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
2004-01-11 09:14:47	ga_ls7e_ard_3-0-0_092067_2004-01-10_final
2004-01-11 09:15:11	ga_ls7e_ard_3-0-0_092068_2004-01-10_final
2004-01-12 09:58:03	ga_ls7e_ard_3-0-0_099067_2004-01-12_final
2004-01-12 09:58:27	ga_ls7e_ard_3-0-0_099068_2004-01-12_final
2004-02-08 11:18:35	ga_ls7e_ard_3-0-0_112067_2004-02-08_final
2004-02-10 11:06:13	ga_ls7e_ard_3-0-0_110067_2004-02-10_final
2004-03-21 10:17:21	ga_ls7e_ard_3-0-0_102068_2004-03-21_final
2004-04-10 09:52:10	ga_ls7e_ard_3-0-0_098067_2004-04-10_final
2004-04-10 09:52:34	ga_ls7e_ard_3-0-0_098068_2004-04-10_final
2004-04-10 11:31:03	ga_ls7e_ard_3-0-0_114067_2004-04-10_final
2004-04-11 10:35:49	ga_ls7e_ard_3-0-0_105068_2004-04-11_final
2004-04-12 11:18:40	ga_ls7e_ard_3-0-0_112067_2004-04-12_final
2004-04-13 10:23:26	ga_ls7e_ard_3-0-0_103068_2004-04-13_final
2004-04-14 09:27:24	ga_ls7e_ard_3-1-0_094067_2004-04-13_final
2004-05-08 10:17:15	ga_ls7e_ard_3-0-0_102068_2004-05-08_final
2004-05-09 09:21:14	ga_ls7e_ard_3-0-0_093067_2004-05-08_final
2004-07-06 09:58:08	ga_ls7e_ard_3-0-0_099067_2004-07-06_final
2004-07-06 09:58:32	ga_ls7e_ard_3-0-0_099068_2004-07-06_final
2004-07-07 10:41:47	ga_ls7e_ard_3-0-0_106068_2004-07-07_final
2004-07-09 10:29:25	ga_ls7e_ard_3-0-0_104068_2004-07-09_final
2004-07-10 11:12:17	ga_ls7e_ard_3-0-0_111067_2004-07-10_final
2004-07-10 11:12:41	ga_ls7e_ard_3-0-0_111068_2004-07-10_final
2004-07-11 10:17:03	ga_ls7e_ard_3-0-0_102068_2004-07-11_final
2004-08-23 09:57:55	ga_ls7e_ard_3-0-0_099067_2004-08-23_final
2004-08-23 09:58:19	ga_ls7e_ard_3-0-0_099068_2004-08-23_final
2004-08-24 10:41:34	ga_ls7e_ard_3-0-0_106068_2004-08-24_final
2004-08-25 11:24:26	ga_ls7e_ard_3-0-0_113067_2004-08-25_final
2004-08-26 10:29:12	ga_ls7e_ard_3-0-0_104068_2004-08-26_final
2004-08-27 09:33:10	ga_ls7e_ard_3-0-0_095067_2004-08-27_final
2004-08-27 11:12:03	ga_ls7e_ard_3-0-0_111067_2004-08-27_final
2004-08-27 11:12:27	ga_ls7e_ard_3-0-0_111068_2004-08-27_final
2004-08-28 10:16:50	ga_ls7e_ard_3-0-0_102068_2004-08-28_final
2004-08-29 09:20:48	ga_ls7e_ard_3-0-0_093067_2004-08-28_final
2004-08-31 09:08:50	ga_ls7e_ard_3-1-0_091068_2004-08-30_final
2004-09-10 11:24:20	ga_ls7e_ard_3-0-0_113067_2004-09-10_final
2004-09-11 10:29:06	ga_ls7e_ard_3-0-0_104068_2004-09-11_final
2004-09-12 11:11:57	ga_ls7e_ard_3-0-0_111067_2004-09-12_final
2004-09-12 11:12:21	ga_ls7e_ard_3-0-0_111068_2004-09-12_final
2004-09-13 10:16:43	ga_ls7e_ard_3-0-0_102068_2004-09-13_final
2004-09-14 09:20:41	ga_ls7e_ard_3-0-0_093067_2004-09-13_final
2007-12-22 09:59:27	ga_ls7e_ard_3-0-0_099067_2007-12-22_final
2007-12-25 10:30:46	ga_ls7e_ard_3-0-0_104068_2007-12-25_final
2007-12-31 09:53:18	ga_ls7e_ard_3-0-0_098067_2007-12-31_final
2008-01-23 09:59:29	ga_ls7e_ard_3-0-0_099067_2008-01-23_final
2008-01-25 11:26:00	ga_ls7e_ard_3-0-0_113067_2008-01-25_final
2008-03-15 09:34:33	ga_ls7e_ard_3-0-0_095067_2008-03-15_final
2008-03-15 11:13:26	ga_ls7e_ard_3-0-0_111067_2008-03-15_final
2008-03-17 09:22:11	ga_ls7e_ard_3-0-0_093067_2008-03-16_final
2008-03-20 09:53:05	ga_ls7e_ard_3-0-0_098067_2008-03-20_final
2008-03-20 11:31:59	ga_ls7e_ard_3-0-0_114067_2008-03-20_final
