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
2002-03-27 09:58:44	ga_ls7e_ard_3-0-0_099069_2002-03-27_final
2002-03-27 09:59:08	ga_ls7e_ard_3-0-0_099070_2002-03-27_final
2002-03-28 10:42:00	ga_ls7e_ard_3-0-0_106069_2002-03-28_final
2002-03-28 10:42:24	ga_ls7e_ard_3-0-0_106070_2002-03-28_final
2002-03-29 09:46:22	ga_ls7e_ard_3-0-0_097069_2002-03-29_final
2002-03-29 09:46:46	ga_ls7e_ard_3-0-0_097070_2002-03-29_final
2002-03-30 10:29:37	ga_ls7e_ard_3-0-0_104069_2002-03-30_final
2002-03-30 10:30:01	ga_ls7e_ard_3-1-0_104070_2002-03-30_final
2002-04-01 10:17:14	ga_ls7e_ard_3-0-0_102069_2002-04-01_final
2002-04-01 10:17:38	ga_ls7e_ard_3-0-0_102070_2002-04-01_final
2002-04-02 11:00:53	ga_ls7e_ard_3-0-0_109070_2002-04-02_final
2002-05-06 10:48:37	ga_ls7e_ard_3-0-0_107070_2002-05-06_final
2002-05-07 09:52:35	ga_ls7e_ard_3-0-0_098069_2002-05-07_final
2002-05-07 09:52:59	ga_ls7e_ard_3-0-0_098070_2002-05-07_final
2002-05-08 10:35:50	ga_ls7e_ard_3-0-0_105069_2002-05-08_final
2002-05-08 10:36:14	ga_ls7e_ard_3-0-0_105070_2002-05-08_final
2002-05-09 09:40:36	ga_ls7e_ard_3-0-0_096070_2002-05-09_final
2002-05-27 11:06:57	ga_ls7e_ard_3-0-0_110070_2002-05-27_final
2002-05-29 10:54:10	ga_ls7e_ard_3-0-0_108069_2002-05-29_final
2002-05-29 10:54:34	ga_ls7e_ard_3-0-0_108070_2002-05-29_final
2002-05-30 09:58:33	ga_ls7e_ard_3-0-0_099069_2002-05-30_final
2002-05-30 09:58:56	ga_ls7e_ard_3-0-0_099070_2002-05-30_final
2002-07-12 09:40:10	ga_ls7e_ard_3-0-0_096070_2002-07-12_final
2002-07-13 10:23:02	ga_ls7e_ard_3-0-0_103069_2002-07-13_final
2002-07-13 10:23:26	ga_ls7e_ard_3-0-0_103070_2002-07-13_final
2002-07-14 11:06:41	ga_ls7e_ard_3-0-0_110070_2002-07-14_final
2002-07-16 10:53:54	ga_ls7e_ard_3-0-0_108069_2002-07-16_final
2002-07-16 10:54:18	ga_ls7e_ard_3-0-0_108070_2002-07-16_final
2002-08-19 10:41:20	ga_ls7e_ard_3-0-0_106069_2002-08-19_final
2002-08-19 10:41:44	ga_ls7e_ard_3-0-0_106070_2002-08-19_final
2002-08-20 09:46:06	ga_ls7e_ard_3-0-0_097070_2002-08-20_final
2002-08-21 10:28:57	ga_ls7e_ard_3-0-0_104069_2002-08-21_final
2002-08-21 10:29:21	ga_ls7e_ard_3-1-0_104070_2002-08-21_final
2002-08-23 10:16:33	ga_ls7e_ard_3-0-0_102069_2002-08-23_final
2002-08-23 10:16:57	ga_ls7e_ard_3-0-0_102070_2002-08-23_final
2002-12-29 10:16:49	ga_ls7e_ard_3-0-0_102069_2002-12-29_final
2002-12-29 10:17:13	ga_ls7e_ard_3-0-0_102070_2002-12-29_final
2008-07-10 09:53:12	ga_ls7e_ard_3-0-0_098069_2008-07-10_final
2008-07-11 10:36:27	ga_ls7e_ard_3-0-0_105069_2008-07-11_final
2008-07-11 10:36:51	ga_ls7e_ard_3-0-0_105070_2008-07-11_final
2008-07-13 10:24:04	ga_ls7e_ard_3-0-0_103069_2008-07-13_final
2008-07-14 11:07:43	ga_ls7e_ard_3-0-0_110070_2008-07-14_final
2008-10-15 10:35:41	ga_ls7e_ard_3-0-0_105069_2008-10-15_final
2008-10-15 10:36:05	ga_ls7e_ard_3-0-0_105070_2008-10-15_final
2008-10-17 10:23:21	ga_ls7e_ard_3-0-0_103069_2008-10-17_final
2008-10-17 10:23:45	ga_ls7e_ard_3-0-0_103070_2008-10-17_final
2008-10-18 11:07:02	ga_ls7e_ard_3-0-0_110070_2008-10-18_final
2008-11-14 10:48:54	ga_ls7e_ard_3-0-0_107070_2008-11-14_final
2008-11-15 09:52:54	ga_ls7e_ard_3-0-0_098069_2008-11-15_final
