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
2004-11-04 09:52:14	ga_ls7e_ard_3-0-0_098068_2004-11-04_final
2004-11-04 09:52:38	ga_ls7e_ard_3-0-0_098069_2004-11-04_final
2004-11-05 10:35:30	ga_ls7e_ard_3-0-0_105068_2004-11-05_final
2004-11-05 10:35:54	ga_ls7e_ard_3-0-0_105069_2004-11-05_final
2004-12-06 09:52:30	ga_ls7e_ard_3-0-0_098068_2004-12-06_final
2004-12-06 09:52:54	ga_ls7e_ard_3-0-0_098069_2004-12-06_final
2004-12-07 10:35:46	ga_ls7e_ard_3-0-0_105068_2004-12-07_final
2004-12-07 10:36:10	ga_ls7e_ard_3-0-0_105069_2004-12-07_final
2005-02-27 10:23:55	ga_ls7e_ard_3-0-0_103068_2005-02-27_final
2005-02-27 10:24:19	ga_ls7e_ard_3-0-0_103069_2005-02-27_final
2007-10-24 10:17:58	ga_ls7e_ard_3-0-0_102068_2007-10-24_final
2007-10-24 10:18:22	ga_ls7e_ard_3-0-0_102069_2007-10-24_final
2007-10-31 10:24:13	ga_ls7e_ard_3-0-0_103068_2007-10-31_final
2007-10-31 10:24:37	ga_ls7e_ard_3-0-0_103069_2007-10-31_final
2007-11-14 10:36:43	ga_ls7e_ard_3-0-0_105068_2007-11-14_final
2007-11-14 10:37:07	ga_ls7e_ard_3-0-0_105069_2007-11-14_final
2007-11-16 10:24:22	ga_ls7e_ard_3-0-0_103068_2007-11-16_final
2007-12-21 10:55:52	ga_ls7e_ard_3-0-0_108069_2007-12-21_final
2007-12-22 09:59:51	ga_ls7e_ard_3-0-0_099068_2007-12-22_final
2007-12-23 10:43:07	ga_ls7e_ard_3-0-0_106068_2007-12-23_final
2007-12-23 10:43:31	ga_ls7e_ard_3-0-0_106069_2007-12-23_final
2007-12-24 09:47:54	ga_ls7e_ard_3-0-0_097069_2007-12-24_final
2007-12-25 10:30:46	ga_ls7e_ard_3-0-0_104068_2007-12-25_final
2007-12-25 10:31:10	ga_ls7e_ard_3-0-0_104069_2007-12-25_final
2007-12-26 11:14:02	ga_ls7e_ard_3-0-0_111068_2007-12-26_final
2008-01-31 09:10:25	ga_ls7e_ard_3-1-0_091068_2008-01-30_final
2008-02-01 09:53:40	ga_ls7e_ard_3-0-0_098068_2008-02-01_final
2012-12-22 10:36:34	ga_ls7e_ard_3-0-0_104068_2012-12-22_final
2012-12-23 11:19:50	ga_ls7e_ard_3-0-0_111068_2012-12-23_final
2012-12-24 10:24:13	ga_ls7e_ard_3-0-0_102068_2012-12-24_final
2012-12-24 10:24:37	ga_ls7e_ard_3-0-0_102069_2012-12-24_final
2013-05-06 10:42:30	ga_ls7e_ard_3-0-0_105068_2013-05-06_final
2013-05-08 10:30:08	ga_ls7e_ard_3-0-0_103068_2013-05-08_final
2013-05-08 10:30:32	ga_ls7e_ard_3-0-0_103069_2013-05-08_final
2013-05-11 11:01:25	ga_ls7e_ard_3-0-0_108069_2013-05-11_final
2013-05-12 10:05:24	ga_ls7e_ard_3-0-0_099068_2013-05-12_final
2013-05-13 10:48:40	ga_ls7e_ard_3-0-0_106068_2013-05-13_final
2013-05-13 10:49:04	ga_ls7e_ard_3-0-0_106069_2013-05-13_final
2013-05-15 10:36:18	ga_ls7e_ard_3-0-0_104068_2013-05-15_final
2013-06-18 10:23:43	ga_ls7e_ard_3-0-0_102068_2013-06-18_final
2013-06-18 10:24:07	ga_ls7e_ard_3-0-0_102069_2013-06-18_final
2013-06-23 10:42:13	ga_ls7e_ard_3-0-0_105068_2013-06-23_final
2013-06-25 10:29:51	ga_ls7e_ard_3-0-0_103068_2013-06-25_final
2013-07-08 09:59:11	ga_ls7e_ard_3-0-0_098069_2013-07-08_final
2013-07-09 10:42:02	ga_ls7e_ard_3-0-0_105068_2013-07-09_final
2013-07-09 10:42:25	ga_ls7e_ard_3-0-0_105069_2013-07-09_final
2013-07-11 10:29:39	ga_ls7e_ard_3-0-0_103068_2013-07-11_final
2013-07-11 10:30:03	ga_ls7e_ard_3-0-0_103069_2013-07-11_final
2013-07-14 11:00:56	ga_ls7e_ard_3-0-0_108069_2013-07-14_final
2013-07-15 10:04:55	ga_ls7e_ard_3-0-0_099068_2013-07-15_final
