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
1999-07-27 11:34:29	ga_ls7e_ard_3-0-0_113082_1999-07-27_final
2000-01-03 11:34:27	ga_ls7e_ard_3-0-0_113082_2000-01-03_final
2000-02-04 11:34:25	ga_ls7e_ard_3-0-0_113082_2000-02-04_final
2000-04-08 11:34:03	ga_ls7e_ard_3-0-0_113082_2000-04-08_final
2000-05-26 11:33:36	ga_ls7e_ard_3-0-0_113082_2000-05-26_final
2000-06-27 11:33:20	ga_ls7e_ard_3-0-0_113082_2000-06-27_final
2000-07-29 11:32:50	ga_ls7e_ard_3-0-0_113082_2000-07-29_final
2000-08-30 11:32:33	ga_ls7e_ard_3-0-0_113082_2000-08-30_final
2000-12-04 11:31:58	ga_ls7e_ard_3-0-0_113082_2000-12-04_final
2001-03-10 11:31:58	ga_ls7e_ard_3-0-0_113082_2001-03-10_final
2001-04-27 11:31:43	ga_ls7e_ard_3-0-0_113082_2001-04-27_final
2001-07-16 11:30:59	ga_ls7e_ard_3-0-0_113082_2001-07-16_final
2003-01-11 11:30:01	ga_ls7e_ard_3-0-0_113082_2003-01-11_final
2004-01-14 11:30:33	ga_ls7e_ard_3-0-0_113082_2004-01-14_final
2004-09-10 11:30:19	ga_ls7e_ard_3-0-0_113082_2004-09-10_final
2005-04-22 11:31:10	ga_ls7e_ard_3-0-0_113082_2005-04-22_final
2006-04-09 11:31:41	ga_ls7e_ard_3-0-0_113082_2006-04-09_final
2006-05-27 11:31:42	ga_ls7e_ard_3-0-0_113082_2006-05-27_final
2006-07-14 11:31:26	ga_ls7e_ard_3-0-0_113082_2006-07-14_final
2006-11-19 11:31:37	ga_ls7e_ard_3-0-0_113082_2006-11-19_final
2008-04-12 10:03:15	ga_ls7e_ard_3-0-0_099077_2008-04-12_final
2008-08-18 10:02:16	ga_ls7e_ard_3-0-0_099077_2008-08-18_final
2009-02-26 10:03:08	ga_ls7e_ard_3-0-0_099077_2009-02-26_final
2009-07-20 10:03:25	ga_ls7e_ard_3-0-0_099077_2009-07-20_final
2009-09-22 10:03:16	ga_ls7e_ard_3-0-0_099077_2009-09-22_final
2009-11-09 10:03:39	ga_ls7e_ard_3-0-0_099077_2009-11-09_final
2009-11-25 10:03:51	ga_ls7e_ard_3-0-0_099077_2009-11-25_final
2010-03-17 10:05:16	ga_ls7e_ard_3-0-0_099077_2010-03-17_final
2010-05-04 10:05:18	ga_ls7e_ard_3-0-0_099077_2010-05-04_final
2010-09-09 10:05:24	ga_ls7e_ard_3-0-0_099077_2010-09-09_final
2010-10-11 10:05:27	ga_ls7e_ard_3-0-0_099077_2010-10-11_final
2010-12-30 10:06:16	ga_ls7e_ard_3-0-0_099077_2010-12-30_final
2012-03-06 10:07:13	ga_ls7e_ard_3-0-0_099077_2012-03-06_final
2012-08-29 10:08:22	ga_ls7e_ard_3-0-0_099077_2012-08-29_final
2013-12-24 11:38:01	ga_ls7e_ard_3-0-0_113082_2013-12-24_final
2014-01-25 11:38:24	ga_ls7e_ard_3-0-0_113082_2014-01-25_final
2014-02-10 11:38:29	ga_ls7e_ard_3-0-0_113082_2014-02-10_final
2014-10-08 11:39:35	ga_ls7e_ard_3-0-0_113082_2014-10-08_final
2015-03-01 11:40:30	ga_ls7e_ard_3-0-0_113082_2015-03-01_final
2015-09-23 10:13:05	ga_ls7e_ard_3-0-0_099077_2015-09-23_final
2015-11-10 10:13:44	ga_ls7e_ard_3-0-0_099077_2015-11-10_final
2015-12-12 10:14:14	ga_ls7e_ard_3-0-0_099077_2015-12-12_final
2015-12-14 11:42:48	ga_ls7e_ard_3-0-0_113082_2015-12-14_final
2015-12-28 10:14:27	ga_ls7e_ard_3-0-0_099077_2015-12-28_final
2016-01-15 11:43:16	ga_ls7e_ard_3-0-0_113082_2016-01-15_final
2016-03-03 11:43:37	ga_ls7e_ard_3-0-0_113082_2016-03-03_final
2016-04-18 10:15:24	ga_ls7e_ard_3-0-0_099077_2016-04-18_final
2016-04-20 11:43:57	ga_ls7e_ard_3-0-0_113082_2016-04-20_final
2016-05-06 11:44:02	ga_ls7e_ard_3-0-0_113082_2016-05-06_final
2016-06-07 11:44:10	ga_ls7e_ard_3-0-0_113082_2016-06-07_final
