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
1999-08-14 11:16:10	ga_ls7e_ard_3-0-0_111067_1999-08-14_final
2001-02-01 11:13:11	ga_ls7e_ard_3-0-0_110081_2001-02-01_final
2001-12-09 11:14:17	ga_ls7e_ard_3-0-0_111073_2001-12-09_final
2002-06-19 11:13:47	ga_ls7e_ard_3-0-0_111072_2002-06-19_final
2002-07-01 11:40:50	ga_ls7e_ard_3-0-0_115078_2002-07-01_final
2002-09-05 11:23:38	ga_ls7e_ard_3-0-0_113067_2002-09-05_final
2003-10-26 11:30:25	ga_ls7e_ard_3-0-0_113083_2003-10-26_final
2004-04-21 09:41:06	ga_ls7e_ard_3-0-0_095086_2004-04-21_final
2004-07-24 11:30:57	ga_ls7e_ard_3-0-0_113083_2004-07-24_final
2004-08-25 11:29:13	ga_ls7e_ard_3-0-0_113079_2004-08-25_final
2004-10-12 11:26:59	ga_ls7e_ard_3-0-0_113074_2004-10-12_final
2004-10-26 11:41:11	ga_ls7e_ard_3-0-0_115078_2004-10-26_final
2004-10-28 11:30:27	ga_ls7e_ard_3-0-0_113082_2004-10-28_final
2005-05-10 09:38:01	ga_ls7e_ard_3-0-0_095077_2005-05-10_final
2005-11-11 11:07:46	ga_ls7e_ard_3-0-0_110070_2005-11-11_final
2006-03-03 11:13:36	ga_ls7e_ard_3-0-0_110083_2006-03-03_final
2006-03-06 11:42:54	ga_ls7e_ard_3-0-0_115079_2006-03-06_final
2006-03-08 11:32:08	ga_ls7e_ard_3-0-0_113083_2006-03-08_final
2007-01-17 11:09:19	ga_ls7e_ard_3-1-0_110072_2007-01-17_final
2007-06-15 11:32:42	ga_ls7e_ard_3-0-0_113084_2007-06-15_final
2007-08-04 09:37:42	ga_ls7e_ard_3-0-0_095075_2007-08-04_final
2008-01-16 11:32:11	ga_ls7e_ard_3-0-0_114067_2008-01-16_final
2008-04-14 11:30:34	ga_ls7e_ard_3-0-0_113079_2008-04-14_final
2008-06-28 11:11:30	ga_ls7e_ard_3-0-0_110079_2008-06-28_final
2008-06-28 11:12:18	ga_ls7e_ard_3-0-0_110081_2008-06-28_final
2008-08-06 09:35:37	ga_ls7e_ard_3-0-0_095072_2008-08-06_final
2008-09-21 11:27:18	ga_ls7e_ard_3-0-0_113074_2008-09-21_final
2009-01-25 11:42:33	ga_ls7e_ard_3-0-0_115079_2009-01-25_final
2009-09-10 11:15:03	ga_ls7e_ard_3-0-0_111071_2009-09-10_final
2009-10-12 11:15:22	ga_ls7e_ard_3-0-0_111072_2009-10-12_final
2010-07-20 11:10:32	ga_ls7e_ard_3-0-0_110070_2010-07-20_final
2010-09-09 11:44:41	ga_ls7e_ard_3-0-0_115078_2010-09-09_final
2010-11-16 11:17:37	ga_ls7e_ard_3-0-0_111071_2010-11-16_final
2011-06-12 09:44:23	ga_ls7e_ard_3-0-0_095083_2011-06-12_final
2011-08-15 09:40:12	ga_ls7e_ard_3-1-0_095073_2011-08-15_final
2011-10-02 09:37:40	ga_ls7e_ard_3-0-0_095067_2011-10-02_final
2011-11-17 11:35:14	ga_ls7e_ard_3-0-0_113082_2011-11-17_final
2012-01-27 11:39:02	ga_ls7e_ard_3-0-0_114075_2012-01-27_final
2012-04-07 11:46:04	ga_ls7e_ard_3-1-0_115077_2012-04-07_final
2012-10-04 09:42:01	ga_ls7e_ard_3-0-0_095072_2012-10-04_final
2012-12-05 11:34:49	ga_ls7e_ard_3-0-0_113075_2012-12-05_final
2013-01-26 11:08:43	ga_ls7e_ard_3-0-0_109071_2013-01-26_final
2013-04-23 11:19:24	ga_ls7e_ard_3-0-0_110083_2013-04-23_final
2013-10-28 11:41:06	ga_ls7e_ard_3-0-0_114075_2013-10-28_final
2013-11-24 09:43:02	ga_ls7e_ard_3-1-0_095073_2013-11-24_final
2014-03-15 09:03:59	ga_ls7e_ard_3-0-0_088082_2014-03-14_final
2014-04-06 11:42:00	ga_ls7e_ard_3-0-0_114075_2014-04-06_final
