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
1999-10-01 09:44:13	ga_ls7e_ard_3-0-0_095084_1999-10-01_final
2000-01-17 11:44:24	ga_ls7e_ard_3-0-0_115076_2000-01-17_final
2000-02-06 09:43:33	ga_ls7e_ard_3-0-0_095083_2000-02-06_final
2001-05-27 11:40:37	ga_ls7e_ard_3-0-0_115074_2001-05-27_final
2001-08-03 09:40:42	ga_ls7e_ard_3-0-0_095085_2001-08-03_final
2001-11-03 11:39:09	ga_ls7e_ard_3-0-0_115074_2001-11-03_final
2002-01-26 09:36:51	ga_ls7e_ard_3-0-0_095076_2002-01-26_final
2002-09-07 09:37:34	ga_ls7e_ard_3-0-0_095080_2002-09-07_final
2002-09-23 09:35:22	ga_ls7e_ard_3-0-0_095075_2002-09-23_final
2003-01-13 09:32:49	ga_ls7e_ard_3-0-0_095067_2003-01-13_final
2003-10-12 09:36:05	ga_ls7e_ard_3-0-0_095076_2003-10-12_final
2003-10-12 09:38:53	ga_ls7e_ard_3-0-0_095083_2003-10-12_final
2004-03-20 09:37:16	ga_ls7e_ard_3-0-0_095076_2004-03-20_final
2005-05-10 09:41:36	ga_ls7e_ard_3-0-0_095086_2005-05-10_final
2005-07-29 09:38:12	ga_ls7e_ard_3-0-0_095078_2005-07-29_final
2005-11-18 09:38:42	ga_ls7e_ard_3-1-0_095079_2005-11-18_final
2006-01-05 09:38:59	ga_ls7e_ard_3-1-0_095079_2006-01-05_final
2007-07-19 09:37:47	ga_ls7e_ard_3-0-0_095075_2007-07-19_final
2007-08-04 09:38:06	ga_ls7e_ard_3-0-0_095076_2007-08-04_final
2008-05-02 09:40:04	ga_ls7e_ard_3-0-0_095081_2008-05-02_final
2008-11-10 09:36:17	ga_ls7e_ard_3-0-0_095074_2008-11-10_final
2009-01-13 09:38:29	ga_ls7e_ard_3-0-0_095078_2009-01-13_final
2009-01-29 09:39:45	ga_ls7e_ard_3-0-0_095081_2009-01-29_final
2009-08-09 09:40:11	ga_ls7e_ard_3-0-0_095081_2009-08-09_final
2009-09-10 09:40:10	ga_ls7e_ard_3-0-0_095081_2009-09-10_final
2009-10-12 09:38:53	ga_ls7e_ard_3-0-0_095078_2009-10-12_final
2010-02-17 09:41:31	ga_ls7e_ard_3-0-0_095080_2010-02-17_final
2010-03-05 09:41:16	ga_ls7e_ard_3-1-0_095079_2010-03-05_final
2010-06-09 09:39:20	ga_ls7e_ard_3-0-0_095074_2010-06-09_final
2010-06-25 09:40:34	ga_ls7e_ard_3-0-0_095077_2010-06-25_final
2011-03-24 09:42:45	ga_ls7e_ard_3-1-0_095079_2011-03-24_final
2011-11-03 09:41:23	ga_ls7e_ard_3-0-0_095076_2011-11-03_final
2012-06-30 09:42:33	ga_ls7e_ard_3-0-0_095076_2012-06-30_final
2012-08-01 09:42:08	ga_ls7e_ard_3-0-0_095074_2012-08-01_final
2013-04-14 09:45:36	ga_ls7e_ard_3-0-0_095080_2013-04-14_final
2013-07-19 09:46:09	ga_ls7e_ard_3-0-0_095083_2013-07-19_final
2013-12-10 09:44:45	ga_ls7e_ard_3-0-0_095077_2013-12-10_final
2014-05-19 09:46:56	ga_ls7e_ard_3-0-0_095080_2014-05-19_final
2014-07-06 09:47:07	ga_ls7e_ard_3-0-0_095080_2014-07-06_final
2014-07-11 11:44:57	ga_ls7e_ard_3-0-0_114081_2014-07-11_final
2015-01-10 11:50:34	ga_ls7e_ard_3-1-0_115077_2015-01-10_final
2016-04-22 09:49:31	ga_ls7e_ard_3-0-0_095074_2016-04-22_final
2016-04-22 09:52:19	ga_ls7e_ard_3-0-0_095081_2016-04-22_final
2016-06-25 09:51:46	ga_ls7e_ard_3-1-0_095079_2016-06-25_final
2016-08-12 09:53:25	ga_ls7e_ard_3-0-0_095083_2016-08-12_final
2016-11-16 09:51:20	ga_ls7e_ard_3-0-0_095078_2016-11-16_final
2017-02-20 09:50:00	ga_ls7e_ard_3-0-0_095076_2017-02-20_final
2017-06-01 11:49:34	ga_ls7e_ard_3-0-0_114080_2017-06-01_final
2018-01-22 09:50:39	ga_ls7e_ard_3-0-0_095078_2018-01-22_final
2018-04-12 09:49:36	ga_ls7e_ard_3-0-0_095078_2018-04-12_final
