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
2006-07-24 10:24:21	ga_ls7e_ard_3-0-0_103069_2006-07-24_final
2006-07-24 10:24:45	ga_ls7e_ard_3-0-0_103070_2006-07-24_final
2006-07-25 11:08:00	ga_ls7e_ard_3-0-0_110070_2006-07-25_final
2006-08-21 10:49:25	ga_ls7e_ard_3-0-0_107070_2006-08-21_final
2006-08-22 09:53:24	ga_ls7e_ard_3-0-0_098069_2006-08-22_final
2006-08-22 09:53:48	ga_ls7e_ard_3-0-0_098070_2006-08-22_final
2006-08-23 10:36:39	ga_ls7e_ard_3-0-0_105069_2006-08-23_final
2006-08-23 10:37:03	ga_ls7e_ard_3-0-0_105070_2006-08-23_final
2006-12-06 10:30:57	ga_ls7e_ard_3-0-0_104069_2006-12-06_final
2006-12-06 10:31:21	ga_ls7e_ard_3-1-0_104070_2006-12-06_final
2006-12-08 10:18:36	ga_ls7e_ard_3-0-0_102069_2006-12-08_final
2006-12-08 10:19:00	ga_ls7e_ard_3-0-0_102070_2006-12-08_final
2006-12-09 11:02:16	ga_ls7e_ard_3-0-0_109070_2006-12-09_final
2007-02-04 10:55:55	ga_ls7e_ard_3-0-0_108069_2007-02-04_final
2007-02-04 10:56:18	ga_ls7e_ard_3-0-0_108070_2007-02-04_final
2007-02-08 10:31:13	ga_ls7e_ard_3-0-0_104069_2007-02-08_final
2007-02-08 10:31:37	ga_ls7e_ard_3-1-0_104070_2007-02-08_final
2007-02-10 10:18:52	ga_ls7e_ard_3-0-0_102069_2007-02-10_final
2007-02-10 10:19:16	ga_ls7e_ard_3-0-0_102070_2007-02-10_final
2018-10-26 10:00:43	ga_ls7e_ard_3-0-0_098069_2018-10-26_final
2018-10-27 10:43:57	ga_ls7e_ard_3-0-0_105069_2018-10-27_final
2018-10-27 10:44:21	ga_ls7e_ard_3-0-0_105070_2018-10-27_final
2018-10-29 10:31:33	ga_ls7e_ard_3-0-0_103069_2018-10-29_final
2018-10-29 10:31:57	ga_ls7e_ard_3-0-0_103070_2018-10-29_final
2018-10-30 11:15:11	ga_ls7e_ard_3-0-0_110070_2018-10-30_final
2018-11-14 10:31:11	ga_ls7e_ard_3-0-0_103069_2018-11-14_final
2018-11-14 10:31:35	ga_ls7e_ard_3-0-0_103070_2018-11-14_final
2018-11-17 11:02:25	ga_ls7e_ard_3-0-0_108070_2018-11-17_final
2018-11-18 10:06:22	ga_ls7e_ard_3-0-0_099069_2018-11-18_final
2018-11-18 10:06:46	ga_ls7e_ard_3-0-0_099070_2018-11-18_final
2018-12-16 10:30:21	ga_ls7e_ard_3-0-0_103069_2018-12-16_final
2018-12-17 11:13:59	ga_ls7e_ard_3-0-0_110070_2018-12-17_final
2019-01-04 11:00:41	ga_ls7e_ard_3-0-0_108069_2019-01-04_final
2019-01-05 10:05:02	ga_ls7e_ard_3-0-0_099069_2019-01-05_final
2019-01-05 10:05:26	ga_ls7e_ard_3-0-0_099070_2019-01-05_final
2019-01-30 09:58:03	ga_ls7e_ard_3-0-0_098069_2019-01-30_final
2019-04-23 10:26:14	ga_ls7e_ard_3-0-0_103069_2019-04-23_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
2019-04-27 10:01:46	ga_ls7e_ard_3-0-0_099070_2019-04-27_final
2019-04-28 10:44:35	ga_ls7e_ard_3-0-0_106069_2019-04-28_final
2019-05-24 09:42:11	ga_ls7e_ard_3-0-0_096070_2019-05-24_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
2019-06-14 09:59:35	ga_ls7e_ard_3-0-0_099069_2019-06-14_final
2019-06-14 09:59:59	ga_ls7e_ard_3-0-0_099070_2019-06-14_final
