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
2000-02-04 11:28:26	ga_ls7e_ard_3-0-0_113067_2000-02-04_final
2001-01-23 11:16:37	ga_ls7e_ard_3-0-0_111074_2001-01-23_final
2001-08-05 11:02:47	ga_ls7e_ard_3-0-0_109074_2001-08-05_final
2002-10-16 11:19:59	ga_ls7e_ard_3-0-0_112074_2002-10-16_final
2003-05-05 11:18:26	ga_ls7e_ard_3-0-0_111083_2003-05-05_final
2003-10-21 11:08:36	ga_ls7e_ard_3-0-0_110075_2003-10-21_final
2003-10-21 11:10:59	ga_ls7e_ard_3-0-0_110081_2003-10-21_final
2004-02-13 11:41:31	ga_ls7e_ard_3-0-0_115078_2004-02-13_final
2004-11-10 10:58:28	ga_ls7e_ard_3-0-0_108079_2004-11-10_final
2004-12-17 09:36:01	ga_ls7e_ard_3-1-0_095073_2004-12-17_final
2005-01-02 11:19:02	ga_ls7e_ard_3-0-0_111083_2005-01-02_final
2005-09-17 11:01:59	ga_ls7e_ard_3-0-0_109072_2005-09-17_final
2005-11-18 11:12:48	ga_ls7e_ard_3-0-0_111067_2005-11-18_final
2005-11-29 10:56:43	ga_ls7e_ard_3-0-0_108073_2005-11-29_final
2006-02-02 11:41:13	ga_ls7e_ard_3-0-0_115075_2006-02-02_final
2006-03-09 08:57:14	ga_ls7e_ard_3-0-0_088082_2006-03-08_final
2006-08-19 11:03:47	ga_ls7e_ard_3-0-0_109075_2006-08-19_final
2006-11-30 11:08:23	ga_ls7e_ard_3-0-0_110070_2006-11-30_final
2007-03-13 11:18:12	ga_ls7e_ard_3-0-0_111078_2007-03-13_final
2007-05-28 11:41:52	ga_ls7e_ard_3-0-0_115076_2007-05-28_final
2007-06-12 10:58:12	ga_ls7e_ard_3-1-0_108075_2007-06-12_final
2007-06-17 09:41:03	ga_ls7e_ard_3-0-0_095083_2007-06-17_final
2007-09-16 11:00:33	ga_ls7e_ard_3-1-0_108082_2007-09-16_final
2008-01-11 09:36:46	ga_ls7e_ard_3-0-0_095072_2008-01-11_final
2008-06-01 11:31:54	ga_ls7e_ard_3-0-0_113083_2008-06-01_final
2008-06-03 09:36:39	ga_ls7e_ard_3-1-0_095073_2008-06-03_final
2008-06-03 11:13:33	ga_ls7e_ard_3-0-0_111068_2008-06-03_final
2008-07-30 11:09:34	ga_ls7e_ard_3-0-0_110075_2008-07-30_final
2008-08-22 11:15:12	ga_ls7e_ard_3-0-0_111074_2008-08-22_final
2008-09-30 11:21:01	ga_ls7e_ard_3-0-0_112074_2008-09-30_final
2009-01-04 11:21:54	ga_ls7e_ard_3-0-0_112074_2009-01-04_final
2009-01-06 11:07:57	ga_ls7e_ard_3-0-0_110070_2009-01-06_final
2009-08-23 11:25:50	ga_ls7e_ard_3-0-0_113067_2009-08-23_final
2010-07-11 09:44:12	ga_ls7e_ard_3-0-0_095086_2010-07-11_final
2010-09-22 11:12:35	ga_ls7e_ard_3-0-0_110075_2010-09-22_final
2011-06-10 11:35:38	ga_ls7e_ard_3-0-0_113083_2011-06-10_final
2011-07-09 11:01:28	ga_ls7e_ard_3-1-0_108075_2011-07-09_final
2012-01-22 11:22:05	ga_ls7e_ard_3-0-0_111079_2012-01-22_final
2012-03-26 11:19:49	ga_ls7e_ard_3-0-0_111073_2012-03-26_final
2012-11-30 11:19:05	ga_ls7e_ard_3-0-0_110082_2012-11-30_final
2012-12-05 11:38:24	ga_ls7e_ard_3-0-0_113084_2012-12-05_final
2012-12-12 11:42:17	ga_ls7e_ard_3-0-0_114078_2012-12-12_final
2013-02-07 11:34:40	ga_ls7e_ard_3-0-0_113074_2013-02-07_final
2013-08-15 11:03:13	ga_ls7e_ard_3-0-0_108075_2013-08-15_final
2013-12-26 09:40:49	ga_ls7e_ard_3-0-0_095067_2013-12-26_final
2014-02-14 11:09:43	ga_ls7e_ard_3-0-0_109072_2014-02-14_final
2014-06-02 11:33:03	ga_ls7e_ard_3-0-0_113067_2014-06-02_final
2014-11-06 11:06:10	ga_ls7e_ard_3-1-0_108075_2014-11-06_final
2015-02-22 11:31:04	ga_ls7e_ard_3-0-0_112074_2015-02-22_final
2015-08-26 09:50:14	ga_ls7e_ard_3-0-0_095082_2015-08-26_final