2018-05-30 09:49:59	ga_ls7e_ard_3-0-0_095081_2018-05-30_final
2018-06-15 09:51:18	ga_ls7e_ard_3-0-0_095085_2018-06-15_final
2018-07-01 09:49:24	ga_ls7e_ard_3-0-0_095081_2018-07-01_final
2018-09-19 09:45:50	ga_ls7e_ard_3-0-0_095076_2018-09-19_final
2020-07-06 09:19:38	ga_ls7e_ard_3-1-0_095079_2020-07-05_final
2020-09-24 09:13:19	ga_ls7e_ard_3-1-0_095076_2020-09-23_final
2020-10-10 09:15:54	ga_ls7e_ard_3-1-0_095085_2020-10-09_final
2021-02-22 09:08:05	ga_ls7e_ard_3-2-0_096074_2021-02-21_final
2021-03-02 09:58:30	ga_ls7e_ard_3-2-0_104078_2021-03-02_final
2021-03-07 08:37:23	ga_ls7e_ard_3-2-0_091077_2021-03-06_final
2021-03-10 09:10:26	ga_ls7e_ard_3-2-0_096083_2021-03-09_final
2021-03-26 10:46:02	ga_ls7e_ard_3-2-0_112078_2021-03-26_final
2021-04-05 09:43:25	ga_ls7e_ard_3-2-0_102078_2021-04-05_final
2021-04-09 09:19:58	ga_ls7e_ard_3-2-0_098082_2021-04-08_final
2021-04-12 09:47:25	ga_ls7e_ard_3-2-0_103074_2021-04-12_final
2021-04-25 10:55:06	ga_ls7e_ard_3-2-0_114076_2021-04-25_final
2021-05-29 08:59:24	ga_ls7e_ard_3-2-0_096072_2021-05-28_final
2021-06-05 09:08:59	ga_ls7e_ard_3-2-0_097082_2021-06-04_final
2021-06-12 09:11:24	ga_ls7e_ard_3-2-0_098074_2021-06-11_final
2021-06-14 09:00:28	ga_ls7e_ard_3-2-0_096078_2021-06-13_final
2021-06-21 09:03:17	ga_ls7e_ard_3-2-0_097071_2021-06-20_final
2021-06-21 09:04:05	ga_ls7e_ard_3-2-0_097073_2021-06-20_final
2021-06-21 09:05:41	ga_ls7e_ard_3-2-0_097077_2021-06-20_final
2021-06-25 10:19:54	ga_ls7e_ard_3-2-0_109078_2021-06-25_final
2021-06-28 09:10:53	ga_ls7e_ard_3-2-0_098076_2021-06-27_final
2021-07-01 09:41:08	ga_ls7e_ard_3-2-0_103075_2021-07-01_final
2021-07-12 09:21:15	ga_ls7e_ard_3-2-0_100074_2021-07-11_final
2021-07-23 10:41:27	ga_ls7e_ard_3-2-0_113076_2021-07-23_final
2021-09-13 08:33:18	ga_ls7e_ard_3-2-0_093076_2021-09-12_final
2021-09-17 09:47:54	ga_ls7e_ard_3-2-0_105078_2021-09-17_final
2021-09-22 10:03:36	ga_ls7e_ard_3-2-0_108072_2021-09-22_final
2021-09-25 10:35:49	ga_ls7e_ard_3-2-0_113076_2021-09-25_final
2021-10-13 10:22:40	ga_ls7e_ard_3-2-0_111078_2021-10-13_final
2021-10-22 10:16:05	ga_ls7e_ard_3-2-0_110079_2021-10-22_final
2021-11-05 10:25:56	ga_ls7e_ard_3-2-0_112076_2021-11-05_final
2021-11-14 10:21:41	ga_ls7e_ard_3-2-1_111083_2021-11-14_final
2021-12-02 08:29:07	ga_ls7e_ard_3-2-1_093084_2021-12-01_final
2021-12-05 08:56:09	ga_ls7e_ard_3-2-1_098075_2021-12-04_final
2021-12-06 09:38:31	ga_ls7e_ard_3-2-1_105073_2021-12-06_final
2021-12-10 09:14:37	ga_ls7e_ard_3-2-1_101076_2021-12-09_final
2021-12-29 09:44:03	ga_ls7e_ard_3-2-1_106077_2021-12-29_final
2022-01-17 10:13:55	ga_ls7e_ard_3-2-1_111079_2022-01-17_final
2022-01-28 09:53:55	ga_ls7e_ard_3-2-1_108078_2022-01-28_final
2022-03-06 10:09:11	ga_ls7e_ard_3-2-1_111079_2022-03-06_final
2022-03-07 09:10:40	ga_ls7e_ard_3-2-1_102072_2022-03-06_final
2022-03-08 08:17:45	ga_ls7e_ard_3-2-1_093079_2022-03-07_final
2022-03-13 08:32:59	ga_ls7e_ard_3-2-1_096072_2022-03-12_final
2022-03-20 10:19:44	ga_ls7e_ard_3-2-1_113078_2022-03-20_final
2022-03-24 08:16:10	ga_ls7e_ard_3-2-1_093079_2022-03-23_final
2022-04-03 08:50:18	ga_ls7e_ard_3-2-1_099074_2022-04-02_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