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
2007-09-22 10:18:15	ga_ls7e_ard_3-0-0_102069_2007-09-22_final
2007-11-03 10:55:33	ga_ls7e_ard_3-0-0_108069_2007-11-03_final
2007-11-03 10:55:57	ga_ls7e_ard_3-0-0_108070_2007-11-03_final
2007-11-04 09:59:56	ga_ls7e_ard_3-0-0_099069_2007-11-04_final
2007-11-04 10:00:20	ga_ls7e_ard_3-0-0_099070_2007-11-04_final
2007-11-05 10:43:13	ga_ls7e_ard_3-0-0_106069_2007-11-05_final
2007-11-05 10:43:37	ga_ls7e_ard_3-0-0_106070_2007-11-05_final
2007-11-06 09:47:36	ga_ls7e_ard_3-0-0_097069_2007-11-06_final
2007-11-07 10:30:52	ga_ls7e_ard_3-0-0_104069_2007-11-07_final
2007-11-07 10:31:16	ga_ls7e_ard_3-1-0_104070_2007-11-07_final
2007-11-09 10:18:32	ga_ls7e_ard_3-0-0_102069_2007-11-09_final
2007-11-14 10:37:07	ga_ls7e_ard_3-0-0_105069_2007-11-14_final
2007-11-14 10:37:31	ga_ls7e_ard_3-0-0_105070_2007-11-14_final
2007-11-16 10:24:46	ga_ls7e_ard_3-0-0_103069_2007-11-16_final
2007-11-16 10:25:10	ga_ls7e_ard_3-0-0_103070_2007-11-16_final
2007-11-19 10:55:42	ga_ls7e_ard_3-0-0_108069_2007-11-19_final
2007-11-20 10:00:05	ga_ls7e_ard_3-0-0_099069_2007-11-20_final
2007-11-20 10:00:29	ga_ls7e_ard_3-0-0_099070_2007-11-20_final
2008-04-02 11:02:16	ga_ls7e_ard_3-0-0_109070_2008-04-02_final
2008-04-05 09:53:53	ga_ls7e_ard_3-0-0_098069_2008-04-05_final
2008-04-28 10:00:01	ga_ls7e_ard_3-0-0_099069_2008-04-28_final
2008-04-29 10:43:16	ga_ls7e_ard_3-0-0_106069_2008-04-29_final
2008-04-30 09:47:38	ga_ls7e_ard_3-0-0_097069_2008-04-30_final
2008-05-01 10:30:54	ga_ls7e_ard_3-0-0_104069_2008-05-01_final
2008-05-26 10:24:34	ga_ls7e_ard_3-0-0_103069_2008-05-26_final
2008-05-26 10:24:58	ga_ls7e_ard_3-0-0_103070_2008-05-26_final
2008-05-27 11:08:13	ga_ls7e_ard_3-0-0_110070_2008-05-27_final
2008-06-09 10:36:48	ga_ls7e_ard_3-0-0_105069_2008-06-09_final
2008-06-14 10:55:18	ga_ls7e_ard_3-0-0_108069_2008-06-14_final
2008-06-14 10:55:42	ga_ls7e_ard_3-0-0_108070_2008-06-14_final
2008-09-06 10:29:49	ga_ls7e_ard_3-0-0_104069_2008-09-06_final
2008-09-08 10:17:26	ga_ls7e_ard_3-0-0_102069_2008-09-08_final
2008-10-26 10:17:19	ga_ls7e_ard_3-0-0_102069_2008-10-26_final
2008-10-26 10:17:43	ga_ls7e_ard_3-0-0_102070_2008-10-26_final
2008-10-27 11:01:00	ga_ls7e_ard_3-0-0_109070_2008-10-27_final
2008-12-01 09:53:06	ga_ls7e_ard_3-0-0_098069_2008-12-01_final
2008-12-01 09:53:30	ga_ls7e_ard_3-0-0_098070_2008-12-01_final
2020-12-05 09:55:07	ga_ls7e_ard_3-1-0_103069_2020-12-05_final
2020-12-18 09:23:14	ga_ls7e_ard_3-1-0_098069_2020-12-17_final
2020-12-27 09:16:24	ga_ls7e_ard_3-1-0_097069_2020-12-26_final
2020-12-28 09:59:35	ga_ls7e_ard_3-1-0_104069_2020-12-28_final
2020-12-30 09:47:06	ga_ls7e_ard_3-1-0_102069_2020-12-30_final
2021-01-03 09:22:06	ga_ls7e_ard_3-1-0_098069_2021-01-02_final
2021-01-04 10:05:17	ga_ls7e_ard_3-1-0_105069_2021-01-04_final
2021-01-06 09:52:47	ga_ls7e_ard_3-1-0_103069_2021-01-06_final
2021-01-09 10:23:29	ga_ls7e_ard_3-1-0_108069_2021-01-09_final
2021-01-10 09:27:47	ga_ls7e_ard_3-1-0_099069_2021-01-09_final
2021-01-13 09:58:29	ga_ls7e_ard_3-1-0_104069_2021-01-13_final
2021-01-15 09:45:59	ga_ls7e_ard_3-1-0_102069_2021-01-15_final
2021-01-19 09:20:58	ga_ls7e_ard_3-1-0_098069_2021-01-18_final
