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
1999-10-01 11:19:06	ga_ls7e_ard_3-0-0_111074_1999-10-01_final
1999-11-07 11:34:44	ga_ls7e_ard_3-0-0_114067_1999-11-07_final
2000-02-27 11:39:16	ga_ls7e_ard_3-0-0_114079_2000-02-27_final
2001-05-06 11:19:31	ga_ls7e_ard_3-0-0_112067_2001-05-06_final
2001-12-09 11:13:53	ga_ls7e_ard_3-0-0_111072_2001-12-09_final
2002-01-10 11:14:51	ga_ls7e_ard_3-0-0_111074_2002-01-10_final
2002-01-19 11:08:44	ga_ls7e_ard_3-0-0_110074_2002-01-19_final
2002-10-18 11:11:15	ga_ls7e_ard_3-0-0_110083_2002-10-18_final
2003-01-02 11:35:45	ga_ls7e_ard_3-0-0_114081_2003-01-02_final
2003-02-14 11:17:34	ga_ls7e_ard_3-0-0_111081_2003-02-14_final
2003-12-04 11:33:18	ga_ls7e_ard_3-0-0_114074_2003-12-04_final
2004-01-12 11:40:07	ga_ls7e_ard_3-0-0_115075_2004-01-12_final
2004-02-22 11:33:43	ga_ls7e_ard_3-0-0_114074_2004-02-22_final
2004-03-02 11:24:48	ga_ls7e_ard_3-0-0_113067_2004-03-02_final
2004-08-18 11:21:04	ga_ls7e_ard_3-0-0_112074_2004-08-18_final
2004-08-27 09:35:34	ga_ls7e_ard_3-1-0_095073_2004-08-27_final
2004-09-12 09:40:39	ga_ls7e_ard_3-0-0_095086_2004-09-12_final
2004-10-28 11:30:27	ga_ls7e_ard_3-0-0_113082_2004-10-28_final
2005-02-28 11:08:47	ga_ls7e_ard_3-1-0_110072_2005-02-28_final
2005-07-06 11:12:07	ga_ls7e_ard_3-0-0_110081_2005-07-06_final
2005-09-15 11:14:21	ga_ls7e_ard_3-0-0_111072_2005-09-15_final
2006-01-23 11:03:40	ga_ls7e_ard_3-0-0_109074_2006-01-23_final
2006-02-15 11:08:22	ga_ls7e_ard_3-0-0_110070_2006-02-15_final
2006-07-16 11:15:52	ga_ls7e_ard_3-0-0_111074_2006-07-16_final
2007-04-12 11:32:09	ga_ls7e_ard_3-0-0_113082_2007-04-12_final
2007-08-22 11:04:31	ga_ls7e_ard_3-0-0_109076_2007-08-22_final
2007-09-21 11:19:04	ga_ls7e_ard_3-1-0_111082_2007-09-21_final
2008-02-08 11:42:42	ga_ls7e_ard_3-0-0_115078_2008-02-08_final
2008-11-19 11:11:30	ga_ls7e_ard_3-0-0_110080_2008-11-19_final
2008-12-26 11:25:14	ga_ls7e_ard_3-0-0_113067_2008-12-26_final
2008-12-28 09:41:11	ga_ls7e_ard_3-0-0_095085_2008-12-28_final
2009-04-03 09:41:04	ga_ls7e_ard_3-0-0_095083_2009-04-03_final
2009-05-19 11:26:06	ga_ls7e_ard_3-0-0_113067_2009-05-19_final
2009-06-08 11:04:10	ga_ls7e_ard_3-0-0_109074_2009-06-08_final
2009-07-24 11:15:34	ga_ls7e_ard_3-0-0_111072_2009-07-24_final
2010-01-12 11:43:04	ga_ls7e_ard_3-0-0_115076_2010-01-12_final
2010-05-26 11:09:02	ga_ls7e_ard_3-0-0_109082_2010-05-26_final
2010-06-14 11:36:46	ga_ls7e_ard_3-0-0_114074_2010-06-14_final
2010-09-18 11:39:18	ga_ls7e_ard_3-0-0_114080_2010-09-18_final
2011-05-04 11:13:07	ga_ls7e_ard_3-0-0_110073_2011-05-04_final
2011-09-18 11:07:24	ga_ls7e_ard_3-0-0_109075_2011-09-18_final
2011-10-07 11:38:14	ga_ls7e_ard_3-0-0_114075_2011-10-07_final
2011-12-28 11:26:14	ga_ls7e_ard_3-1-0_112074_2011-12-28_final
2012-01-31 11:13:09	ga_ls7e_ard_3-1-0_110072_2012-01-31_final
2012-12-03 11:47:58	ga_ls7e_ard_3-1-0_115077_2012-12-03_final
2013-05-16 11:19:34	ga_ls7e_ard_3-0-0_111068_2013-05-16_final
2013-06-01 09:42:57	ga_ls7e_ard_3-0-0_095074_2013-06-01_final
2013-07-19 09:42:34	ga_ls7e_ard_3-0-0_095074_2013-07-19_final
2014-02-12 11:25:42	ga_ls7e_ard_3-0-0_111081_2014-02-12_final
2014-05-17 11:39:46	ga_ls7e_ard_3-0-0_113084_2014-05-17_final
