-10 11:38:52	ga_ls7e_ard_3-0-0_112084_2017-11-10_final
2017-11-19 11:25:52	ga_ls7e_ard_3-0-0_111067_2017-11-19_final
2018-03-18 11:33:26	ga_ls7e_ard_3-0-0_112074_2018-03-18_final
2019-01-09 11:21:04	ga_ls7e_ard_3-0-0_111074_2019-01-09_final
2019-04-22 11:27:29	ga_ls7e_ard_3-0-0_112083_2019-04-22_final
2019-07-11 11:21:18	ga_ls7e_ard_3-0-0_112075_2019-07-11_final
2019-10-01 11:02:18	ga_ls7e_ard_3-1-0_110067_2019-10-01_final
2019-11-09 11:06:48	ga_ls7e_ard_3-1-0_111067_2019-11-09_final
2019-12-22 10:51:21	ga_ls7e_ard_3-1-0_108080_2019-12-22_final
2020-01-21 10:59:00	ga_ls7e_ard_3-1-0_110072_2020-01-21_final
2020-03-05 11:22:38	ga_ls7e_ard_3-1-0_114075_2020-03-05_final
2020-05-19 10:56:58	ga_ls7e_ard_3-1-0_111068_2020-05-19_final
2020-06-18 11:13:32	ga_ls7e_ard_3-1-0_113083_2020-06-18_final
2020-07-20 11:05:13	ga_ls7e_ard_3-1-0_113067_2020-07-20_final
2020-08-12 11:15:09	ga_ls7e_ard_3-1-0_114080_2020-08-12_final
2020-11-29 08:59:44	ga_ls7e_ard_3-1-0_093084_2020-11-28_final
2020-12-02 09:25:38	ga_ls7e_ard_3-1-0_098072_2020-12-01_final
2020-12-08 08:52:30	ga_ls7e_ard_3-1-0_092083_2020-12-07_final
2020-12-17 08:47:14	ga_ls7e_ard_3-1-0_091087_2020-12-16_final
2021-02-09 09:43:10	ga_ls7e_ard_3-2-0_101082_2021-02-09_final
2021-03-09 08:26:04	ga_ls7e_ard_3-2-0_089080_2021-03-08_final
2021-04-04 10:37:08	ga_ls7e_ard_3-2-0_111073_2021-04-04_final
2021-05-01 10:20:42	ga_ls7e_ard_3-2-0_108084_2021-05-01_final
2021-05-09 09:25:49	ga_ls7e_ard_3-2-0_100072_2021-05-08_final
2021-05-20 10:43:14	ga_ls7e_ard_3-2-0_113067_2021-05-20_final
2021-07-13 10:02:50	ga_ls7e_ard_3-2-0_107070_2021-07-13_final
2021-08-20 09:27:37	ga_ls7e_ard_3-2-0_101083_2021-08-19_final
2021-09-11 10:23:31	ga_ls7e_ard_3-2-0_111073_2021-09-11_final
2021-10-01 08:22:07	ga_ls7e_ard_3-2-0_091083_2021-09-30_final
2021-10-27 10:36:09	ga_ls7e_ard_3-2-0_113084_2021-10-27_final
2021-11-24 09:15:43	ga_ls7e_ard_3-2-1_101075_2021-11-23_final
2021-12-11 08:20:06	ga_ls7e_ard_3-2-1_092079_2021-12-10_final
2021-12-12 09:05:15	ga_ls7e_ard_3-2-1_099084_2021-12-11_final
2021-12-18 10:01:17	ga_ls7e_ard_3-2-1_109071_2021-12-18_final
2021-12-29 08:05:59	ga_ls7e_ard_3-2-1_090079_2021-12-28_final
2022-01-17 08:32:39	ga_ls7e_ard_3-2-1_095073_2022-01-16_final
2022-01-23 07:58:59	ga_ls7e_ard_3-2-1_089083_2022-01-22_final
2022-01-30 09:41:21	ga_ls7e_ard_3-2-1_106078_2022-01-30_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years