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
2000-04-05 11:00:46	ga_ls7e_ard_3-0-0_108076_2000-04-05_final
2000-04-26 11:18:24	ga_ls7e_ard_3-0-0_111074_2000-04-26_final
2000-06-13 11:17:33	ga_ls7e_ard_3-0-0_111073_2000-06-13_final
2000-07-01 11:08:34	ga_ls7e_ard_3-0-0_109082_2000-07-01_final
2000-08-09 11:14:09	ga_ls7e_ard_3-0-0_110082_2000-08-09_final
2001-04-29 11:16:10	ga_ls7e_ard_3-0-0_111074_2001-04-29_final
2002-09-05 11:23:38	ga_ls7e_ard_3-0-0_113067_2002-09-05_final
2003-08-25 11:14:04	ga_ls7e_ard_3-0-0_111073_2003-08-25_final
2004-01-20 10:48:46	ga_ls7e_ard_3-0-0_107070_2004-01-20_final
2004-09-26 11:30:14	ga_ls7e_ard_3-0-0_113082_2004-09-26_final
2004-10-18 10:50:49	ga_ls7e_ard_3-0-0_107076_2004-10-18_final
2004-11-26 10:56:13	ga_ls7e_ard_3-0-0_108073_2004-11-26_final
2005-01-27 11:08:55	ga_ls7e_ard_3-0-0_110073_2005-01-27_final
2005-07-06 11:12:31	ga_ls7e_ard_3-0-0_110082_2005-07-06_final
2005-12-20 11:15:42	ga_ls7e_ard_3-0-0_111074_2005-12-20_final
2006-01-23 11:02:52	ga_ls7e_ard_3-0-0_109072_2006-01-23_final
2006-02-06 11:17:18	ga_ls7e_ard_3-0-0_111077_2006-02-06_final
2006-02-06 11:18:54	ga_ls7e_ard_3-0-0_111081_2006-02-06_final
2006-05-13 11:15:21	ga_ls7e_ard_3-0-0_111072_2006-05-13_final
2006-05-17 10:53:26	ga_ls7e_ard_3-0-0_107079_2006-05-17_final
2006-08-26 11:08:45	ga_ls7e_ard_3-1-0_110072_2006-08-26_final
2007-01-13 11:37:14	ga_ls7e_ard_3-0-0_114080_2007-01-13_final
2007-01-26 11:03:37	ga_ls7e_ard_3-0-0_109073_2007-01-26_final
2007-03-04 11:22:46	ga_ls7e_ard_3-0-0_112074_2007-03-04_final
2007-03-29 11:14:14	ga_ls7e_ard_3-0-0_111068_2007-03-29_final
2007-12-30 10:50:31	ga_ls7e_ard_3-0-0_107071_2007-12-30_final
2008-07-12 11:21:42	ga_ls7e_ard_3-0-0_112074_2008-07-12_final
2008-09-11 10:53:06	ga_ls7e_ard_3-0-0_107081_2008-09-11_final
2009-01-06 11:08:45	ga_ls7e_ard_3-1-0_110072_2009-01-06_final
2009-01-25 11:42:09	ga_ls7e_ard_3-0-0_115078_2009-01-25_final
2009-04-10 11:22:35	ga_ls7e_ard_3-0-0_112074_2009-04-10_final
2009-08-23 11:31:01	ga_ls7e_ard_3-0-0_113080_2009-08-23_final
2010-12-13 10:58:57	ga_ls7e_ard_3-0-0_108070_2010-12-13_final
2011-03-08 11:20:26	ga_ls7e_ard_3-0-0_111076_2011-03-08_final
2011-03-24 11:19:15	ga_ls7e_ard_3-0-0_111073_2011-03-24_final
2011-07-02 10:55:17	ga_ls7e_ard_3-0-0_107075_2011-07-02_final
2011-12-05 11:17:03	ga_ls7e_ard_3-0-0_111067_2011-12-05_final
2012-04-29 11:08:08	ga_ls7e_ard_3-0-0_109074_2012-04-29_final
2012-10-06 11:09:21	ga_ls7e_ard_3-0-0_109074_2012-10-06_final
2012-11-17 11:46:46	ga_ls7e_ard_3-0-0_115074_2012-11-17_final
2013-04-14 11:25:41	ga_ls7e_ard_3-0-0_111083_2013-04-14_final
2013-10-23 11:22:09	ga_ls7e_ard_3-0-0_111074_2013-10-23_final
2013-11-20 11:47:47	ga_ls7e_ard_3-0-0_115076_2013-11-20_final
2014-02-21 11:19:00	ga_ls7e_ard_3-0-0_110080_2014-02-21_final
2014-04-10 11:14:07	ga_ls7e_ard_3-0-0_110067_2014-04-10_final
2014-07-08 11:15:14	ga_ls7e_ard_3-0-0_109084_2014-07-08_final
2014-07-18 11:48:20	ga_ls7e_ard_3-0-0_115074_2014-07-18_final
2014-07-18 11:50:20	ga_ls7e_ard_3-0-0_115079_2014-07-18_final
2014-10-03 11:16:12	ga_ls7e_ard_3-0-0_110070_2014-10-03_final
2014-12-27 11:36:58	ga_ls7e_ard_3-0-0_113074_2014-12-27_final
