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
1999-09-30 09:00:09	ga_ls7e_ard_3-0-0_088082_1999-09-29_final
1999-12-04 09:43:38	ga_ls7e_ard_3-0-0_095083_1999-12-04_final
2000-09-22 11:35:53	ga_ls7e_ard_3-0-0_114076_2000-09-22_final
2000-11-20 09:37:07	ga_ls7e_ard_3-1-0_095073_2000-11-20_final
2001-08-19 09:36:01	ga_ls7e_ard_3-0-0_095074_2001-08-19_final
2001-10-27 11:34:55	ga_ls7e_ard_3-0-0_114079_2001-10-27_final
2002-01-06 11:40:18	ga_ls7e_ard_3-0-0_115076_2002-01-06_final
2002-02-07 11:40:29	ga_ls7e_ard_3-0-0_115076_2002-02-07_final
2003-11-09 11:40:53	ga_ls7e_ard_3-0-0_115078_2003-11-09_final
2003-12-31 09:39:18	ga_ls7e_ard_3-0-0_095082_2003-12-31_final
2004-01-12 11:40:07	ga_ls7e_ard_3-0-0_115075_2004-01-12_final
2004-02-01 09:39:29	ga_ls7e_ard_3-0-0_095082_2004-02-01_final
2004-04-26 11:35:22	ga_ls7e_ard_3-0-0_114078_2004-04-26_final
2004-09-12 09:40:39	ga_ls7e_ard_3-0-0_095086_2004-09-12_final
2004-12-29 11:40:32	ga_ls7e_ard_3-0-0_115075_2004-12-29_final
2005-02-02 08:56:12	ga_ls7e_ard_3-0-0_088081_2005-02-01_final
2005-05-15 11:31:27	ga_ls7e_ard_3-0-0_114067_2005-05-15_final
2005-07-13 09:38:37	ga_ls7e_ard_3-1-0_095079_2005-07-13_final
2005-09-15 09:40:39	ga_ls7e_ard_3-0-0_095085_2005-09-15_final
2005-10-17 09:35:57	ga_ls7e_ard_3-1-0_095073_2005-10-17_final
2005-10-17 09:39:32	ga_ls7e_ard_3-0-0_095082_2005-10-17_final
2005-11-23 11:36:10	ga_ls7e_ard_3-0-0_114079_2005-11-23_final
2006-01-05 09:40:35	ga_ls7e_ard_3-0-0_095083_2006-01-05_final
2006-01-21 09:41:31	ga_ls7e_ard_3-0-0_095085_2006-01-21_final
2006-06-14 09:42:00	ga_ls7e_ard_3-0-0_095086_2006-06-14_final
2006-08-16 08:56:24	ga_ls7e_ard_3-0-0_088081_2006-08-15_final
2006-08-22 11:35:53	ga_ls7e_ard_3-0-0_114078_2006-08-22_final
2007-03-29 09:41:44	ga_ls7e_ard_3-0-0_095084_2007-03-29_final
2007-09-21 09:40:11	ga_ls7e_ard_3-0-0_095082_2007-09-21_final
2008-02-08 11:42:42	ga_ls7e_ard_3-0-0_115078_2008-02-08_final
2008-08-22 09:41:06	ga_ls7e_ard_3-0-0_095086_2008-08-22_final
2008-11-26 09:39:41	ga_ls7e_ard_3-0-0_095082_2008-11-26_final
2009-04-03 09:37:05	ga_ls7e_ard_3-1-0_095073_2009-04-03_final
2010-01-16 09:41:55	ga_ls7e_ard_3-0-0_095082_2010-01-16_final
2010-07-10 08:58:57	ga_ls7e_ard_3-0-0_088081_2010-07-09_final
2010-12-18 09:39:26	ga_ls7e_ard_3-0-0_095072_2010-12-18_final
2011-04-05 11:45:38	ga_ls7e_ard_3-1-0_115077_2011-04-05_final
2011-09-21 11:40:41	ga_ls7e_ard_3-0-0_114081_2011-09-21_final
2011-11-19 09:38:02	ga_ls7e_ard_3-0-0_095067_2011-11-19_final
2011-11-24 11:38:42	ga_ls7e_ard_3-0-0_114075_2011-11-24_final
2012-11-26 11:43:01	ga_ls7e_ard_3-0-0_114080_2012-11-26_final
2013-11-04 11:46:55	ga_ls7e_ard_3-0-0_115074_2013-11-04_final
2014-02-01 11:41:30	ga_ls7e_ard_3-0-0_114074_2014-02-01_final
2014-02-08 11:47:41	ga_ls7e_ard_3-0-0_115074_2014-02-08_final
2014-07-18 11:48:20	ga_ls7e_ard_3-0-0_115074_2014-07-18_final
2014-08-19 11:48:51	ga_ls7e_ard_3-0-0_115075_2014-08-19_final
2014-09-20 11:49:43	ga_ls7e_ard_3-1-0_115077_2014-09-20_final
2014-10-10 09:48:21	ga_ls7e_ard_3-0-0_095082_2014-10-10_final
2014-11-11 09:45:03	ga_ls7e_ard_3-1-0_095073_2014-11-11_final
2014-12-29 09:48:54	ga_ls7e_ard_3-0-0_095082_2014-12-29_final
