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
2001-12-25 09:37:53	ga_ls7e_ard_3-0-0_095079_2001-12-25_final
2003-02-26 11:41:27	ga_ls7e_ard_3-0-0_115079_2003-02-26_final
2003-03-14 11:41:32	ga_ls7e_ard_3-0-0_115079_2003-03-14_final
2004-03-16 11:42:04	ga_ls7e_ard_3-0-0_115079_2004-03-16_final
2004-12-29 11:42:08	ga_ls7e_ard_3-0-0_115079_2004-12-29_final
2005-07-25 11:42:13	ga_ls7e_ard_3-0-0_115079_2005-07-25_final
2005-08-10 11:42:10	ga_ls7e_ard_3-0-0_115079_2005-08-10_final
2010-08-08 11:45:00	ga_ls7e_ard_3-0-0_115079_2010-08-08_final
2010-11-12 11:45:29	ga_ls7e_ard_3-0-0_115079_2010-11-12_final
2010-12-30 11:45:57	ga_ls7e_ard_3-0-0_115079_2010-12-30_final
2011-02-16 11:46:14	ga_ls7e_ard_3-0-0_115079_2011-02-16_final
2011-03-04 11:46:20	ga_ls7e_ard_3-0-0_115079_2011-03-04_final
2011-04-05 11:46:25	ga_ls7e_ard_3-0-0_115079_2011-04-05_final
2011-04-21 11:46:24	ga_ls7e_ard_3-0-0_115079_2011-04-21_final
2011-05-07 11:46:25	ga_ls7e_ard_3-0-0_115079_2011-05-07_final
2011-06-08 11:46:24	ga_ls7e_ard_3-0-0_115079_2011-06-08_final
2011-08-27 11:46:11	ga_ls7e_ard_3-0-0_115079_2011-08-27_final
2011-10-14 11:46:03	ga_ls7e_ard_3-0-0_115079_2011-10-14_final
2011-10-30 11:46:10	ga_ls7e_ard_3-0-0_115079_2011-10-30_final
2011-11-15 11:46:22	ga_ls7e_ard_3-0-0_115079_2011-11-15_final
2011-12-01 11:46:32	ga_ls7e_ard_3-0-0_115079_2011-12-01_final
2012-02-19 11:46:56	ga_ls7e_ard_3-0-0_115079_2012-02-19_final
2012-03-06 11:46:54	ga_ls7e_ard_3-0-0_115079_2012-03-06_final
2012-04-07 11:46:52	ga_ls7e_ard_3-0-0_115079_2012-04-07_final
2012-06-10 11:47:10	ga_ls7e_ard_3-0-0_115079_2012-06-10_final
2012-07-28 11:47:43	ga_ls7e_ard_3-0-0_115079_2012-07-28_final
2012-08-13 11:47:55	ga_ls7e_ard_3-0-0_115079_2012-08-13_final
2012-09-30 11:48:24	ga_ls7e_ard_3-0-0_115079_2012-09-30_final
2012-11-01 11:48:39	ga_ls7e_ard_3-0-0_115079_2012-11-01_final
2012-11-17 11:48:46	ga_ls7e_ard_3-0-0_115079_2012-11-17_final
2013-01-04 11:48:58	ga_ls7e_ard_3-0-0_115079_2013-01-04_final
2013-01-20 11:48:58	ga_ls7e_ard_3-0-0_115079_2013-01-20_final
2013-02-05 11:49:01	ga_ls7e_ard_3-0-0_115079_2013-02-05_final
2015-09-07 11:52:41	ga_ls7e_ard_3-0-0_115079_2015-09-07_final
2015-10-25 11:53:10	ga_ls7e_ard_3-0-0_115079_2015-10-25_final
2015-10-29 09:49:37	ga_ls7e_ard_3-0-0_095079_2015-10-29_final
2015-11-10 11:53:25	ga_ls7e_ard_3-0-0_115079_2015-11-10_final
2015-11-26 11:53:40	ga_ls7e_ard_3-0-0_115079_2015-11-26_final
2015-12-12 11:53:56	ga_ls7e_ard_3-0-0_115079_2015-12-12_final
2015-12-28 11:54:08	ga_ls7e_ard_3-0-0_115079_2015-12-28_final
2016-01-13 11:54:24	ga_ls7e_ard_3-0-0_115079_2016-01-13_final
2016-02-14 11:54:40	ga_ls7e_ard_3-0-0_115079_2016-02-14_final
2016-03-17 11:54:54	ga_ls7e_ard_3-0-0_115079_2016-03-17_final
2016-04-02 11:54:58	ga_ls7e_ard_3-0-0_115079_2016-04-02_final
2016-04-18 11:55:05	ga_ls7e_ard_3-0-0_115079_2016-04-18_final
2016-05-04 11:55:11	ga_ls7e_ard_3-0-0_115079_2016-05-04_final
2016-05-20 11:55:13	ga_ls7e_ard_3-0-0_115079_2016-05-20_final
2016-07-07 11:55:22	ga_ls7e_ard_3-0-0_115079_2016-07-07_final
2016-07-23 11:55:24	ga_ls7e_ard_3-0-0_115079_2016-07-23_final
2016-09-09 11:55:30	ga_ls7e_ard_3-0-0_115079_2016-09-09_final
