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
2000-04-06 10:02:21	ga_ls7e_ard_3-0-0_099069_2000-04-06_final
2000-04-06 10:02:45	ga_ls7e_ard_3-0-0_099070_2000-04-06_final
2000-04-07 10:45:37	ga_ls7e_ard_3-0-0_106069_2000-04-07_final
2000-04-07 10:46:01	ga_ls7e_ard_3-0-0_106070_2000-04-07_final
2000-04-08 09:49:59	ga_ls7e_ard_3-0-0_097069_2000-04-08_final
2000-04-09 10:33:13	ga_ls7e_ard_3-0-0_104069_2000-04-09_final
2000-06-10 10:45:03	ga_ls7e_ard_3-0-0_106069_2000-06-10_final
2000-06-10 10:45:27	ga_ls7e_ard_3-0-0_106070_2000-06-10_final
2000-06-11 09:49:26	ga_ls7e_ard_3-0-0_097069_2000-06-11_final
2000-06-11 09:49:49	ga_ls7e_ard_3-0-0_097070_2000-06-11_final
2000-06-12 10:32:41	ga_ls7e_ard_3-0-0_104069_2000-06-12_final
2000-06-14 10:20:44	ga_ls7e_ard_3-0-0_102070_2000-06-14_final
2000-06-15 11:03:59	ga_ls7e_ard_3-0-0_109070_2000-06-15_final
2000-08-28 10:00:52	ga_ls7e_ard_3-0-0_099069_2000-08-28_final
2000-08-28 10:01:16	ga_ls7e_ard_3-0-0_099070_2000-08-28_final
2000-08-29 10:44:07	ga_ls7e_ard_3-0-0_106069_2000-08-29_final
2000-08-29 10:44:31	ga_ls7e_ard_3-0-0_106070_2000-08-29_final
2000-08-30 09:48:28	ga_ls7e_ard_3-0-0_097069_2000-08-30_final
2000-08-30 09:48:52	ga_ls7e_ard_3-0-0_097070_2000-08-30_final
2000-08-31 10:31:43	ga_ls7e_ard_3-0-0_104069_2000-08-31_final
2000-08-31 10:32:07	ga_ls7e_ard_3-1-0_104070_2000-08-31_final
2000-09-13 10:00:34	ga_ls7e_ard_3-0-0_099069_2000-09-13_final
2000-09-13 10:00:58	ga_ls7e_ard_3-0-0_099070_2000-09-13_final
2000-09-14 10:43:48	ga_ls7e_ard_3-0-0_106069_2000-09-14_final
2000-09-14 10:44:12	ga_ls7e_ard_3-0-0_106070_2000-09-14_final
2000-09-15 09:48:10	ga_ls7e_ard_3-0-0_097069_2000-09-15_final
2000-09-15 09:48:34	ga_ls7e_ard_3-0-0_097070_2000-09-15_final
2000-09-16 10:31:24	ga_ls7e_ard_3-0-0_104069_2000-09-16_final
2000-09-16 10:31:48	ga_ls7e_ard_3-1-0_104070_2000-09-16_final
2002-08-29 09:39:46	ga_ls7e_ard_3-0-0_096070_2002-08-29_final
2002-08-30 10:22:38	ga_ls7e_ard_3-0-0_103069_2002-08-30_final
2002-08-30 10:23:02	ga_ls7e_ard_3-0-0_103070_2002-08-30_final
2002-08-31 11:06:18	ga_ls7e_ard_3-0-0_110070_2002-08-31_final
2002-10-29 10:47:33	ga_ls7e_ard_3-0-0_107070_2002-10-29_final
2002-10-30 09:51:31	ga_ls7e_ard_3-0-0_098069_2002-10-30_final
2002-10-30 09:51:55	ga_ls7e_ard_3-0-0_098070_2002-10-30_final
2002-12-16 10:48:01	ga_ls7e_ard_3-0-0_107070_2002-12-16_final
2002-12-17 09:52:00	ga_ls7e_ard_3-0-0_098069_2002-12-17_final
2002-12-17 09:52:24	ga_ls7e_ard_3-0-0_098070_2002-12-17_final
2002-12-18 10:35:15	ga_ls7e_ard_3-0-0_105069_2002-12-18_final
2002-12-18 10:35:39	ga_ls7e_ard_3-0-0_105070_2002-12-18_final
2002-12-30 11:00:28	ga_ls7e_ard_3-0-0_109070_2002-12-30_final
2003-02-11 10:41:51	ga_ls7e_ard_3-0-0_106069_2003-02-11_final
2003-02-11 10:42:15	ga_ls7e_ard_3-0-0_106070_2003-02-11_final
2003-02-12 09:46:38	ga_ls7e_ard_3-0-0_097070_2003-02-12_final
2003-02-15 10:17:09	ga_ls7e_ard_3-0-0_102069_2003-02-15_final
2003-02-15 10:17:33	ga_ls7e_ard_3-0-0_102070_2003-02-15_final
2003-02-16 11:00:49	ga_ls7e_ard_3-0-0_109070_2003-02-16_final
2016-05-20 10:12:21	ga_ls7e_ard_3-0-0_099069_2016-05-20_final
2016-05-20 10:12:45	ga_ls7e_ard_3-0-0_099070_2016-05-20_final
