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
1999-10-07 09:05:57	ga_ls7e_ard_3-1-0_089081_1999-10-06_final
2001-04-10 10:45:40	ga_ls7e_ard_3-1-0_106075_2001-04-10_final
2002-02-01 09:01:43	ga_ls7e_ard_3-1-0_089081_2002-01-31_final
2002-10-06 09:08:24	ga_ls7e_ard_3-1-0_090085_2002-10-05_final
2003-08-12 10:09:42	ga_ls7e_ard_3-1-0_100082_2003-08-12_final
2003-11-13 09:35:21	ga_ls7e_ard_3-1-0_095073_2003-11-13_final
2004-04-10 09:57:21	ga_ls7e_ard_3-1-0_098080_2004-04-10_final
2004-07-03 11:08:07	ga_ls7e_ard_3-1-0_110072_2004-07-03_final
2004-09-15 10:05:32	ga_ls7e_ard_3-1-0_100071_2004-09-15_final
2004-09-25 09:09:18	ga_ls7e_ard_3-1-0_090085_2004-09-24_final
2005-02-10 11:25:49	ga_ls7e_ard_3-1-0_112084_2005-02-10_final
2005-03-16 11:06:49	ga_ls7e_ard_3-1-0_110067_2005-03-16_final
2005-09-12 10:44:40	ga_ls7e_ard_3-1-0_106075_2005-09-12_final
2005-11-23 09:57:41	ga_ls7e_ard_3-1-0_098080_2005-11-23_final
2005-12-26 09:02:36	ga_ls7e_ard_3-1-0_089081_2005-12-25_final
2006-06-11 10:45:36	ga_ls7e_ard_3-1-0_106075_2006-06-11_final
2006-08-07 09:05:48	ga_ls7e_ard_3-1-0_089089_2006-08-06_final
2006-12-03 10:01:13	ga_ls7e_ard_3-1-0_099072_2006-12-03_final
2007-01-10 09:30:15	ga_ls7e_ard_3-1-0_093087_2007-01-10_final
2007-01-17 11:09:19	ga_ls7e_ard_3-1-0_110072_2007-01-17_final
2007-02-02 11:09:27	ga_ls7e_ard_3-1-0_110072_2007-02-02_final
2007-06-10 09:28:29	ga_ls7e_ard_3-1-0_094067_2007-06-09_final
2008-02-09 10:45:53	ga_ls7e_ard_3-1-0_106075_2008-02-09_final
2008-05-11 11:09:07	ga_ls7e_ard_3-1-0_110072_2008-05-11_final
2008-05-27 11:10:13	ga_ls7e_ard_3-1-0_110075_2008-05-27_final
2008-07-14 11:08:31	ga_ls7e_ard_3-1-0_110072_2008-07-14_final
2008-09-07 11:18:16	ga_ls7e_ard_3-1-0_111082_2008-09-07_final
2008-12-28 09:36:24	ga_ls7e_ard_3-1-0_095073_2008-12-28_final
2009-08-06 10:45:47	ga_ls7e_ard_3-1-0_106075_2009-08-06_final
2009-10-25 10:45:53	ga_ls7e_ard_3-1-0_106075_2009-10-25_final
2010-03-14 11:11:14	ga_ls7e_ard_3-1-0_110072_2010-03-14_final
2010-05-31 11:28:23	ga_ls7e_ard_3-1-0_112084_2010-05-31_final
2010-11-13 10:48:17	ga_ls7e_ard_3-1-0_106075_2010-11-13_final
2010-11-26 10:17:32	ga_ls7e_ard_3-1-0_101075_2010-11-26_final
2011-03-17 11:12:40	ga_ls7e_ard_3-1-0_110072_2011-03-17_final
2012-02-20 10:49:43	ga_ls7e_ard_3-1-0_106075_2012-02-20_final
2012-03-12 09:26:09	ga_ls7e_ard_3-1-0_093067_2012-03-11_final
2012-06-27 10:50:05	ga_ls7e_ard_3-1-0_106075_2012-06-27_final
2013-04-07 09:34:16	ga_ls7e_ard_3-1-0_094067_2013-04-07_final
2013-04-27 10:51:30	ga_ls7e_ard_3-1-0_106075_2013-04-27_final
2014-02-25 09:17:24	ga_ls7e_ard_3-1-0_090085_2014-02-24_final
2014-08-04 10:53:14	ga_ls7e_ard_3-1-0_106075_2014-08-04_final
2015-01-14 09:45:22	ga_ls7e_ard_3-1-0_095073_2015-01-14_final
2015-06-17 10:24:18	ga_ls7e_ard_3-1-0_101075_2015-06-17_final
2015-08-10 11:29:06	ga_ls7e_ard_3-1-0_111082_2015-08-10_final
2015-09-17 09:16:03	ga_ls7e_ard_3-1-0_089089_2015-09-16_final
2015-10-06 09:38:14	ga_ls7e_ard_3-1-0_094067_2015-10-06_final
2016-02-11 11:20:58	ga_ls7e_ard_3-1-0_110072_2016-02-11_final
2016-03-21 11:31:24	ga_ls7e_ard_3-1-0_111082_2016-03-21_final
2016-09-12 10:43:56	ga_ls7e_ard_3-1-0_104070_2016-09-12_final
