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
2010-02-18 10:20:24	ga_ls7e_ard_3-0-0_102069_2010-02-18_final
2010-06-08 10:32:58	ga_ls7e_ard_3-0-0_104069_2010-06-08_final
2010-06-10 10:20:36	ga_ls7e_ard_3-0-0_102069_2010-06-10_final
2010-06-26 10:20:39	ga_ls7e_ard_3-0-0_102069_2010-06-26_final
2014-09-16 10:32:19	ga_ls7e_ard_3-0-0_103069_2014-09-16_final
2014-09-17 11:16:00	ga_ls7e_ard_3-0-0_110070_2014-09-17_final
2014-09-19 11:03:15	ga_ls7e_ard_3-0-0_108069_2014-09-19_final
2014-09-19 11:03:39	ga_ls7e_ard_3-0-0_108070_2014-09-19_final
2014-09-20 10:07:39	ga_ls7e_ard_3-0-0_099069_2014-09-20_final
2014-09-21 10:50:55	ga_ls7e_ard_3-0-0_106069_2014-09-21_final
2014-09-22 09:55:18	ga_ls7e_ard_3-0-0_097069_2014-09-22_final
2014-09-23 10:38:34	ga_ls7e_ard_3-0-0_104069_2014-09-23_final
2014-09-25 10:26:13	ga_ls7e_ard_3-0-0_102069_2014-09-25_final
2014-09-26 11:09:54	ga_ls7e_ard_3-0-0_109070_2014-09-26_final
2014-09-30 10:44:51	ga_ls7e_ard_3-0-0_105069_2014-09-30_final
2014-10-02 10:32:31	ga_ls7e_ard_3-0-0_103069_2014-10-02_final
2014-10-05 11:03:28	ga_ls7e_ard_3-0-0_108069_2014-10-05_final
2014-10-06 10:07:51	ga_ls7e_ard_3-0-0_099069_2014-10-06_final
2014-10-07 10:51:07	ga_ls7e_ard_3-0-0_106069_2014-10-07_final
2014-10-07 10:51:31	ga_ls7e_ard_3-0-0_106070_2014-10-07_final
2014-10-08 09:55:30	ga_ls7e_ard_3-0-0_097069_2014-10-08_final
2014-10-09 10:38:46	ga_ls7e_ard_3-0-0_104069_2014-10-09_final
2014-10-09 10:39:10	ga_ls7e_ard_3-1-0_104070_2014-10-09_final
2014-11-23 10:08:12	ga_ls7e_ard_3-0-0_099069_2014-11-23_final
2014-11-23 10:08:36	ga_ls7e_ard_3-0-0_099070_2014-11-23_final
2014-11-24 10:51:29	ga_ls7e_ard_3-0-0_106069_2014-11-24_final
2014-11-26 10:39:08	ga_ls7e_ard_3-0-0_104069_2014-11-26_final
2014-12-09 10:08:19	ga_ls7e_ard_3-0-0_099069_2014-12-09_final
2014-12-09 10:08:43	ga_ls7e_ard_3-0-0_099070_2014-12-09_final
2014-12-10 10:51:35	ga_ls7e_ard_3-0-0_106069_2014-12-10_final
2014-12-11 09:55:59	ga_ls7e_ard_3-0-0_097069_2014-12-11_final
2014-12-30 10:26:58	ga_ls7e_ard_3-0-0_102069_2014-12-30_final
2014-12-30 10:27:22	ga_ls7e_ard_3-0-0_102070_2014-12-30_final
2015-01-27 10:51:49	ga_ls7e_ard_3-0-0_106069_2015-01-27_final
2015-01-29 10:39:29	ga_ls7e_ard_3-0-0_104069_2015-01-29_final
2015-01-31 10:27:08	ga_ls7e_ard_3-0-0_102069_2015-01-31_final
2015-01-31 10:27:32	ga_ls7e_ard_3-0-0_102070_2015-01-31_final
2015-02-12 10:51:51	ga_ls7e_ard_3-0-0_106069_2015-02-12_final
2015-02-14 10:39:30	ga_ls7e_ard_3-0-0_104069_2015-02-14_final
2015-02-16 10:27:10	ga_ls7e_ard_3-0-0_102069_2015-02-16_final
2015-02-16 10:27:34	ga_ls7e_ard_3-0-0_102070_2015-02-16_final
2015-02-17 11:10:51	ga_ls7e_ard_3-0-0_109070_2015-02-17_final
2015-03-24 10:02:47	ga_ls7e_ard_3-0-0_098069_2015-03-24_final
2015-03-25 10:46:03	ga_ls7e_ard_3-0-0_105069_2015-03-25_final
2015-03-27 10:33:42	ga_ls7e_ard_3-0-0_103069_2015-03-27_final
2015-03-27 10:34:06	ga_ls7e_ard_3-0-0_103070_2015-03-27_final
2015-03-30 11:04:36	ga_ls7e_ard_3-0-0_108069_2015-03-30_final
2015-03-31 10:08:59	ga_ls7e_ard_3-0-0_099069_2015-03-31_final
2015-04-01 10:52:15	ga_ls7e_ard_3-0-0_106069_2015-04-01_final
2015-04-01 10:52:39	ga_ls7e_ard_3-0-0_106070_2015-04-01_final