2015-11-03 11:45:54	ga_ls7e_ard_3-0-0_114076_2015-11-03_final
2015-11-10 11:53:25	ga_ls7e_ard_3-0-0_115079_2015-11-10_final
2016-01-19 11:19:24	ga_ls7e_ard_3-0-0_109084_2016-01-19_final
2016-11-02 11:16:47	ga_ls7e_ard_3-0-0_109075_2016-11-02_final
2017-06-14 11:16:20	ga_ls7e_ard_3-0-0_109074_2017-06-14_final
2017-10-09 11:38:52	ga_ls7e_ard_3-0-0_112084_2017-10-09_final
2018-02-25 11:15:32	ga_ls7e_ard_3-0-0_109075_2018-02-25_final
2018-03-27 11:27:08	ga_ls7e_ard_3-0-0_111074_2018-03-27_final
2018-04-21 11:20:33	ga_ls7e_ard_3-0-0_110074_2018-04-21_final
2018-11-18 11:47:39	ga_ls7e_ard_3-0-0_115075_2018-11-18_final
2018-12-17 11:13:59	ga_ls7e_ard_3-0-0_110070_2018-12-17_final
2018-12-22 11:36:22	ga_ls7e_ard_3-0-0_113080_2018-12-22_final
2019-01-02 11:13:30	ga_ls7e_ard_3-0-0_110070_2019-01-02_final
2019-01-23 11:35:46	ga_ls7e_ard_3-0-0_113081_2019-01-23_final
2019-03-16 11:06:39	ga_ls7e_ard_3-1-0_109074_2019-03-16_final
2019-06-02 11:15:46	ga_ls7e_ard_3-0-0_111073_2019-06-02_final
2019-11-02 11:00:57	ga_ls7e_ard_3-1-0_110067_2019-11-02_final
2019-11-02 11:04:08	ga_ls7e_ard_3-1-0_110075_2019-11-02_final
2020-01-03 11:17:03	ga_ls7e_ard_3-1-0_112084_2020-01-03_final
2020-08-21 11:08:24	ga_ls7e_ard_3-1-0_113080_2020-08-21_final
2020-08-23 10:53:31	ga_ls7e_ard_3-1-0_111074_2020-08-23_final
2020-11-13 10:35:46	ga_ls7e_ard_3-1-0_109074_2020-11-13_final
2021-02-11 09:25:04	ga_ls7e_ard_3-2-0_099068_2021-02-10_final
2021-02-12 08:35:21	ga_ls7e_ard_3-2-0_090083_2021-02-11_final
2021-02-24 10:38:27	ga_ls7e_ard_3-2-0_110084_2021-02-24_final
2021-02-27 09:27:50	ga_ls7e_ard_3-2-0_099078_2021-02-26_final
2021-03-26 09:10:21	ga_ls7e_ard_3-2-0_096086_2021-03-25_final
2021-03-28 10:31:55	ga_ls7e_ard_3-2-0_110074_2021-03-28_final
2021-04-24 08:37:50	ga_ls7e_ard_3-2-0_091088_2021-04-23_final
2021-05-02 09:19:01	ga_ls7e_ard_3-2-0_099069_2021-05-01_final
2021-06-04 08:28:12	ga_ls7e_ard_3-2-0_090088_2021-06-03_final
2021-06-20 08:22:30	ga_ls7e_ard_3-2-0_090077_2021-06-19_final
2021-07-21 10:55:11	ga_ls7e_ard_3-2-0_115079_2021-07-21_final
2021-08-28 10:12:46	ga_ls7e_ard_3-2-0_109074_2021-08-28_final
2021-08-29 09:18:40	ga_ls7e_ard_3-2-0_100078_2021-08-28_final
2021-09-01 09:48:06	ga_ls7e_ard_3-2-0_105075_2021-09-01_final
2021-09-03 09:34:23	ga_ls7e_ard_3-2-0_103072_2021-09-03_final
2021-09-04 08:36:41	ga_ls7e_ard_3-2-0_094067_2021-09-03_final
2021-09-27 10:22:29	ga_ls7e_ard_3-2-0_111074_2021-09-27_final
2021-10-20 08:44:57	ga_ls7e_ard_3-2-0_096067_2021-10-19_final
2021-11-23 08:31:45	ga_ls7e_ard_3-2-1_094073_2021-11-22_final
2021-11-27 09:46:20	ga_ls7e_ard_3-2-1_106075_2021-11-27_final
2021-12-09 10:09:56	ga_ls7e_ard_3-2-1_110075_2021-12-09_final
2022-01-13 08:56:33	ga_ls7e_ard_3-2-1_099070_2022-01-12_final
2022-01-25 09:20:07	ga_ls7e_ard_3-2-1_103070_2022-01-24_final
2022-01-29 08:54:12	ga_ls7e_ard_3-2-1_099068_2022-01-28_final
2022-02-06 09:44:26	ga_ls7e_ard_3-2-1_107072_2022-02-06_final
2022-02-10 09:18:06	ga_ls7e_ard_3-2-1_103069_2022-02-09_final
2022-03-19 08:00:29	ga_ls7e_ard_3-2-1_090085_2022-03-18_final
2022-03-24 09:54:15	ga_ls7e_ard_3-2-1_109077_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