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
1999-08-10 11:44:06	ga_ls7e_ard_3-0-0_115075_1999-08-10_final
1999-12-16 11:44:10	ga_ls7e_ard_3-0-0_115075_1999-12-16_final
2000-02-02 11:44:00	ga_ls7e_ard_3-0-0_115075_2000-02-02_final
2000-07-11 11:42:42	ga_ls7e_ard_3-0-0_115075_2000-07-11_final
2000-07-11 11:44:18	ga_ls7e_ard_3-0-0_115079_2000-07-11_final
2000-09-13 11:43:03	ga_ls7e_ard_3-0-0_115078_2000-09-13_final
2000-09-29 11:42:51	ga_ls7e_ard_3-0-0_115078_2000-09-29_final
2000-10-31 11:41:34	ga_ls7e_ard_3-0-0_115075_2000-10-31_final
2001-06-16 09:37:10	ga_ls7e_ard_3-0-0_095075_2001-06-16_final
2002-02-23 11:41:18	ga_ls7e_ard_3-0-0_115078_2002-02-23_final
2002-07-01 11:40:50	ga_ls7e_ard_3-0-0_115078_2002-07-01_final
2002-09-19 11:40:10	ga_ls7e_ard_3-0-0_115078_2002-09-19_final
2004-02-13 11:39:55	ga_ls7e_ard_3-0-0_115074_2004-02-13_final
2004-04-01 11:41:40	ga_ls7e_ard_3-0-0_115078_2004-04-01_final
2004-12-17 09:36:01	ga_ls7e_ard_3-1-0_095073_2004-12-17_final
2005-05-22 11:40:48	ga_ls7e_ard_3-0-0_115075_2005-05-22_final
2005-05-22 11:42:24	ga_ls7e_ard_3-0-0_115079_2005-05-22_final
2005-07-25 11:40:13	ga_ls7e_ard_3-0-0_115074_2005-07-25_final
2005-09-11 11:41:53	ga_ls7e_ard_3-0-0_115079_2005-09-11_final
2006-01-01 11:42:33	ga_ls7e_ard_3-0-0_115079_2006-01-01_final
2006-02-18 11:42:04	ga_ls7e_ard_3-1-0_115077_2006-02-18_final
2006-10-16 11:40:42	ga_ls7e_ard_3-0-0_115075_2006-10-16_final
2006-10-16 11:41:30	ga_ls7e_ard_3-1-0_115077_2006-10-16_final
2006-11-17 11:41:09	ga_ls7e_ard_3-0-0_115075_2006-11-17_final
2007-02-05 11:42:46	ga_ls7e_ard_3-0-0_115078_2007-02-05_final
2007-06-13 11:41:28	ga_ls7e_ard_3-0-0_115075_2007-06-13_final
2007-11-20 11:40:58	ga_ls7e_ard_3-0-0_115074_2007-11-20_final
2008-01-27 09:36:44	ga_ls7e_ard_3-0-0_095072_2008-01-27_final
2008-08-02 11:40:27	ga_ls7e_ard_3-0-0_115075_2008-08-02_final
2008-08-02 11:40:51	ga_ls7e_ard_3-0-0_115076_2008-08-02_final
2009-03-14 11:42:33	ga_ls7e_ard_3-0-0_115078_2009-03-14_final
2010-02-01 09:38:33	ga_ls7e_ard_3-1-0_095073_2010-02-01_final
2010-07-11 09:36:37	ga_ls7e_ard_3-0-0_095067_2010-07-11_final
2010-12-07 11:38:23	ga_ls7e_ard_3-0-0_114076_2010-12-07_final
2011-01-19 09:40:31	ga_ls7e_ard_3-0-0_095074_2011-01-19_final
2012-02-23 09:40:56	ga_ls7e_ard_3-1-0_095073_2012-02-23_final
2012-04-16 11:35:53	ga_ls7e_ard_3-0-0_114067_2012-04-16_final
2012-04-26 09:01:03	ga_ls7e_ard_3-0-0_088081_2012-04-25_final
2013-01-23 09:03:19	ga_ls7e_ard_3-0-0_088082_2013-01-22_final
2013-02-05 11:48:37	ga_ls7e_ard_3-0-0_115078_2013-02-05_final
2013-07-03 09:47:30	ga_ls7e_ard_3-0-0_095086_2013-07-03_final
2013-08-18 11:37:45	ga_ls7e_ard_3-0-0_113084_2013-08-18_final
2013-11-20 11:48:58	ga_ls7e_ard_3-0-0_115079_2013-11-20_final
2014-01-07 11:48:03	ga_ls7e_ard_3-0-0_115076_2014-01-07_final
2014-02-27 09:03:27	ga_ls7e_ard_3-0-0_088081_2014-02-26_final
2015-03-31 11:50:40	ga_ls7e_ard_3-0-0_115076_2015-03-31_final
2015-05-02 11:50:31	ga_ls7e_ard_3-0-0_115075_2015-05-02_final
2015-09-07 11:52:17	ga_ls7e_ard_3-0-0_115078_2015-09-07_final
2016-02-02 09:52:36	ga_ls7e_ard_3-0-0_095083_2016-02-02_final
2016-09-25 11:55:33	ga_ls7e_ard_3-0-0_115079_2016-09-25_final
