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
2000-05-26 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
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
2006-07-14 11:31:26	ga_ls7e_ard_3-0-0_113082_2006-07-14_final
2011-04-05 10:06:44	ga_ls7e_ard_3-0-0_099077_2011-04-05_final
2011-08-11 10:06:32	ga_ls7e_ard_3-0-0_099077_2011-08-11_final
2011-08-29 11:35:01	ga_ls7e_ard_3-0-0_113082_2011-08-29_final
2011-09-30 11:34:53	ga_ls7e_ard_3-0-0_113082_2011-09-30_final
2011-10-30 10:06:29	ga_ls7e_ard_3-0-0_099077_2011-10-30_final
2011-11-01 11:35:00	ga_ls7e_ard_3-0-0_113082_2011-11-01_final
2011-12-03 11:35:23	ga_ls7e_ard_3-0-0_113082_2011-12-03_final
2012-01-18 10:07:08	ga_ls7e_ard_3-0-0_099077_2012-01-18_final
2012-01-20 11:35:39	ga_ls7e_ard_3-0-0_113082_2012-01-20_final
2012-04-07 10:07:11	ga_ls7e_ard_3-0-0_099077_2012-04-07_final
2012-04-09 11:35:41	ga_ls7e_ard_3-0-0_113082_2012-04-09_final
2012-06-10 10:07:29	ga_ls7e_ard_3-0-0_099077_2012-06-10_final
2012-07-28 10:08:02	ga_ls7e_ard_3-0-0_099077_2012-07-28_final
2012-08-13 10:08:14	ga_ls7e_ard_3-0-0_099077_2012-08-13_final
2012-10-16 10:08:51	ga_ls7e_ard_3-0-0_099077_2012-10-16_final
2012-11-19 11:37:37	ga_ls7e_ard_3-0-0_113082_2012-11-19_final
2012-12-03 10:09:05	ga_ls7e_ard_3-0-0_099077_2012-12-03_final
2013-01-20 10:09:17	ga_ls7e_ard_3-0-0_099077_2013-01-20_final
2013-03-09 10:09:16	ga_ls7e_ard_3-0-0_099077_2013-03-09_final
2013-04-10 10:09:09	ga_ls7e_ard_3-0-0_099077_2013-04-10_final
2013-05-12 10:08:59	ga_ls7e_ard_3-0-0_099077_2013-05-12_final
2013-05-14 11:37:31	ga_ls7e_ard_3-0-0_113082_2013-05-14_final
2013-07-17 11:37:01	ga_ls7e_ard_3-0-0_113082_2013-07-17_final
2013-08-18 11:36:57	ga_ls7e_ard_3-0-0_113082_2013-08-18_final
2013-10-03 10:08:57	ga_ls7e_ard_3-0-0_099077_2013-10-03_final
2013-10-19 10:09:09	ga_ls7e_ard_3-0-0_099077_2013-10-19_final
2013-11-20 10:09:17	ga_ls7e_ard_3-0-0_099077_2013-11-20_final
2013-12-22 10:09:29	ga_ls7e_ard_3-0-0_099077_2013-12-22_final
2014-01-23 10:09:51	ga_ls7e_ard_3-0-0_099077_2014-01-23_final
2014-05-15 10:10:26	ga_ls7e_ard_3-0-0_099077_2014-05-15_final
2014-06-16 10:10:31	ga_ls7e_ard_3-0-0_099077_2014-06-16_final
2014-07-02 10:10:37	ga_ls7e_ard_3-0-0_099077_2014-07-02_final
2014-07-04 11:39:09	ga_ls7e_ard_3-0-0_113082_2014-07-04_final
2014-08-03 10:10:46	ga_ls7e_ard_3-0-0_099077_2014-08-03_final
2014-09-22 11:39:22	ga_ls7e_ard_3-0-0_113082_2014-09-22_final
2014-10-06 10:11:02	ga_ls7e_ard_3-0-0_099077_2014-10-06_final
2014-10-22 10:11:11	ga_ls7e_ard_3-0-0_099077_2014-10-22_final
2014-12-09 10:11:30	ga_ls7e_ard_3-0-0_099077_2014-12-09_final
2015-05-20 11:41:06	ga_ls7e_ard_3-0-0_113082_2015-05-20_final
2015-06-19 10:12:44	ga_ls7e_ard_3-0-0_099077_2015-06-19_final
2015-06-21 11:41:15	ga_ls7e_ard_3-0-0_113082_2015-06-21_final
2015-08-06 10:12:56	ga_ls7e_ard_3-0-0_099077_2015-08-06_final
2015-09-07 10:13:00	ga_ls7e_ard_3-0-0_099077_2015-09-07_final