2016-05-21 10:55:37	ga_ls7e_ard_3-0-0_106069_2016-05-21_final
2016-05-21 10:56:01	ga_ls7e_ard_3-0-0_106070_2016-05-21_final
2016-07-12 10:31:01	ga_ls7e_ard_3-0-0_102069_2016-07-12_final
2016-07-12 10:31:25	ga_ls7e_ard_3-0-0_102070_2016-07-12_final
2016-07-15 11:02:20	ga_ls7e_ard_3-0-0_107070_2016-07-15_final
2016-07-16 10:06:19	ga_ls7e_ard_3-0-0_098069_2016-07-16_final
2016-07-16 10:06:43	ga_ls7e_ard_3-0-0_098070_2016-07-16_final
2016-08-14 11:14:45	ga_ls7e_ard_3-0-0_109070_2016-08-14_final
2016-11-08 10:37:15	ga_ls7e_ard_3-0-0_103069_2016-11-08_final
2016-11-08 10:37:39	ga_ls7e_ard_3-0-0_103070_2016-11-08_final
2016-11-09 11:20:54	ga_ls7e_ard_3-0-0_110070_2016-11-09_final
2016-11-11 11:08:08	ga_ls7e_ard_3-0-0_108069_2016-11-11_final
2016-11-11 11:08:32	ga_ls7e_ard_3-0-0_108070_2016-11-11_final
2016-11-12 10:12:30	ga_ls7e_ard_3-0-0_099069_2016-11-12_final
2016-11-12 10:12:54	ga_ls7e_ard_3-0-0_099070_2016-11-12_final
2017-02-03 10:42:49	ga_ls7e_ard_3-0-0_104069_2017-02-03_final
2017-02-05 10:30:27	ga_ls7e_ard_3-0-0_102069_2017-02-05_final
2017-02-05 10:30:51	ga_ls7e_ard_3-0-0_102070_2017-02-05_final
2017-02-17 10:55:10	ga_ls7e_ard_3-0-0_106069_2017-02-17_final
2017-02-17 10:55:34	ga_ls7e_ard_3-0-0_106070_2017-02-17_final
2017-02-18 09:59:57	ga_ls7e_ard_3-0-0_097070_2017-02-18_final
2017-02-21 10:30:29	ga_ls7e_ard_3-0-0_102069_2017-02-21_final
2017-02-21 10:30:53	ga_ls7e_ard_3-0-0_102070_2017-02-21_final
2017-02-22 11:14:09	ga_ls7e_ard_3-0-0_109070_2017-02-22_final
2017-11-18 10:43:24	ga_ls7e_ard_3-0-0_104069_2017-11-18_final
2017-11-18 10:43:48	ga_ls7e_ard_3-1-0_104070_2017-11-18_final
2017-11-20 10:31:02	ga_ls7e_ard_3-0-0_102069_2017-11-20_final
2017-11-20 10:31:26	ga_ls7e_ard_3-0-0_102070_2017-11-20_final
2017-11-21 11:14:41	ga_ls7e_ard_3-0-0_109070_2017-11-21_final
2017-11-23 11:02:19	ga_ls7e_ard_3-0-0_107070_2017-11-23_final
2017-12-13 10:37:02	ga_ls7e_ard_3-0-0_103069_2017-12-13_final
2017-12-13 10:37:26	ga_ls7e_ard_3-0-0_103070_2017-12-13_final
2017-12-16 11:07:54	ga_ls7e_ard_3-0-0_108069_2017-12-16_final
2017-12-16 11:08:18	ga_ls7e_ard_3-0-0_108070_2017-12-16_final
2017-12-17 10:12:16	ga_ls7e_ard_3-0-0_099069_2017-12-17_final
2017-12-17 10:12:40	ga_ls7e_ard_3-0-0_099070_2017-12-17_final
2018-05-06 10:35:01	ga_ls7e_ard_3-0-0_103069_2018-05-06_final
2018-05-06 10:35:25	ga_ls7e_ard_3-0-0_103070_2018-05-06_final
2018-05-07 11:18:39	ga_ls7e_ard_3-0-0_110070_2018-05-07_final
2018-07-09 10:33:53	ga_ls7e_ard_3-0-0_103069_2018-07-09_final
2018-07-09 10:34:17	ga_ls7e_ard_3-0-0_103070_2018-07-09_final
2018-07-12 11:04:43	ga_ls7e_ard_3-0-0_108069_2018-07-12_final
2018-07-12 11:05:07	ga_ls7e_ard_3-0-0_108070_2018-07-12_final
2018-07-13 10:09:05	ga_ls7e_ard_3-0-0_099069_2018-07-13_final
2018-07-13 10:09:29	ga_ls7e_ard_3-0-0_099070_2018-07-13_final
2019-09-27 09:49:06	ga_ls7e_ard_3-1-0_098069_2019-09-27_final
2019-11-20 10:48:33	ga_ls7e_ard_3-1-0_108069_2019-11-20_final
2019-11-20 10:48:57	ga_ls7e_ard_3-1-0_108070_2019-11-20_final
2019-11-21 09:52:53	ga_ls7e_ard_3-1-0_099069_2019-11-21_final
2019-11-22 10:36:06	ga_ls7e_ard_3-1-0_106069_2019-11-22_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