2008-04-21 09:53:03	ga_ls7e_ard_3-0-0_098067_2008-04-21_final
2008-04-21 11:31:57	ga_ls7e_ard_3-0-0_114067_2008-04-21_final
2008-04-28 09:59:13	ga_ls7e_ard_3-0-0_099067_2008-04-28_final
2008-04-30 11:25:44	ga_ls7e_ard_3-0-0_113067_2008-04-30_final
2008-05-07 11:31:52	ga_ls7e_ard_3-0-0_114067_2008-05-07_final
2008-06-15 09:58:52	ga_ls7e_ard_3-0-0_099067_2008-06-15_final
2016-09-18 10:06:04	ga_ls7e_ard_3-0-0_098068_2016-09-18_final
2016-09-18 11:44:33	ga_ls7e_ard_3-0-0_114067_2016-09-18_final
2016-12-18 09:46:50	ga_ls7e_ard_3-0-0_095067_2016-12-18_final
2016-12-23 10:05:20	ga_ls7e_ard_3-0-0_098067_2016-12-23_final
2021-08-10 10:23:55	ga_ls7e_ard_3-2-0_111067_2021-08-10_final
2021-08-15 09:03:08	ga_ls7e_ard_3-2-0_098067_2021-08-14_final
2021-08-15 10:42:00	ga_ls7e_ard_3-2-0_114067_2021-08-15_final
2021-08-31 09:01:45	ga_ls7e_ard_3-2-0_098067_2021-08-30_final
2021-08-31 10:40:37	ga_ls7e_ard_3-2-0_114067_2021-08-31_final
2021-09-02 08:49:13	ga_ls7e_ard_3-2-0_096067_2021-09-01_final
2021-09-07 09:07:19	ga_ls7e_ard_3-2-0_099067_2021-09-06_final
2021-09-09 10:33:39	ga_ls7e_ard_3-2-0_113067_2021-09-09_final
2021-09-11 10:21:07	ga_ls7e_ard_3-2-0_111067_2021-09-11_final
2021-09-16 09:00:20	ga_ls7e_ard_3-2-0_098067_2021-09-15_final
2021-09-16 10:39:13	ga_ls7e_ard_3-2-0_114067_2021-09-16_final
2021-09-18 08:47:48	ga_ls7e_ard_3-2-0_096067_2021-09-17_final
2021-09-18 10:26:41	ga_ls7e_ard_3-2-0_112067_2021-09-18_final
2021-09-20 10:14:08	ga_ls7e_ard_3-2-0_110067_2021-09-20_final
2021-09-23 09:05:53	ga_ls7e_ard_3-2-0_099067_2021-09-22_final
2021-10-02 08:58:54	ga_ls7e_ard_3-2-0_098067_2021-10-01_final
2021-10-02 10:37:47	ga_ls7e_ard_3-2-0_114067_2021-10-02_final
2021-10-04 08:46:22	ga_ls7e_ard_3-2-0_096067_2021-10-03_final
2021-10-06 08:33:50	ga_ls7e_ard_3-2-0_094067_2021-10-05_final
2021-10-06 10:12:43	ga_ls7e_ard_3-2-0_110067_2021-10-06_final
2021-10-09 09:04:29	ga_ls7e_ard_3-2-0_099067_2021-10-08_final
2021-10-11 10:30:49	ga_ls7e_ard_3-2-0_113067_2021-10-11_final
2021-10-13 08:39:24	ga_ls7e_ard_3-2-0_095067_2021-10-12_final
2021-10-13 10:18:17	ga_ls7e_ard_3-2-0_111067_2021-10-13_final
2021-10-22 08:32:25	ga_ls7e_ard_3-2-0_094067_2021-10-21_final
2021-10-22 10:11:17	ga_ls7e_ard_3-2-0_110067_2021-10-22_final
2021-10-25 09:03:02	ga_ls7e_ard_3-2-0_099067_2021-10-24_final
2021-10-27 10:29:22	ga_ls7e_ard_3-2-0_113067_2021-10-27_final
2021-10-29 08:37:57	ga_ls7e_ard_3-2-0_095067_2021-10-28_final
2021-10-29 10:16:50	ga_ls7e_ard_3-2-0_111067_2021-10-29_final
2021-11-07 08:30:55	ga_ls7e_ard_3-2-0_094067_2021-11-06_final
2021-11-07 10:09:48	ga_ls7e_ard_3-2-0_110067_2021-11-07_final
2021-11-26 08:59:58	ga_ls7e_ard_3-2-1_099067_2021-11-25_final
2021-12-21 08:51:26	ga_ls7e_ard_3-2-1_098067_2021-12-20_final
2022-01-22 08:48:19	ga_ls7e_ard_3-2-1_098067_2022-01-21_final
2022-01-29 08:53:48	ga_ls7e_ard_3-2-1_099067_2022-01-28_final
2022-02-07 08:46:43	ga_ls7e_ard_3-2-1_098067_2022-02-06_final
2022-02-14 08:52:10	ga_ls7e_ard_3-2-1_099067_2022-02-13_final
2022-03-02 08:50:38	ga_ls7e_ard_3-2-1_099067_2022-03-01_final
2022-03-11 08:43:33	ga_ls7e_ard_3-2-1_098067_2022-03-10_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