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:

Add field

First 100 results (query limit)

Time (local)	Label
2000-08-12 11:41:53	ga_ls7e_ard_3-0-0_115074_2000-08-12_final
2001-02-04 11:41:15	ga_ls7e_ard_3-0-0_115074_2001-02-04_final
2002-09-03 11:38:48	ga_ls7e_ard_3-0-0_115074_2002-09-03_final
2004-01-28 11:39:52	ga_ls7e_ard_3-0-0_115074_2004-01-28_final
2004-06-13 11:36:03	ga_ls7e_ard_3-0-0_114080_2004-06-13_final
2004-11-20 11:36:00	ga_ls7e_ard_3-0-0_114080_2004-11-20_final
2005-01-07 11:36:24	ga_ls7e_ard_3-0-0_114080_2005-01-07_final
2005-07-09 11:40:14	ga_ls7e_ard_3-0-0_115074_2005-07-09_final
2005-08-03 11:36:25	ga_ls7e_ard_3-0-0_114080_2005-08-03_final
2005-08-19 11:36:19	ga_ls7e_ard_3-0-0_114080_2005-08-19_final
2005-11-23 11:36:34	ga_ls7e_ard_3-0-0_114080_2005-11-23_final
2006-03-15 11:37:07	ga_ls7e_ard_3-0-0_114080_2006-03-15_final
2007-03-25 11:41:20	ga_ls7e_ard_3-0-0_115074_2007-03-25_final
2009-08-21 11:40:59	ga_ls7e_ard_3-0-0_115074_2009-08-21_final
2009-09-06 11:40:59	ga_ls7e_ard_3-0-0_115074_2009-09-06_final
2011-07-26 11:44:18	ga_ls7e_ard_3-0-0_115074_2011-07-26_final
2011-11-15 11:44:22	ga_ls7e_ard_3-0-0_115074_2011-11-15_final
2013-03-02 11:43:10	ga_ls7e_ard_3-0-0_114080_2013-03-02_final
2013-04-03 11:43:04	ga_ls7e_ard_3-0-0_114080_2013-04-03_final
2013-04-19 11:42:58	ga_ls7e_ard_3-0-0_114080_2013-04-19_final
2013-05-05 11:42:55	ga_ls7e_ard_3-0-0_114080_2013-05-05_final
2013-07-08 11:42:27	ga_ls7e_ard_3-0-0_114080_2013-07-08_final
2013-08-09 11:42:12	ga_ls7e_ard_3-0-0_114080_2013-08-09_final
2013-09-10 11:42:37	ga_ls7e_ard_3-0-0_114080_2013-09-10_final
2013-10-28 11:43:05	ga_ls7e_ard_3-0-0_114080_2013-10-28_final
2013-11-13 11:43:12	ga_ls7e_ard_3-0-0_114080_2013-11-13_final
2013-12-15 11:43:21	ga_ls7e_ard_3-0-0_114080_2013-12-15_final
2014-02-01 11:43:53	ga_ls7e_ard_3-0-0_114080_2014-02-01_final
2014-02-17 11:43:45	ga_ls7e_ard_3-0-0_114080_2014-02-17_final
2014-03-21 11:43:56	ga_ls7e_ard_3-0-0_114080_2014-03-21_final
2014-04-06 11:44:00	ga_ls7e_ard_3-0-0_114080_2014-04-06_final
2014-04-22 11:44:11	ga_ls7e_ard_3-0-0_114080_2014-04-22_final
2014-05-08 11:44:15	ga_ls7e_ard_3-0-0_114080_2014-05-08_final
2014-06-09 11:44:26	ga_ls7e_ard_3-0-0_114080_2014-06-09_final
2014-06-25 11:44:29	ga_ls7e_ard_3-0-0_114080_2014-06-25_final
2014-07-11 11:44:33	ga_ls7e_ard_3-0-0_114080_2014-07-11_final
2014-07-27 11:44:38	ga_ls7e_ard_3-0-0_114080_2014-07-27_final
2014-09-13 11:44:39	ga_ls7e_ard_3-0-0_114080_2014-09-13_final
2014-10-15 11:44:59	ga_ls7e_ard_3-0-0_114080_2014-10-15_final
2014-10-31 11:45:10	ga_ls7e_ard_3-0-0_114080_2014-10-31_final
2014-11-16 11:45:16	ga_ls7e_ard_3-0-0_114080_2014-11-16_final
2015-02-04 11:45:43	ga_ls7e_ard_3-0-0_114080_2015-02-04_final
2015-03-24 11:46:04	ga_ls7e_ard_3-0-0_114080_2015-03-24_final
2015-05-11 11:46:25	ga_ls7e_ard_3-0-0_114080_2015-05-11_final
2015-05-27 11:46:29	ga_ls7e_ard_3-0-0_114080_2015-05-27_final
2015-06-28 11:46:39	ga_ls7e_ard_3-0-0_114080_2015-06-28_final
2015-08-31 11:46:51	ga_ls7e_ard_3-0-0_114080_2015-08-31_final
2015-10-02 11:46:56	ga_ls7e_ard_3-0-0_114080_2015-10-02_final
2015-10-18 11:47:17	ga_ls7e_ard_3-0-0_114080_2015-10-18_final
