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
2002-09-02 10:53:32	ga_ls7e_ard_3-0-0_108069_2002-09-02_final
2002-09-03 09:57:55	ga_ls7e_ard_3-0-0_099069_2002-09-03_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
2002-09-18 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
2002-09-21 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
2002-10-04 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
2002-11-06 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
2014-02-25 10:49:54	ga_ls7e_ard_3-0-0_106069_2014-02-25_final
2014-02-27 10:37:32	ga_ls7e_ard_3-0-0_104069_2014-02-27_final
2014-03-01 10:25:12	ga_ls7e_ard_3-0-0_102069_2014-03-01_final
2014-03-17 10:25:21	ga_ls7e_ard_3-0-0_102069_2014-03-17_final
2014-03-21 10:00:39	ga_ls7e_ard_3-0-0_098069_2014-03-21_final
2014-03-22 10:43:55	ga_ls7e_ard_3-0-0_105069_2014-03-22_final
2014-03-24 10:31:34	ga_ls7e_ard_3-0-0_103069_2014-03-24_final
2014-03-27 11:02:29	ga_ls7e_ard_3-0-0_108069_2014-03-27_final
2014-03-28 10:06:52	ga_ls7e_ard_3-0-0_099069_2014-03-28_final
2014-03-29 10:50:09	ga_ls7e_ard_3-0-0_106069_2014-03-29_final
2014-03-30 09:54:32	ga_ls7e_ard_3-0-0_097069_2014-03-30_final
2014-03-31 10:37:48	ga_ls7e_ard_3-0-0_104069_2014-03-31_final
2014-04-02 10:25:27	ga_ls7e_ard_3-0-0_102069_2014-04-02_final
2014-04-09 10:31:38	ga_ls7e_ard_3-0-0_103069_2014-04-09_final
2014-04-16 10:37:55	ga_ls7e_ard_3-0-0_104069_2014-04-16_final
2014-04-22 10:00:55	ga_ls7e_ard_3-0-0_098069_2014-04-22_final
2014-04-23 10:44:11	ga_ls7e_ard_3-0-0_105069_2014-04-23_final
2014-04-25 10:31:51	ga_ls7e_ard_3-0-0_103069_2014-04-25_final
2014-04-29 10:07:08	ga_ls7e_ard_3-0-0_099069_2014-04-29_final
2014-05-09 10:44:16	ga_ls7e_ard_3-0-0_105069_2014-05-09_final
2014-05-11 10:31:56	ga_ls7e_ard_3-0-0_103069_2014-05-11_final
2014-05-15 10:07:15	ga_ls7e_ard_3-0-0_099069_2014-05-15_final
2014-05-16 10:50:31	ga_ls7e_ard_3-0-0_106069_2014-05-16_final
2014-05-17 09:54:54	ga_ls7e_ard_3-0-0_097069_2014-05-17_final
2014-05-18 10:38:10	ga_ls7e_ard_3-0-0_104069_2014-05-18_final
2014-05-20 10:25:49	ga_ls7e_ard_3-0-0_102069_2014-05-20_final
2014-05-21 11:09:29	ga_ls7e_ard_3-0-0_109070_2014-05-21_final
2014-05-24 10:01:07	ga_ls7e_ard_3-0-0_098069_2014-05-24_final
2014-05-25 10:44:22	ga_ls7e_ard_3-0-0_105069_2014-05-25_final
2014-05-27 10:32:01	ga_ls7e_ard_3-0-0_103069_2014-05-27_final
2014-05-30 11:02:56	ga_ls7e_ard_3-0-0_108069_2014-05-30_final
2014-05-31 10:07:19	ga_ls7e_ard_3-0-0_099069_2014-05-31_final
2014-06-01 10:50:35	ga_ls7e_ard_3-0-0_106069_2014-06-01_final
2014-06-02 09:54:58	ga_ls7e_ard_3-0-0_097069_2014-06-02_final
2014-06-03 10:38:13	ga_ls7e_ard_3-0-0_104069_2014-06-03_final
2014-06-05 10:25:52	ga_ls7e_ard_3-0-0_102069_2014-06-05_final
2014-06-09 10:01:09	ga_ls7e_ard_3-0-0_098069_2014-06-09_final
2014-06-10 10:44:25	ga_ls7e_ard_3-0-0_105069_2014-06-10_final
