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
2007-09-17 09:58:56	ga_ls7e_ard_3-0-0_099067_2007-09-17_final
2007-09-19 11:25:27	ga_ls7e_ard_3-0-0_113067_2007-09-19_final
2007-12-15 09:53:15	ga_ls7e_ard_3-0-0_098067_2007-12-15_final
2007-12-15 11:32:08	ga_ls7e_ard_3-0-0_114067_2007-12-15_final
2008-01-20 11:07:28	ga_ls7e_ard_3-0-0_110067_2008-01-20_final
2008-02-17 11:32:06	ga_ls7e_ard_3-0-0_114067_2008-02-17_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
2011-11-10 11:22:59	ga_ls7e_ard_3-0-0_112067_2011-11-10_final
2011-11-12 09:31:46	ga_ls7e_ard_3-1-0_094067_2011-11-12_final
2011-11-12 11:10:39	ga_ls7e_ard_3-0-0_110067_2011-11-12_final
2011-11-15 10:02:41	ga_ls7e_ard_3-0-0_099067_2011-11-15_final
2011-12-10 09:56:43	ga_ls7e_ard_3-0-0_098067_2011-12-10_final
2012-03-05 09:19:58	ga_ls7e_ard_3-0-0_092067_2012-03-04_final
2012-03-06 10:03:13	ga_ls7e_ard_3-0-0_099067_2012-03-06_final
2015-06-25 09:31:39	ga_ls7e_ard_3-0-0_093067_2015-06-25_final
2015-07-05 10:08:48	ga_ls7e_ard_3-0-0_099067_2015-07-05_final
2015-07-07 11:35:21	ga_ls7e_ard_3-0-0_113067_2015-07-07_final
2015-08-06 10:08:56	ga_ls7e_ard_3-0-0_099067_2015-08-06_final
2015-08-08 11:35:28	ga_ls7e_ard_3-0-0_113067_2015-08-08_final
2015-08-10 09:44:14	ga_ls7e_ard_3-0-0_095067_2015-08-10_final
2015-08-10 11:23:07	ga_ls7e_ard_3-0-0_111067_2015-08-10_final
2015-08-12 09:31:53	ga_ls7e_ard_3-0-0_093067_2015-08-12_final
2015-08-19 11:16:58	ga_ls7e_ard_3-0-0_110067_2015-08-19_final
2015-08-22 10:08:59	ga_ls7e_ard_3-0-0_099067_2015-08-22_final
2015-08-24 11:35:30	ga_ls7e_ard_3-0-0_113067_2015-08-24_final
2015-10-09 10:09:12	ga_ls7e_ard_3-0-0_099067_2015-10-09_final
2015-10-11 11:35:46	ga_ls7e_ard_3-0-0_113067_2015-10-11_final
2015-12-05 10:03:56	ga_ls7e_ard_3-0-0_098067_2015-12-05_final
2015-12-07 09:51:37	ga_ls7e_ard_3-0-0_096067_2015-12-07_final
2015-12-07 11:30:30	ga_ls7e_ard_3-0-0_112067_2015-12-07_final
2015-12-09 09:39:18	ga_ls7e_ard_3-1-0_094067_2015-12-09_final
2015-12-09 11:18:11	ga_ls7e_ard_3-0-0_110067_2015-12-09_final
2015-12-12 10:10:15	ga_ls7e_ard_3-0-0_099067_2015-12-12_final
2015-12-14 11:36:49	ga_ls7e_ard_3-0-0_113067_2015-12-14_final
2016-01-13 10:10:44	ga_ls7e_ard_3-0-0_099067_2016-01-13_final
2016-01-15 11:37:17	ga_ls7e_ard_3-0-0_113067_2016-01-15_final
2016-01-17 09:46:04	ga_ls7e_ard_3-0-0_095067_2016-01-17_final
2016-01-17 11:24:57	ga_ls7e_ard_3-0-0_111067_2016-01-17_final
2016-01-19 09:33:44	ga_ls7e_ard_3-0-0_093067_2016-01-19_final
2020-12-06 08:58:37	ga_ls7e_ard_3-1-0_094067_2020-12-05_final
2020-12-09 09:29:18	ga_ls7e_ard_3-1-0_099067_2020-12-08_final
2020-12-11 10:55:40	ga_ls7e_ard_3-1-0_113067_2020-12-11_final
2020-12-22 08:57:24	ga_ls7e_ard_3-1-0_094067_2020-12-21_final
2021-01-03 09:21:18	ga_ls7e_ard_3-1-0_098067_2021-01-02_final
2021-01-03 11:00:11	ga_ls7e_ard_3-1-0_114067_2021-01-03_final
2021-01-05 09:08:48	ga_ls7e_ard_3-1-0_096067_2021-01-04_final
2021-01-07 08:56:18	ga_ls7e_ard_3-1-0_094067_2021-01-06_final
2021-01-07 10:35:11	ga_ls7e_ard_3-1-0_110067_2021-01-07_final
2021-01-10 09:27:00	ga_ls7e_ard_3-1-0_099067_2021-01-09_final
