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
2002-03-11 09:58:51	ga_ls7e_ard_3-0-0_099069_2002-03-11_final
2002-03-12 10:42:06	ga_ls7e_ard_3-0-0_106069_2002-03-12_final
2002-03-12 10:42:30	ga_ls7e_ard_3-0-0_106070_2002-03-12_final
2002-03-26 10:54:22	ga_ls7e_ard_3-0-0_108069_2002-03-26_final
2002-03-26 10:54:46	ga_ls7e_ard_3-0-0_108070_2002-03-26_final
2002-03-27 09:58:44	ga_ls7e_ard_3-0-0_099069_2002-03-27_final
2002-03-27 09:59:08	ga_ls7e_ard_3-0-0_099070_2002-03-27_final
2002-03-28 10:42:00	ga_ls7e_ard_3-0-0_106069_2002-03-28_final
2002-03-29 09:46:22	ga_ls7e_ard_3-0-0_097069_2002-03-29_final
2002-03-29 09:46:46	ga_ls7e_ard_3-0-0_097070_2002-03-29_final
2002-03-30 10:29:37	ga_ls7e_ard_3-0-0_104069_2002-03-30_final
2002-03-30 10:30:01	ga_ls7e_ard_3-1-0_104070_2002-03-30_final
2003-12-27 09:58:49	ga_ls7e_ard_3-0-0_099069_2003-12-27_final
2003-12-27 09:59:13	ga_ls7e_ard_3-0-0_099070_2003-12-27_final
2003-12-28 10:42:05	ga_ls7e_ard_3-0-0_106069_2003-12-28_final
2003-12-28 10:42:29	ga_ls7e_ard_3-0-0_106070_2003-12-28_final
2003-12-30 10:29:44	ga_ls7e_ard_3-0-0_104069_2003-12-30_final
2004-01-04 10:48:41	ga_ls7e_ard_3-0-0_107070_2004-01-04_final
2004-01-11 10:54:52	ga_ls7e_ard_3-0-0_108070_2004-01-11_final
2004-01-12 09:58:51	ga_ls7e_ard_3-0-0_099069_2004-01-12_final
2004-01-13 10:42:30	ga_ls7e_ard_3-0-0_106070_2004-01-13_final
2004-01-14 09:46:29	ga_ls7e_ard_3-0-0_097069_2004-01-14_final
2004-01-15 10:29:45	ga_ls7e_ard_3-0-0_104069_2004-01-15_final
2004-01-17 10:17:25	ga_ls7e_ard_3-0-0_102069_2004-01-17_final
2004-01-17 10:17:49	ga_ls7e_ard_3-0-0_102070_2004-01-17_final
2004-01-18 11:01:06	ga_ls7e_ard_3-0-0_109070_2004-01-18_final
2004-01-20 10:48:46	ga_ls7e_ard_3-0-0_107070_2004-01-20_final
2004-03-16 09:59:11	ga_ls7e_ard_3-0-0_099069_2004-03-16_final
2004-03-16 09:59:35	ga_ls7e_ard_3-0-0_099070_2004-03-16_final
2004-04-23 11:01:15	ga_ls7e_ard_3-0-0_109070_2004-04-23_final
2004-04-26 09:52:53	ga_ls7e_ard_3-0-0_098069_2004-04-26_final
2004-04-26 09:53:17	ga_ls7e_ard_3-0-0_098070_2004-04-26_final
2004-05-12 09:52:56	ga_ls7e_ard_3-0-0_098069_2004-05-12_final
2004-05-12 09:53:20	ga_ls7e_ard_3-0-0_098070_2004-05-12_final
2004-05-13 10:36:12	ga_ls7e_ard_3-0-0_105069_2004-05-13_final
2004-05-13 10:36:36	ga_ls7e_ard_3-0-0_105070_2004-05-13_final
2004-05-15 10:23:50	ga_ls7e_ard_3-1-0_103069_2004-05-15_final
2004-05-15 10:24:14	ga_ls7e_ard_3-1-0_103070_2004-05-15_final
2004-05-16 11:07:30	ga_ls7e_ard_3-0-0_110070_2004-05-16_final
2004-05-18 10:54:44	ga_ls7e_ard_3-0-0_108069_2004-05-18_final
2004-05-18 10:55:08	ga_ls7e_ard_3-0-0_108070_2004-05-18_final
2004-05-19 09:59:07	ga_ls7e_ard_3-0-0_099069_2004-05-19_final
2004-05-19 09:59:31	ga_ls7e_ard_3-0-0_099070_2004-05-19_final
2004-05-20 10:42:22	ga_ls7e_ard_3-0-0_106069_2004-05-20_final
2004-05-20 10:42:46	ga_ls7e_ard_3-0-0_106070_2004-05-20_final
2004-06-07 10:29:55	ga_ls7e_ard_3-0-0_104069_2004-06-07_final
2004-06-07 10:30:19	ga_ls7e_ard_3-1-0_104070_2004-06-07_final
2004-06-09 10:17:33	ga_ls7e_ard_3-0-0_102069_2004-06-09_final
2004-06-09 10:17:56	ga_ls7e_ard_3-0-0_102070_2004-06-09_final
2004-06-10 11:01:12	ga_ls7e_ard_3-0-0_109070_2004-06-10_final
