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
1999-08-23 11:12:00	ga_ls7e_ard_3-1-0_110072_1999-08-23_final
2001-01-23 11:19:48	ga_ls7e_ard_3-1-0_111082_2001-01-23_final
2001-02-06 09:50:46	ga_ls7e_ard_3-1-0_097076_2001-02-06_final
2002-08-03 09:08:54	ga_ls7e_ard_3-1-0_090085_2002-08-02_final
2002-08-27 09:56:07	ga_ls7e_ard_3-1-0_098080_2002-08-27_final
2003-02-03 09:56:43	ga_ls7e_ard_3-1-0_098080_2003-02-03_final
2003-11-07 10:13:07	ga_ls7e_ard_3-1-0_101075_2003-11-07_final
2004-02-11 10:13:48	ga_ls7e_ard_3-1-0_101075_2004-02-11_final
2004-08-11 09:35:36	ga_ls7e_ard_3-1-0_095073_2004-08-11_final
2004-09-15 10:09:31	ga_ls7e_ard_3-1-0_100081_2004-09-15_final
2005-04-30 09:02:30	ga_ls7e_ard_3-1-0_089081_2005-04-29_final
2005-05-01 11:25:51	ga_ls7e_ard_3-1-0_112084_2005-05-01_final
2005-05-16 09:02:32	ga_ls7e_ard_3-1-0_089081_2005-05-15_final
2005-05-28 11:06:06	ga_ls7e_ard_3-1-0_109081_2005-05-28_final
2006-12-23 11:19:29	ga_ls7e_ard_3-1-0_111082_2006-12-23_final
2007-01-26 09:29:55	ga_ls7e_ard_3-1-0_093086_2007-01-25_final
2008-04-29 09:10:46	ga_ls7e_ard_3-1-0_090085_2008-04-28_final
2008-07-20 10:30:34	ga_ls7e_ard_3-1-0_104070_2008-07-20_final
2009-06-12 09:03:21	ga_ls7e_ard_3-1-0_089081_2009-06-11_final
2009-10-11 10:31:17	ga_ls7e_ard_3-1-0_104070_2009-10-11_final
2009-12-06 11:27:06	ga_ls7e_ard_3-1-0_112084_2009-12-06_final
2010-02-01 11:21:01	ga_ls7e_ard_3-1-0_111082_2010-02-01_final
2010-03-30 09:36:48	ga_ls7e_ard_3-1-0_094083_2010-03-30_final
2010-03-31 10:16:53	ga_ls7e_ard_3-1-0_101075_2010-03-31_final
2010-06-14 10:00:16	ga_ls7e_ard_3-1-0_098080_2010-06-14_final
2010-10-28 10:48:05	ga_ls7e_ard_3-1-0_106075_2010-10-28_final
2011-08-04 10:01:35	ga_ls7e_ard_3-1-0_098080_2011-08-04_final
2012-01-24 09:32:25	ga_ls7e_ard_3-1-0_093083_2012-01-24_final
2012-05-10 09:15:20	ga_ls7e_ard_3-1-0_090085_2012-05-09_final
2013-02-06 09:16:54	ga_ls7e_ard_3-1-0_090085_2013-02-05_final
2013-06-27 10:19:03	ga_ls7e_ard_3-1-0_101072_2013-06-27_final
2014-07-22 09:44:22	ga_ls7e_ard_3-1-0_095073_2014-07-22_final
2014-08-06 10:38:53	ga_ls7e_ard_3-1-0_104070_2014-08-06_final
2014-08-12 10:05:47	ga_ls7e_ard_3-1-0_098080_2014-08-12_final
2015-02-08 11:17:48	ga_ls7e_ard_3-1-0_110072_2015-02-08_final
2015-07-31 09:12:41	ga_ls7e_ard_3-1-0_089081_2015-07-30_final
2016-03-26 10:10:17	ga_ls7e_ard_3-1-0_098080_2016-03-26_final
2016-03-31 10:26:51	ga_ls7e_ard_3-1-0_101075_2016-03-31_final
2016-07-16 10:10:42	ga_ls7e_ard_3-1-0_098080_2016-07-16_final
2016-11-16 11:31:49	ga_ls7e_ard_3-1-0_111082_2016-11-16_final
2017-02-10 09:14:49	ga_ls7e_ard_3-1-0_089081_2017-02-09_final
2017-03-22 10:02:34	ga_ls7e_ard_3-1-0_097076_2017-03-22_final
2018-03-01 09:14:17	ga_ls7e_ard_3-1-0_089081_2018-02-28_final
2018-09-03 11:27:28	ga_ls7e_ard_3-1-0_111082_2018-09-03_final
2019-02-10 11:23:16	ga_ls7e_ard_3-1-0_111082_2019-02-10_final
2019-02-23 09:11:29	ga_ls7e_ard_3-1-0_090078_2019-02-22_final
2019-02-25 10:36:21	ga_ls7e_ard_3-1-0_104074_2019-02-25_final
2019-03-02 10:57:56	ga_ls7e_ard_3-1-0_107082_2019-03-02_final
2019-03-08 10:18:40	ga_ls7e_ard_3-1-0_101077_2019-03-08_final
2019-03-12 11:33:29	ga_ls7e_ard_3-1-0_113079_2019-03-12_final