2015-11-18 09:29:13	ga_ls7e_ard_3-0-0_091089_2015-11-17_final
2015-12-28 10:14:27	ga_ls7e_ard_3-0-0_099077_2015-12-28_final
2016-05-04 10:15:30	ga_ls7e_ard_3-0-0_099077_2016-05-04_final
2016-05-12 09:30:52	ga_ls7e_ard_3-0-0_091089_2016-05-12_final
2016-05-28 09:30:57	ga_ls7e_ard_3-0-0_091089_2016-05-28_final
2016-06-13 09:31:01	ga_ls7e_ard_3-0-0_091089_2016-06-13_final
2016-09-01 09:31:09	ga_ls7e_ard_3-0-0_091089_2016-09-01_final
2016-09-25 10:15:52	ga_ls7e_ard_3-0-0_099077_2016-09-25_final
2016-10-03 09:31:13	ga_ls7e_ard_3-0-0_091089_2016-10-03_final
2016-10-11 10:15:52	ga_ls7e_ard_3-0-0_099077_2016-10-11_final
2016-11-04 09:31:06	ga_ls7e_ard_3-0-0_091089_2016-11-04_final
2016-11-12 10:15:41	ga_ls7e_ard_3-0-0_099077_2016-11-12_final
2016-11-20 09:31:00	ga_ls7e_ard_3-0-0_091089_2016-11-20_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
2017-01-07 09:30:42	ga_ls7e_ard_3-0-0_091089_2017-01-07_final
2017-01-31 10:15:07	ga_ls7e_ard_3-0-0_099077_2017-01-31_final
2017-04-21 10:15:30	ga_ls7e_ard_3-0-0_099077_2017-04-21_final
2017-04-29 09:30:54	ga_ls7e_ard_3-0-0_091089_2017-04-29_final
2017-05-15 09:30:57	ga_ls7e_ard_3-0-0_091089_2017-05-15_final
2017-05-23 10:15:37	ga_ls7e_ard_3-0-0_099077_2017-05-23_final
2017-05-31 09:31:01	ga_ls7e_ard_3-0-0_091089_2017-05-31_final
2017-06-24 10:15:46	ga_ls7e_ard_3-0-0_099077_2017-06-24_final
2017-07-26 10:15:46	ga_ls7e_ard_3-0-0_099077_2017-07-26_final
2017-08-03 09:31:06	ga_ls7e_ard_3-0-0_091089_2017-08-03_final
2017-09-04 09:31:05	ga_ls7e_ard_3-0-0_091089_2017-09-04_final
2017-09-12 10:15:43	ga_ls7e_ard_3-0-0_099077_2017-09-12_final
2017-10-06 09:31:04	ga_ls7e_ard_3-0-0_091089_2017-10-06_final
2017-10-14 10:15:45	ga_ls7e_ard_3-0-0_099077_2017-10-14_final
2017-11-07 09:31:05	ga_ls7e_ard_3-0-0_091089_2017-11-07_final
2017-11-15 10:15:43	ga_ls7e_ard_3-0-0_099077_2017-11-15_final
2017-12-09 09:30:54	ga_ls7e_ard_3-0-0_091089_2017-12-09_final
2018-01-02 10:15:16	ga_ls7e_ard_3-0-0_099077_2018-01-02_final
2018-01-26 09:30:16	ga_ls7e_ard_3-0-0_091089_2018-01-26_final
2018-02-03 10:14:47	ga_ls7e_ard_3-0-0_099077_2018-02-03_final
2018-02-19 10:14:36	ga_ls7e_ard_3-0-0_099077_2018-02-19_final
2018-04-16 09:29:12	ga_ls7e_ard_3-0-0_091089_2018-04-15_final
2018-05-26 10:13:10	ga_ls7e_ard_3-0-0_099077_2018-05-26_final
2018-06-03 09:28:23	ga_ls7e_ard_3-0-0_091089_2018-06-02_final
2018-06-27 10:12:36	ga_ls7e_ard_3-0-0_099077_2018-06-27_final
2018-07-05 09:27:47	ga_ls7e_ard_3-0-0_091089_2018-07-04_final
2018-07-13 10:12:17	ga_ls7e_ard_3-0-0_099077_2018-07-13_final
2018-07-21 09:27:30	ga_ls7e_ard_3-0-0_091089_2018-07-20_final
2018-08-14 10:11:43	ga_ls7e_ard_3-0-0_099077_2018-08-14_final
2019-01-21 10:07:43	ga_ls7e_ard_3-0-0_099077_2019-01-21_final
2019-04-11 10:05:09	ga_ls7e_ard_3-0-0_099077_2019-04-11_final
2019-05-13 10:03:57	ga_ls7e_ard_3-0-0_099077_2019-05-13_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

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