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
2004-08-16 09:52:09	ga_ls7e_ard_3-0-0_098068_2004-08-16_final
2004-08-16 09:52:33	ga_ls7e_ard_3-0-0_098069_2004-08-16_final
2004-08-28 10:16:50	ga_ls7e_ard_3-0-0_102068_2004-08-28_final
2004-08-28 10:17:14	ga_ls7e_ard_3-0-0_102069_2004-08-28_final
2004-08-31 09:08:50	ga_ls7e_ard_3-1-0_091068_2004-08-30_final
2004-09-01 09:52:05	ga_ls7e_ard_3-0-0_098068_2004-09-01_final
2004-09-01 09:52:29	ga_ls7e_ard_3-0-0_098069_2004-09-01_final
2004-10-03 09:51:55	ga_ls7e_ard_3-0-0_098068_2004-10-03_final
2004-10-03 09:52:19	ga_ls7e_ard_3-0-0_098069_2004-10-03_final
2004-10-04 10:35:10	ga_ls7e_ard_3-0-0_105068_2004-10-04_final
2004-10-04 10:35:34	ga_ls7e_ard_3-0-0_105069_2004-10-04_final
2004-10-10 09:58:02	ga_ls7e_ard_3-0-0_099068_2004-10-10_final
2004-10-10 09:58:26	ga_ls7e_ard_3-0-0_099069_2004-10-10_final
2005-03-02 10:55:14	ga_ls7e_ard_3-0-0_108069_2005-03-02_final
2005-03-03 09:59:13	ga_ls7e_ard_3-0-0_099068_2005-03-03_final
2005-03-03 09:59:37	ga_ls7e_ard_3-0-0_099069_2005-03-03_final
2014-04-22 10:00:31	ga_ls7e_ard_3-0-0_098068_2014-04-22_final
2014-04-23 10:43:47	ga_ls7e_ard_3-0-0_105068_2014-04-23_final
2014-04-25 10:31:27	ga_ls7e_ard_3-0-0_103068_2014-04-25_final
2014-05-31 10:06:55	ga_ls7e_ard_3-0-0_099068_2014-05-31_final
2014-06-01 10:50:11	ga_ls7e_ard_3-0-0_106068_2014-06-01_final
2014-06-03 10:37:50	ga_ls7e_ard_3-0-0_104068_2014-06-03_final
2014-06-03 10:38:13	ga_ls7e_ard_3-0-0_104069_2014-06-03_final
2014-07-27 10:00:57	ga_ls7e_ard_3-0-0_098068_2014-07-27_final
2014-07-28 10:44:13	ga_ls7e_ard_3-0-0_105068_2014-07-28_final
2014-07-30 10:31:53	ga_ls7e_ard_3-0-0_103068_2014-07-30_final
2014-08-20 10:50:26	ga_ls7e_ard_3-0-0_106068_2014-08-20_final
2014-08-20 10:50:49	ga_ls7e_ard_3-0-0_106069_2014-08-20_final
2014-08-21 09:55:12	ga_ls7e_ard_3-0-0_097069_2014-08-21_final
2014-08-22 10:38:03	ga_ls7e_ard_3-0-0_104068_2014-08-22_final
2014-08-23 11:21:19	ga_ls7e_ard_3-0-0_111068_2014-08-23_final
2014-11-27 11:22:01	ga_ls7e_ard_3-0-0_111068_2014-11-27_final
2014-11-28 10:26:24	ga_ls7e_ard_3-0-0_102068_2014-11-28_final
2015-01-15 10:26:38	ga_ls7e_ard_3-0-0_102068_2015-01-15_final
2015-01-15 10:27:02	ga_ls7e_ard_3-0-0_102069_2015-01-15_final
2015-03-19 11:22:42	ga_ls7e_ard_3-0-0_111068_2015-03-19_final
2015-03-20 10:27:05	ga_ls7e_ard_3-0-0_102068_2015-03-20_final
2015-03-20 10:27:29	ga_ls7e_ard_3-0-0_102069_2015-03-20_final
2015-04-26 10:45:53	ga_ls7e_ard_3-0-0_105068_2015-04-26_final
2015-04-28 10:33:32	ga_ls7e_ard_3-0-0_103068_2015-04-28_final
2015-05-01 11:04:51	ga_ls7e_ard_3-0-0_108069_2015-05-01_final
2015-05-02 10:08:50	ga_ls7e_ard_3-0-0_099068_2015-05-02_final
2015-05-02 10:09:14	ga_ls7e_ard_3-0-0_099069_2015-05-02_final
2015-05-03 10:52:06	ga_ls7e_ard_3-0-0_106068_2015-05-03_final
2015-06-07 11:23:16	ga_ls7e_ard_3-0-0_111068_2015-06-07_final
2015-06-08 10:28:03	ga_ls7e_ard_3-0-0_102069_2015-06-08_final
2015-07-05 10:09:12	ga_ls7e_ard_3-0-0_099068_2015-07-05_final
2015-07-07 09:57:16	ga_ls7e_ard_3-0-0_097069_2015-07-07_final
2015-07-08 10:40:08	ga_ls7e_ard_3-0-0_104068_2015-07-08_final
2015-07-08 10:40:32	ga_ls7e_ard_3-0-0_104069_2015-07-08_final