2016-09-22 11:21:50	ga_ls7e_ard_3-1-0_110072_2016-09-22_final
2016-11-29 10:58:06	ga_ls7e_ard_3-1-0_106075_2016-11-29_final
2016-12-15 10:58:01	ga_ls7e_ard_3-1-0_106075_2016-12-15_final
2017-05-29 09:42:34	ga_ls7e_ard_3-1-0_093087_2017-05-29_final
2017-07-07 11:21:46	ga_ls7e_ard_3-1-0_110072_2017-07-07_final
2017-07-23 09:40:53	ga_ls7e_ard_3-1-0_094067_2017-07-23_final
2017-11-25 09:15:27	ga_ls7e_ard_3-1-0_089081_2017-11-24_final
2018-11-19 09:15:55	ga_ls7e_ard_3-1-0_090082_2018-11-18_final
2019-02-15 10:01:58	ga_ls7e_ard_3-1-0_098080_2019-02-15_final
2019-02-22 10:04:45	ga_ls7e_ard_3-1-0_099072_2019-02-22_final
2019-02-22 11:46:01	ga_ls7e_ard_3-1-0_115078_2019-02-22_final
2019-02-23 10:47:11	ga_ls7e_ard_3-1-0_106070_2019-02-23_final
2019-03-14 11:18:40	ga_ls7e_ard_3-1-0_111073_2019-03-14_final
2019-03-26 11:43:47	ga_ls7e_ard_3-1-0_115075_2019-03-26_final
2019-03-29 10:32:55	ga_ls7e_ard_3-1-0_104068_2019-03-29_final
2019-09-05 10:26:45	ga_ls7e_ard_3-1-0_104068_2019-09-05_final
2019-09-22 09:32:22	ga_ls7e_ard_3-1-0_095073_2019-09-22_final
2019-09-24 11:00:00	ga_ls7e_ard_3-1-0_109076_2019-09-24_final
2019-10-05 10:39:49	ga_ls7e_ard_3-1-0_106073_2019-10-05_final
2019-10-13 11:26:32	ga_ls7e_ard_3-1-0_114067_2019-10-13_final
2019-10-15 11:14:05	ga_ls7e_ard_3-1-0_112067_2019-10-15_final
2019-10-18 10:11:58	ga_ls7e_ard_3-1-0_101082_2019-10-18_final
2019-11-06 10:36:50	ga_ls7e_ard_3-1-0_106069_2019-11-06_final
2019-11-12 10:03:04	ga_ls7e_ard_3-1-0_100078_2019-11-12_final
2019-11-21 11:33:46	ga_ls7e_ard_3-1-0_115074_2019-11-21_final
2019-11-28 09:59:55	ga_ls7e_ard_3-1-0_100072_2019-11-28_final
2019-11-29 10:47:08	ga_ls7e_ard_3-1-0_107082_2019-11-29_final
2019-12-04 11:02:38	ga_ls7e_ard_3-1-0_110075_2019-12-04_final
2019-12-08 10:40:30	ga_ls7e_ard_3-1-0_106082_2019-12-08_final
2020-01-01 09:47:50	ga_ls7e_ard_3-1-0_098077_2020-01-01_final
2020-01-01 09:48:14	ga_ls7e_ard_3-1-0_098078_2020-01-01_final
2020-01-05 09:24:54	ga_ls7e_ard_3-1-0_094082_2020-01-04_final
2020-01-20 10:15:23	ga_ls7e_ard_3-1-0_103071_2020-01-20_final
2020-02-02 11:23:55	ga_ls7e_ard_3-1-0_114074_2020-02-02_final
2020-02-05 10:18:35	ga_ls7e_ard_3-1-0_103081_2020-02-05_final
2020-02-09 11:29:45	ga_ls7e_ard_3-1-0_115074_2020-02-09_final
2020-02-11 09:40:47	ga_ls7e_ard_3-1-0_097080_2020-02-11_final
2020-02-20 11:14:37	ga_ls7e_ard_3-1-0_112084_2020-02-20_final
2020-02-21 10:14:09	ga_ls7e_ard_3-1-0_103072_2020-02-21_final
2020-02-23 10:05:41	ga_ls7e_ard_3-1-0_101082_2020-02-23_final
2020-02-29 11:03:58	ga_ls7e_ard_3-1-0_111074_2020-02-29_final
2020-03-02 10:52:18	ga_ls7e_ard_3-1-0_109076_2020-03-02_final
2020-03-05 11:22:15	ga_ls7e_ard_3-1-0_114074_2020-03-05_final
2020-03-12 11:28:50	ga_ls7e_ard_3-1-0_115076_2020-03-12_final
2020-03-18 10:51:26	ga_ls7e_ard_3-1-0_109076_2020-03-18_final
2020-03-21 09:40:05	ga_ls7e_ard_3-1-0_098068_2020-03-21_final
2020-03-29 08:54:12	ga_ls7e_ard_3-1-0_090078_2020-03-28_final
2020-04-25 10:10:35	ga_ls7e_ard_3-1-0_103072_2020-04-25_final
2020-04-29 09:43:37	ga_ls7e_ard_3-1-0_099067_2020-04-29_final
2022-03-22 08:26:19	ga_ls7e_ard_3-2-1_095073_2022-03-21_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