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
2009-09-26 09:40:08	ga_ls7e_ard_3-0-0_095081_2009-09-26_final
2010-04-22 09:42:12	ga_ls7e_ard_3-0-0_095081_2010-04-22_final
2010-05-24 09:42:06	ga_ls7e_ard_3-0-0_095081_2010-05-24_final
2010-06-25 09:42:10	ga_ls7e_ard_3-0-0_095081_2010-06-25_final
2011-02-04 09:43:24	ga_ls7e_ard_3-0-0_095081_2011-02-04_final
2011-06-12 09:43:35	ga_ls7e_ard_3-0-0_095081_2011-06-12_final
2011-08-15 09:43:24	ga_ls7e_ard_3-0-0_095081_2011-08-15_final
2011-10-18 09:43:18	ga_ls7e_ard_3-0-0_095081_2011-10-18_final
2012-01-06 09:44:01	ga_ls7e_ard_3-0-0_095081_2012-01-06_final
2012-01-22 09:44:00	ga_ls7e_ard_3-0-0_095081_2012-01-22_final
2012-03-10 09:44:05	ga_ls7e_ard_3-0-0_095081_2012-03-10_final
2012-03-26 09:44:07	ga_ls7e_ard_3-0-0_095081_2012-03-26_final
2012-04-11 09:44:02	ga_ls7e_ard_3-0-0_095081_2012-04-11_final
2012-05-13 09:44:42	ga_ls7e_ard_3-0-0_095081_2012-05-13_final
2012-05-29 09:44:29	ga_ls7e_ard_3-0-0_095081_2012-05-29_final
2012-08-01 09:44:56	ga_ls7e_ard_3-0-0_095081_2012-08-01_final
2012-08-17 09:45:09	ga_ls7e_ard_3-0-0_095081_2012-08-17_final
2012-09-02 09:45:19	ga_ls7e_ard_3-0-0_095081_2012-09-02_final
2013-01-24 09:46:11	ga_ls7e_ard_3-0-0_095081_2013-01-24_final
2013-04-14 09:46:00	ga_ls7e_ard_3-0-0_095081_2013-04-14_final
2013-04-30 09:45:54	ga_ls7e_ard_3-0-0_095081_2013-04-30_final
2013-05-16 09:45:52	ga_ls7e_ard_3-0-0_095081_2013-05-16_final
2013-06-17 09:45:39	ga_ls7e_ard_3-0-0_095081_2013-06-17_final
2013-08-04 09:45:15	ga_ls7e_ard_3-0-0_095081_2013-08-04_final
2013-10-23 09:46:03	ga_ls7e_ard_3-0-0_095081_2013-10-23_final
2013-11-08 09:46:09	ga_ls7e_ard_3-0-0_095081_2013-11-08_final
2013-12-26 09:46:24	ga_ls7e_ard_3-0-0_095081_2013-12-26_final
2014-01-11 09:46:28	ga_ls7e_ard_3-0-0_095081_2014-01-11_final
2014-02-12 09:46:49	ga_ls7e_ard_3-0-0_095081_2014-02-12_final
2014-03-16 09:46:52	ga_ls7e_ard_3-0-0_095081_2014-03-16_final
2014-04-01 09:46:58	ga_ls7e_ard_3-0-0_095081_2014-04-01_final
2014-04-17 09:47:06	ga_ls7e_ard_3-0-0_095081_2014-04-17_final
2014-05-19 09:47:20	ga_ls7e_ard_3-0-0_095081_2014-05-19_final
2014-07-06 09:47:31	ga_ls7e_ard_3-0-0_095081_2014-07-06_final
2014-10-26 09:48:06	ga_ls7e_ard_3-0-0_095081_2014-10-26_final
2014-11-27 09:48:19	ga_ls7e_ard_3-0-0_095081_2014-11-27_final
2014-12-13 09:48:27	ga_ls7e_ard_3-0-0_095081_2014-12-13_final
2015-01-30 09:48:39	ga_ls7e_ard_3-0-0_095081_2015-01-30_final
2015-03-03 09:48:52	ga_ls7e_ard_3-0-0_095081_2015-03-03_final
2015-05-22 09:49:27	ga_ls7e_ard_3-0-0_095081_2015-05-22_final
2015-07-25 09:49:45	ga_ls7e_ard_3-0-0_095081_2015-07-25_final
2015-09-11 09:49:54	ga_ls7e_ard_3-0-0_095081_2015-09-11_final
2015-10-13 09:50:09	ga_ls7e_ard_3-0-0_095081_2015-10-13_final
2015-10-29 09:50:25	ga_ls7e_ard_3-0-0_095081_2015-10-29_final
2015-11-30 09:50:54	ga_ls7e_ard_3-0-0_095081_2015-11-30_final
2016-04-22 09:52:19	ga_ls7e_ard_3-0-0_095081_2016-04-22_final
2016-05-24 09:52:27	ga_ls7e_ard_3-0-0_095081_2016-05-24_final
2016-06-09 09:52:32	ga_ls7e_ard_3-0-0_095081_2016-06-09_final
2016-06-25 09:50:34	ga_ls7e_ard_3-0-0_095076_2016-06-25_final
2016-08-12 09:50:37	ga_ls7e_ard_3-0-0_095076_2016-08-12_final