2015-11-03 11:47:29	ga_ls7e_ard_3-0-0_114080_2015-11-03_final
2015-12-21 11:48:17	ga_ls7e_ard_3-0-0_114080_2015-12-21_final
2016-01-06 11:48:31	ga_ls7e_ard_3-0-0_114080_2016-01-06_final
2016-01-22 11:48:44	ga_ls7e_ard_3-0-0_114080_2016-01-22_final
2016-02-07 11:48:52	ga_ls7e_ard_3-0-0_114080_2016-02-07_final
2016-02-23 11:48:53	ga_ls7e_ard_3-0-0_114080_2016-02-23_final
2016-05-13 11:49:25	ga_ls7e_ard_3-0-0_114080_2016-05-13_final
2016-05-29 11:49:30	ga_ls7e_ard_3-0-0_114080_2016-05-29_final
2016-06-14 11:49:34	ga_ls7e_ard_3-0-0_114080_2016-06-14_final
2016-06-30 11:49:35	ga_ls7e_ard_3-0-0_114080_2016-06-30_final
2016-08-01 11:49:38	ga_ls7e_ard_3-0-0_114080_2016-08-01_final
2016-08-17 11:49:38	ga_ls7e_ard_3-0-0_114080_2016-08-17_final
2016-09-02 11:49:43	ga_ls7e_ard_3-0-0_114080_2016-09-02_final
2016-09-18 11:49:44	ga_ls7e_ard_3-0-0_114080_2016-09-18_final
2016-10-04 11:49:47	ga_ls7e_ard_3-0-0_114080_2016-10-04_final
2016-10-20 11:49:45	ga_ls7e_ard_3-0-0_114080_2016-10-20_final
2016-12-07 11:49:30	ga_ls7e_ard_3-0-0_114080_2016-12-07_final
2017-01-08 11:49:15	ga_ls7e_ard_3-0-0_114080_2017-01-08_final
2017-01-24 11:49:03	ga_ls7e_ard_3-0-0_114080_2017-01-24_final
2017-04-30 11:49:27	ga_ls7e_ard_3-0-0_114080_2017-04-30_final
2017-05-16 11:49:31	ga_ls7e_ard_3-0-0_114080_2017-05-16_final
2017-06-01 11:49:34	ga_ls7e_ard_3-0-0_114080_2017-06-01_final
2017-06-17 11:49:39	ga_ls7e_ard_3-0-0_114080_2017-06-17_final
2017-07-03 11:49:41	ga_ls7e_ard_3-0-0_114080_2017-07-03_final
2017-08-04 11:49:39	ga_ls7e_ard_3-0-0_114080_2017-08-04_final
2017-09-05 11:49:38	ga_ls7e_ard_3-0-0_114080_2017-09-05_final
2017-09-21 11:49:36	ga_ls7e_ard_3-0-0_114080_2017-09-21_final
2018-01-11 11:49:03	ga_ls7e_ard_3-0-0_114080_2018-01-11_final
2018-02-12 11:48:34	ga_ls7e_ard_3-0-0_114080_2018-02-12_final
2018-02-28 11:48:24	ga_ls7e_ard_3-0-0_114080_2018-02-28_final
2018-03-16 11:48:13	ga_ls7e_ard_3-0-0_114080_2018-03-16_final
2018-04-01 11:47:59	ga_ls7e_ard_3-0-0_114080_2018-04-01_final
2018-04-17 11:47:44	ga_ls7e_ard_3-0-0_114080_2018-04-17_final
2018-05-19 11:47:11	ga_ls7e_ard_3-0-0_114080_2018-05-19_final
2018-06-20 11:46:38	ga_ls7e_ard_3-0-0_114080_2018-06-20_final
2018-07-06 11:46:19	ga_ls7e_ard_3-0-0_114080_2018-07-06_final
2018-07-22 11:46:02	ga_ls7e_ard_3-0-0_114080_2018-07-22_final
2018-09-08 11:45:06	ga_ls7e_ard_3-0-0_114080_2018-09-08_final
2018-10-10 11:44:21	ga_ls7e_ard_3-0-0_114080_2018-10-10_final
2018-11-11 11:43:38	ga_ls7e_ard_3-0-0_114080_2018-11-11_final
2018-11-27 11:43:14	ga_ls7e_ard_3-0-0_114080_2018-11-27_final
2018-12-13 11:42:48	ga_ls7e_ard_3-0-0_114080_2018-12-13_final
2019-01-14 11:41:51	ga_ls7e_ard_3-0-0_114080_2019-01-14_final
2019-01-30 11:41:19	ga_ls7e_ard_3-0-0_114080_2019-01-30_final
2019-02-15 11:40:51	ga_ls7e_ard_3-0-0_114080_2019-02-15_final
2019-04-04 11:39:18	ga_ls7e_ard_3-0-0_114080_2019-04-04_final
2019-05-06 11:38:07	ga_ls7e_ard_3-0-0_114080_2019-05-06_final
2019-05-22 11:37:29	ga_ls7e_ard_3-0-0_114080_2019-05-22_final
2019-06-07 11:36:56	ga_ls7e_ard_3-0-0_114080_2019-06-07_final
2019-07-09 11:35:44	ga_ls7e_ard_3-0-0_114080_2019-07-09_final
2019-07-25 11:35:06	ga_ls7e_ard_3-0-0_114080_2019-07-25_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