2016-08-24 10:15:46	ga_ls7e_ard_3-0-0_099077_2016-08-24_final
2016-09-09 10:15:49	ga_ls7e_ard_3-0-0_099077_2016-09-09_final
2016-10-11 10:15:52	ga_ls7e_ard_3-0-0_099077_2016-10-11_final
2016-10-13 11:44:23	ga_ls7e_ard_3-0-0_113082_2016-10-13_final
2016-11-12 10:15:41	ga_ls7e_ard_3-0-0_099077_2016-11-12_final
2016-11-14 11:44:11	ga_ls7e_ard_3-0-0_113082_2016-11-14_final
2016-11-28 10:15:38	ga_ls7e_ard_3-0-0_099077_2016-11-28_final
2016-12-14 10:15:34	ga_ls7e_ard_3-0-0_099077_2016-12-14_final
2017-01-31 10:15:07	ga_ls7e_ard_3-0-0_099077_2017-01-31_final
2017-03-04 10:15:13	ga_ls7e_ard_3-0-0_099077_2017-03-04_final
2017-04-07 11:43:55	ga_ls7e_ard_3-0-0_113082_2017-04-07_final
2017-04-21 10:15:30	ga_ls7e_ard_3-0-0_099077_2017-04-21_final
2017-05-23 10:15:37	ga_ls7e_ard_3-0-0_099077_2017-05-23_final
2017-06-24 10:15:46	ga_ls7e_ard_3-0-0_099077_2017-06-24_final
2017-06-26 11:44:17	ga_ls7e_ard_3-0-0_113082_2017-06-26_final
2017-07-12 11:44:18	ga_ls7e_ard_3-0-0_113082_2017-07-12_final
2017-07-26 10:15:46	ga_ls7e_ard_3-0-0_099077_2017-07-26_final
2017-08-29 11:44:15	ga_ls7e_ard_3-0-0_113082_2017-08-29_final
2017-09-12 10:15:43	ga_ls7e_ard_3-0-0_099077_2017-09-12_final
2017-10-14 10:15:45	ga_ls7e_ard_3-0-0_099077_2017-10-14_final
2017-10-30 10:15:45	ga_ls7e_ard_3-0-0_099077_2017-10-30_final
2017-11-15 10:15:43	ga_ls7e_ard_3-0-0_099077_2017-11-15_final
2017-12-03 11:44:07	ga_ls7e_ard_3-0-0_113082_2017-12-03_final
2018-01-02 10:15:16	ga_ls7e_ard_3-0-0_099077_2018-01-02_final
2018-01-04 11:43:46	ga_ls7e_ard_3-0-0_113082_2018-01-04_final
2018-01-18 10:15:02	ga_ls7e_ard_3-0-0_099077_2018-01-18_final
2018-02-03 10:14:47	ga_ls7e_ard_3-0-0_099077_2018-02-03_final
2018-02-05 11:43:16	ga_ls7e_ard_3-0-0_113082_2018-02-05_final
2018-02-19 10:14:36	ga_ls7e_ard_3-0-0_099077_2018-02-19_final
2018-02-21 11:43:06	ga_ls7e_ard_3-0-0_113082_2018-02-21_final
2018-05-26 10:13:10	ga_ls7e_ard_3-0-0_099077_2018-05-26_final
2018-06-11 10:12:54	ga_ls7e_ard_3-0-0_099077_2018-06-11_final
2018-06-27 10:12:36	ga_ls7e_ard_3-0-0_099077_2018-06-27_final
2018-07-13 10:12:17	ga_ls7e_ard_3-0-0_099077_2018-07-13_final
2018-08-14 10:11:43	ga_ls7e_ard_3-0-0_099077_2018-08-14_final
2018-09-01 11:39:52	ga_ls7e_ard_3-0-0_113082_2018-09-01_final
2018-11-04 11:38:24	ga_ls7e_ard_3-0-0_113082_2018-11-04_final
2018-11-18 10:09:33	ga_ls7e_ard_3-0-0_099077_2018-11-18_final
2018-12-04 10:09:09	ga_ls7e_ard_3-0-0_099077_2018-12-04_final
2018-12-22 11:37:10	ga_ls7e_ard_3-0-0_113082_2018-12-22_final
2019-01-21 10:07:43	ga_ls7e_ard_3-0-0_099077_2019-01-21_final
2019-01-23 11:36:10	ga_ls7e_ard_3-0-0_113082_2019-01-23_final
2019-04-11 10:05:09	ga_ls7e_ard_3-0-0_099077_2019-04-11_final
2019-04-27 10:04:34	ga_ls7e_ard_3-0-0_099077_2019-04-27_final
2019-05-13 10:03:57	ga_ls7e_ard_3-0-0_099077_2019-05-13_final
2019-05-15 11:32:23	ga_ls7e_ard_3-0-0_113082_2019-05-15_final
2019-07-16 10:01:34	ga_ls7e_ard_3-0-0_099077_2019-07-16_final
2019-08-01 10:00:55	ga_ls7e_ard_3-0-0_099077_2019-08-01_final
2019-08-03 11:29:21	ga_ls7e_ard_3-0-0_113082_2019-08-03_final
2019-08-17 10:00:15	ga_ls7e_ard_3-0-0_099077_2019-08-17_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