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
1999-07-09 10:02:42	ga_ls7e_ard_3-1-0_099069_1999-07-09_final
2000-04-23 09:13:00	ga_ls7e_ard_3-1-0_090085_2000-04-22_final
2002-02-07 11:40:53	ga_ls7e_ard_3-1-0_115077_2002-02-07_final
2002-08-15 11:07:17	ga_ls7e_ard_3-1-0_110072_2002-08-15_final
2002-10-02 11:06:49	ga_ls7e_ard_3-1-0_110072_2002-10-02_final
2003-04-30 10:56:42	ga_ls7e_ard_3-1-0_108075_2003-04-30_final
2004-05-28 09:57:17	ga_ls7e_ard_3-1-0_098080_2004-05-28_final
2004-07-17 11:25:13	ga_ls7e_ard_3-1-0_112084_2004-07-17_final
2004-08-11 09:35:36	ga_ls7e_ard_3-1-0_095073_2004-08-11_final
2004-10-26 11:40:47	ga_ls7e_ard_3-1-0_115077_2004-10-26_final
2005-04-17 09:27:46	ga_ls7e_ard_3-1-0_094067_2005-04-16_final
2005-11-20 11:06:02	ga_ls7e_ard_3-1-0_109081_2005-11-20_final
2006-01-07 11:06:20	ga_ls7e_ard_3-1-0_109081_2006-01-07_final
2006-02-16 10:14:45	ga_ls7e_ard_3-1-0_101075_2006-02-16_final
2006-07-27 10:57:38	ga_ls7e_ard_3-1-0_108075_2006-07-27_final
2007-01-10 09:29:51	ga_ls7e_ard_3-1-0_093086_2007-01-09_final
2007-05-27 10:56:37	ga_ls7e_ard_3-1-0_108071_2007-05-27_final
2007-06-28 10:58:11	ga_ls7e_ard_3-1-0_108075_2007-06-28_final
2007-07-23 09:17:26	ga_ls7e_ard_3-1-0_091086_2007-07-22_final
2007-10-20 10:45:26	ga_ls7e_ard_3-1-0_106075_2007-10-20_final
2007-12-26 11:19:37	ga_ls7e_ard_3-1-0_111082_2007-12-26_final
2008-01-22 10:58:17	ga_ls7e_ard_3-1-0_108075_2008-01-22_final
2008-09-27 09:14:04	ga_ls7e_ard_3-1-0_091081_2008-09-26_final
2009-02-26 11:42:01	ga_ls7e_ard_3-1-0_115077_2009-02-26_final
2009-04-05 11:06:49	ga_ls7e_ard_3-1-0_109081_2009-04-05_final
2010-03-02 10:47:38	ga_ls7e_ard_3-1-0_106075_2010-03-02_final
2010-03-23 09:30:36	ga_ls7e_ard_3-1-0_093083_2010-03-23_final
2010-08-07 11:00:09	ga_ls7e_ard_3-1-0_108075_2010-08-07_final
2011-02-14 10:18:07	ga_ls7e_ard_3-1-0_101075_2011-02-14_final
2011-07-11 09:14:13	ga_ls7e_ard_3-1-0_090085_2011-07-10_final
2012-06-09 11:05:05	ga_ls7e_ard_3-1-0_108082_2012-06-09_final
2013-01-22 09:56:32	ga_ls7e_ard_3-1-0_097076_2013-01-22_final
2013-01-28 09:23:28	ga_ls7e_ard_3-1-0_091086_2013-01-27_final
2013-02-18 09:34:25	ga_ls7e_ard_3-1-0_094067_2013-02-18_final
2013-05-18 11:12:23	ga_ls7e_ard_3-1-0_109081_2013-05-18_final
2013-09-21 09:42:30	ga_ls7e_ard_3-1-0_095073_2013-09-21_final
2013-12-22 11:48:22	ga_ls7e_ard_3-1-0_115077_2013-12-22_final
2014-06-13 11:16:31	ga_ls7e_ard_3-1-0_110072_2014-06-13_final
2015-06-18 11:07:33	ga_ls7e_ard_3-1-0_108075_2015-06-18_final
2016-04-05 10:43:24	ga_ls7e_ard_3-1-0_104070_2016-04-05_final
2016-10-30 10:43:54	ga_ls7e_ard_3-1-0_104070_2016-10-30_final
2017-05-10 10:43:42	ga_ls7e_ard_3-1-0_104070_2017-05-10_final
2017-06-12 11:31:53	ga_ls7e_ard_3-1-0_111082_2017-06-12_final
2017-09-07 11:38:52	ga_ls7e_ard_3-1-0_112084_2017-09-07_final
2017-10-15 09:22:07	ga_ls7e_ard_3-1-0_090082_2017-10-14_final
2017-11-30 11:10:27	ga_ls7e_ard_3-1-0_108075_2017-11-30_final
2018-11-19 10:52:00	ga_ls7e_ard_3-1-0_106075_2018-11-19_final
2019-02-23 10:50:22	ga_ls7e_ard_3-1-0_106078_2019-02-23_final
2019-02-24 09:55:07	ga_ls7e_ard_3-1-0_097079_2019-02-24_final
2019-03-11 09:15:22	ga_ls7e_ard_3-1-0_090089_2019-03-10_final