2015-07-09 11:23:24	ga_ls7e_ard_3-0-0_111068_2015-07-09_final
2016-06-26 10:30:38	ga_ls7e_ard_3-0-0_102068_2016-06-26_final
2016-06-26 10:31:02	ga_ls7e_ard_3-0-0_102069_2016-06-26_final
2016-11-24 10:36:46	ga_ls7e_ard_3-0-0_103068_2016-11-24_final
2016-11-24 10:37:10	ga_ls7e_ard_3-0-0_103069_2016-11-24_final
2016-12-31 10:55:06	ga_ls7e_ard_3-0-0_106068_2016-12-31_final
2016-12-31 10:55:30	ga_ls7e_ard_3-0-0_106069_2016-12-31_final
2017-01-03 11:25:58	ga_ls7e_ard_3-0-0_111068_2017-01-03_final
2017-01-04 10:30:20	ga_ls7e_ard_3-0-0_102068_2017-01-04_final
2017-01-16 10:54:55	ga_ls7e_ard_3-0-0_106068_2017-01-16_final
2017-01-18 10:42:32	ga_ls7e_ard_3-0-0_104068_2017-01-18_final
2017-01-20 10:30:09	ga_ls7e_ard_3-0-0_102068_2017-01-20_final
2017-03-29 10:05:35	ga_ls7e_ard_3-0-0_098068_2017-03-29_final
2017-03-29 10:05:59	ga_ls7e_ard_3-0-0_098069_2017-03-29_final
2017-04-01 10:36:54	ga_ls7e_ard_3-0-0_103069_2017-04-01_final
2017-05-19 10:36:45	ga_ls7e_ard_3-0-0_103068_2017-05-19_final
2017-05-19 10:37:09	ga_ls7e_ard_3-0-0_103069_2017-05-19_final
2017-07-20 10:49:16	ga_ls7e_ard_3-0-0_105068_2017-07-20_final
2017-07-20 10:49:40	ga_ls7e_ard_3-0-0_105069_2017-07-20_final
2017-08-05 10:49:14	ga_ls7e_ard_3-0-0_105068_2017-08-05_final
2017-08-05 10:49:38	ga_ls7e_ard_3-0-0_105069_2017-08-05_final
2017-08-07 10:36:52	ga_ls7e_ard_3-0-0_103068_2017-08-07_final
2017-08-07 10:37:16	ga_ls7e_ard_3-0-0_103069_2017-08-07_final
2017-12-04 10:42:54	ga_ls7e_ard_3-0-0_104068_2017-12-04_final
2017-12-04 10:43:18	ga_ls7e_ard_3-0-0_104069_2017-12-04_final
2017-12-06 10:30:31	ga_ls7e_ard_3-0-0_102068_2017-12-06_final
2017-12-10 10:05:46	ga_ls7e_ard_3-0-0_098068_2017-12-10_final
2017-12-11 10:49:01	ga_ls7e_ard_3-0-0_105068_2017-12-11_final
2018-03-28 10:29:06	ga_ls7e_ard_3-0-0_102068_2018-03-28_final
2018-08-10 10:32:55	ga_ls7e_ard_3-0-0_103068_2018-08-10_final
2018-12-20 10:05:07	ga_ls7e_ard_3-0-0_099068_2018-12-20_final
2018-12-21 10:48:21	ga_ls7e_ard_3-0-0_106068_2018-12-21_final
2019-01-08 10:35:27	ga_ls7e_ard_3-0-0_104068_2019-01-08_final
2019-01-09 11:18:40	ga_ls7e_ard_3-0-0_111068_2019-01-09_final
2019-01-10 10:23:01	ga_ls7e_ard_3-0-0_102068_2019-01-10_final
2019-01-14 09:58:10	ga_ls7e_ard_3-0-0_098068_2019-01-14_final
2019-01-15 10:41:24	ga_ls7e_ard_3-0-0_105068_2019-01-15_final
2019-02-06 10:03:38	ga_ls7e_ard_3-0-0_099068_2019-02-06_final
2019-03-03 09:56:41	ga_ls7e_ard_3-1-0_098068_2019-03-03_final
2019-03-03 09:57:05	ga_ls7e_ard_3-1-0_098069_2019-03-03_final
2019-03-04 10:39:55	ga_ls7e_ard_3-1-0_105068_2019-03-04_final
2019-03-06 10:27:30	ga_ls7e_ard_3-1-0_103068_2019-03-06_final
2019-03-10 10:02:39	ga_ls7e_ard_3-1-0_099068_2019-03-10_final
2019-03-11 10:45:52	ga_ls7e_ard_3-1-0_106068_2019-03-11_final
2019-03-11 10:46:16	ga_ls7e_ard_3-1-0_106069_2019-03-11_final
2019-03-13 10:33:27	ga_ls7e_ard_3-1-0_104068_2019-03-13_final
2019-03-15 10:21:01	ga_ls7e_ard_3-1-0_102068_2019-03-15_final
2019-03-29 10:32:55	ga_ls7e_ard_3-1-0_104068_2019-03-29_final
2019-03-30 11:16:08	ga_ls7e_ard_3-0-0_111068_2019-03-30_final
2019-03-31 10:20:29	ga_ls7e_ard_3-0-0_102068_2019-03-31_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