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
2000-01-23 09:32:50	ga_ls7e_ard_3-1-0_093087_2000-01-23_final
2000-09-22 09:58:36	ga_ls7e_ard_3-1-0_098080_2000-09-22_final
2001-01-16 11:09:35	ga_ls7e_ard_3-1-0_110072_2001-01-16_final
2002-02-24 10:44:30	ga_ls7e_ard_3-1-0_106075_2002-02-24_final
2003-05-23 09:28:42	ga_ls7e_ard_3-1-0_093087_2003-05-22_final
2003-12-31 09:35:42	ga_ls7e_ard_3-1-0_095073_2003-12-31_final
2004-08-16 09:56:56	ga_ls7e_ard_3-1-0_098080_2004-08-16_final
2004-11-27 11:41:05	ga_ls7e_ard_3-1-0_115077_2004-11-27_final
2005-02-12 11:08:41	ga_ls7e_ard_3-1-0_110072_2005-02-12_final
2005-06-04 09:30:09	ga_ls7e_ard_3-1-0_094073_2005-06-04_final
2006-02-08 09:30:04	ga_ls7e_ard_3-1-0_093087_2006-02-08_final
2006-06-23 09:34:34	ga_ls7e_ard_3-1-0_094083_2006-06-23_final
2006-09-15 09:11:26	ga_ls7e_ard_3-1-0_090088_2006-09-14_final
2006-12-19 10:04:54	ga_ls7e_ard_3-1-0_099081_2006-12-19_final
2006-12-19 10:06:06	ga_ls7e_ard_3-1-0_099084_2006-12-19_final
2007-02-09 09:37:12	ga_ls7e_ard_3-1-0_095073_2007-02-09_final
2007-03-29 09:37:20	ga_ls7e_ard_3-1-0_095073_2007-03-29_final
2007-05-18 09:28:47	ga_ls7e_ard_3-1-0_093083_2007-05-17_final
2007-07-21 09:29:48	ga_ls7e_ard_3-1-0_093086_2007-07-20_final
2007-09-23 09:30:13	ga_ls7e_ard_3-1-0_093088_2007-09-23_final
2007-11-08 09:36:51	ga_ls7e_ard_3-1-0_095073_2007-11-08_final
2008-06-05 09:29:52	ga_ls7e_ard_3-1-0_093087_2008-06-04_final
2008-07-04 10:30:46	ga_ls7e_ard_3-1-0_104070_2008-07-04_final
2009-01-29 11:19:02	ga_ls7e_ard_3-1-0_111082_2009-01-29_final
2009-10-01 09:58:15	ga_ls7e_ard_3-1-0_098080_2009-10-01_final
2009-10-11 10:31:17	ga_ls7e_ard_3-1-0_104070_2009-10-11_final
2009-10-27 10:31:34	ga_ls7e_ard_3-1-0_104070_2009-10-27_final
2009-11-10 10:46:07	ga_ls7e_ard_3-1-0_106075_2009-11-10_final
2010-02-14 10:47:29	ga_ls7e_ard_3-1-0_106075_2010-02-14_final
2010-07-13 09:32:15	ga_ls7e_ard_3-1-0_093087_2010-07-13_final
2010-10-01 09:32:14	ga_ls7e_ard_3-1-0_093087_2010-10-01_final
2011-07-12 11:34:22	ga_ls7e_ard_3-1-0_113080_2011-07-12_final
2011-10-02 11:22:32	ga_ls7e_ard_3-1-0_111082_2011-10-02_final
2012-07-25 09:39:30	ga_ls7e_ard_3-1-0_094083_2012-07-25_final
2012-12-04 10:51:33	ga_ls7e_ard_3-1-0_106075_2012-12-04_final
2013-02-21 10:12:05	ga_ls7e_ard_3-1-0_099084_2013-02-21_final
2013-11-23 10:37:27	ga_ls7e_ard_3-1-0_104070_2013-11-23_final
2014-04-17 09:43:54	ga_ls7e_ard_3-1-0_095073_2014-04-17_final
2014-11-23 11:50:17	ga_ls7e_ard_3-1-0_115077_2014-11-23_final
2015-02-01 11:15:12	ga_ls7e_ard_3-1-0_109081_2015-02-01_final
2015-07-02 11:18:45	ga_ls7e_ard_3-1-0_110072_2015-07-02_final
2015-07-14 10:07:52	ga_ls7e_ard_3-1-0_098080_2015-07-14_final
2015-11-14 09:47:30	ga_ls7e_ard_3-1-0_095073_2015-11-14_final
2016-02-24 09:14:47	ga_ls7e_ard_3-1-0_089081_2016-02-23_final
2016-04-24 09:42:22	ga_ls7e_ard_3-1-0_093087_2016-04-24_final
2016-07-17 09:15:29	ga_ls7e_ard_3-1-0_089081_2016-07-16_final
2016-08-12 09:49:25	ga_ls7e_ard_3-1-0_095073_2016-08-12_final
2016-10-12 10:58:20	ga_ls7e_ard_3-1-0_106075_2016-10-12_final
2017-03-05 10:57:41	ga_ls7e_ard_3-1-0_106075_2017-03-05_final
2017-05-29 09:42:34	ga_ls7e_ard_3-1-0_093087_2017-05-29_final
