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:

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First 100 results (query limit)

Time (local)	Label
2006-06-03 11:34:40	ga_ls7e_ard_3-0-0_114074_2006-06-03_final
2009-12-11 11:42:55	ga_ls7e_ard_3-0-0_115077_2009-12-11_final
2010-04-18 11:44:13	ga_ls7e_ard_3-0-0_115077_2010-04-18_final
2010-05-04 11:44:11	ga_ls7e_ard_3-0-0_115077_2010-05-04_final
2010-06-21 11:44:10	ga_ls7e_ard_3-0-0_115077_2010-06-21_final
2010-07-07 11:44:13	ga_ls7e_ard_3-0-0_115077_2010-07-07_final
2011-02-16 11:45:27	ga_ls7e_ard_3-0-0_115077_2011-02-16_final
2011-06-24 11:45:33	ga_ls7e_ard_3-0-0_115077_2011-06-24_final
2011-08-04 11:38:04	ga_ls7e_ard_3-0-0_114074_2011-08-04_final
2011-08-27 11:45:23	ga_ls7e_ard_3-0-0_115077_2011-08-27_final
2011-09-28 11:45:14	ga_ls7e_ard_3-0-0_115077_2011-09-28_final
2012-01-02 11:46:01	ga_ls7e_ard_3-0-0_115077_2012-01-02_final
2012-03-06 11:46:06	ga_ls7e_ard_3-0-0_115077_2012-03-06_final
2012-08-22 11:39:50	ga_ls7e_ard_3-0-0_114074_2012-08-22_final
2012-10-09 11:40:16	ga_ls7e_ard_3-0-0_114074_2012-10-09_final
2013-03-02 11:40:46	ga_ls7e_ard_3-0-0_114074_2013-03-02_final
2013-03-18 11:40:44	ga_ls7e_ard_3-0-0_114074_2013-03-18_final
2013-04-26 11:47:55	ga_ls7e_ard_3-0-0_115077_2013-04-26_final
2013-05-05 11:40:31	ga_ls7e_ard_3-0-0_114074_2013-05-05_final
2013-09-26 11:40:22	ga_ls7e_ard_3-0-0_114074_2013-09-26_final
2013-10-03 11:47:51	ga_ls7e_ard_3-0-0_115077_2013-10-03_final
2013-10-12 11:40:36	ga_ls7e_ard_3-0-0_114074_2013-10-12_final
2013-10-19 11:48:02	ga_ls7e_ard_3-0-0_115077_2013-10-19_final
2013-11-13 11:40:48	ga_ls7e_ard_3-0-0_114074_2013-11-13_final
2013-12-15 11:40:58	ga_ls7e_ard_3-0-0_114074_2013-12-15_final
2014-04-22 11:41:48	ga_ls7e_ard_3-0-0_114074_2014-04-22_final
2014-06-25 11:42:05	ga_ls7e_ard_3-0-0_114074_2014-06-25_final
2014-09-13 11:42:15	ga_ls7e_ard_3-0-0_114074_2014-09-13_final
2014-10-15 11:42:36	ga_ls7e_ard_3-0-0_114074_2014-10-15_final
2014-11-07 11:50:14	ga_ls7e_ard_3-0-0_115077_2014-11-07_final
2014-12-25 11:50:32	ga_ls7e_ard_3-0-0_115077_2014-12-25_final
2015-04-16 11:51:13	ga_ls7e_ard_3-0-0_115077_2015-04-16_final
2015-06-28 11:44:15	ga_ls7e_ard_3-0-0_114074_2015-06-28_final
2015-07-05 11:51:41	ga_ls7e_ard_3-0-0_115077_2015-07-05_final
2015-08-15 11:44:28	ga_ls7e_ard_3-0-0_114074_2015-08-15_final
2015-09-23 11:51:58	ga_ls7e_ard_3-0-0_115077_2015-09-23_final
2016-01-06 11:46:07	ga_ls7e_ard_3-0-0_114074_2016-01-06_final
2016-02-23 11:46:30	ga_ls7e_ard_3-0-0_114074_2016-02-23_final
2016-07-16 11:47:11	ga_ls7e_ard_3-0-0_114074_2016-07-16_final
2016-08-01 11:47:14	ga_ls7e_ard_3-0-0_114074_2016-08-01_final
2016-08-24 11:54:40	ga_ls7e_ard_3-0-0_115077_2016-08-24_final
2016-12-23 11:47:01	ga_ls7e_ard_3-0-0_114074_2016-12-23_final
2017-03-29 11:46:52	ga_ls7e_ard_3-0-0_114074_2017-03-29_final
2017-04-14 11:46:58	ga_ls7e_ard_3-0-0_114074_2017-04-14_final
2017-04-30 11:47:04	ga_ls7e_ard_3-0-0_114074_2017-04-30_final
2017-05-16 11:47:07	ga_ls7e_ard_3-0-0_114074_2017-05-16_final
2017-05-23 11:54:30	ga_ls7e_ard_3-0-0_115077_2017-05-23_final
2017-06-01 11:47:11	ga_ls7e_ard_3-0-0_114074_2017-06-01_final
2017-06-17 11:47:15	ga_ls7e_ard_3-0-0_114074_2017-06-17_final