2015-01-29 09:05:47	ga_ls7e_ard_3-0-0_088082_2015-01-28_final
2015-04-16 11:50:49	ga_ls7e_ard_3-0-0_115076_2015-04-16_final
2015-07-14 11:41:34	ga_ls7e_ard_3-0-0_114067_2015-07-14_final
2015-11-19 11:47:48	ga_ls7e_ard_3-0-0_114080_2015-11-19_final
2016-01-17 09:52:03	ga_ls7e_ard_3-0-0_095082_2016-01-17_final
2016-12-18 09:54:25	ga_ls7e_ard_3-0-0_095086_2016-12-18_final
2017-03-29 11:47:40	ga_ls7e_ard_3-0-0_114076_2017-03-29_final
2017-05-23 11:54:06	ga_ls7e_ard_3-0-0_115076_2017-05-23_final
2018-01-22 09:49:28	ga_ls7e_ard_3-0-0_095075_2018-01-22_final
2018-10-21 09:47:28	ga_ls7e_ard_3-0-0_095082_2018-10-21_final
2019-01-05 11:46:43	ga_ls7e_ard_3-0-0_115076_2019-01-05_final
2019-01-09 09:46:58	ga_ls7e_ard_3-0-0_095086_2019-01-09_final
2019-03-26 11:44:11	ga_ls7e_ard_3-1-0_115076_2019-03-26_final
2019-05-01 09:40:53	ga_ls7e_ard_3-1-0_095080_2019-05-01_final
2020-04-29 11:25:18	ga_ls7e_ard_3-1-0_115074_2020-04-29_final
2020-07-27 11:13:46	ga_ls7e_ard_3-1-0_114074_2020-07-27_final
2020-08-28 11:14:07	ga_ls7e_ard_3-1-0_114080_2020-08-28_final
2020-09-04 11:18:15	ga_ls7e_ard_3-1-0_115076_2020-09-04_final
2021-03-08 09:20:34	ga_ls7e_ard_3-2-0_098077_2021-03-07_final
2021-03-19 10:41:37	ga_ls7e_ard_3-2-0_111081_2021-03-19_final
2021-04-09 09:18:22	ga_ls7e_ard_3-2-0_098078_2021-04-08_final
2021-05-04 09:11:17	ga_ls7e_ard_3-2-0_097081_2021-05-03_final
2021-05-04 10:44:35	ga_ls7e_ard_3-2-0_113067_2021-05-04_final
2021-05-06 10:33:39	ga_ls7e_ard_3-2-0_111071_2021-05-06_final
2021-05-07 09:42:20	ga_ls7e_ard_3-2-0_102082_2021-05-07_final
2021-05-15 10:27:07	ga_ls7e_ard_3-2-0_110072_2021-05-15_final
2021-05-19 10:01:15	ga_ls7e_ard_3-2-0_106070_2021-05-19_final
2021-06-16 10:28:25	ga_ls7e_ard_3-2-0_110082_2021-06-16_final
2021-06-19 10:57:29	ga_ls7e_ard_3-2-0_115078_2021-06-19_final
2021-08-02 09:35:35	ga_ls7e_ard_3-2-0_103068_2021-08-02_final
2021-08-11 09:31:24	ga_ls7e_ard_3-2-0_102075_2021-08-11_final
2021-08-12 10:12:58	ga_ls7e_ard_3-2-0_109071_2021-08-12_final
2021-08-25 09:40:32	ga_ls7e_ard_3-2-0_104070_2021-08-25_final
2021-08-31 09:02:09	ga_ls7e_ard_3-2-0_098068_2021-08-30_final
2021-09-02 08:54:00	ga_ls7e_ard_3-2-0_096079_2021-09-01_final
2021-09-08 09:51:17	ga_ls7e_ard_3-2-0_106069_2021-09-08_final
2021-10-03 09:42:29	ga_ls7e_ard_3-2-0_105068_2021-10-03_final
2021-10-04 08:53:33	ga_ls7e_ard_3-2-0_096085_2021-10-03_final
2021-10-16 09:16:01	ga_ls7e_ard_3-2-0_100082_2021-10-15_final
2021-10-25 09:03:02	ga_ls7e_ard_3-2-0_099067_2021-10-24_final
2021-10-30 09:21:31	ga_ls7e_ard_3-2-0_102068_2021-10-29_final
2021-11-13 09:36:08	ga_ls7e_ard_3-2-1_104077_2021-11-13_final
2021-12-25 08:29:30	ga_ls7e_ard_3-2-1_094075_2021-12-24_final
2021-12-27 09:55:25	ga_ls7e_ard_3-2-1_108074_2021-12-27_final
2022-01-05 09:47:31	ga_ls7e_ard_3-2-1_107072_2022-01-05_final
2022-01-06 08:51:49	ga_ls7e_ard_3-2-1_098072_2022-01-05_final
2022-03-01 09:52:43	ga_ls7e_ard_3-2-1_108083_2022-03-01_final
2022-03-08 09:58:37	ga_ls7e_ard_3-2-1_109084_2022-03-08_final
2022-03-11 10:27:37	ga_ls7e_ard_3-2-1_114080_2022-03-11_final
2022-03-13 08:33:23	ga_ls7e_ard_3-2-1_096073_2022-03-12_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