2014-06-12 10:32:03	ga_ls7e_ard_3-0-0_103069_2014-06-12_final
2014-06-17 10:50:35	ga_ls7e_ard_3-0-0_106069_2014-06-17_final
2014-06-19 10:38:14	ga_ls7e_ard_3-0-0_104069_2014-06-19_final
2014-06-21 10:25:53	ga_ls7e_ard_3-0-0_102069_2014-06-21_final
2014-06-26 10:44:28	ga_ls7e_ard_3-0-0_105069_2014-06-26_final
2014-06-28 10:32:08	ga_ls7e_ard_3-0-0_103069_2014-06-28_final
2014-07-07 10:25:59	ga_ls7e_ard_3-0-0_102069_2014-07-07_final
2014-07-11 10:01:16	ga_ls7e_ard_3-0-0_098069_2014-07-11_final
2014-07-23 10:26:03	ga_ls7e_ard_3-0-0_102069_2014-07-23_final
2014-07-27 10:01:21	ga_ls7e_ard_3-0-0_098069_2014-07-27_final
2014-07-28 10:44:37	ga_ls7e_ard_3-0-0_105069_2014-07-28_final
2014-08-08 10:26:07	ga_ls7e_ard_3-0-0_102069_2014-08-08_final
2014-08-12 10:01:24	ga_ls7e_ard_3-0-0_098069_2014-08-12_final
2014-08-13 10:44:40	ga_ls7e_ard_3-0-0_105069_2014-08-13_final
2014-08-15 10:32:18	ga_ls7e_ard_3-0-0_103069_2014-08-15_final
2014-08-24 10:26:05	ga_ls7e_ard_3-0-0_102069_2014-08-24_final
2014-08-28 10:01:22	ga_ls7e_ard_3-0-0_098069_2014-08-28_final
2014-08-29 10:44:38	ga_ls7e_ard_3-0-0_105069_2014-08-29_final
2014-08-31 10:32:17	ga_ls7e_ard_3-0-0_103069_2014-08-31_final
2017-10-31 10:55:49	ga_ls7e_ard_3-0-0_106069_2017-10-31_final
2017-11-01 10:00:12	ga_ls7e_ard_3-0-0_097069_2017-11-01_final
2017-11-02 10:43:28	ga_ls7e_ard_3-0-0_104069_2017-11-02_final
2017-11-04 10:31:06	ga_ls7e_ard_3-0-0_102069_2017-11-04_final
2017-11-14 11:08:09	ga_ls7e_ard_3-0-0_108069_2017-11-14_final
2017-11-15 10:12:31	ga_ls7e_ard_3-0-0_099069_2017-11-15_final
2017-11-16 10:55:47	ga_ls7e_ard_3-0-0_106069_2017-11-16_final
2017-11-17 10:00:09	ga_ls7e_ard_3-0-0_097069_2017-11-17_final
2017-11-17 10:00:33	ga_ls7e_ard_3-0-0_097070_2017-11-17_final
2017-11-18 10:43:24	ga_ls7e_ard_3-0-0_104069_2017-11-18_final
2017-11-20 10:31:02	ga_ls7e_ard_3-0-0_102069_2017-11-20_final
2017-11-27 10:37:10	ga_ls7e_ard_3-0-0_103069_2017-11-27_final
2017-12-22 10:30:46	ga_ls7e_ard_3-0-0_102069_2017-12-22_final
2017-12-26 10:05:59	ga_ls7e_ard_3-0-0_098069_2017-12-26_final
2017-12-27 10:49:14	ga_ls7e_ard_3-0-0_105069_2017-12-27_final
2017-12-29 10:36:51	ga_ls7e_ard_3-0-0_103069_2017-12-29_final
2018-01-11 10:05:46	ga_ls7e_ard_3-0-0_098069_2018-01-11_final
2018-02-21 09:59:02	ga_ls7e_ard_3-0-0_097069_2018-02-21_final
2018-02-22 10:42:17	ga_ls7e_ard_3-0-0_104069_2018-02-22_final
2018-02-24 10:29:54	ga_ls7e_ard_3-0-0_102069_2018-02-24_final
2018-04-20 10:35:19	ga_ls7e_ard_3-0-0_103069_2018-04-20_final
2018-04-23 11:06:09	ga_ls7e_ard_3-0-0_108069_2018-04-23_final
2018-04-29 10:28:58	ga_ls7e_ard_3-0-0_102069_2018-04-29_final
2018-05-15 10:28:41	ga_ls7e_ard_3-0-0_102069_2018-05-15_final
2018-08-03 10:27:16	ga_ls7e_ard_3-0-0_102069_2018-08-03_final
2018-10-02 10:50:43	ga_ls7e_ard_3-0-0_106069_2018-10-02_final
2018-10-03 09:55:04	ga_ls7e_ard_3-0-0_097069_2018-10-03_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