2017-07-03 11:47:17	ga_ls7e_ard_3-0-0_114074_2017-07-03_final
2017-08-04 11:47:15	ga_ls7e_ard_3-0-0_114074_2017-08-04_final
2017-08-11 11:54:37	ga_ls7e_ard_3-0-0_115077_2017-08-11_final
2017-08-20 11:47:14	ga_ls7e_ard_3-0-0_114074_2017-08-20_final
2017-09-05 11:47:14	ga_ls7e_ard_3-0-0_114074_2017-09-05_final
2017-09-21 11:47:12	ga_ls7e_ard_3-0-0_114074_2017-09-21_final
2017-10-07 11:47:14	ga_ls7e_ard_3-0-0_114074_2017-10-07_final
2017-10-23 11:47:16	ga_ls7e_ard_3-0-0_114074_2017-10-23_final
2017-11-08 11:47:15	ga_ls7e_ard_3-0-0_114074_2017-11-08_final
2017-11-24 11:47:10	ga_ls7e_ard_3-0-0_114074_2017-11-24_final
2017-12-10 11:47:03	ga_ls7e_ard_3-0-0_114074_2017-12-10_final
2017-12-26 11:46:52	ga_ls7e_ard_3-0-0_114074_2017-12-26_final
2018-01-11 11:46:39	ga_ls7e_ard_3-0-0_114074_2018-01-11_final
2018-01-27 11:46:24	ga_ls7e_ard_3-0-0_114074_2018-01-27_final
2018-02-12 11:46:10	ga_ls7e_ard_3-0-0_114074_2018-02-12_final
2018-02-28 11:46:01	ga_ls7e_ard_3-0-0_114074_2018-02-28_final
2018-03-16 11:45:49	ga_ls7e_ard_3-0-0_114074_2018-03-16_final
2018-04-01 11:45:36	ga_ls7e_ard_3-0-0_114074_2018-04-01_final
2018-04-17 11:45:20	ga_ls7e_ard_3-0-0_114074_2018-04-17_final
2018-04-24 11:52:35	ga_ls7e_ard_3-0-0_115077_2018-04-24_final
2018-05-03 11:45:03	ga_ls7e_ard_3-0-0_114074_2018-05-03_final
2018-05-19 11:44:47	ga_ls7e_ard_3-0-0_114074_2018-05-19_final
2018-05-26 11:52:03	ga_ls7e_ard_3-0-0_115077_2018-05-26_final
2018-06-04 11:44:32	ga_ls7e_ard_3-0-0_114074_2018-06-04_final
2018-06-20 11:44:14	ga_ls7e_ard_3-0-0_114074_2018-06-20_final
2018-07-06 11:43:55	ga_ls7e_ard_3-0-0_114074_2018-07-06_final
2018-07-22 11:43:38	ga_ls7e_ard_3-0-0_114074_2018-07-22_final
2018-08-07 11:43:21	ga_ls7e_ard_3-0-0_114074_2018-08-07_final
2018-08-23 11:43:02	ga_ls7e_ard_3-0-0_114074_2018-08-23_final
2018-09-08 11:42:42	ga_ls7e_ard_3-0-0_114074_2018-09-08_final
2018-09-15 11:49:56	ga_ls7e_ard_3-0-0_115077_2018-09-15_final
2018-09-24 11:42:20	ga_ls7e_ard_3-0-0_114074_2018-09-24_final
2018-10-10 11:41:57	ga_ls7e_ard_3-0-0_114074_2018-10-10_final
2018-10-17 11:49:09	ga_ls7e_ard_3-0-0_115077_2018-10-17_final
2018-10-26 11:41:35	ga_ls7e_ard_3-0-0_114074_2018-10-26_final
2018-11-11 11:41:14	ga_ls7e_ard_3-0-0_114074_2018-11-11_final
2018-11-18 11:48:26	ga_ls7e_ard_3-0-0_115077_2018-11-18_final
2018-11-27 11:40:50	ga_ls7e_ard_3-0-0_114074_2018-11-27_final
2018-12-13 11:40:25	ga_ls7e_ard_3-0-0_114074_2018-12-13_final
2018-12-29 11:39:57	ga_ls7e_ard_3-0-0_114074_2018-12-29_final
2019-01-14 11:39:27	ga_ls7e_ard_3-0-0_114074_2019-01-14_final
2019-01-30 11:38:55	ga_ls7e_ard_3-0-0_114074_2019-01-30_final
2019-02-15 11:38:28	ga_ls7e_ard_3-0-0_114074_2019-02-15_final
2019-04-04 11:36:54	ga_ls7e_ard_3-0-0_114074_2019-04-04_final
2019-04-20 11:36:20	ga_ls7e_ard_3-0-0_114074_2019-04-20_final
2019-05-06 11:35:43	ga_ls7e_ard_3-0-0_114074_2019-05-06_final
2019-05-22 11:35:05	ga_ls7e_ard_3-0-0_114074_2019-05-22_final
2019-06-07 11:34:32	ga_ls7e_ard_3-0-0_114074_2019-06-07_final
2019-06-23 11:33:57	ga_ls7e_ard_3-0-0_114074_2019-06-23_final
2019-07-09 11:33:20	ga_ls7e_ard_3-0-0_114074_2019-07-09_final
2019-07-25 11:32:42	ga_ls7e_ard_3-0-0_114074_2019-07-25_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