2013-07-15 10:05:19	ga_ls7e_ard_3-0-0_099069_2013-07-15_final
2013-07-16 10:48:10	ga_ls7e_ard_3-0-0_106068_2013-07-16_final
2013-07-18 10:35:48	ga_ls7e_ard_3-0-0_104068_2013-07-18_final
2013-07-19 11:19:03	ga_ls7e_ard_3-0-0_111068_2013-07-19_final
2013-07-20 10:23:25	ga_ls7e_ard_3-0-0_102068_2013-07-20_final
2013-07-20 10:23:49	ga_ls7e_ard_3-0-0_102069_2013-07-20_final
2013-07-24 09:58:40	ga_ls7e_ard_3-0-0_098068_2013-07-24_final
2013-07-24 09:59:04	ga_ls7e_ard_3-0-0_098069_2013-07-24_final
2014-11-23 10:07:49	ga_ls7e_ard_3-0-0_099068_2014-11-23_final
2014-11-23 10:08:12	ga_ls7e_ard_3-0-0_099069_2014-11-23_final
2014-11-24 10:51:05	ga_ls7e_ard_3-0-0_106068_2014-11-24_final
2014-11-24 10:51:29	ga_ls7e_ard_3-0-0_106069_2014-11-24_final
2014-11-26 10:38:44	ga_ls7e_ard_3-0-0_104068_2014-11-26_final
2015-03-09 10:45:30	ga_ls7e_ard_3-0-0_105068_2015-03-09_final
2015-03-09 10:45:54	ga_ls7e_ard_3-0-0_105069_2015-03-09_final
2015-03-11 10:33:08	ga_ls7e_ard_3-0-0_103068_2015-03-11_final
2015-03-11 10:33:32	ga_ls7e_ard_3-0-0_103069_2015-03-11_final
2015-03-14 11:04:29	ga_ls7e_ard_3-0-0_108069_2015-03-14_final
2015-03-27 10:33:18	ga_ls7e_ard_3-0-0_103068_2015-03-27_final
2015-04-16 10:08:45	ga_ls7e_ard_3-0-0_099068_2015-04-16_final
2015-04-16 10:09:09	ga_ls7e_ard_3-0-0_099069_2015-04-16_final
2015-04-17 10:52:01	ga_ls7e_ard_3-0-0_106068_2015-04-17_final
2015-04-17 10:52:25	ga_ls7e_ard_3-0-0_106069_2015-04-17_final
2015-04-18 09:56:47	ga_ls7e_ard_3-0-0_097069_2015-04-18_final
2015-04-19 10:39:39	ga_ls7e_ard_3-0-0_104068_2015-04-19_final
2015-04-20 11:22:55	ga_ls7e_ard_3-0-0_111068_2015-04-20_final
2015-05-11 10:02:45	ga_ls7e_ard_3-0-0_098068_2015-05-11_final
2015-05-11 10:03:09	ga_ls7e_ard_3-0-0_098069_2015-05-11_final
2015-05-12 10:46:01	ga_ls7e_ard_3-0-0_105068_2015-05-12_final
2015-05-14 10:33:41	ga_ls7e_ard_3-0-0_103068_2015-05-14_final
2015-05-14 10:34:05	ga_ls7e_ard_3-0-0_103069_2015-05-14_final
2015-05-22 11:23:09	ga_ls7e_ard_3-0-0_111068_2015-05-22_final
2015-05-23 10:27:32	ga_ls7e_ard_3-0-0_102068_2015-05-23_final
2015-05-23 10:27:56	ga_ls7e_ard_3-0-0_102069_2015-05-23_final
2015-07-15 10:46:21	ga_ls7e_ard_3-0-0_105068_2015-07-15_final
2015-07-17 10:34:00	ga_ls7e_ard_3-0-0_103068_2015-07-17_final
2015-08-09 10:40:15	ga_ls7e_ard_3-0-0_104068_2015-08-09_final
2015-08-09 10:40:39	ga_ls7e_ard_3-0-0_104069_2015-08-09_final
2015-08-10 11:23:31	ga_ls7e_ard_3-0-0_111068_2015-08-10_final
2015-08-11 10:27:54	ga_ls7e_ard_3-0-0_102068_2015-08-11_final
2017-12-10 10:05:46	ga_ls7e_ard_3-0-0_098068_2017-12-10_final
2017-12-11 10:49:01	ga_ls7e_ard_3-0-0_105068_2017-12-11_final
2018-08-10 10:32:55	ga_ls7e_ard_3-0-0_103068_2018-08-10_final
2019-07-09 09:52:04	ga_ls7e_ard_3-0-0_098068_2019-07-09_final
2019-07-10 10:35:17	ga_ls7e_ard_3-0-0_105068_2019-07-10_final
2019-07-10 10:35:41	ga_ls7e_ard_3-0-0_105069_2019-07-10_final
2019-08-22 10:15:00	ga_ls7e_ard_3-0-0_102068_2019-08-22_final
2019-08-26 09:50:06	ga_ls7e_ard_3-1-0_098068_2019-08-26_final
2019-08-27 10:33:19	ga_ls7e_ard_3-1-0_105068_2019-08-27_final
2019-09-11 09:49:25	ga_ls7e_ard_3-1-0_098068_2019-09-11_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