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
2000-07-07 10:26:13	ga_ls7e_ard_3-0-0_103069_2000-07-07_final
2000-07-10 10:57:04	ga_ls7e_ard_3-0-0_108069_2000-07-10_final
2000-07-11 10:01:26	ga_ls7e_ard_3-0-0_099069_2000-07-11_final
2001-01-28 09:54:16	ga_ls7e_ard_3-0-0_098069_2001-01-28_final
2001-03-13 10:18:47	ga_ls7e_ard_3-0-0_102069_2001-03-13_final
2001-03-13 10:19:11	ga_ls7e_ard_3-0-0_102070_2001-03-13_final
2002-03-16 10:17:19	ga_ls7e_ard_3-0-0_102069_2002-03-16_final
2002-03-16 10:17:43	ga_ls7e_ard_3-0-0_102070_2002-03-16_final
2002-09-04 10:41:11	ga_ls7e_ard_3-0-0_106069_2002-09-04_final
2002-09-05 09:45:57	ga_ls7e_ard_3-0-0_097070_2002-09-05_final
2002-09-06 10:28:49	ga_ls7e_ard_3-0-0_104069_2002-09-06_final
2002-09-06 10:29:13	ga_ls7e_ard_3-1-0_104070_2002-09-06_final
2002-09-08 10:16:26	ga_ls7e_ard_3-0-0_102069_2002-09-08_final
2002-09-09 11:00:05	ga_ls7e_ard_3-0-0_109070_2002-09-09_final
2002-09-18 10:53:19	ga_ls7e_ard_3-0-0_108069_2002-09-18_final
2002-09-18 10:53:42	ga_ls7e_ard_3-0-0_108070_2002-09-18_final
2002-09-19 09:57:42	ga_ls7e_ard_3-0-0_099069_2002-09-19_final
2002-09-20 10:40:58	ga_ls7e_ard_3-0-0_106069_2002-09-20_final
2002-09-20 10:41:21	ga_ls7e_ard_3-0-0_106070_2002-09-20_final
2002-09-21 09:45:20	ga_ls7e_ard_3-0-0_097069_2002-09-21_final
2002-09-29 10:34:45	ga_ls7e_ard_3-0-0_105069_2002-09-29_final
2002-10-01 10:22:22	ga_ls7e_ard_3-0-0_103069_2002-10-01_final
2002-10-02 11:06:01	ga_ls7e_ard_3-0-0_110070_2002-10-02_final
2002-10-04 10:53:16	ga_ls7e_ard_3-0-0_108069_2002-10-04_final
2002-11-02 10:22:29	ga_ls7e_ard_3-0-0_103069_2002-11-02_final
2002-11-03 11:06:09	ga_ls7e_ard_3-0-0_110070_2002-11-03_final
2002-11-06 09:57:48	ga_ls7e_ard_3-0-0_099069_2002-11-06_final
2002-11-07 10:41:04	ga_ls7e_ard_3-0-0_106069_2002-11-07_final
2007-12-15 09:54:03	ga_ls7e_ard_3-0-0_098069_2007-12-15_final
2008-04-05 09:53:53	ga_ls7e_ard_3-0-0_098069_2008-04-05_final
2017-01-20 10:30:33	ga_ls7e_ard_3-0-0_102069_2017-01-20_final
2017-02-17 10:55:10	ga_ls7e_ard_3-0-0_106069_2017-02-17_final
2017-02-21 10:30:29	ga_ls7e_ard_3-0-0_102069_2017-02-21_final
2017-04-24 10:43:14	ga_ls7e_ard_3-0-0_104069_2017-04-24_final
2017-04-24 10:43:38	ga_ls7e_ard_3-1-0_104070_2017-04-24_final
2017-04-27 11:14:33	ga_ls7e_ard_3-0-0_109070_2017-04-27_final
2017-04-29 11:02:12	ga_ls7e_ard_3-0-0_107070_2017-04-29_final
2017-06-29 10:31:07	ga_ls7e_ard_3-0-0_102069_2017-06-29_final
2017-06-29 10:31:31	ga_ls7e_ard_3-0-0_102070_2017-06-29_final
2017-07-03 10:06:24	ga_ls7e_ard_3-0-0_098069_2017-07-03_final
2017-07-27 10:55:50	ga_ls7e_ard_3-0-0_106069_2017-07-27_final
2017-07-28 10:00:13	ga_ls7e_ard_3-0-0_097069_2017-07-28_final
2017-07-29 10:43:28	ga_ls7e_ard_3-0-0_104069_2017-07-29_final
2017-07-31 10:31:06	ga_ls7e_ard_3-0-0_102069_2017-07-31_final
2019-04-26 10:57:02	ga_ls7e_ard_3-0-0_108069_2019-04-26_final