2019-03-21 09:48:08	ga_ls7e_ard_3-1-0_096079_2019-03-21_final
2019-03-25 11:00:10	ga_ls7e_ard_3-1-0_108074_2019-03-25_final
2019-03-25 11:03:21	ga_ls7e_ard_3-1-0_108082_2019-03-25_final
2019-05-19 09:29:01	ga_ls7e_ard_3-1-0_093083_2019-05-18_final
2019-08-25 10:46:58	ga_ls7e_ard_3-1-0_107071_2019-08-25_final
2019-08-27 09:00:02	ga_ls7e_ard_3-1-0_089082_2019-08-26_final
2019-09-01 09:15:58	ga_ls7e_ard_3-1-0_092076_2019-08-31_final
2019-09-03 10:40:48	ga_ls7e_ard_3-1-0_106072_2019-09-03_final
2019-09-15 09:30:30	ga_ls7e_ard_3-1-0_094083_2019-09-15_final
2019-09-16 10:10:07	ga_ls7e_ard_3-1-0_101074_2019-09-16_final
2019-09-17 10:57:20	ga_ls7e_ard_3-1-0_108084_2019-09-17_final
2019-09-20 09:48:25	ga_ls7e_ard_3-1-0_097082_2019-09-20_final
2019-09-24 09:23:07	ga_ls7e_ard_3-1-0_093081_2019-09-23_final
2019-09-24 10:58:48	ga_ls7e_ard_3-1-0_109073_2019-09-24_final
2019-09-24 11:02:24	ga_ls7e_ard_3-1-0_109082_2019-09-24_final
2019-10-07 10:26:58	ga_ls7e_ard_3-1-0_104072_2019-10-07_final
2019-10-20 09:53:32	ga_ls7e_ard_3-1-0_099067_2019-10-20_final
2019-10-22 09:48:16	ga_ls7e_ard_3-1-0_097085_2019-10-22_final
2019-10-23 10:25:54	ga_ls7e_ard_3-1-0_104071_2019-10-23_final
2019-10-24 09:31:26	ga_ls7e_ard_3-1-0_095074_2019-10-24_final
2019-11-01 10:18:31	ga_ls7e_ard_3-1-0_103069_2019-11-01_final
2019-11-03 10:09:40	ga_ls7e_ard_3-1-0_101078_2019-11-03_final
2019-11-13 09:07:48	ga_ls7e_ard_3-1-0_091079_2019-11-12_final
2019-11-13 10:48:41	ga_ls7e_ard_3-1-0_107084_2019-11-13_final
2019-11-21 11:34:57	ga_ls7e_ard_3-1-0_115077_2019-11-21_final
2019-11-23 09:45:13	ga_ls7e_ard_3-1-0_097081_2019-11-23_final
2019-11-25 11:12:50	ga_ls7e_ard_3-1-0_111084_2019-11-25_final
2019-12-03 10:18:37	ga_ls7e_ard_3-1-0_103073_2019-12-03_final
2019-12-04 11:01:02	ga_ls7e_ard_3-1-0_110071_2019-12-04_final
2019-12-22 10:48:10	ga_ls7e_ard_3-1-0_108072_2019-12-22_final
2019-12-28 10:10:46	ga_ls7e_ard_3-1-0_102072_2019-12-28_final
2020-01-05 11:01:47	ga_ls7e_ard_3-1-0_110077_2020-01-05_final
2020-01-06 10:04:07	ga_ls7e_ard_3-1-0_101072_2020-01-06_final
2020-01-08 09:56:26	ga_ls7e_ard_3-1-0_099084_2020-01-08_final
2020-01-11 10:23:36	ga_ls7e_ard_3-1-0_104075_2020-01-11_final
2020-01-12 09:30:20	ga_ls7e_ard_3-1-0_095081_2020-01-12_final
2020-01-16 10:41:06	ga_ls7e_ard_3-1-0_107073_2020-01-16_final
2020-01-21 11:00:12	ga_ls7e_ard_3-1-0_110075_2020-01-21_final
2020-01-21 11:02:59	ga_ls7e_ard_3-1-0_110082_2020-01-21_final
2020-01-26 11:20:29	ga_ls7e_ard_3-1-0_113080_2020-01-26_final
2020-01-26 11:20:53	ga_ls7e_ard_3-1-0_113081_2020-01-26_final
2020-02-22 09:22:05	ga_ls7e_ard_3-1-0_094081_2020-02-21_final
2020-02-24 10:48:53	ga_ls7e_ard_3-1-0_108082_2020-02-24_final
2020-02-26 10:34:02	ga_ls7e_ard_3-1-0_106076_2020-02-26_final
2020-03-02 09:13:25	ga_ls7e_ard_3-1-0_093076_2020-03-01_final
2020-03-10 10:04:25	ga_ls7e_ard_3-1-0_101081_2020-03-10_final
2020-03-13 08:55:29	ga_ls7e_ard_3-1-0_090079_2020-03-12_final
2020-03-14 09:39:29	ga_ls7e_ard_3-1-0_097081_2020-03-14_final
2020-03-20 10:37:46	ga_ls7e_ard_3-1-0_107073_2020-03-20_final
2020-03-21 09:43:17	ga_ls7e_ard_3-1-0_098076_2020-03-21_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