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
2001-01-23 11:16:37	ga_ls7e_ard_3-0-0_111074_2001-01-23_final
2002-06-19 11:14:11	ga_ls7e_ard_3-0-0_111073_2002-06-19_final
2002-07-05 11:14:31	ga_ls7e_ard_3-0-0_111074_2002-07-05_final
2002-08-29 11:20:14	ga_ls7e_ard_3-0-0_112074_2002-08-29_final
2002-12-28 11:13:38	ga_ls7e_ard_3-0-0_111072_2002-12-28_final
2003-03-18 11:14:48	ga_ls7e_ard_3-0-0_111074_2003-03-18_final
2003-11-20 11:24:30	ga_ls7e_ard_3-0-0_112083_2003-11-20_final
2004-02-22 11:33:43	ga_ls7e_ard_3-0-0_114074_2004-02-22_final
2004-07-10 11:15:52	ga_ls7e_ard_3-0-0_111076_2004-07-10_final
2004-07-24 11:27:22	ga_ls7e_ard_3-0-0_113074_2004-07-24_final
2004-08-09 11:27:15	ga_ls7e_ard_3-0-0_113074_2004-08-09_final
2004-09-12 11:14:20	ga_ls7e_ard_3-0-0_111073_2004-09-12_final
2004-10-28 11:30:51	ga_ls7e_ard_3-0-0_113083_2004-10-28_final
2004-11-29 11:27:32	ga_ls7e_ard_3-0-0_113074_2004-11-29_final
2004-12-01 11:14:24	ga_ls7e_ard_3-0-0_111072_2004-12-01_final
2004-12-15 11:30:02	ga_ls7e_ard_3-0-0_113080_2004-12-15_final
2004-12-26 11:12:00	ga_ls7e_ard_3-0-0_110081_2004-12-26_final
2005-02-17 11:32:03	ga_ls7e_ard_3-0-0_113084_2005-02-17_final
2005-07-04 11:21:41	ga_ls7e_ard_3-0-0_112074_2005-07-04_final
2005-10-17 11:15:14	ga_ls7e_ard_3-0-0_111074_2005-10-17_final
2005-11-07 11:31:15	ga_ls7e_ard_3-0-0_114067_2005-11-07_final
2005-12-04 11:15:41	ga_ls7e_ard_3-0-0_111074_2005-12-04_final
2006-01-12 11:24:31	ga_ls7e_ard_3-0-0_112080_2006-01-12_final
2007-04-07 11:14:01	ga_ls7e_ard_3-0-0_110083_2007-04-07_final
2007-06-15 11:32:42	ga_ls7e_ard_3-0-0_113084_2007-06-15_final
2007-08-27 11:22:13	ga_ls7e_ard_3-0-0_112074_2007-08-27_final
2007-09-21 11:15:52	ga_ls7e_ard_3-0-0_111074_2007-09-21_final
2007-10-05 11:28:05	ga_ls7e_ard_3-0-0_113074_2007-10-05_final
2007-10-07 11:14:34	ga_ls7e_ard_3-0-0_111071_2007-10-07_final
2008-01-18 11:22:37	ga_ls7e_ard_3-0-0_112074_2008-01-18_final
2008-04-23 11:25:58	ga_ls7e_ard_3-0-0_112083_2008-04-23_final
2008-08-29 11:24:07	ga_ls7e_ard_3-0-0_112081_2008-08-29_final
2008-12-10 11:27:53	ga_ls7e_ard_3-0-0_113074_2008-12-10_final
2009-04-19 11:15:39	ga_ls7e_ard_3-0-0_111072_2009-04-19_final
2009-07-22 11:28:44	ga_ls7e_ard_3-0-0_113074_2009-07-22_final
2009-08-25 11:15:28	ga_ls7e_ard_3-0-0_111072_2009-08-25_final
2010-01-21 11:36:14	ga_ls7e_ard_3-0-0_114074_2010-01-21_final
2010-05-17 11:16:00	ga_ls7e_ard_3-0-0_110084_2010-05-17_final
2010-10-29 11:30:57	ga_ls7e_ard_3-0-0_113074_2010-10-29_final
2011-01-03 11:21:16	ga_ls7e_ard_3-0-0_111079_2011-01-03_final
2011-07-12 11:31:58	ga_ls7e_ard_3-0-0_113074_2011-07-12_final
2012-03-19 11:17:37	ga_ls7e_ard_3-0-0_110083_2012-03-19_final
2012-06-05 11:30:35	ga_ls7e_ard_3-0-0_112084_2012-06-05_final
2012-10-02 11:37:15	ga_ls7e_ard_3-0-0_113082_2012-10-02_final
2012-10-04 11:21:18	ga_ls7e_ard_3-0-0_111073_2012-10-04_final
2013-09-26 11:37:34	ga_ls7e_ard_3-0-0_114067_2013-09-26_final
2014-04-01 11:22:40	ga_ls7e_ard_3-0-0_111073_2014-04-01_final
2014-05-01 11:39:15	ga_ls7e_ard_3-0-0_113083_2014-05-01_final
2014-10-26 11:23:47	ga_ls7e_ard_3-0-0_111073_2014-10-26_final
2014-12-29 11:21:48	ga_ls7e_ard_3-0-0_111067_2014-12-29_final