2016-09-13 09:50:42	ga_ls7e_ard_3-0-0_095076_2016-09-13_final
2016-10-15 09:50:45	ga_ls7e_ard_3-0-0_095076_2016-10-15_final
2016-10-15 09:52:44	ga_ls7e_ard_3-0-0_095081_2016-10-15_final
2016-10-31 09:52:40	ga_ls7e_ard_3-0-0_095081_2016-10-31_final
2016-12-02 09:50:30	ga_ls7e_ard_3-0-0_095076_2016-12-02_final
2016-12-18 09:50:25	ga_ls7e_ard_3-0-0_095076_2016-12-18_final
2017-01-03 09:50:16	ga_ls7e_ard_3-0-0_095076_2017-01-03_final
2017-02-04 09:49:59	ga_ls7e_ard_3-0-0_095076_2017-02-04_final
2017-02-04 09:51:59	ga_ls7e_ard_3-0-0_095081_2017-02-04_final
2017-02-20 09:50:00	ga_ls7e_ard_3-0-0_095076_2017-02-20_final
2017-03-08 09:52:07	ga_ls7e_ard_3-0-0_095081_2017-03-08_final
2017-03-24 09:52:13	ga_ls7e_ard_3-0-0_095081_2017-03-24_final
2017-04-09 09:50:17	ga_ls7e_ard_3-0-0_095076_2017-04-09_final
2017-05-11 09:50:29	ga_ls7e_ard_3-0-0_095076_2017-05-11_final
2017-05-27 09:52:31	ga_ls7e_ard_3-0-0_095081_2017-05-27_final
2017-06-12 09:50:36	ga_ls7e_ard_3-0-0_095076_2017-06-12_final
2017-07-14 09:50:40	ga_ls7e_ard_3-0-0_095076_2017-07-14_final
2017-08-15 09:52:36	ga_ls7e_ard_3-0-0_095081_2017-08-15_final
2017-08-31 09:50:37	ga_ls7e_ard_3-0-0_095076_2017-08-31_final
2017-09-16 09:50:35	ga_ls7e_ard_3-0-0_095076_2017-09-16_final
2017-09-16 09:52:34	ga_ls7e_ard_3-0-0_095081_2017-09-16_final
2017-10-18 09:50:38	ga_ls7e_ard_3-0-0_095076_2017-10-18_final
2017-11-03 09:50:38	ga_ls7e_ard_3-0-0_095076_2017-11-03_final
2017-11-19 09:50:34	ga_ls7e_ard_3-0-0_095076_2017-11-19_final
2017-11-19 09:52:34	ga_ls7e_ard_3-0-0_095081_2017-11-19_final
2017-12-21 09:50:18	ga_ls7e_ard_3-0-0_095076_2017-12-21_final
2018-01-06 09:52:06	ga_ls7e_ard_3-0-0_095081_2018-01-06_final
2018-01-22 09:49:52	ga_ls7e_ard_3-0-0_095076_2018-01-22_final
2018-01-22 09:51:51	ga_ls7e_ard_3-0-0_095081_2018-01-22_final
2018-02-23 09:49:26	ga_ls7e_ard_3-0-0_095076_2018-02-23_final
2018-02-23 09:51:26	ga_ls7e_ard_3-0-0_095081_2018-02-23_final
2018-03-27 09:51:02	ga_ls7e_ard_3-0-0_095081_2018-03-27_final
2018-04-28 09:48:31	ga_ls7e_ard_3-0-0_095076_2018-04-28_final
2018-05-30 09:47:59	ga_ls7e_ard_3-0-0_095076_2018-05-30_final
2018-06-15 09:47:43	ga_ls7e_ard_3-0-0_095076_2018-06-15_final
2018-07-17 09:47:06	ga_ls7e_ard_3-0-0_095076_2018-07-17_final
2018-07-17 09:49:05	ga_ls7e_ard_3-0-0_095081_2018-07-17_final
2018-09-03 09:48:11	ga_ls7e_ard_3-0-0_095081_2018-09-03_final
2018-09-19 09:45:50	ga_ls7e_ard_3-0-0_095076_2018-09-19_final
2018-09-19 09:47:50	ga_ls7e_ard_3-0-0_095081_2018-09-19_final
2018-10-21 09:47:04	ga_ls7e_ard_3-0-0_095081_2018-10-21_final
2018-12-08 09:45:55	ga_ls7e_ard_3-0-0_095081_2018-12-08_final
2019-01-09 09:42:59	ga_ls7e_ard_3-0-0_095076_2019-01-09_final
2019-01-25 09:44:28	ga_ls7e_ard_3-0-0_095081_2019-01-25_final
2019-02-10 09:41:59	ga_ls7e_ard_3-0-0_095076_2019-02-10_final
2019-02-10 09:43:59	ga_ls7e_ard_3-0-0_095081_2019-02-10_final
2019-04-15 09:41:53	ga_ls7e_ard_3-0-0_095081_2019-04-15_final
2019-05-01 09:39:17	ga_ls7e_ard_3-0-0_095076_2019-05-01_final
2019-07-04 09:36:54	ga_ls7e_ard_3-0-0_095076_2019-07-04_final
2019-07-20 09:36:17	ga_ls7e_ard_3-0-0_095076_2019-07-20_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