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
2009-09-10 11:13:27	ga_ls7e_ard_3-0-0_111067_2009-09-10_final
2009-10-03 09:40:42	ga_ls7e_ard_3-0-0_096067_2009-10-03_final
2009-10-03 11:19:35	ga_ls7e_ard_3-0-0_112067_2009-10-03_final
2009-10-05 09:28:20	ga_ls7e_ard_3-1-0_094067_2009-10-04_final
2009-10-05 11:07:13	ga_ls7e_ard_3-0-0_110067_2009-10-05_final
2009-10-09 10:42:49	ga_ls7e_ard_3-0-0_106068_2009-10-09_final
2009-10-10 11:25:42	ga_ls7e_ard_3-0-0_113067_2009-10-10_final
2009-10-12 09:34:29	ga_ls7e_ard_3-0-0_095067_2009-10-12_final
2009-10-12 11:13:22	ga_ls7e_ard_3-0-0_111067_2009-10-12_final
2009-10-13 10:18:10	ga_ls7e_ard_3-0-0_102068_2009-10-13_final
2009-10-14 09:22:10	ga_ls7e_ard_3-0-0_093067_2009-10-13_final
2010-01-28 10:00:49	ga_ls7e_ard_3-0-0_099067_2010-01-28_final
2010-01-29 10:44:30	ga_ls7e_ard_3-0-0_106068_2010-01-29_final
2010-02-01 09:36:09	ga_ls7e_ard_3-0-0_095067_2010-02-01_final
2010-02-01 11:15:02	ga_ls7e_ard_3-0-0_111067_2010-02-01_final
2010-02-13 10:01:01	ga_ls7e_ard_3-0-0_099067_2010-02-13_final
2014-12-05 10:32:38	ga_ls7e_ard_3-0-0_103068_2014-12-05_final
2014-12-06 09:36:37	ga_ls7e_ard_3-1-0_094067_2014-12-06_final
2014-12-06 11:15:30	ga_ls7e_ard_3-0-0_110067_2014-12-06_final
2015-02-20 10:01:43	ga_ls7e_ard_3-0-0_098067_2015-02-20_final
2015-02-20 10:02:07	ga_ls7e_ard_3-0-0_098068_2015-02-20_final
2015-02-21 10:45:23	ga_ls7e_ard_3-0-0_105068_2015-02-21_final
2015-02-22 09:49:23	ga_ls7e_ard_3-0-0_096067_2015-02-22_final
2015-04-09 10:02:07	ga_ls7e_ard_3-0-0_098067_2015-04-09_final
2015-04-09 10:02:31	ga_ls7e_ard_3-0-0_098068_2015-04-09_final
2015-04-09 11:41:00	ga_ls7e_ard_3-0-0_114067_2015-04-09_final
2015-04-10 10:45:47	ga_ls7e_ard_3-0-0_105068_2015-04-10_final
2015-04-11 09:49:47	ga_ls7e_ard_3-0-0_096067_2015-04-11_final
2015-04-11 11:28:40	ga_ls7e_ard_3-0-0_112067_2015-04-11_final
2015-04-12 10:33:27	ga_ls7e_ard_3-0-0_103068_2015-04-12_final
2015-04-13 09:37:26	ga_ls7e_ard_3-1-0_094067_2015-04-13_final
2017-02-27 11:31:32	ga_ls7e_ard_3-0-0_112067_2017-02-27_final
2017-02-28 10:36:19	ga_ls7e_ard_3-0-0_103068_2017-02-28_final
2017-03-01 09:40:18	ga_ls7e_ard_3-1-0_094067_2017-03-01_final
2017-03-01 11:19:12	ga_ls7e_ard_3-0-0_110067_2017-03-01_final
2017-03-06 11:37:46	ga_ls7e_ard_3-0-0_113067_2017-03-06_final
2017-03-08 09:46:32	ga_ls7e_ard_3-0-0_095067_2017-03-08_final
2017-03-17 09:40:25	ga_ls7e_ard_3-1-0_094067_2017-03-17_final
2017-04-02 09:40:29	ga_ls7e_ard_3-1-0_094067_2017-04-02_final
2017-04-23 11:38:03	ga_ls7e_ard_3-0-0_113067_2017-04-23_final
2017-04-25 09:46:49	ga_ls7e_ard_3-0-0_095067_2017-04-25_final
2017-04-25 11:25:42	ga_ls7e_ard_3-0-0_111067_2017-04-25_final
2017-05-27 09:46:56	ga_ls7e_ard_3-0-0_095067_2017-05-27_final
2017-05-27 11:25:49	ga_ls7e_ard_3-0-0_111067_2017-05-27_final
2017-07-21 09:53:15	ga_ls7e_ard_3-0-0_096067_2017-07-21_final
2017-07-21 11:32:08	ga_ls7e_ard_3-0-0_112067_2017-07-21_final
2017-07-22 10:36:54	ga_ls7e_ard_3-0-0_103068_2017-07-22_final
2017-07-23 09:40:53	ga_ls7e_ard_3-1-0_094067_2017-07-23_final
2017-07-23 11:19:46	ga_ls7e_ard_3-0-0_110067_2017-07-23_final
2017-08-04 11:44:28	ga_ls7e_ard_3-0-0_114067_2017-08-04_final
