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
1999-08-11 10:46:05	ga_ls7e_ard_3-0-0_106069_1999-08-11_final
1999-08-13 10:33:43	ga_ls7e_ard_3-0-0_104069_1999-08-13_final
1999-12-03 10:33:39	ga_ls7e_ard_3-0-0_104069_1999-12-03_final
1999-12-03 10:34:03	ga_ls7e_ard_3-1-0_104070_1999-12-03_final
1999-12-05 10:21:20	ga_ls7e_ard_3-0-0_102069_1999-12-05_final
1999-12-05 10:21:44	ga_ls7e_ard_3-0-0_102070_1999-12-05_final
2007-09-06 10:18:20	ga_ls7e_ard_3-0-0_102069_2007-09-06_final
2007-09-20 10:30:37	ga_ls7e_ard_3-0-0_104069_2007-09-20_final
2007-09-22 10:18:15	ga_ls7e_ard_3-0-0_102069_2007-09-22_final
2007-09-22 10:18:39	ga_ls7e_ard_3-0-0_102070_2007-09-22_final
2007-10-05 09:47:12	ga_ls7e_ard_3-0-0_097069_2007-10-05_final
2007-10-05 09:47:36	ga_ls7e_ard_3-0-0_097070_2007-10-05_final
2007-10-06 10:30:29	ga_ls7e_ard_3-0-0_104069_2007-10-06_final
2007-10-06 10:30:53	ga_ls7e_ard_3-1-0_104070_2007-10-06_final
2007-10-08 10:18:09	ga_ls7e_ard_3-0-0_102069_2007-10-08_final
2007-10-08 10:18:33	ga_ls7e_ard_3-0-0_102070_2007-10-08_final
2007-10-20 10:43:02	ga_ls7e_ard_3-0-0_106069_2007-10-20_final
2007-10-20 10:43:26	ga_ls7e_ard_3-0-0_106070_2007-10-20_final
2007-10-21 09:47:25	ga_ls7e_ard_3-0-0_097069_2007-10-21_final
2007-10-22 10:31:06	ga_ls7e_ard_3-1-0_104070_2007-10-22_final
2007-11-03 10:55:33	ga_ls7e_ard_3-0-0_108069_2007-11-03_final
2007-11-03 10:55:57	ga_ls7e_ard_3-0-0_108070_2007-11-03_final
2007-11-04 09:59:56	ga_ls7e_ard_3-0-0_099069_2007-11-04_final
2007-11-04 10:00:20	ga_ls7e_ard_3-0-0_099070_2007-11-04_final
2007-11-05 10:43:13	ga_ls7e_ard_3-0-0_106069_2007-11-05_final
2007-11-05 10:43:37	ga_ls7e_ard_3-0-0_106070_2007-11-05_final
2007-11-06 09:47:36	ga_ls7e_ard_3-0-0_097069_2007-11-06_final
2007-11-07 10:30:52	ga_ls7e_ard_3-0-0_104069_2007-11-07_final
2007-11-07 10:31:16	ga_ls7e_ard_3-1-0_104070_2007-11-07_final
2007-11-09 10:18:32	ga_ls7e_ard_3-0-0_102069_2007-11-09_final
2007-11-19 10:55:42	ga_ls7e_ard_3-0-0_108069_2007-11-19_final
2007-11-20 10:00:05	ga_ls7e_ard_3-0-0_099069_2007-11-20_final
2007-11-20 10:00:29	ga_ls7e_ard_3-0-0_099070_2007-11-20_final
2008-02-08 10:00:38	ga_ls7e_ard_3-0-0_099070_2008-02-08_final
2008-02-09 10:43:29	ga_ls7e_ard_3-0-0_106069_2008-02-09_final
2008-02-09 10:43:53	ga_ls7e_ard_3-0-0_106070_2008-02-09_final
2008-02-25 10:43:49	ga_ls7e_ard_3-0-0_106070_2008-02-25_final
2008-02-26 09:47:47	ga_ls7e_ard_3-0-0_097069_2008-02-26_final
2008-02-29 10:19:04	ga_ls7e_ard_3-0-0_102070_2008-02-29_final
2008-04-06 10:37:09	ga_ls7e_ard_3-0-0_105069_2008-04-06_final
2008-04-07 09:41:56	ga_ls7e_ard_3-0-0_096070_2008-04-07_final
2008-04-08 10:24:47	ga_ls7e_ard_3-0-0_103069_2008-04-08_final
2008-05-29 10:55:27	ga_ls7e_ard_3-0-0_108069_2008-05-29_final
2008-05-30 09:59:49	ga_ls7e_ard_3-0-0_099069_2008-05-30_final
2008-05-31 10:43:04	ga_ls7e_ard_3-0-0_106069_2008-05-31_final
2008-06-01 09:47:26	ga_ls7e_ard_3-0-0_097069_2008-06-01_final
2017-03-06 10:00:05	ga_ls7e_ard_3-0-0_097070_2017-03-06_final
2017-03-07 10:42:57	ga_ls7e_ard_3-0-0_104069_2017-03-07_final
2017-03-07 10:43:21	ga_ls7e_ard_3-1-0_104070_2017-03-07_final
