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
1999-07-29 09:43:16	ga_ls7e_ard_3-0-0_095082_1999-07-29_final
1999-12-20 09:42:31	ga_ls7e_ard_3-0-0_095080_1999-12-20_final
2000-02-22 09:42:13	ga_ls7e_ard_3-0-0_095080_2000-02-22_final
2000-04-10 09:42:46	ga_ls7e_ard_3-0-0_095082_2000-04-10_final
2001-01-07 09:40:50	ga_ls7e_ard_3-0-0_095082_2001-01-07_final
2001-01-23 09:42:07	ga_ls7e_ard_3-0-0_095085_2001-01-23_final
2003-08-25 09:38:23	ga_ls7e_ard_3-0-0_095081_2003-08-25_final
2003-09-26 09:38:11	ga_ls7e_ard_3-0-0_095081_2003-09-26_final
2003-09-26 09:38:59	ga_ls7e_ard_3-0-0_095083_2003-09-26_final
2004-02-17 09:38:42	ga_ls7e_ard_3-0-0_095080_2004-02-17_final
2004-09-28 09:39:23	ga_ls7e_ard_3-1-0_095083_2004-09-28_final
2006-05-29 09:40:51	ga_ls7e_ard_3-0-0_095083_2006-05-29_final
2007-04-14 09:40:30	ga_ls7e_ard_3-0-0_095081_2007-04-14_final
2007-10-07 09:40:04	ga_ls7e_ard_3-0-0_095082_2007-10-07_final
2008-07-21 09:39:43	ga_ls7e_ard_3-0-0_095082_2008-07-21_final
2009-07-08 09:41:09	ga_ls7e_ard_3-0-0_095083_2009-07-08_final
2009-11-29 09:39:58	ga_ls7e_ard_3-1-0_095079_2009-11-29_final
2009-12-15 09:40:11	ga_ls7e_ard_3-1-0_095079_2009-12-15_final
2009-12-31 09:42:28	ga_ls7e_ard_3-0-0_095084_2009-12-31_final
2010-08-28 09:43:03	ga_ls7e_ard_3-0-0_095083_2010-08-28_final
2011-06-12 09:43:35	ga_ls7e_ard_3-0-0_095081_2011-06-12_final
2011-09-16 09:42:52	ga_ls7e_ard_3-0-0_095080_2011-09-16_final
2011-10-18 09:42:54	ga_ls7e_ard_3-0-0_095080_2011-10-18_final
2011-11-19 09:43:37	ga_ls7e_ard_3-0-0_095081_2011-11-19_final
2012-04-11 09:43:14	ga_ls7e_ard_3-1-0_095079_2012-04-11_final
2012-12-07 09:45:59	ga_ls7e_ard_3-0-0_095081_2012-12-07_final
2013-01-08 09:45:21	ga_ls7e_ard_3-1-0_095079_2013-01-08_final
2013-02-09 09:45:25	ga_ls7e_ard_3-1-0_095079_2013-02-09_final
2013-03-29 09:46:02	ga_ls7e_ard_3-0-0_095081_2013-03-29_final
2013-05-16 09:45:28	ga_ls7e_ard_3-0-0_095080_2013-05-16_final
2013-06-17 09:44:51	ga_ls7e_ard_3-1-0_095079_2013-06-17_final
2013-10-23 09:46:03	ga_ls7e_ard_3-0-0_095081_2013-10-23_final
2014-02-12 09:46:25	ga_ls7e_ard_3-0-0_095080_2014-02-12_final
2014-06-04 09:46:36	ga_ls7e_ard_3-1-0_095079_2014-06-04_final
2014-06-20 09:48:12	ga_ls7e_ard_3-0-0_095083_2014-06-20_final
2014-08-23 09:47:37	ga_ls7e_ard_3-0-0_095081_2014-08-23_final
2014-09-08 09:48:27	ga_ls7e_ard_3-0-0_095083_2014-09-08_final
2014-10-26 09:48:06	ga_ls7e_ard_3-0-0_095081_2014-10-26_final
2014-11-27 09:47:31	ga_ls7e_ard_3-1-0_095079_2014-11-27_final
2015-01-14 09:47:46	ga_ls7e_ard_3-1-0_095079_2015-01-14_final
2015-02-15 09:50:16	ga_ls7e_ard_3-0-0_095085_2015-02-15_final
2015-07-25 09:49:21	ga_ls7e_ard_3-0-0_095080_2015-07-25_final
2016-03-05 09:52:00	ga_ls7e_ard_3-0-0_095081_2016-03-05_final
2016-03-21 09:51:19	ga_ls7e_ard_3-1-0_095079_2016-03-21_final
2016-03-21 09:51:43	ga_ls7e_ard_3-0-0_095080_2016-03-21_final
2016-04-06 09:52:10	ga_ls7e_ard_3-0-0_095081_2016-04-06_final
2016-04-22 09:51:31	ga_ls7e_ard_3-1-0_095079_2016-04-22_final
2016-06-25 09:53:21	ga_ls7e_ard_3-0-0_095083_2016-06-25_final
2016-07-27 09:51:48	ga_ls7e_ard_3-1-0_095079_2016-07-27_final
2016-08-12 09:52:37	ga_ls7e_ard_3-0-0_095081_2016-08-12_final