2019-06-15 10:42:48	ga_ls7e_ard_3-0-0_106069_2019-06-15_final
2019-06-15 10:43:12	ga_ls7e_ard_3-0-0_106070_2019-06-15_final
2019-06-16 09:47:09	ga_ls7e_ard_3-0-0_097069_2019-06-16_final
2019-06-24 10:36:18	ga_ls7e_ard_3-0-0_105069_2019-06-24_final
2019-06-24 10:36:42	ga_ls7e_ard_3-0-0_105070_2019-06-24_final
2019-06-25 09:41:02	ga_ls7e_ard_3-0-0_096070_2019-06-25_final
2019-06-26 10:23:52	ga_ls7e_ard_3-0-0_103069_2019-06-26_final
2019-06-26 10:24:15	ga_ls7e_ard_3-0-0_103070_2019-06-26_final
2019-06-27 11:07:29	ga_ls7e_ard_3-0-0_110070_2019-06-27_final
2019-06-29 10:54:39	ga_ls7e_ard_3-0-0_108069_2019-06-29_final
2019-06-30 09:58:59	ga_ls7e_ard_3-0-0_099069_2019-06-30_final
2019-07-09 09:52:28	ga_ls7e_ard_3-0-0_098069_2019-07-09_final
2019-07-10 10:35:41	ga_ls7e_ard_3-0-0_105069_2019-07-10_final
2019-07-10 10:36:05	ga_ls7e_ard_3-0-0_105070_2019-07-10_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
2019-08-18 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
2019-08-20 10:27:50	ga_ls7e_ard_3-0-0_104069_2019-08-20_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
2019-09-01 10:52:27	ga_ls7e_ard_3-1-0_108070_2019-09-01_final
2019-09-02 09:56:23	ga_ls7e_ard_3-1-0_099069_2019-09-02_final
2019-09-03 10:39:36	ga_ls7e_ard_3-1-0_106069_2019-09-03_final
2019-09-05 10:27:09	ga_ls7e_ard_3-1-0_104069_2019-09-05_final
2019-10-04 09:55:00	ga_ls7e_ard_3-1-0_099069_2019-10-04_final
2019-10-04 09:55:24	ga_ls7e_ard_3-1-0_099070_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
2019-11-05 09:53:37	ga_ls7e_ard_3-1-0_099069_2019-11-05_final
2019-11-06 10:36:50	ga_ls7e_ard_3-1-0_106069_2019-11-06_final
2019-12-03 10:17:01	ga_ls7e_ard_3-1-0_103069_2019-12-03_final
2019-12-06 10:47:47	ga_ls7e_ard_3-1-0_108069_2019-12-06_final
2019-12-07 09:52:06	ga_ls7e_ard_3-1-0_099069_2019-12-07_final
2019-12-07 09:52:30	ga_ls7e_ard_3-1-0_099070_2019-12-07_final
2019-12-08 10:35:19	ga_ls7e_ard_3-1-0_106069_2019-12-08_final
2019-12-10 10:22:51	ga_ls7e_ard_3-1-0_104069_2019-12-10_final
2019-12-12 10:10:24	ga_ls7e_ard_3-1-0_102069_2019-12-12_final
2019-12-12 10:10:48	ga_ls7e_ard_3-1-0_102070_2019-12-12_final
2019-12-15 10:41:33	ga_ls7e_ard_3-1-0_107070_2019-12-15_final
2019-12-16 09:45:28	ga_ls7e_ard_3-1-0_098069_2019-12-16_final
2019-12-17 10:28:41	ga_ls7e_ard_3-1-0_105069_2019-12-17_final
2019-12-23 09:51:18	ga_ls7e_ard_3-1-0_099069_2019-12-23_final
2019-12-23 09:51:42	ga_ls7e_ard_3-1-0_099070_2019-12-23_final
2019-12-24 10:34:30	ga_ls7e_ard_3-1-0_106069_2019-12-24_final
2019-12-25 09:38:50	ga_ls7e_ard_3-1-0_097069_2019-12-25_final
2020-01-07 10:46:32	ga_ls7e_ard_3-1-0_108070_2020-01-07_final
2020-01-08 09:50:27	ga_ls7e_ard_3-1-0_099069_2020-01-08_final
2020-02-05 10:13:47	ga_ls7e_ard_3-1-0_103069_2020-02-05_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