2008-11-15 09:53:18	ga_ls7e_ard_3-0-0_098070_2008-11-15_final
2018-06-26 11:05:03	ga_ls7e_ard_3-0-0_108069_2018-06-26_final
2018-06-26 11:05:27	ga_ls7e_ard_3-0-0_108070_2018-06-26_final
2018-06-27 10:09:24	ga_ls7e_ard_3-0-0_099069_2018-06-27_final
2018-06-27 10:09:48	ga_ls7e_ard_3-0-0_099070_2018-06-27_final
2018-09-10 09:49:49	ga_ls7e_ard_3-0-0_096070_2018-09-10_final
2018-09-11 10:32:40	ga_ls7e_ard_3-0-0_103069_2018-09-11_final
2018-09-11 10:33:04	ga_ls7e_ard_3-0-0_103070_2018-09-11_final
2018-09-12 11:16:18	ga_ls7e_ard_3-0-0_110070_2018-09-12_final
2018-09-14 11:03:30	ga_ls7e_ard_3-0-0_108069_2018-09-14_final
2018-09-15 10:07:51	ga_ls7e_ard_3-0-0_099069_2018-09-15_final
2018-09-15 10:08:15	ga_ls7e_ard_3-0-0_099070_2018-09-15_final
2018-09-16 10:51:05	ga_ls7e_ard_3-0-0_106069_2018-09-16_final
2018-09-17 09:55:27	ga_ls7e_ard_3-0-0_097069_2018-09-17_final
2018-09-17 09:55:51	ga_ls7e_ard_3-0-0_097070_2018-09-17_final
2018-09-18 10:38:41	ga_ls7e_ard_3-0-0_104069_2018-09-18_final
2018-09-18 10:39:05	ga_ls7e_ard_3-1-0_104070_2018-09-18_final
2018-11-07 10:25:10	ga_ls7e_ard_3-0-0_102069_2018-11-07_final
2018-11-07 10:25:34	ga_ls7e_ard_3-0-0_102070_2018-11-07_final
2018-11-08 11:08:48	ga_ls7e_ard_3-0-0_109070_2018-11-08_final
2018-11-10 10:56:24	ga_ls7e_ard_3-0-0_107070_2018-11-10_final
2018-11-20 09:54:21	ga_ls7e_ard_3-0-0_097070_2018-11-20_final
2018-11-21 10:37:12	ga_ls7e_ard_3-0-0_104069_2018-11-21_final
2018-11-23 10:24:47	ga_ls7e_ard_3-0-0_102069_2018-11-23_final
2018-11-23 10:25:11	ga_ls7e_ard_3-0-0_102070_2018-11-23_final
2018-11-24 11:08:25	ga_ls7e_ard_3-0-0_109070_2018-11-24_final
2019-04-12 10:45:11	ga_ls7e_ard_3-0-0_106069_2019-04-12_final
2019-04-12 10:45:35	ga_ls7e_ard_3-0-0_106070_2019-04-12_final
2019-04-13 09:49:55	ga_ls7e_ard_3-0-0_097070_2019-04-13_final
2019-04-14 10:32:45	ga_ls7e_ard_3-0-0_104069_2019-04-14_final
2019-04-14 10:33:09	ga_ls7e_ard_3-1-0_104070_2019-04-14_final
2019-04-16 10:20:19	ga_ls7e_ard_3-0-0_102069_2019-04-16_final
2019-04-16 10:20:43	ga_ls7e_ard_3-0-0_102070_2019-04-16_final
2019-04-28 10:44:35	ga_ls7e_ard_3-0-0_106069_2019-04-28_final
2019-04-30 10:32:09	ga_ls7e_ard_3-0-0_104069_2019-04-30_final
2019-04-30 10:32:33	ga_ls7e_ard_3-1-0_104070_2019-04-30_final
2019-05-25 10:25:01	ga_ls7e_ard_3-0-0_103069_2019-05-25_final
2019-05-25 10:25:25	ga_ls7e_ard_3-0-0_103070_2019-05-25_final
2019-05-28 10:55:49	ga_ls7e_ard_3-0-0_108069_2019-05-28_final
2019-05-29 10:00:09	ga_ls7e_ard_3-0-0_099069_2019-05-29_final
2019-07-12 10:23:15	ga_ls7e_ard_3-0-0_103069_2019-07-12_final
2019-07-15 10:54:02	ga_ls7e_ard_3-0-0_108069_2019-07-15_final
2019-07-15 10:54:26	ga_ls7e_ard_3-0-0_108070_2019-07-15_final
2019-07-16 09:58:22	ga_ls7e_ard_3-0-0_099069_2019-07-16_final
2019-07-17 10:41:35	ga_ls7e_ard_3-0-0_106069_2019-07-17_final
2019-07-18 09:45:56	ga_ls7e_ard_3-0-0_097069_2019-07-18_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
2019-10-09 10:13:20	ga_ls7e_ard_3-1-0_102069_2019-10-09_final
2019-10-10 10:56:57	ga_ls7e_ard_3-1-0_109070_2019-10-10_final
2019-10-13 09:48:27	ga_ls7e_ard_3-1-0_098069_2019-10-13_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