2019-03-13 10:37:02	ga_ls7e_ard_3-1-0_104077_2019-03-13_final
2019-06-20 09:27:52	ga_ls7e_ard_3-1-0_093083_2019-06-19_final
2019-08-31 10:10:26	ga_ls7e_ard_3-1-0_101073_2019-08-31_final
2019-09-04 11:26:24	ga_ls7e_ard_3-1-0_113078_2019-09-04_final
2019-09-08 11:02:19	ga_ls7e_ard_3-1-0_109080_2019-09-08_final
2019-09-11 09:49:49	ga_ls7e_ard_3-1-0_098069_2019-09-11_final
2019-09-15 09:29:42	ga_ls7e_ard_3-1-0_094081_2019-09-14_final
2019-09-20 09:47:13	ga_ls7e_ard_3-1-0_097079_2019-09-20_final
2019-09-27 11:31:11	ga_ls7e_ard_3-1-0_114077_2019-09-27_final
2019-09-30 10:23:28	ga_ls7e_ard_3-1-0_103078_2019-09-30_final
2019-10-05 10:43:24	ga_ls7e_ard_3-1-0_106082_2019-10-05_final
2019-10-06 09:46:33	ga_ls7e_ard_3-1-0_097079_2019-10-06_final
2019-10-06 09:47:21	ga_ls7e_ard_3-1-0_097081_2019-10-06_final
2019-10-06 11:26:37	ga_ls7e_ard_3-1-0_113082_2019-10-06_final
2019-10-12 10:46:30	ga_ls7e_ard_3-1-0_107075_2019-10-12_final
2019-10-24 11:07:55	ga_ls7e_ard_3-1-0_111068_2019-10-24_final
2019-10-26 10:57:28	ga_ls7e_ard_3-1-0_109073_2019-10-26_final
2019-11-01 10:21:43	ga_ls7e_ard_3-1-0_103077_2019-11-01_final
2019-11-03 10:09:16	ga_ls7e_ard_3-1-0_101077_2019-11-03_final
2019-11-11 09:23:03	ga_ls7e_ard_3-1-0_093086_2019-11-10_final
2019-11-18 11:06:35	ga_ls7e_ard_3-1-0_110083_2019-11-18_final
2019-11-23 11:22:30	ga_ls7e_ard_3-1-0_113077_2019-11-23_final
2019-11-24 10:24:50	ga_ls7e_ard_3-1-0_104072_2019-11-24_final
2019-12-03 10:21:25	ga_ls7e_ard_3-1-0_103080_2019-12-03_final
2019-12-10 10:25:39	ga_ls7e_ard_3-1-0_104076_2019-12-10_final
2019-12-13 09:19:31	ga_ls7e_ard_3-1-0_093081_2019-12-12_final
2019-12-16 09:50:40	ga_ls7e_ard_3-1-0_098082_2019-12-16_final
2019-12-24 09:01:13	ga_ls7e_ard_3-1-0_090083_2019-12-23_final
2019-12-24 10:37:42	ga_ls7e_ard_3-1-0_106077_2019-12-24_final
2019-12-25 11:23:42	ga_ls7e_ard_3-1-0_113084_2019-12-25_final
2019-12-26 10:22:02	ga_ls7e_ard_3-1-0_104069_2019-12-26_final
2019-12-26 10:22:26	ga_ls7e_ard_3-1-0_104070_2019-12-26_final
2019-12-29 09:20:41	ga_ls7e_ard_3-1-0_093086_2019-12-28_final
2019-12-30 10:01:06	ga_ls7e_ard_3-1-0_100079_2019-12-30_final
2019-12-31 10:45:30	ga_ls7e_ard_3-1-0_107082_2019-12-31_final
2020-01-01 09:48:38	ga_ls7e_ard_3-1-0_098079_2020-01-01_final
2020-01-05 09:24:30	ga_ls7e_ard_3-1-0_094081_2020-01-04_final
2020-01-14 09:16:17	ga_ls7e_ard_3-1-0_093077_2020-01-13_final
2020-01-14 10:55:10	ga_ls7e_ard_3-1-0_109077_2020-01-14_final
2020-01-19 11:12:39	ga_ls7e_ard_3-1-0_112075_2020-01-19_final
2020-02-18 09:41:49	ga_ls7e_ard_3-1-0_098068_2020-02-18_final
2020-03-13 08:55:05	ga_ls7e_ard_3-1-0_090078_2020-03-12_final
2020-03-28 09:51:28	ga_ls7e_ard_3-1-0_099082_2020-03-28_final
2020-03-30 11:17:05	ga_ls7e_ard_3-1-0_113080_2020-03-30_final
2020-04-15 09:36:29	ga_ls7e_ard_3-1-0_097078_2020-04-15_final
2020-04-19 10:51:12	ga_ls7e_ard_3-1-0_109080_2020-04-19_final
2020-04-29 11:27:17	ga_ls7e_ard_3-1-0_115079_2020-04-29_final
2022-03-19 09:34:59	ga_ls7e_ard_3-2-1_106074_2022-03-19_final
2022-03-27 10:25:16	ga_ls7e_ard_3-2-1_114078_2022-03-27_final
2022-04-05 08:37:44	ga_ls7e_ard_3-2-1_097074_2022-04-04_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