2017-01-03 09:51:28	ga_ls7e_ard_3-1-0_095079_2017-01-03_final
2017-01-03 09:51:52	ga_ls7e_ard_3-0-0_095080_2017-01-03_final
2017-10-18 09:53:50	ga_ls7e_ard_3-0-0_095084_2017-10-18_final
2018-03-11 09:50:51	ga_ls7e_ard_3-0-0_095080_2018-03-11_final
2018-08-18 09:48:30	ga_ls7e_ard_3-0-0_095081_2018-08-18_final
2019-01-25 09:43:40	ga_ls7e_ard_3-1-0_095079_2019-01-25_final
2019-07-20 09:37:29	ga_ls7e_ard_3-1-0_095079_2019-07-20_final
2019-10-24 09:33:25	ga_ls7e_ard_3-1-0_095079_2019-10-24_final
2020-05-03 09:23:27	ga_ls7e_ard_3-1-0_095079_2020-05-02_final
2021-01-29 09:57:44	ga_ls7e_ard_3-2-0_104070_2021-01-29_final
2021-01-30 09:06:25	ga_ls7e_ard_3-2-0_095081_2021-01-29_final
2021-02-22 09:07:41	ga_ls7e_ard_3-2-0_096073_2021-02-21_final
2021-02-22 09:08:05	ga_ls7e_ard_3-2-0_096074_2021-02-21_final
2021-02-24 08:56:46	ga_ls7e_ard_3-2-0_094077_2021-02-23_final
2021-03-03 10:37:42	ga_ls7e_ard_3-2-0_111068_2021-03-03_final
2021-03-09 10:04:56	ga_ls7e_ard_3-2-0_105080_2021-03-09_final
2021-03-12 08:55:32	ga_ls7e_ard_3-2-0_094077_2021-03-11_final
2021-03-12 08:57:55	ga_ls7e_ard_3-2-0_094083_2021-03-11_final
2021-03-19 09:01:57	ga_ls7e_ard_3-2-0_095079_2021-03-18_final
2021-03-19 10:41:13	ga_ls7e_ard_3-2-0_111080_2021-03-19_final
2021-03-24 09:21:17	ga_ls7e_ard_3-2-0_098082_2021-03-23_final
2021-03-24 10:57:46	ga_ls7e_ard_3-2-0_114076_2021-03-24_final
2021-03-26 10:46:02	ga_ls7e_ard_3-2-0_112078_2021-03-26_final
2021-03-29 09:36:37	ga_ls7e_ard_3-2-0_101075_2021-03-29_final
2021-04-02 10:52:03	ga_ls7e_ard_3-2-0_113079_2021-04-02_final
2021-04-04 10:39:31	ga_ls7e_ard_3-2-0_111079_2021-04-04_final
2021-04-04 10:39:55	ga_ls7e_ard_3-2-0_111080_2021-04-04_final
2021-04-05 09:43:49	ga_ls7e_ard_3-2-0_102079_2021-04-05_final
2021-04-10 10:01:57	ga_ls7e_ard_3-2-0_105079_2021-04-10_final
2021-04-11 10:43:31	ga_ls7e_ard_3-2-0_112075_2021-04-11_final
2021-04-18 10:49:31	ga_ls7e_ard_3-2-0_113076_2021-04-18_final
2021-04-20 10:38:11	ga_ls7e_ard_3-2-0_111079_2021-04-20_final
2021-04-20 10:38:35	ga_ls7e_ard_3-2-0_111080_2021-04-20_final
2021-04-24 10:10:20	ga_ls7e_ard_3-2-0_107072_2021-04-24_final
2021-04-25 10:56:18	ga_ls7e_ard_3-2-0_114079_2021-04-25_final
2021-04-27 09:04:05	ga_ls7e_ard_3-2-0_096077_2021-04-26_final
2021-04-29 10:26:27	ga_ls7e_ard_3-2-0_110067_2021-04-29_final
2021-05-01 10:17:55	ga_ls7e_ard_3-2-0_108077_2021-05-01_final
2021-05-06 10:35:38	ga_ls7e_ard_3-2-0_111076_2021-05-06_final
2021-05-11 09:14:05	ga_ls7e_ard_3-2-0_098074_2021-05-10_final
2021-05-13 09:03:09	ga_ls7e_ard_3-2-0_096078_2021-05-12_final
2021-05-14 09:45:08	ga_ls7e_ard_3-2-0_103075_2021-05-14_final
2021-05-14 09:46:44	ga_ls7e_ard_3-2-0_103079_2021-05-14_final
2021-05-21 09:52:19	ga_ls7e_ard_3-2-0_104079_2021-05-21_final
2021-06-05 10:46:39	ga_ls7e_ard_3-2-0_113079_2021-06-05_final
2021-06-06 09:49:46	ga_ls7e_ard_3-2-0_104076_2021-06-06_final
2021-06-07 10:34:08	ga_ls7e_ard_3-2-0_111079_2021-06-07_final
2021-06-14 08:58:53	ga_ls7e_ard_3-2-0_096074_2021-06-13_final
2021-06-16 08:47:09	ga_ls7e_ard_3-2-0_094076_2021-06-15_final
2021-06-18 10:14:18	ga_ls7e_ard_3-2-0_108078_2021-06-18_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