2017-03-09 10:30:36	ga_ls7e_ard_3-0-0_102069_2017-03-09_final
2017-03-09 10:31:00	ga_ls7e_ard_3-0-0_102070_2017-03-09_final
2017-03-10 11:14:16	ga_ls7e_ard_3-0-0_109070_2017-03-10_final
2017-03-25 10:30:41	ga_ls7e_ard_3-0-0_102069_2017-03-25_final
2017-03-25 10:31:05	ga_ls7e_ard_3-0-0_102070_2017-03-25_final
2017-03-26 11:14:21	ga_ls7e_ard_3-0-0_109070_2017-03-26_final
2017-03-28 11:02:00	ga_ls7e_ard_3-0-0_107070_2017-03-28_final
2017-03-29 10:05:59	ga_ls7e_ard_3-0-0_098069_2017-03-29_final
2017-03-29 10:06:23	ga_ls7e_ard_3-0-0_098070_2017-03-29_final
2017-03-30 10:49:15	ga_ls7e_ard_3-0-0_105069_2017-03-30_final
2017-03-30 10:49:39	ga_ls7e_ard_3-0-0_105070_2017-03-30_final
2017-07-20 10:49:40	ga_ls7e_ard_3-0-0_105069_2017-07-20_final
2017-07-20 10:50:04	ga_ls7e_ard_3-0-0_105070_2017-07-20_final
2017-07-21 09:54:27	ga_ls7e_ard_3-0-0_096070_2017-07-21_final
2017-09-08 10:37:15	ga_ls7e_ard_3-0-0_103069_2017-09-08_final
2017-09-08 10:37:39	ga_ls7e_ard_3-0-0_103070_2017-09-08_final
2017-09-09 11:20:55	ga_ls7e_ard_3-0-0_110070_2017-09-09_final
2017-09-11 11:08:09	ga_ls7e_ard_3-0-0_108069_2017-09-11_final
2017-09-11 11:08:33	ga_ls7e_ard_3-0-0_108070_2017-09-11_final
2017-09-12 10:12:31	ga_ls7e_ard_3-0-0_099069_2017-09-12_final
2017-09-12 10:12:55	ga_ls7e_ard_3-0-0_099070_2017-09-12_final
2017-09-17 10:31:03	ga_ls7e_ard_3-0-0_102069_2017-09-17_final
2017-09-17 10:31:26	ga_ls7e_ard_3-0-0_102070_2017-09-17_final
2017-09-29 10:55:47	ga_ls7e_ard_3-0-0_106069_2017-09-29_final
2017-09-30 10:00:10	ga_ls7e_ard_3-0-0_097069_2017-09-30_final
2017-09-30 10:00:34	ga_ls7e_ard_3-0-0_097070_2017-09-30_final
2017-10-01 10:43:25	ga_ls7e_ard_3-0-0_104069_2017-10-01_final
2017-10-01 10:43:49	ga_ls7e_ard_3-1-0_104070_2017-10-01_final
2017-10-03 10:31:04	ga_ls7e_ard_3-0-0_102069_2017-10-03_final
2017-10-03 10:31:28	ga_ls7e_ard_3-0-0_102070_2017-10-03_final
2017-10-04 11:14:44	ga_ls7e_ard_3-0-0_109070_2017-10-04_final
2019-11-20 10:48:33	ga_ls7e_ard_3-1-0_108069_2019-11-20_final
2019-11-21 09:52:53	ga_ls7e_ard_3-1-0_099069_2019-11-21_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
2020-04-02 10:04:32	ga_ls7e_ard_3-1-0_102069_2020-04-02_final
2020-04-02 10:04:56	ga_ls7e_ard_3-1-0_102070_2020-04-02_final
2020-05-08 09:37:42	ga_ls7e_ard_3-1-0_098069_2020-05-08_final
2020-05-08 09:38:06	ga_ls7e_ard_3-1-0_098070_2020-05-08_final
2020-05-09 10:20:54	ga_ls7e_ard_3-1-0_105069_2020-05-09_final
2020-05-20 10:01:41	ga_ls7e_ard_3-1-0_102069_2020-05-20_final
2020-05-23 10:32:47	ga_ls7e_ard_3-1-0_107070_2020-05-23_final
2020-05-24 09:36:42	ga_ls7e_ard_3-1-0_098069_2020-05-24_final
2020-06-26 10:18:02	ga_ls7e_ard_3-1-0_105069_2020-06-26_final
2020-06-27 09:22:45	ga_ls7e_ard_3-1-0_096070_2020-06-26_final
2020-06-28 10:05:33	ga_ls7e_ard_3-1-0_103069_2020-06-28_final
2020-06-28 10:05:57	ga_ls7e_ard_3-1-0_103070_2020-06-28_final
2020-07-01 10:36:17	ga_ls7e_ard_3-1-0_108069_2020-07-01_final
2020-07-02 09:40:36	ga_ls7e_ard_3-1-0_099069_2020-07-02_final
2020-07-03 10:23:48	ga_ls7e_ard_3-1-0_106069_2020-07-03_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