2017-08-06 11:32:06	ga_ls7e_ard_3-0-0_112067_2017-08-06_final
2017-08-11 10:11:44	ga_ls7e_ard_3-0-0_099067_2017-08-11_final
2017-08-12 10:55:24	ga_ls7e_ard_3-0-0_106068_2017-08-12_final
2017-08-20 10:05:33	ga_ls7e_ard_3-0-0_098067_2017-08-20_final
2017-08-22 09:53:12	ga_ls7e_ard_3-0-0_096067_2017-08-22_final
2017-10-23 10:05:35	ga_ls7e_ard_3-0-0_098067_2017-10-23_final
2017-10-25 09:53:14	ga_ls7e_ard_3-0-0_096067_2017-10-25_final
2017-10-25 11:32:07	ga_ls7e_ard_3-0-0_112067_2017-10-25_final
2017-11-03 11:25:55	ga_ls7e_ard_3-0-0_111067_2017-11-03_final
2017-11-03 11:26:19	ga_ls7e_ard_3-0-0_111068_2017-11-03_final
2017-11-04 10:30:42	ga_ls7e_ard_3-0-0_102068_2017-11-04_final
2017-11-08 10:05:34	ga_ls7e_ard_3-0-0_098067_2017-11-08_final
2017-11-08 10:05:58	ga_ls7e_ard_3-0-0_098068_2017-11-08_final
2017-11-08 11:44:27	ga_ls7e_ard_3-0-0_114067_2017-11-08_final
2017-11-10 09:53:12	ga_ls7e_ard_3-0-0_096067_2017-11-10_final
2017-11-10 11:32:05	ga_ls7e_ard_3-0-0_112067_2017-11-10_final
2017-11-12 09:40:50	ga_ls7e_ard_3-1-0_094067_2017-11-12_final
2017-12-26 10:05:12	ga_ls7e_ard_3-0-0_098067_2017-12-26_final
2017-12-26 10:05:35	ga_ls7e_ard_3-0-0_098068_2017-12-26_final
2017-12-27 10:48:50	ga_ls7e_ard_3-0-0_105068_2017-12-27_final
2017-12-28 09:52:48	ga_ls7e_ard_3-0-0_096067_2017-12-28_final
2017-12-28 11:31:41	ga_ls7e_ard_3-0-0_112067_2017-12-28_final
2018-04-01 10:03:55	ga_ls7e_ard_3-0-0_098067_2018-04-01_final
2018-04-01 11:42:48	ga_ls7e_ard_3-0-0_114067_2018-04-01_final
2018-04-03 09:51:32	ga_ls7e_ard_3-0-0_096067_2018-04-03_final
2018-04-08 10:09:59	ga_ls7e_ard_3-0-0_099067_2018-04-08_final
2018-04-08 10:10:23	ga_ls7e_ard_3-0-0_099068_2018-04-08_final
2018-04-10 11:36:29	ga_ls7e_ard_3-0-0_113067_2018-04-10_final
2018-04-12 11:24:05	ga_ls7e_ard_3-0-0_111067_2018-04-12_final
2018-04-13 10:28:51	ga_ls7e_ard_3-0-0_102068_2018-04-13_final
2018-06-08 09:38:04	ga_ls7e_ard_3-1-0_094067_2018-06-08_final
2018-06-08 11:16:57	ga_ls7e_ard_3-0-0_110067_2018-06-08_final
2018-06-11 10:08:55	ga_ls7e_ard_3-0-0_099067_2018-06-11_final
2018-06-11 10:09:19	ga_ls7e_ard_3-0-0_099068_2018-06-11_final
2018-06-12 10:52:33	ga_ls7e_ard_3-0-0_106068_2018-06-12_final
2018-06-13 11:35:24	ga_ls7e_ard_3-0-0_113067_2018-06-13_final
2018-07-01 09:43:48	ga_ls7e_ard_3-0-0_095067_2018-07-01_final
2018-07-01 11:22:41	ga_ls7e_ard_3-0-0_111067_2018-07-01_final
2018-07-22 10:01:58	ga_ls7e_ard_3-0-0_098067_2018-07-22_final
2018-07-22 10:02:21	ga_ls7e_ard_3-0-0_098068_2018-07-22_final
2018-07-22 11:40:51	ga_ls7e_ard_3-0-0_114067_2018-07-22_final
2018-07-24 09:49:34	ga_ls7e_ard_3-0-0_096067_2018-07-24_final
2018-07-24 11:28:27	ga_ls7e_ard_3-0-0_112067_2018-07-24_final
2018-07-26 09:37:10	ga_ls7e_ard_3-1-0_094067_2018-07-26_final
2018-08-18 11:21:48	ga_ls7e_ard_3-0-0_111067_2018-08-18_final
2018-08-18 11:22:12	ga_ls7e_ard_3-0-0_111068_2018-08-18_final
2018-08-30 10:07:24	ga_ls7e_ard_3-0-0_099067_2018-08-30_final
2018-09-01 11:33:53	ga_ls7e_ard_3-0-0_113067_2018-09-01_final
2018-09-08 10:01:02	ga_ls7e_ard_3-0-0_098067_2018-09-08_final
2018-09-08 10:01:26	ga_ls7e_ard_3-0-0_098068_2018-09-08_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