2015-01-30 11:24:45	ga_ls7e_ard_3-0-0_111074_2015-01-30_final
2015-01-30 11:25:33	ga_ls7e_ard_3-0-0_111076_2015-01-30_final
2015-03-17 11:40:13	ga_ls7e_ard_3-0-0_113081_2015-03-17_final
2015-11-14 11:25:59	ga_ls7e_ard_3-0-0_111072_2015-11-14_final
2016-05-08 11:26:05	ga_ls7e_ard_3-0-0_111068_2016-05-08_final
2016-08-12 11:28:42	ga_ls7e_ard_3-0-0_111074_2016-08-12_final
2016-09-20 11:35:00	ga_ls7e_ard_3-0-0_112074_2016-09-20_final
2016-12-16 11:40:53	ga_ls7e_ard_3-0-0_113074_2016-12-16_final
2017-02-20 11:25:18	ga_ls7e_ard_3-0-0_111067_2017-02-20_final
2017-05-25 11:44:57	ga_ls7e_ard_3-0-0_113084_2017-05-25_final
2017-09-07 11:38:04	ga_ls7e_ard_3-0-0_112082_2017-09-07_final
2017-10-02 11:28:17	ga_ls7e_ard_3-0-0_111073_2017-10-02_final
2017-11-08 11:44:27	ga_ls7e_ard_3-0-0_114067_2017-11-08_final
2018-02-28 11:43:13	ga_ls7e_ard_3-0-0_114067_2018-02-28_final
2018-05-14 11:25:31	ga_ls7e_ard_3-0-0_111072_2018-05-14_final
2018-06-15 11:24:36	ga_ls7e_ard_3-0-0_111071_2018-06-15_final
2019-01-07 11:30:42	ga_ls7e_ard_3-0-0_113067_2019-01-07_final
2019-05-08 11:26:53	ga_ls7e_ard_3-0-0_112083_2019-05-08_final
2019-05-17 11:15:57	ga_ls7e_ard_3-0-0_111072_2019-05-17_final
2019-05-26 11:14:13	ga_ls7e_ard_3-0-0_110084_2019-05-26_final
2019-08-03 11:26:10	ga_ls7e_ard_3-0-0_113074_2019-08-03_final
2019-08-03 11:28:57	ga_ls7e_ard_3-0-0_113081_2019-08-03_final
2019-11-14 11:25:07	ga_ls7e_ard_3-1-0_114067_2019-11-14_final
2020-02-04 11:15:03	ga_ls7e_ard_3-1-0_112083_2020-02-04_final
2020-04-01 11:02:12	ga_ls7e_ard_3-1-0_111074_2020-04-01_final
2020-04-17 11:00:53	ga_ls7e_ard_3-1-0_111073_2020-04-17_final
2020-08-23 10:57:06	ga_ls7e_ard_3-1-0_111083_2020-08-23_final
2020-09-22 11:07:29	ga_ls7e_ard_3-1-0_113083_2020-09-22_final
2020-10-10 10:48:00	ga_ls7e_ard_3-1-0_111068_2020-10-10_final
2020-12-04 10:56:00	ga_ls7e_ard_3-1-0_112082_2020-12-04_final
2021-10-23 09:17:10	ga_ls7e_ard_3-2-0_101071_2021-10-22_final
2021-10-23 09:21:58	ga_ls7e_ard_3-2-0_101083_2021-10-22_final
2021-10-30 09:21:31	ga_ls7e_ard_3-2-0_102068_2021-10-29_final
2021-11-06 09:27:26	ga_ls7e_ard_3-2-0_103069_2021-11-05_final
2021-11-25 09:57:17	ga_ls7e_ard_3-2-1_108071_2021-11-25_final
2021-11-26 08:59:58	ga_ls7e_ard_3-2-1_099067_2021-11-25_final
2021-11-26 10:41:39	ga_ls7e_ard_3-2-1_115074_2021-11-26_final
2021-11-26 10:43:14	ga_ls7e_ard_3-2-1_115078_2021-11-26_final
2021-12-25 10:09:11	ga_ls7e_ard_3-2-1_110077_2021-12-25_final
2022-02-07 08:46:43	ga_ls7e_ard_3-2-1_098067_2022-02-06_final
2022-02-11 10:02:27	ga_ls7e_ard_3-2-1_110072_2022-02-11_final
2022-02-14 10:36:14	ga_ls7e_ard_3-2-1_115080_2022-02-14_final
2022-02-15 08:05:37	ga_ls7e_ard_3-2-1_090090_2022-02-14_final
2022-02-23 10:29:35	ga_ls7e_ard_3-2-1_114081_2022-02-23_final
2022-02-28 09:09:34	ga_ls7e_ard_3-2-1_101083_2022-02-27_final
2022-03-02 08:55:49	ga_ls7e_ard_3-2-1_099080_2022-03-01_final
2022-03-03 09:34:35	ga_ls7e_ard_3-2-1_106069_2022-03-03_final
2022-03-04 10:19:44	ga_ls7e_ard_3-2-1_113074_2022-03-04_final
2022-03-10 08:06:47	ga_ls7e_ard_3-2-1_091083_2022-03-09_final
2022-03-25 08:57:20	ga_ls7e_ard_3-2-1_100074_2022-03-24_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