2015-09-06 11:05:25	ga_ls7e_ard_3-0-0_108069_2015-09-06_final
2015-09-07 10:09:48	ga_ls7e_ard_3-0-0_099069_2015-09-07_final
2015-09-08 10:53:04	ga_ls7e_ard_3-0-0_106069_2015-09-08_final
2015-09-09 09:57:27	ga_ls7e_ard_3-0-0_097069_2015-09-09_final
2015-09-10 10:40:44	ga_ls7e_ard_3-0-0_104069_2015-09-10_final
2015-09-12 10:28:23	ga_ls7e_ard_3-0-0_102069_2015-09-12_final
2015-09-19 10:34:36	ga_ls7e_ard_3-0-0_103069_2015-09-19_final
2015-09-22 11:05:30	ga_ls7e_ard_3-0-0_108069_2015-09-22_final
2015-09-23 10:09:53	ga_ls7e_ard_3-0-0_099069_2015-09-23_final
2015-09-24 10:53:09	ga_ls7e_ard_3-0-0_106069_2015-09-24_final
2015-09-25 09:57:32	ga_ls7e_ard_3-0-0_097069_2015-09-25_final
2015-09-26 10:40:48	ga_ls7e_ard_3-0-0_104069_2015-09-26_final
2015-09-28 10:28:26	ga_ls7e_ard_3-0-0_102069_2015-09-28_final
2016-01-12 11:07:08	ga_ls7e_ard_3-0-0_108069_2016-01-12_final
2016-02-15 10:55:04	ga_ls7e_ard_3-0-0_106069_2016-02-15_final
2016-02-16 09:59:26	ga_ls7e_ard_3-0-0_097069_2016-02-16_final
2016-02-17 10:42:42	ga_ls7e_ard_3-0-0_104069_2016-02-17_final
2016-02-19 10:30:21	ga_ls7e_ard_3-0-0_102069_2016-02-19_final
2016-03-16 11:07:39	ga_ls7e_ard_3-0-0_108069_2016-03-16_final
2016-03-18 10:55:18	ga_ls7e_ard_3-0-0_106069_2016-03-18_final
2016-03-20 10:42:57	ga_ls7e_ard_3-0-0_104069_2016-03-20_final
2016-03-27 10:49:10	ga_ls7e_ard_3-0-0_105069_2016-03-27_final
2016-03-29 10:36:48	ga_ls7e_ard_3-0-0_103069_2016-03-29_final
2016-04-17 11:07:50	ga_ls7e_ard_3-0-0_108069_2016-04-17_final
2016-04-18 10:12:13	ga_ls7e_ard_3-0-0_099069_2016-04-18_final
2016-04-19 10:55:29	ga_ls7e_ard_3-0-0_106069_2016-04-19_final
2016-04-20 09:59:52	ga_ls7e_ard_3-0-0_097069_2016-04-20_final
2017-12-04 10:43:18	ga_ls7e_ard_3-0-0_104069_2017-12-04_final
2017-12-06 10:30:55	ga_ls7e_ard_3-0-0_102069_2017-12-06_final
2018-02-15 10:36:10	ga_ls7e_ard_3-0-0_103069_2018-02-15_final
2018-03-28 10:29:30	ga_ls7e_ard_3-0-0_102069_2018-03-28_final
2018-04-01 10:04:43	ga_ls7e_ard_3-0-0_098069_2018-04-01_final
2018-04-02 10:47:58	ga_ls7e_ard_3-0-0_105069_2018-04-02_final
2018-05-26 10:09:59	ga_ls7e_ard_3-0-0_099069_2018-05-26_final
2018-05-27 10:53:14	ga_ls7e_ard_3-0-0_106069_2018-05-27_final
2018-05-28 09:57:35	ga_ls7e_ard_3-0-0_097069_2018-05-28_final
2018-05-29 10:40:50	ga_ls7e_ard_3-0-0_104069_2018-05-29_final
2018-05-31 10:28:26	ga_ls7e_ard_3-0-0_102069_2018-05-31_final
2018-06-20 10:03:22	ga_ls7e_ard_3-0-0_098069_2018-06-20_final
2018-08-23 10:02:10	ga_ls7e_ard_3-0-0_098069_2018-08-23_final
2018-08-24 10:45:24	ga_ls7e_ard_3-0-0_105069_2018-08-24_final
2018-08-26 10:33:00	ga_ls7e_ard_3-0-0_103069_2018-08-26_final
2018-08-29 11:03:50	ga_ls7e_ard_3-0-0_108069_2018-08-29_final
2018-08-30 10:08:12	ga_ls7e_ard_3-0-0_099069_2018-08-30_final
2018-08-31 10:51:26	ga_ls7e_ard_3-0-0_106069_2018-08-31_final
2018-09-01 09:55:48	ga_ls7e_ard_3-0-0_097069_2018-09-01_final
2020-02-18 09:42:13	ga_ls7e_ard_3-1-0_098069_2020-02-18_final
2020-02-19 10:25:26	ga_ls7e_ard_3-1-0_105069_2020-02-19_final
2020-04-22 09:38:39	ga_ls7e_ard_3-1-0_098069_2020-04-22_final
2020-04-23 10:21:51	ga_ls7e_ard_3-1-0_105069_2020-04-23_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