2019-04-27 10:01:22	ga_ls7e_ard_3-0-0_099069_2019-04-27_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
2019-05-06 09:54:51	ga_ls7e_ard_3-0-0_098069_2019-05-06_final
2019-05-09 10:25:38	ga_ls7e_ard_3-0-0_103069_2019-05-09_final
2019-05-13 10:00:45	ga_ls7e_ard_3-0-0_099069_2019-05-13_final
2019-05-18 10:19:06	ga_ls7e_ard_3-0-0_102069_2019-05-18_final
2019-05-25 10:25:01	ga_ls7e_ard_3-0-0_103069_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
2019-06-01 10:30:57	ga_ls7e_ard_3-0-0_104069_2019-06-01_final
2019-06-07 09:53:39	ga_ls7e_ard_3-0-0_098069_2019-06-07_final
2019-06-08 10:36:53	ga_ls7e_ard_3-0-0_105069_2019-06-08_final
2019-06-10 10:24:27	ga_ls7e_ard_3-0-0_103069_2019-06-10_final
2019-06-14 09:59:35	ga_ls7e_ard_3-0-0_099069_2019-06-14_final
2019-06-15 10:42:48	ga_ls7e_ard_3-0-0_106069_2019-06-15_final
2019-06-16 09:47:09	ga_ls7e_ard_3-0-0_097069_2019-06-16_final
2019-06-17 10:30:22	ga_ls7e_ard_3-0-0_104069_2019-06-17_final
2019-06-19 10:17:56	ga_ls7e_ard_3-0-0_102069_2019-06-19_final
2019-06-23 09:53:04	ga_ls7e_ard_3-0-0_098069_2019-06-23_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
2019-07-05 10:17:20	ga_ls7e_ard_3-0-0_102069_2019-07-05_final
2019-07-15 10:54:02	ga_ls7e_ard_3-0-0_108069_2019-07-15_final
2019-07-16 09:58:22	ga_ls7e_ard_3-0-0_099069_2019-07-16_final
2019-07-26 10:35:03	ga_ls7e_ard_3-0-0_105069_2019-07-26_final
2019-07-28 10:22:37	ga_ls7e_ard_3-0-0_103069_2019-07-28_final
2019-07-31 10:53:23	ga_ls7e_ard_3-0-0_108069_2019-07-31_final
2019-08-01 09:57:44	ga_ls7e_ard_3-0-0_099069_2019-08-01_final
2019-08-02 10:40:57	ga_ls7e_ard_3-0-0_106069_2019-08-02_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
2019-08-10 09:51:11	ga_ls7e_ard_3-0-0_098069_2019-08-10_final
2019-08-11 10:34:24	ga_ls7e_ard_3-0-0_105069_2019-08-11_final
2019-08-13 10:21:57	ga_ls7e_ard_3-0-0_103069_2019-08-13_final
2019-08-16 10:52:44	ga_ls7e_ard_3-0-0_108069_2019-08-16_final
2019-08-17 09:57:04	ga_ls7e_ard_3-0-0_099069_2019-08-17_final
2019-08-18 10:40:17	ga_ls7e_ard_3-0-0_106069_2019-08-18_final
2019-08-19 09:44:37	ga_ls7e_ard_3-0-0_097069_2019-08-19_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
2019-09-02 09:56:23	ga_ls7e_ard_3-1-0_099069_2019-09-02_final
2019-09-07 10:14:42	ga_ls7e_ard_3-1-0_102069_2019-09-07_final
2019-09-19 10:38:54	ga_ls7e_ard_3-1-0_106069_2019-09-19_final
2019-09-21 10:26:27	ga_ls7e_ard_3-1-0_104069_2019-09-21_final
2019-09-21 10:26:50	ga_ls7e_ard_3-1-0_104070_2019-09-21_final
2019-09-27 09:49:06	ga_ls7e_ard_3-1-0_098069_2019-09-27_final
2019-09-28 10:32:19	ga_ls7e_ard_3-1-0_105069_2019-09-28_final
2019-09-30 10:19:53	ga_ls7e_ard_3-1-0_103069_2019-09-30_final
2019-10-03 10:50:40	ga_ls7e_ard_3-1-0_108069_2019-10-03_final
2019-10-04 09:55:00	ga_ls7e_ard_3-1-0_099069_2019-10-04_final
2019-10-05 10:38:13	ga_ls7e_ard_3-1-0_106069_2019-10-05_final
2019-10-06 09:42:33	ga_ls7e_ard_3-1-0_097069_2019-10-06_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