2021-01-20 10:04:09	ga_ls7e_ard_3-2-0_105069_2021-01-20_final
2021-01-22 09:51:39	ga_ls7e_ard_3-2-0_103069_2021-01-22_final
2021-02-04 09:19:48	ga_ls7e_ard_3-2-0_098069_2021-02-03_final
2021-02-11 09:25:28	ga_ls7e_ard_3-2-0_099069_2021-02-10_final
2021-02-12 10:08:39	ga_ls7e_ard_3-2-0_106069_2021-02-12_final
2021-02-13 09:12:57	ga_ls7e_ard_3-2-0_097069_2021-02-12_final
2021-02-16 09:43:38	ga_ls7e_ard_3-2-0_102069_2021-02-16_final
2021-02-20 09:18:36	ga_ls7e_ard_3-2-0_098069_2021-02-19_final
2021-02-26 10:19:57	ga_ls7e_ard_3-2-0_108069_2021-02-26_final
2021-02-27 09:24:15	ga_ls7e_ard_3-2-0_099069_2021-02-26_final
2021-02-28 10:07:26	ga_ls7e_ard_3-2-0_106069_2021-02-28_final
2021-03-02 09:54:55	ga_ls7e_ard_3-2-0_104069_2021-03-02_final
2021-03-15 09:23:00	ga_ls7e_ard_3-2-0_099069_2021-03-14_final
2021-03-18 09:53:39	ga_ls7e_ard_3-2-0_104069_2021-03-18_final
2021-03-24 09:16:06	ga_ls7e_ard_3-2-0_098069_2021-03-23_final
2021-03-25 09:59:16	ga_ls7e_ard_3-2-0_105069_2021-03-25_final
2021-03-27 09:46:45	ga_ls7e_ard_3-2-0_103069_2021-03-27_final
2021-03-31 09:21:42	ga_ls7e_ard_3-2-0_099069_2021-03-30_final
2021-04-01 10:04:53	ga_ls7e_ard_3-2-0_106069_2021-04-01_final
2021-04-03 09:52:21	ga_ls7e_ard_3-2-0_104069_2021-04-03_final
2021-04-09 09:14:47	ga_ls7e_ard_3-2-0_098069_2021-04-08_final
2021-04-10 09:57:57	ga_ls7e_ard_3-2-0_105069_2021-04-10_final
2021-04-12 09:45:26	ga_ls7e_ard_3-2-0_103069_2021-04-12_final
2022-02-19 09:11:01	ga_ls7e_ard_3-2-1_102069_2022-02-18_final
2022-02-20 09:54:11	ga_ls7e_ard_3-2-1_109069_2022-02-20_final
2022-02-23 08:45:55	ga_ls7e_ard_3-2-1_098069_2022-02-22_final
2022-02-26 09:16:32	ga_ls7e_ard_3-2-1_103069_2022-02-25_final
2022-03-02 08:51:25	ga_ls7e_ard_3-2-1_099069_2022-03-01_final
2022-03-03 09:34:35	ga_ls7e_ard_3-2-1_106069_2022-03-03_final
2022-03-04 08:38:52	ga_ls7e_ard_3-2-1_097069_2022-03-03_final
2022-03-05 09:22:02	ga_ls7e_ard_3-2-1_104069_2022-03-04_final
2022-03-06 10:05:11	ga_ls7e_ard_3-2-1_111069_2022-03-06_final
2022-03-07 09:09:28	ga_ls7e_ard_3-2-1_102069_2022-03-06_final
2022-03-11 08:44:21	ga_ls7e_ard_3-2-1_098069_2022-03-10_final
2022-03-12 09:27:31	ga_ls7e_ard_3-2-1_105069_2022-03-11_final
2022-03-14 09:14:57	ga_ls7e_ard_3-2-1_103069_2022-03-13_final
2022-03-18 08:49:49	ga_ls7e_ard_3-2-1_099069_2022-03-17_final
2022-03-19 09:32:59	ga_ls7e_ard_3-2-1_106069_2022-03-19_final
2022-03-20 08:37:16	ga_ls7e_ard_3-2-1_097069_2022-03-19_final
2022-03-21 09:20:26	ga_ls7e_ard_3-2-1_104069_2022-03-20_final
2022-03-22 10:03:36	ga_ls7e_ard_3-2-1_111069_2022-03-22_final
2022-03-23 09:07:54	ga_ls7e_ard_3-2-1_102069_2022-03-22_final
2022-03-24 09:51:03	ga_ls7e_ard_3-2-1_109069_2022-03-24_final
2022-03-27 08:42:48	ga_ls7e_ard_3-2-1_098069_2022-03-26_final
2022-03-28 09:25:58	ga_ls7e_ard_3-2-1_105069_2022-03-27_final
2022-03-30 09:13:25	ga_ls7e_ard_3-2-1_103069_2022-03-29_final
2022-04-02 09:44:01	ga_ls7e_ard_3-2-1_108069_2022-04-02_final
2022-04-03 08:48:18	ga_ls7e_ard_3-2-1_099069_2022-04-02_final
2022-04-04 09:31:27	ga_ls7e_ard_3-2-1_106069_2022-04-04_final
2022-04-05 08:35:44	ga_ls7e_ard_3-2-1_097069_2022-04-04_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