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
2004-08-03 10:23:27	ga_ls7e_ard_3-0-0_103069_2004-08-03_final
2004-08-06 10:54:21	ga_ls7e_ard_3-0-0_108069_2004-08-06_final
2004-08-06 10:54:45	ga_ls7e_ard_3-0-0_108070_2004-08-06_final
2004-08-08 10:41:59	ga_ls7e_ard_3-0-0_106069_2004-08-08_final
2004-08-08 10:42:23	ga_ls7e_ard_3-0-0_106070_2004-08-08_final
2004-08-10 10:29:38	ga_ls7e_ard_3-0-0_104069_2004-08-10_final
2004-08-12 10:17:16	ga_ls7e_ard_3-0-0_102069_2004-08-12_final
2004-08-12 10:17:40	ga_ls7e_ard_3-0-0_102070_2004-08-12_final
2004-09-27 10:29:25	ga_ls7e_ard_3-0-0_104069_2004-09-27_final
2004-09-27 10:29:49	ga_ls7e_ard_3-1-0_104070_2004-09-27_final
2004-09-29 10:17:03	ga_ls7e_ard_3-0-0_102069_2004-09-29_final
2004-09-29 10:17:27	ga_ls7e_ard_3-0-0_102070_2004-09-29_final
2004-10-02 10:48:20	ga_ls7e_ard_3-0-0_107070_2004-10-02_final
2004-10-26 09:58:43	ga_ls7e_ard_3-0-0_099069_2004-10-26_final
2004-10-26 09:59:07	ga_ls7e_ard_3-0-0_099070_2004-10-26_final
2004-10-27 10:41:59	ga_ls7e_ard_3-0-0_106069_2004-10-27_final
2004-10-28 09:46:23	ga_ls7e_ard_3-0-0_097069_2004-10-28_final
2012-12-28 09:59:54	ga_ls7e_ard_3-0-0_098069_2012-12-28_final
2012-12-29 10:43:10	ga_ls7e_ard_3-0-0_105069_2012-12-29_final
2013-01-04 10:06:06	ga_ls7e_ard_3-0-0_099069_2013-01-04_final
2013-01-05 10:49:21	ga_ls7e_ard_3-0-0_106069_2013-01-05_final
2013-01-07 10:36:59	ga_ls7e_ard_3-0-0_104069_2013-01-07_final
2013-01-09 10:24:38	ga_ls7e_ard_3-0-0_102069_2013-01-09_final
2013-01-13 09:59:53	ga_ls7e_ard_3-0-0_098069_2013-01-13_final
2013-02-06 10:49:24	ga_ls7e_ard_3-0-0_106069_2013-02-06_final
2013-02-07 09:53:47	ga_ls7e_ard_3-0-0_097069_2013-02-07_final
2013-02-08 10:37:03	ga_ls7e_ard_3-0-0_104069_2013-02-08_final
2013-02-10 10:24:41	ga_ls7e_ard_3-0-0_102069_2013-02-10_final
2013-02-14 09:59:57	ga_ls7e_ard_3-0-0_098069_2013-02-14_final
2013-04-03 09:59:48	ga_ls7e_ard_3-0-0_098069_2013-04-03_final
2013-04-19 09:59:42	ga_ls7e_ard_3-0-0_098069_2013-04-19_final
2013-04-20 10:42:57	ga_ls7e_ard_3-0-0_105069_2013-04-20_final
2013-04-22 10:30:34	ga_ls7e_ard_3-0-0_103069_2013-04-22_final
2013-04-26 10:05:50	ga_ls7e_ard_3-0-0_099069_2013-04-26_final
2013-04-27 10:49:06	ga_ls7e_ard_3-0-0_106069_2013-04-27_final
2013-04-28 09:53:29	ga_ls7e_ard_3-0-0_097069_2013-04-28_final
2013-05-24 10:30:29	ga_ls7e_ard_3-0-0_103069_2013-05-24_final
2013-06-07 10:42:42	ga_ls7e_ard_3-0-0_105069_2013-06-07_final
2013-06-09 10:30:20	ga_ls7e_ard_3-0-0_103069_2013-06-09_final
2013-06-12 11:01:13	ga_ls7e_ard_3-0-0_108069_2013-06-12_final
2013-06-13 10:05:36	ga_ls7e_ard_3-0-0_099069_2013-06-13_final
2018-09-20 10:26:17	ga_ls7e_ard_3-0-0_102069_2018-09-20_final
2018-10-06 10:25:54	ga_ls7e_ard_3-0-0_102069_2018-10-06_final
2018-10-10 10:01:04	ga_ls7e_ard_3-0-0_098069_2018-10-10_final
2018-10-17 10:07:04	ga_ls7e_ard_3-0-0_099069_2018-10-17_final
2018-10-18 10:50:19	ga_ls7e_ard_3-0-0_106069_2018-10-18_final
2018-10-19 09:54:40	ga_ls7e_ard_3-0-0_097069_2018-10-19_final
2018-10-20 10:37:55	ga_ls7e_ard_3-0-0_104069_2018-10-20_final
2018-11-01 11:02:23	ga_ls7e_ard_3-0-0_108069_2018-11-01_final
2018-11-02 10:06:44	ga_ls7e_ard_3-0-0_099069_2018-11-02_final