2017-09-29 10:58:11	ga_ls7e_ard_3-1-0_106075_2017-09-29_final
2017-10-31 10:58:13	ga_ls7e_ard_3-1-0_106075_2017-10-31_final
2017-12-27 09:15:09	ga_ls7e_ard_3-1-0_089081_2017-12-26_final
2018-07-01 09:46:12	ga_ls7e_ard_3-1-0_095073_2018-07-01_final
2018-10-26 10:05:06	ga_ls7e_ard_3-1-0_098080_2018-10-26_final
2019-02-19 11:15:13	ga_ls7e_ard_3-1-0_110078_2019-02-19_final
2019-02-19 11:17:36	ga_ls7e_ard_3-1-0_110084_2019-02-19_final
2019-02-25 10:33:57	ga_ls7e_ard_3-1-0_104068_2019-02-25_final
2019-03-07 11:11:31	ga_ls7e_ard_3-1-0_110070_2019-03-07_final
2019-03-11 10:48:40	ga_ls7e_ard_3-1-0_106075_2019-03-11_final
2019-03-30 11:21:43	ga_ls7e_ard_3-1-0_111082_2019-03-30_final
2019-08-23 11:01:00	ga_ls7e_ard_3-1-0_109075_2019-08-23_final
2019-09-02 10:01:58	ga_ls7e_ard_3-1-0_099083_2019-09-02_final
2019-09-04 11:27:36	ga_ls7e_ard_3-1-0_113081_2019-09-04_final
2019-09-04 11:28:48	ga_ls7e_ard_3-1-0_113084_2019-09-04_final
2019-09-24 09:25:07	ga_ls7e_ard_3-1-0_093086_2019-09-23_final
2019-10-06 11:26:37	ga_ls7e_ard_3-1-0_113082_2019-10-06_final
2019-10-10 10:58:09	ga_ls7e_ard_3-1-0_109073_2019-10-10_final
2019-10-28 10:45:25	ga_ls7e_ard_3-1-0_107074_2019-10-28_final
2019-11-02 11:04:08	ga_ls7e_ard_3-1-0_110075_2019-11-02_final
2019-11-02 11:05:20	ga_ls7e_ard_3-1-0_110078_2019-11-02_final
2019-11-05 09:56:01	ga_ls7e_ard_3-1-0_099075_2019-11-05_final
2019-11-09 11:09:12	ga_ls7e_ard_3-1-0_111073_2019-11-09_final
2019-11-18 09:28:54	ga_ls7e_ard_3-1-0_094086_2019-11-17_final
2019-11-18 09:29:18	ga_ls7e_ard_3-1-0_094087_2019-11-17_final
2019-11-25 11:12:26	ga_ls7e_ard_3-1-0_111083_2019-11-25_final
2019-12-10 10:28:03	ga_ls7e_ard_3-1-0_104082_2019-12-10_final
2019-12-18 11:15:05	ga_ls7e_ard_3-1-0_112077_2019-12-18_final
2019-12-24 10:38:54	ga_ls7e_ard_3-1-0_106080_2019-12-24_final
2019-12-26 10:22:02	ga_ls7e_ard_3-1-0_104069_2019-12-26_final
2020-01-04 10:15:23	ga_ls7e_ard_3-1-0_103069_2020-01-04_final
2020-01-06 10:06:07	ga_ls7e_ard_3-1-0_101077_2020-01-06_final
2020-01-08 09:53:15	ga_ls7e_ard_3-1-0_099076_2020-01-08_final
2020-01-24 11:31:21	ga_ls7e_ard_3-1-0_115076_2020-01-24_final
2020-01-26 11:20:53	ga_ls7e_ard_3-1-0_113081_2020-01-26_final
2020-01-30 10:52:46	ga_ls7e_ard_3-1-0_109073_2020-01-30_final
2020-02-02 11:25:55	ga_ls7e_ard_3-1-0_114079_2020-02-02_final
2020-02-05 10:14:59	ga_ls7e_ard_3-1-0_103072_2020-02-05_final
2020-02-10 10:36:28	ga_ls7e_ard_3-1-0_106080_2020-02-10_final
2020-02-11 11:20:52	ga_ls7e_ard_3-1-0_113083_2020-02-11_final
2020-02-15 10:52:21	ga_ls7e_ard_3-1-0_109074_2020-02-15_final
2020-02-20 11:13:25	ga_ls7e_ard_3-1-0_112081_2020-02-20_final
2020-03-09 09:23:13	ga_ls7e_ard_3-1-0_094086_2020-03-08_final
2020-04-01 11:01:25	ga_ls7e_ard_3-1-0_111072_2020-04-01_final
2020-04-03 09:15:39	ga_ls7e_ard_3-1-0_093086_2020-04-02_final
2020-04-03 09:16:03	ga_ls7e_ard_3-1-0_093087_2020-04-02_final
2020-04-11 10:03:02	ga_ls7e_ard_3-1-0_101082_2020-04-11_final
2020-04-22 11:22:20	ga_ls7e_ard_3-1-0_114081_2020-04-22_final
2022-03-26 08:04:01	ga_ls7e_ard_3-2-1_091080_2022-03-25_final
2022-03-31 10:01:22	ga_ls7e_ard_3-2-1_110081_2022-03-31_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