2014-07-04 11:33:10	ga_ls7e_ard_3-0-0_113067_2014-07-04_final
2015-01-07 11:18:52	ga_ls7e_ard_3-0-0_110075_2015-01-07_final
2015-03-24 11:43:40	ga_ls7e_ard_3-0-0_114074_2015-03-24_final
2015-04-13 11:17:31	ga_ls7e_ard_3-0-0_110070_2015-04-13_final
2015-11-30 11:26:11	ga_ls7e_ard_3-0-0_111072_2015-11-30_final
2016-02-02 11:28:18	ga_ls7e_ard_3-0-0_111075_2016-02-02_final
2016-02-09 11:34:07	ga_ls7e_ard_3-0-0_112074_2016-02-09_final
2016-02-18 11:30:45	ga_ls7e_ard_3-0-0_111081_2016-02-18_final
2016-04-06 11:28:40	ga_ls7e_ard_3-0-0_111075_2016-04-06_final
2016-05-22 11:40:53	ga_ls7e_ard_3-0-0_113074_2016-05-22_final
2017-02-20 11:25:42	ga_ls7e_ard_3-0-0_111068_2017-02-20_final
2017-08-08 11:22:55	ga_ls7e_ard_3-0-0_110075_2017-08-08_final
2017-09-12 11:54:12	ga_ls7e_ard_3-0-0_115076_2017-09-12_final
2017-09-23 11:38:50	ga_ls7e_ard_3-0-0_112084_2017-09-23_final
2018-04-10 11:41:40	ga_ls7e_ard_3-0-0_113080_2018-04-10_final
2019-03-30 09:44:26	ga_ls7e_ard_3-0-0_095086_2019-03-30_final
2019-05-17 11:19:57	ga_ls7e_ard_3-1-0_111082_2019-05-17_final
2019-11-25 09:33:57	ga_ls7e_ard_3-1-0_095084_2019-11-25_final
2019-12-11 09:32:46	ga_ls7e_ard_3-1-0_095083_2019-12-11_final
2019-12-27 09:25:34	ga_ls7e_ard_3-1-0_095067_2019-12-26_final
2020-02-15 10:56:20	ga_ls7e_ard_3-1-0_109084_2020-02-15_final
2020-02-29 11:07:34	ga_ls7e_ard_3-1-0_111083_2020-02-29_final
2020-06-27 11:06:25	ga_ls7e_ard_3-1-0_112082_2020-06-27_final
2020-09-24 10:50:12	ga_ls7e_ard_3-1-0_111071_2020-09-24_final
2020-10-06 11:15:46	ga_ls7e_ard_3-1-0_115075_2020-10-06_final
2020-10-24 10:59:03	ga_ls7e_ard_3-1-0_113067_2020-10-24_final
2021-03-20 09:43:32	ga_ls7e_ard_3-2-0_102075_2021-03-20_final
2021-03-25 08:25:11	ga_ls7e_ard_3-2-0_089081_2021-03-24_final
2021-04-06 10:25:48	ga_ls7e_ard_3-2-0_109076_2021-04-06_final
2021-04-11 09:08:14	ga_ls7e_ard_3-2-0_096084_2021-04-10_final
2021-04-17 10:03:57	ga_ls7e_ard_3-2-0_106070_2021-04-17_final
2021-05-11 10:54:10	ga_ls7e_ard_3-2-0_114077_2021-05-11_final
2021-05-31 08:52:51	ga_ls7e_ard_3-2-0_094087_2021-05-30_final
2021-06-03 09:22:18	ga_ls7e_ard_3-2-0_099084_2021-06-02_final
2021-06-16 10:24:26	ga_ls7e_ard_3-2-0_110072_2021-06-16_final
2021-06-21 10:44:33	ga_ls7e_ard_3-2-0_113077_2021-06-21_final
2021-07-14 10:49:36	ga_ls7e_ard_3-2-0_114079_2021-07-14_final
2021-07-29 10:03:03	ga_ls7e_ard_3-2-0_107074_2021-07-29_final
2021-08-01 08:58:48	ga_ls7e_ard_3-2-0_096084_2021-07-31_final
2021-08-04 09:26:38	ga_ls7e_ard_3-2-0_101077_2021-08-03_final
2021-09-01 09:45:19	ga_ls7e_ard_3-2-0_105068_2021-09-01_final
2021-09-28 09:24:22	ga_ls7e_ard_3-2-0_102068_2021-09-27_final
2021-10-09 09:06:28	ga_ls7e_ard_3-2-0_099072_2021-10-08_final
2021-10-22 10:14:53	ga_ls7e_ard_3-2-0_110076_2021-10-22_final
2021-11-02 09:57:19	ga_ls7e_ard_3-2-0_107081_2021-11-02_final
2021-11-06 09:29:26	ga_ls7e_ard_3-2-0_103074_2021-11-05_final
2021-12-23 08:46:27	ga_ls7e_ard_3-2-1_096086_2021-12-22_final
2022-01-24 08:40:33	ga_ls7e_ard_3-2-1_096079_2022-01-23_final
2022-01-31 08:47:14	ga_ls7e_ard_3-2-1_097082_2022-01-30_final
2022-01-31 10:26:30	ga_ls7e_ard_3-2-1_113083_2022-01-31_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