2018-11-11 10:00:21	ga_ls7e_ard_3-0-0_098069_2018-11-11_final
2018-11-12 10:43:36	ga_ls7e_ard_3-0-0_105069_2018-11-12_final
2018-12-20 10:05:31	ga_ls7e_ard_3-0-0_099069_2018-12-20_final
2018-12-21 10:48:45	ga_ls7e_ard_3-0-0_106069_2018-12-21_final
2019-01-08 10:35:51	ga_ls7e_ard_3-0-0_104069_2019-01-08_final
2019-01-10 10:23:25	ga_ls7e_ard_3-0-0_102069_2019-01-10_final
2019-01-14 09:58:34	ga_ls7e_ard_3-0-0_098069_2019-01-14_final
2019-01-15 10:41:48	ga_ls7e_ard_3-0-0_105069_2019-01-15_final
2019-02-02 10:28:52	ga_ls7e_ard_3-0-0_103069_2019-02-02_final
2019-04-16 10:20:19	ga_ls7e_ard_3-0-0_102069_2019-04-16_final
2019-05-16 10:31:32	ga_ls7e_ard_3-0-0_104069_2019-05-16_final
2019-05-18 10:19:06	ga_ls7e_ard_3-0-0_102069_2019-05-18_final
2019-05-22 09:54:13	ga_ls7e_ard_3-0-0_098069_2019-05-22_final
2019-05-23 10:37:26	ga_ls7e_ard_3-0-0_105069_2019-05-23_final
2019-06-10 10:24:27	ga_ls7e_ard_3-0-0_103069_2019-06-10_final
2019-06-13 10:55:14	ga_ls7e_ard_3-0-0_108069_2019-06-13_final
2019-06-24 10:36:18	ga_ls7e_ard_3-0-0_105069_2019-06-24_final
2019-06-26 10:23:52	ga_ls7e_ard_3-0-0_103069_2019-06-26_final
2019-06-29 10:54:39	ga_ls7e_ard_3-0-0_108069_2019-06-29_final
2019-06-30 09:58:59	ga_ls7e_ard_3-0-0_099069_2019-06-30_final
2019-07-01 10:42:13	ga_ls7e_ard_3-0-0_106069_2019-07-01_final
2019-07-02 09:46:33	ga_ls7e_ard_3-0-0_097069_2019-07-02_final
2019-07-03 10:29:46	ga_ls7e_ard_3-0-0_104069_2019-07-03_final
2019-07-05 10:17:20	ga_ls7e_ard_3-0-0_102069_2019-07-05_final
2019-07-09 09:52:28	ga_ls7e_ard_3-0-0_098069_2019-07-09_final
2019-07-10 10:35:41	ga_ls7e_ard_3-0-0_105069_2019-07-10_final
2019-07-19 10:29:09	ga_ls7e_ard_3-0-0_104069_2019-07-19_final
2019-07-21 10:16:43	ga_ls7e_ard_3-0-0_102069_2019-07-21_final
2019-08-04 10:28:30	ga_ls7e_ard_3-0-0_104069_2019-08-04_final
2019-08-06 10:16:04	ga_ls7e_ard_3-0-0_102069_2019-08-06_final
2019-08-22 10:15:24	ga_ls7e_ard_3-0-0_102069_2019-08-22_final
2019-08-26 09:50:30	ga_ls7e_ard_3-1-0_098069_2019-08-26_final
2019-08-27 10:33:43	ga_ls7e_ard_3-1-0_105069_2019-08-27_final
2019-08-29 10:21:17	ga_ls7e_ard_3-1-0_103069_2019-08-29_final
2019-09-01 10:52:03	ga_ls7e_ard_3-1-0_108069_2019-09-01_final
2019-09-11 09:49:49	ga_ls7e_ard_3-1-0_098069_2019-09-11_final
2019-09-12 10:33:01	ga_ls7e_ard_3-1-0_105069_2019-09-12_final
2019-11-17 10:17:47	ga_ls7e_ard_3-1-0_103069_2019-11-17_final
2019-11-24 10:23:38	ga_ls7e_ard_3-1-0_104069_2019-11-24_final
2019-11-26 10:11:11	ga_ls7e_ard_3-1-0_102069_2019-11-26_final
2019-11-30 09:46:16	ga_ls7e_ard_3-1-0_098069_2019-11-30_final
2019-12-01 10:29:29	ga_ls7e_ard_3-1-0_105069_2019-12-01_final
2019-12-06 10:47:47	ga_ls7e_ard_3-1-0_108069_2019-12-06_final
2019-12-07 09:52:06	ga_ls7e_ard_3-1-0_099069_2019-12-07_final
2019-12-08 10:35:19	ga_ls7e_ard_3-1-0_106069_2019-12-08_final
2020-01-01 09:44:39	ga_ls7e_ard_3-1-0_098069_2020-01-01_final
2020-01-04 10:15:23	ga_ls7e_ard_3-1-0_103069_2020-01-04_final
2020-01-08 09:50:27	ga_ls7e_ard_3-1-0_099069_2020-01-08_final
2020-01-17 09:43:50	ga_ls7e_ard_3-1-0_098069_2020-01-17_final
2020-02-05 10:13:47	ga_ls7e_ard_3-1-0_103069_2020-02-05_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