2015-04-03 10:39:55	ga_ls7e_ard_3-0-0_104069_2015-04-03_final
2015-04-05 10:27:35	ga_ls7e_ard_3-0-0_102069_2015-04-05_final
2015-04-16 10:09:09	ga_ls7e_ard_3-0-0_099069_2015-04-16_final
2015-04-17 10:52:25	ga_ls7e_ard_3-0-0_106069_2015-04-17_final
2015-04-18 09:56:47	ga_ls7e_ard_3-0-0_097069_2015-04-18_final
2015-04-19 10:40:03	ga_ls7e_ard_3-0-0_104069_2015-04-19_final
2015-06-20 10:52:48	ga_ls7e_ard_3-0-0_106069_2015-06-20_final
2015-06-20 10:53:12	ga_ls7e_ard_3-0-0_106070_2015-06-20_final
2015-06-21 09:57:11	ga_ls7e_ard_3-0-0_097069_2015-06-21_final
2015-06-21 09:57:35	ga_ls7e_ard_3-0-0_097070_2015-06-21_final
2015-06-22 10:40:26	ga_ls7e_ard_3-0-0_104069_2015-06-22_final
2015-06-24 10:28:04	ga_ls7e_ard_3-0-0_102069_2015-06-24_final
2015-07-15 10:46:45	ga_ls7e_ard_3-0-0_105069_2015-07-15_final
2015-07-17 10:34:23	ga_ls7e_ard_3-0-0_103069_2015-07-17_final
2015-07-20 11:05:18	ga_ls7e_ard_3-0-0_108069_2015-07-20_final
2015-07-24 10:40:35	ga_ls7e_ard_3-0-0_104069_2015-07-24_final
2015-07-26 10:28:13	ga_ls7e_ard_3-0-0_102069_2015-07-26_final
2015-10-14 10:28:39	ga_ls7e_ard_3-0-0_102069_2015-10-14_final
2015-10-24 11:05:54	ga_ls7e_ard_3-0-0_108069_2015-10-24_final
2015-10-24 11:06:18	ga_ls7e_ard_3-0-0_108070_2015-10-24_final
2015-10-25 10:10:18	ga_ls7e_ard_3-0-0_099069_2015-10-25_final
2015-10-26 10:53:34	ga_ls7e_ard_3-0-0_106069_2015-10-26_final
2015-10-26 10:53:58	ga_ls7e_ard_3-0-0_106070_2015-10-26_final
2015-10-27 09:58:21	ga_ls7e_ard_3-0-0_097070_2015-10-27_final
2015-10-28 10:41:14	ga_ls7e_ard_3-0-0_104069_2015-10-28_final
2015-10-28 10:41:38	ga_ls7e_ard_3-1-0_104070_2015-10-28_final
2015-10-30 10:28:54	ga_ls7e_ard_3-0-0_102069_2015-10-30_final
2015-11-09 11:06:09	ga_ls7e_ard_3-0-0_108069_2015-11-09_final
2015-11-10 10:10:33	ga_ls7e_ard_3-0-0_099069_2015-11-10_final
2015-11-10 10:10:57	ga_ls7e_ard_3-0-0_099070_2015-11-10_final
2015-11-11 10:53:49	ga_ls7e_ard_3-0-0_106069_2015-11-11_final
2015-11-12 09:58:13	ga_ls7e_ard_3-0-0_097069_2015-11-12_final
2015-11-13 10:41:30	ga_ls7e_ard_3-0-0_104069_2015-11-13_final
2015-12-17 10:29:40	ga_ls7e_ard_3-0-0_102069_2015-12-17_final
2015-12-17 10:30:04	ga_ls7e_ard_3-0-0_102070_2015-12-17_final
2015-12-21 10:05:00	ga_ls7e_ard_3-0-0_098069_2015-12-21_final
2015-12-28 10:11:16	ga_ls7e_ard_3-0-0_099069_2015-12-28_final
2015-12-29 10:54:32	ga_ls7e_ard_3-0-0_106069_2015-12-29_final
2015-12-29 10:54:56	ga_ls7e_ard_3-0-0_106070_2015-12-29_final
2015-12-30 09:58:56	ga_ls7e_ard_3-0-0_097069_2015-12-30_final
2015-12-31 10:42:13	ga_ls7e_ard_3-0-0_104069_2015-12-31_final
2015-12-31 10:42:37	ga_ls7e_ard_3-1-0_104070_2015-12-31_final
2016-01-07 10:48:31	ga_ls7e_ard_3-0-0_105069_2016-01-07_final
2016-01-07 10:48:55	ga_ls7e_ard_3-0-0_105070_2016-01-07_final
2016-01-08 09:53:19	ga_ls7e_ard_3-0-0_096070_2016-01-08_final
2016-01-09 10:36:11	ga_ls7e_ard_3-0-0_103069_2016-01-09_final
2016-01-09 10:36:35	ga_ls7e_ard_3-0-0_103070_2016-01-09_final
2016-02-07 10:05:36	ga_ls7e_ard_3-0-0_098069_2016-02-07_final
2016-02-07 10:05:59	ga_ls7e_ard_3-0-0_098070_2016-02-07_final
2016-03-04 10:42:49	ga_ls7e_ard_3-0-0_104069_2016-03-04_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