2021-01-12 10:53:22	ga_ls7e_ard_3-1-0_113067_2021-01-12_final
2021-01-14 09:01:59	ga_ls7e_ard_3-1-0_095067_2021-01-13_final
2021-01-14 10:40:52	ga_ls7e_ard_3-1-0_111067_2021-01-14_final
2021-01-21 09:07:40	ga_ls7e_ard_3-2-0_096067_2021-01-20_final
2021-01-23 08:55:10	ga_ls7e_ard_3-2-0_094067_2021-01-22_final
2021-02-06 09:06:30	ga_ls7e_ard_3-2-0_096067_2021-02-05_final
2021-02-08 10:32:52	ga_ls7e_ard_3-2-0_110067_2021-02-08_final
2021-02-13 10:51:02	ga_ls7e_ard_3-2-0_113067_2021-02-13_final
2021-02-15 08:59:39	ga_ls7e_ard_3-2-0_095067_2021-02-14_final
2021-02-15 10:38:32	ga_ls7e_ard_3-2-0_111067_2021-02-15_final
2021-02-27 09:23:27	ga_ls7e_ard_3-2-0_099067_2021-02-26_final
2021-03-01 10:49:49	ga_ls7e_ard_3-2-0_113067_2021-03-01_final
2021-03-03 08:58:25	ga_ls7e_ard_3-2-0_095067_2021-03-02_final
2021-03-03 10:37:18	ga_ls7e_ard_3-2-0_111067_2021-03-03_final
2021-03-08 09:16:34	ga_ls7e_ard_3-2-0_098067_2021-03-07_final
2021-03-10 09:04:03	ga_ls7e_ard_3-2-0_096067_2021-03-09_final
2021-03-12 08:51:32	ga_ls7e_ard_3-2-0_094067_2021-03-11_final
2021-03-12 10:30:25	ga_ls7e_ard_3-2-0_110067_2021-03-12_final
2021-03-15 09:22:12	ga_ls7e_ard_3-2-0_099067_2021-03-14_final
2021-03-17 10:48:33	ga_ls7e_ard_3-2-0_113067_2021-03-17_final
2021-03-19 08:57:10	ga_ls7e_ard_3-2-0_095067_2021-03-18_final
2021-03-19 10:36:02	ga_ls7e_ard_3-2-0_111067_2021-03-19_final
2021-03-24 09:15:18	ga_ls7e_ard_3-2-0_098067_2021-03-23_final
2021-03-24 10:54:10	ga_ls7e_ard_3-2-0_114067_2021-03-24_final
2021-03-28 08:50:15	ga_ls7e_ard_3-2-0_094067_2021-03-27_final
2021-03-28 10:29:08	ga_ls7e_ard_3-2-0_110067_2021-03-28_final
2021-04-09 10:52:52	ga_ls7e_ard_3-2-0_114067_2021-04-09_final
2021-04-11 09:01:27	ga_ls7e_ard_3-2-0_096067_2021-04-10_final
2021-04-11 10:40:20	ga_ls7e_ard_3-2-0_112067_2021-04-11_final
2021-04-13 08:48:56	ga_ls7e_ard_3-2-0_094067_2021-04-12_final
2021-04-13 10:27:48	ga_ls7e_ard_3-2-0_110067_2021-04-13_final
2021-06-28 09:07:17	ga_ls7e_ard_3-2-0_098067_2021-06-27_final
2021-06-28 10:46:10	ga_ls7e_ard_3-2-0_114067_2021-06-28_final
2021-06-30 08:54:46	ga_ls7e_ard_3-2-0_096067_2021-06-29_final
2021-07-02 08:42:14	ga_ls7e_ard_3-2-0_094067_2021-07-01_final
2021-07-09 08:47:49	ga_ls7e_ard_3-2-0_095067_2021-07-08_final
2021-07-09 10:26:42	ga_ls7e_ard_3-2-0_111067_2021-07-09_final
2021-07-14 09:05:56	ga_ls7e_ard_3-2-0_098067_2021-07-13_final
2021-07-14 10:44:49	ga_ls7e_ard_3-2-0_114067_2021-07-14_final
2021-07-18 10:19:45	ga_ls7e_ard_3-2-0_110067_2021-07-18_final
2021-07-21 09:11:31	ga_ls7e_ard_3-2-0_099067_2021-07-20_final
2021-07-23 10:37:51	ga_ls7e_ard_3-2-0_113067_2021-07-23_final
2021-07-25 08:46:27	ga_ls7e_ard_3-2-0_095067_2021-07-24_final
2021-07-25 10:25:19	ga_ls7e_ard_3-2-0_111067_2021-07-25_final
2021-07-30 09:04:33	ga_ls7e_ard_3-2-0_098067_2021-07-29_final
2021-07-30 10:43:26	ga_ls7e_ard_3-2-0_114067_2021-07-30_final
2021-08-01 08:52:01	ga_ls7e_ard_3-2-0_096067_2021-07-31_final
2021-08-03 08:39:29	ga_ls7e_ard_3-2-0_094067_2021-08-02_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