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
2010-04-18 11:43:01	ga_ls7e_ard_3-0-0_115074_2010-04-18_final
2010-07-23 11:43:02	ga_ls7e_ard_3-0-0_115074_2010-07-23_final
2010-08-24 11:43:04	ga_ls7e_ard_3-0-0_115074_2010-08-24_final
2010-12-23 11:38:54	ga_ls7e_ard_3-0-0_114077_2010-12-23_final
2011-05-23 11:44:23	ga_ls7e_ard_3-0-0_115074_2011-05-23_final
2012-01-02 11:44:49	ga_ls7e_ard_3-0-0_115074_2012-01-02_final
2012-09-30 11:46:24	ga_ls7e_ard_3-0-0_115074_2012-09-30_final
2012-10-16 11:46:33	ga_ls7e_ard_3-0-0_115074_2012-10-16_final
2012-11-01 11:46:39	ga_ls7e_ard_3-0-0_115074_2012-11-01_final
2012-12-19 11:46:55	ga_ls7e_ard_3-0-0_115074_2012-12-19_final
2013-06-29 11:46:21	ga_ls7e_ard_3-0-0_115074_2013-06-29_final
2013-08-16 11:46:06	ga_ls7e_ard_3-0-0_115074_2013-08-16_final
2013-09-01 11:46:17	ga_ls7e_ard_3-0-0_115074_2013-09-01_final
2013-09-17 11:46:28	ga_ls7e_ard_3-0-0_115074_2013-09-17_final
2013-10-03 11:46:39	ga_ls7e_ard_3-0-0_115074_2013-10-03_final
2013-10-19 11:46:51	ga_ls7e_ard_3-0-0_115074_2013-10-19_final
2013-11-04 11:46:55	ga_ls7e_ard_3-0-0_115074_2013-11-04_final
2014-03-12 11:47:37	ga_ls7e_ard_3-0-0_115074_2014-03-12_final
2014-06-16 11:48:12	ga_ls7e_ard_3-0-0_115074_2014-06-16_final
2014-09-20 11:48:31	ga_ls7e_ard_3-0-0_115074_2014-09-20_final
2014-11-07 11:49:02	ga_ls7e_ard_3-0-0_115074_2014-11-07_final
2014-12-09 11:49:12	ga_ls7e_ard_3-0-0_115074_2014-12-09_final
2015-03-15 11:49:46	ga_ls7e_ard_3-0-0_115074_2015-03-15_final
2015-08-06 11:50:37	ga_ls7e_ard_3-0-0_115074_2015-08-06_final
2015-09-07 11:50:41	ga_ls7e_ard_3-0-0_115074_2015-09-07_final
2015-11-26 11:51:40	ga_ls7e_ard_3-0-0_115074_2015-11-26_final
2015-12-28 11:52:08	ga_ls7e_ard_3-0-0_115074_2015-12-28_final
2016-06-05 11:53:19	ga_ls7e_ard_3-0-0_115074_2016-06-05_final
2016-08-24 11:53:28	ga_ls7e_ard_3-0-0_115074_2016-08-24_final
2016-09-02 11:48:31	ga_ls7e_ard_3-0-0_114077_2016-09-02_final
2016-09-18 11:48:33	ga_ls7e_ard_3-0-0_114077_2016-09-18_final
2016-09-25 11:53:33	ga_ls7e_ard_3-0-0_115074_2016-09-25_final
2016-10-04 11:48:35	ga_ls7e_ard_3-0-0_114077_2016-10-04_final
2016-10-20 11:48:33	ga_ls7e_ard_3-0-0_114077_2016-10-20_final
2016-10-27 11:53:30	ga_ls7e_ard_3-0-0_115074_2016-10-27_final
2016-11-05 11:48:27	ga_ls7e_ard_3-0-0_114077_2016-11-05_final
2016-12-07 11:48:18	ga_ls7e_ard_3-0-0_114077_2016-12-07_final
2016-12-23 11:48:12	ga_ls7e_ard_3-0-0_114077_2016-12-23_final
2016-12-30 11:53:08	ga_ls7e_ard_3-0-0_115074_2016-12-30_final
2017-01-08 11:48:03	ga_ls7e_ard_3-0-0_114077_2017-01-08_final
2017-01-24 11:47:52	ga_ls7e_ard_3-0-0_114077_2017-01-24_final
2017-02-16 11:52:46	ga_ls7e_ard_3-0-0_115074_2017-02-16_final
2017-03-13 11:47:59	ga_ls7e_ard_3-0-0_114077_2017-03-13_final
2017-03-20 11:53:00	ga_ls7e_ard_3-0-0_115074_2017-03-20_final
2017-04-14 11:48:09	ga_ls7e_ard_3-0-0_114077_2017-04-14_final
2017-04-30 11:48:16	ga_ls7e_ard_3-0-0_114077_2017-04-30_final
2017-05-07 11:53:16	ga_ls7e_ard_3-0-0_115074_2017-05-07_final
2017-06-17 11:48:27	ga_ls7e_ard_3-0-0_114077_2017-06-17_final
2017-07-03 11:48:29	ga_ls7e_ard_3-0-0_114077_2017-07-03_final
2017-07-10 11:53:28	ga_ls7e_ard_3-0-0_115074_2017-07-10_final