2016-09-25 11:55:33	ga_ls7e_ard_3-0-0_115079_2016-09-25_final
2016-10-11 11:55:33	ga_ls7e_ard_3-0-0_115079_2016-10-11_final
2016-10-27 11:55:30	ga_ls7e_ard_3-0-0_115079_2016-10-27_final
2016-11-12 11:55:22	ga_ls7e_ard_3-0-0_115079_2016-11-12_final
2016-11-28 11:55:19	ga_ls7e_ard_3-0-0_115079_2016-11-28_final
2016-12-14 11:55:15	ga_ls7e_ard_3-0-0_115079_2016-12-14_final
2016-12-30 11:55:08	ga_ls7e_ard_3-0-0_115079_2016-12-30_final
2017-01-15 11:54:57	ga_ls7e_ard_3-0-0_115079_2017-01-15_final
2017-01-31 11:54:48	ga_ls7e_ard_3-0-0_115079_2017-01-31_final
2017-03-20 11:55:00	ga_ls7e_ard_3-0-0_115079_2017-03-20_final
2017-04-05 11:55:03	ga_ls7e_ard_3-0-0_115079_2017-04-05_final
2017-04-21 11:55:11	ga_ls7e_ard_3-0-0_115079_2017-04-21_final
2017-05-07 11:55:16	ga_ls7e_ard_3-0-0_115079_2017-05-07_final
2017-05-23 11:55:18	ga_ls7e_ard_3-0-0_115079_2017-05-23_final
2017-06-08 11:55:23	ga_ls7e_ard_3-0-0_115079_2017-06-08_final
2017-06-24 11:55:27	ga_ls7e_ard_3-0-0_115079_2017-06-24_final
2017-07-10 11:55:28	ga_ls7e_ard_3-0-0_115079_2017-07-10_final
2017-09-28 11:55:24	ga_ls7e_ard_3-0-0_115079_2017-09-28_final
2017-10-14 11:55:26	ga_ls7e_ard_3-0-0_115079_2017-10-14_final
2017-10-30 11:55:26	ga_ls7e_ard_3-0-0_115079_2017-10-30_final
2017-11-15 11:55:24	ga_ls7e_ard_3-0-0_115079_2017-11-15_final
2018-01-02 11:54:57	ga_ls7e_ard_3-0-0_115079_2018-01-02_final
2018-01-18 11:54:43	ga_ls7e_ard_3-0-0_115079_2018-01-18_final
2018-02-03 11:54:28	ga_ls7e_ard_3-0-0_115079_2018-02-03_final
2018-02-19 11:54:17	ga_ls7e_ard_3-0-0_115079_2018-02-19_final
2018-03-07 11:54:06	ga_ls7e_ard_3-0-0_115079_2018-03-07_final
2018-03-23 11:53:54	ga_ls7e_ard_3-0-0_115079_2018-03-23_final
2018-04-08 11:53:40	ga_ls7e_ard_3-0-0_115079_2018-04-08_final
2018-04-24 11:53:23	ga_ls7e_ard_3-0-0_115079_2018-04-24_final
2018-05-10 11:53:06	ga_ls7e_ard_3-0-0_115079_2018-05-10_final
2018-05-26 11:52:51	ga_ls7e_ard_3-0-0_115079_2018-05-26_final
2018-06-11 11:52:35	ga_ls7e_ard_3-0-0_115079_2018-06-11_final
2018-06-27 11:52:17	ga_ls7e_ard_3-0-0_115079_2018-06-27_final
2018-07-29 11:51:41	ga_ls7e_ard_3-0-0_115079_2018-07-29_final
2018-08-30 11:51:04	ga_ls7e_ard_3-0-0_115079_2018-08-30_final
2018-09-03 09:47:23	ga_ls7e_ard_3-0-0_095079_2018-09-03_final
2018-09-15 11:50:43	ga_ls7e_ard_3-0-0_115079_2018-09-15_final
2018-10-17 11:49:57	ga_ls7e_ard_3-0-0_115079_2018-10-17_final
2018-11-02 11:49:37	ga_ls7e_ard_3-0-0_115079_2018-11-02_final
2018-11-18 11:49:14	ga_ls7e_ard_3-0-0_115079_2018-11-18_final
2018-12-04 11:48:50	ga_ls7e_ard_3-0-0_115079_2018-12-04_final
2018-12-20 11:48:23	ga_ls7e_ard_3-0-0_115079_2018-12-20_final
2019-01-05 11:47:54	ga_ls7e_ard_3-0-0_115079_2019-01-05_final
2019-01-21 11:47:24	ga_ls7e_ard_3-0-0_115079_2019-01-21_final
2019-02-06 11:46:54	ga_ls7e_ard_3-0-0_115079_2019-02-06_final
2019-04-27 11:44:14	ga_ls7e_ard_3-0-0_115079_2019-04-27_final
2019-05-13 11:43:38	ga_ls7e_ard_3-0-0_115079_2019-05-13_final
2019-06-14 11:42:27	ga_ls7e_ard_3-0-0_115079_2019-06-14_final
2019-06-30 11:41:52	ga_ls7e_ard_3-0-0_115079_2019-06-30_final
2019-07-16 11:41:14	ga_ls7e_ard_3-0-0_115079_2019-07-16_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