2015-05-31 11:19:25	ga_ls7e_ard_3-0-0_110074_2015-05-31_final
2015-07-23 11:38:12	ga_ls7e_ard_3-0-0_113074_2015-07-23_final
2016-01-17 11:31:44	ga_ls7e_ard_3-0-0_111084_2016-01-17_final
2016-02-20 11:16:00	ga_ls7e_ard_3-0-0_109075_2016-02-20_final
2016-03-17 11:54:30	ga_ls7e_ard_3-0-0_115078_2016-03-17_final
2016-05-10 11:16:31	ga_ls7e_ard_3-0-0_109075_2016-05-10_final
2016-05-24 11:27:44	ga_ls7e_ard_3-0-0_111072_2016-05-24_final
2016-07-07 11:54:34	ga_ls7e_ard_3-1-0_115077_2016-07-07_final
2016-09-15 11:18:50	ga_ls7e_ard_3-0-0_109080_2016-09-15_final
2017-02-15 11:07:54	ga_ls7e_ard_3-0-0_108070_2017-02-15_final
2017-07-14 11:28:21	ga_ls7e_ard_3-0-0_111073_2017-07-14_final
2018-01-01 11:13:18	ga_ls7e_ard_3-0-0_108083_2018-01-01_final
2018-04-30 11:13:24	ga_ls7e_ard_3-0-0_109072_2018-04-30_final
2018-05-02 11:05:48	ga_ls7e_ard_3-0-0_107084_2018-05-02_final
2018-06-10 11:07:21	ga_ls7e_ard_3-0-0_108074_2018-06-10_final
2018-11-15 11:19:36	ga_ls7e_ard_3-0-0_110082_2018-11-15_final
2019-03-23 11:11:00	ga_ls7e_ard_3-1-0_110070_2019-03-23_final
2019-04-03 10:54:04	ga_ls7e_ard_3-0-0_107075_2019-04-03_final
2019-10-15 11:20:52	ga_ls7e_ard_3-1-0_112084_2019-10-15_final
2020-01-14 10:53:58	ga_ls7e_ard_3-1-0_109074_2020-01-14_final
2020-01-26 11:18:05	ga_ls7e_ard_3-1-0_113074_2020-01-26_final
2020-02-15 10:54:21	ga_ls7e_ard_3-1-0_109079_2020-02-15_final
2020-03-05 11:25:02	ga_ls7e_ard_3-1-0_114081_2020-03-05_final
2020-03-09 10:57:42	ga_ls7e_ard_3-1-0_110075_2020-03-09_final
2020-11-15 10:27:15	ga_ls7e_ard_3-1-0_107084_2020-11-15_final
2020-11-25 10:56:51	ga_ls7e_ard_3-1-0_113067_2020-11-25_final
2020-11-27 10:47:08	ga_ls7e_ard_3-1-0_111074_2020-11-27_final
2020-12-11 09:21:11	ga_ls7e_ard_3-1-0_097078_2020-12-10_final
2020-12-16 09:39:20	ga_ls7e_ard_3-1-0_100078_2020-12-16_final
2020-12-18 09:25:14	ga_ls7e_ard_3-1-0_098074_2020-12-17_final
2021-03-19 10:42:49	ga_ls7e_ard_3-2-0_111084_2021-03-19_final
2021-03-24 10:56:58	ga_ls7e_ard_3-2-0_114074_2021-03-24_final
2021-03-25 10:00:04	ga_ls7e_ard_3-2-0_105071_2021-03-25_final
2021-04-02 09:12:46	ga_ls7e_ard_3-2-0_097078_2021-04-01_final
2021-04-11 10:43:08	ga_ls7e_ard_3-2-0_112074_2021-04-11_final
2021-05-06 08:55:58	ga_ls7e_ard_3-2-0_095074_2021-05-05_final
2021-05-15 10:27:55	ga_ls7e_ard_3-2-0_110074_2021-05-15_final
2021-05-22 10:32:42	ga_ls7e_ard_3-2-0_111072_2021-05-22_final
2021-07-11 08:42:52	ga_ls7e_ard_3-2-0_093086_2021-07-10_final
2021-08-15 09:03:08	ga_ls7e_ard_3-2-0_098067_2021-08-14_final
2021-08-28 10:12:46	ga_ls7e_ard_3-2-0_109074_2021-08-28_final
2021-10-02 09:05:17	ga_ls7e_ard_3-2-0_098083_2021-10-01_final
2021-10-20 10:29:25	ga_ls7e_ard_3-2-0_112081_2021-10-20_final
2021-12-20 08:11:51	ga_ls7e_ard_3-2-1_091076_2021-12-19_final
2021-12-20 09:53:55	ga_ls7e_ard_3-2-1_107084_2021-12-20_final
2021-12-27 09:59:01	ga_ls7e_ard_3-2-1_108083_2021-12-27_final
2022-01-02 09:17:20	ga_ls7e_ard_3-2-1_102073_2022-01-01_final
2022-01-06 08:51:25	ga_ls7e_ard_3-2-1_098071_2022-01-05_final
2022-01-18 09:17:24	ga_ls7e_ard_3-2-1_102077_2022-01-17_final
2022-01-19 10:00:10	ga_ls7e_ard_3-2-1_109076_2022-01-19_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years