2017-07-19 11:48:29	ga_ls7e_ard_3-0-0_114077_2017-07-19_final
2017-07-26 11:53:27	ga_ls7e_ard_3-0-0_115074_2017-07-26_final
2017-08-04 11:48:27	ga_ls7e_ard_3-0-0_114077_2017-08-04_final
2017-08-11 11:53:25	ga_ls7e_ard_3-0-0_115074_2017-08-11_final
2017-08-20 11:48:26	ga_ls7e_ard_3-0-0_114077_2017-08-20_final
2017-08-27 11:53:25	ga_ls7e_ard_3-0-0_115074_2017-08-27_final
2017-09-05 11:48:26	ga_ls7e_ard_3-0-0_114077_2017-09-05_final
2017-09-28 11:53:24	ga_ls7e_ard_3-0-0_115074_2017-09-28_final
2017-10-07 11:48:26	ga_ls7e_ard_3-0-0_114077_2017-10-07_final
2017-10-23 11:48:28	ga_ls7e_ard_3-0-0_114077_2017-10-23_final
2017-11-08 11:48:27	ga_ls7e_ard_3-0-0_114077_2017-11-08_final
2017-11-24 11:48:22	ga_ls7e_ard_3-0-0_114077_2017-11-24_final
2017-12-17 11:53:09	ga_ls7e_ard_3-0-0_115074_2017-12-17_final
2018-01-02 11:52:58	ga_ls7e_ard_3-0-0_115074_2018-01-02_final
2018-01-11 11:47:51	ga_ls7e_ard_3-0-0_114077_2018-01-11_final
2018-02-28 11:47:12	ga_ls7e_ard_3-0-0_114077_2018-02-28_final
2018-03-16 11:47:01	ga_ls7e_ard_3-0-0_114077_2018-03-16_final
2018-03-23 11:51:54	ga_ls7e_ard_3-0-0_115074_2018-03-23_final
2018-04-01 11:46:47	ga_ls7e_ard_3-0-0_114077_2018-04-01_final
2018-04-17 11:46:32	ga_ls7e_ard_3-0-0_114077_2018-04-17_final
2018-05-26 11:50:52	ga_ls7e_ard_3-0-0_115074_2018-05-26_final
2018-06-04 11:45:44	ga_ls7e_ard_3-0-0_114077_2018-06-04_final
2018-06-20 11:45:26	ga_ls7e_ard_3-0-0_114077_2018-06-20_final
2018-07-06 11:45:07	ga_ls7e_ard_3-0-0_114077_2018-07-06_final
2018-07-13 11:49:58	ga_ls7e_ard_3-0-0_115074_2018-07-13_final
2018-07-22 11:44:50	ga_ls7e_ard_3-0-0_114077_2018-07-22_final
2018-07-29 11:49:42	ga_ls7e_ard_3-0-0_115074_2018-07-29_final
2018-08-07 11:44:33	ga_ls7e_ard_3-0-0_114077_2018-08-07_final
2018-08-14 11:49:24	ga_ls7e_ard_3-0-0_115074_2018-08-14_final
2018-08-23 11:44:14	ga_ls7e_ard_3-0-0_114077_2018-08-23_final
2018-08-30 11:49:05	ga_ls7e_ard_3-0-0_115074_2018-08-30_final
2018-09-08 11:43:54	ga_ls7e_ard_3-0-0_114077_2018-09-08_final
2018-09-24 11:43:32	ga_ls7e_ard_3-0-0_114077_2018-09-24_final
2018-10-01 11:48:21	ga_ls7e_ard_3-0-0_115074_2018-10-01_final
2018-10-10 11:43:09	ga_ls7e_ard_3-0-0_114077_2018-10-10_final
2018-10-26 11:42:47	ga_ls7e_ard_3-0-0_114077_2018-10-26_final
2018-11-11 11:42:26	ga_ls7e_ard_3-0-0_114077_2018-11-11_final
2018-11-18 11:47:15	ga_ls7e_ard_3-0-0_115074_2018-11-18_final
2018-12-04 11:46:50	ga_ls7e_ard_3-0-0_115074_2018-12-04_final
2018-12-13 11:41:36	ga_ls7e_ard_3-0-0_114077_2018-12-13_final
2019-01-05 11:45:55	ga_ls7e_ard_3-0-0_115074_2019-01-05_final
2019-01-21 11:45:24	ga_ls7e_ard_3-0-0_115074_2019-01-21_final
2019-01-30 11:40:07	ga_ls7e_ard_3-0-0_114077_2019-01-30_final
2019-02-06 11:44:54	ga_ls7e_ard_3-0-0_115074_2019-02-06_final
2019-02-15 11:39:39	ga_ls7e_ard_3-0-0_114077_2019-02-15_final
2019-04-04 11:38:06	ga_ls7e_ard_3-0-0_114077_2019-04-04_final
2019-04-20 11:37:31	ga_ls7e_ard_3-0-0_114077_2019-04-20_final
2019-04-27 11:42:15	ga_ls7e_ard_3-0-0_115074_2019-04-27_final
2019-05-06 11:36:55	ga_ls7e_ard_3-0-0_114077_2019-05-06_final
2019-05-22 11:36:17	ga_ls7e_ard_3-0-0_114077_2019-05-22_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