2016-11-12 11:54:58	ga_ls7e_ard_3-0-0_115078_2016-11-12_final
2017-09-16 09:48:59	ga_ls7e_ard_3-0-0_095072_2017-09-16_final
2018-05-10 11:52:42	ga_ls7e_ard_3-0-0_115078_2018-05-10_final
2018-05-30 09:44:24	ga_ls7e_ard_3-0-0_095067_2018-05-30_final
2020-05-24 11:17:35	ga_ls7e_ard_3-1-0_114074_2020-05-24_final
2020-11-07 11:14:51	ga_ls7e_ard_3-1-0_115078_2020-11-07_final
2021-02-15 10:45:19	ga_ls7e_ard_3-2-0_111084_2021-02-15_final
2021-02-27 09:23:27	ga_ls7e_ard_3-2-0_099067_2021-02-26_final
2021-03-04 09:42:00	ga_ls7e_ard_3-2-0_102068_2021-03-04_final
2021-03-15 09:22:12	ga_ls7e_ard_3-2-0_099067_2021-03-14_final
2021-03-21 08:47:50	ga_ls7e_ard_3-2-0_093075_2021-03-20_final
2021-03-25 08:25:35	ga_ls7e_ard_3-2-0_089082_2021-03-24_final
2021-04-09 09:20:46	ga_ls7e_ard_3-2-0_098084_2021-04-08_final
2021-04-15 08:39:59	ga_ls7e_ard_3-2-0_092076_2021-04-14_final
2021-05-04 10:47:22	ga_ls7e_ard_3-2-0_113074_2021-05-04_final
2021-05-11 09:18:05	ga_ls7e_ard_3-2-0_098084_2021-05-10_final
2021-05-27 10:52:48	ga_ls7e_ard_3-2-0_114077_2021-05-27_final
2021-06-04 08:24:36	ga_ls7e_ard_3-2-0_090079_2021-06-03_final
2021-07-23 09:06:10	ga_ls7e_ard_3-2-0_097085_2021-07-22_final
2021-07-31 08:13:38	ga_ls7e_ard_3-2-0_089079_2021-07-30_final
2021-08-02 09:40:46	ga_ls7e_ard_3-2-0_103081_2021-08-02_final
2021-08-07 09:56:52	ga_ls7e_ard_3-2-0_106076_2021-08-07_final
2021-08-10 08:47:26	ga_ls7e_ard_3-2-0_095073_2021-08-09_final
2021-08-10 10:25:30	ga_ls7e_ard_3-2-0_111071_2021-08-10_final
2021-08-15 09:03:31	ga_ls7e_ard_3-2-0_098068_2021-08-14_final
2021-08-18 09:35:45	ga_ls7e_ard_3-2-0_103072_2021-08-18_final
2021-09-06 08:32:07	ga_ls7e_ard_3-2-0_092087_2021-09-05_final
2021-09-06 10:04:13	ga_ls7e_ard_3-2-0_108070_2021-09-06_final
2021-09-08 09:53:41	ga_ls7e_ard_3-2-0_106075_2021-09-08_final
2021-10-12 09:35:31	ga_ls7e_ard_3-2-0_104068_2021-10-12_final
2021-10-18 09:01:53	ga_ls7e_ard_3-2-0_098078_2021-10-17_final
2021-10-19 09:46:39	ga_ls7e_ard_3-2-0_105082_2021-10-19_final
2021-10-28 09:34:04	ga_ls7e_ard_3-2-0_104068_2021-10-28_final
2021-12-03 09:11:06	ga_ls7e_ard_3-2-1_100081_2021-12-02_final
2021-12-03 09:11:53	ga_ls7e_ard_3-2-1_100083_2021-12-02_final
2021-12-19 09:05:58	ga_ls7e_ard_3-2-1_100072_2021-12-18_final
2021-12-19 09:06:22	ga_ls7e_ard_3-2-1_100073_2021-12-18_final
2021-12-27 09:55:49	ga_ls7e_ard_3-2-1_108075_2021-12-27_final
2022-01-01 08:34:10	ga_ls7e_ard_3-2-1_095073_2021-12-31_final
2022-01-05 09:49:07	ga_ls7e_ard_3-2-1_107076_2022-01-05_final
2022-01-06 10:34:17	ga_ls7e_ard_3-2-1_114081_2022-01-06_final
2022-01-08 10:18:57	ga_ls7e_ard_3-2-1_112074_2022-01-08_final
2022-01-15 08:44:48	ga_ls7e_ard_3-2-1_097072_2022-01-14_final
2022-01-16 09:26:22	ga_ls7e_ard_3-2-1_104068_2022-01-15_final
2022-01-17 08:32:15	ga_ls7e_ard_3-2-1_095072_2022-01-16_final
2022-02-08 09:32:40	ga_ls7e_ard_3-2-1_105074_2022-02-08_final
2022-02-23 08:47:07	ga_ls7e_ard_3-2-1_098072_2022-02-22_final
2022-03-03 09:36:59	ga_ls7e_ard_3-2-1_106075_2022-03-03_final
2022-03-06 08:27:31	ga_ls7e_ard_3-2-1_095072_2022-03-05_final
2022-03-19 08:00:53	ga_ls7e_ard_3-2-1_090086_2022-03-18_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