2015-03-26 11:32:31	ga_ls7e_ard_3-0-0_112077_2015-03-26_final
2015-06-09 11:13:43	ga_ls7e_ard_3-0-0_109075_2015-06-09_final
2015-08-26 11:23:32	ga_ls7e_ard_3-0-0_111068_2015-08-26_final
2016-01-19 11:17:24	ga_ls7e_ard_3-0-0_109079_2016-01-19_final
2016-02-18 11:30:45	ga_ls7e_ard_3-0-0_111081_2016-02-18_final
2016-03-14 11:21:11	ga_ls7e_ard_3-1-0_110072_2016-03-14_final
2016-04-08 11:15:55	ga_ls7e_ard_3-0-0_109074_2016-04-08_final
2016-05-01 11:25:52	ga_ls7e_ard_3-0-0_110083_2016-05-01_final
2016-10-17 11:17:16	ga_ls7e_ard_3-0-0_109076_2016-10-17_final
2017-05-23 11:54:06	ga_ls7e_ard_3-0-0_115076_2017-05-23_final
2017-08-01 11:20:21	ga_ls7e_ard_3-0-0_109084_2017-08-01_final
2017-12-07 11:14:58	ga_ls7e_ard_3-0-0_109071_2017-12-07_final
2018-02-21 11:39:54	ga_ls7e_ard_3-0-0_113074_2018-02-21_final
2018-08-16 11:40:35	ga_ls7e_ard_3-0-0_113083_2018-08-16_final
2018-09-15 11:48:44	ga_ls7e_ard_3-0-0_115074_2018-09-15_final
2018-10-23 11:10:21	ga_ls7e_ard_3-0-0_109073_2018-10-23_final
2019-01-16 11:27:01	ga_ls7e_ard_3-0-0_112074_2019-01-16_final
2019-02-08 11:32:29	ga_ls7e_ard_3-0-0_113074_2019-02-08_final
2019-05-01 09:43:17	ga_ls7e_ard_3-0-0_095086_2019-05-01_final
2019-05-03 11:04:08	ga_ls7e_ard_3-0-0_109072_2019-05-03_final
2019-06-02 09:37:41	ga_ls7e_ard_3-0-0_095075_2019-06-02_final
2019-06-11 11:08:04	ga_ls7e_ard_3-0-0_110070_2019-06-11_final
2019-09-13 11:18:14	ga_ls7e_ard_3-1-0_112074_2019-09-13_final
2019-11-05 11:36:30	ga_ls7e_ard_3-1-0_115079_2019-11-05_final
2019-11-09 11:06:48	ga_ls7e_ard_3-1-0_111067_2019-11-09_final
2019-12-02 11:14:41	ga_ls7e_ard_3-1-0_112074_2019-12-02_final
2020-01-26 11:21:17	ga_ls7e_ard_3-1-0_113082_2020-01-26_final
2020-02-29 09:24:41	ga_ls7e_ard_3-1-0_095073_2020-02-28_final
2020-05-08 11:21:22	ga_ls7e_ard_3-1-0_114081_2020-05-08_final
2020-06-25 11:18:06	ga_ls7e_ard_3-1-0_114080_2020-06-25_final
2020-09-24 10:50:36	ga_ls7e_ard_3-1-0_111072_2020-09-24_final
2020-10-06 11:15:46	ga_ls7e_ard_3-1-0_115075_2020-10-06_final
2021-02-10 08:49:52	ga_ls7e_ard_3-2-0_092088_2021-02-09_final
2021-03-16 10:07:46	ga_ls7e_ard_3-2-0_106073_2021-03-16_final
2021-04-18 09:13:50	ga_ls7e_ard_3-2-0_097084_2021-04-17_final
2021-05-03 10:03:48	ga_ls7e_ard_3-2-0_106073_2021-05-03_final
2021-05-14 09:43:56	ga_ls7e_ard_3-2-0_103072_2021-05-14_final
2021-06-02 08:37:31	ga_ls7e_ard_3-2-0_092080_2021-06-01_final
2021-07-06 08:23:58	ga_ls7e_ard_3-2-0_090084_2021-07-05_final
2021-09-12 09:27:48	ga_ls7e_ard_3-2-0_102073_2021-09-11_final
2021-10-16 09:16:25	ga_ls7e_ard_3-2-0_100083_2021-10-15_final
2021-10-18 08:57:54	ga_ls7e_ard_3-2-0_098068_2021-10-17_final
2021-10-22 10:17:40	ga_ls7e_ard_3-2-0_110083_2021-10-22_final
2021-10-23 09:21:58	ga_ls7e_ard_3-2-0_101083_2021-10-22_final
2021-10-28 09:34:04	ga_ls7e_ard_3-2-0_104068_2021-10-28_final
2021-11-29 09:31:00	ga_ls7e_ard_3-2-1_104068_2021-11-29_final
2021-12-11 08:18:54	ga_ls7e_ard_3-2-1_092076_2021-12-10_final
2022-01-18 09:13:49	ga_ls7e_ard_3-2-1_102068_2022-01-17_final
2022-01-24 10:21:01	ga_ls7e_ard_3-2-1_112083_2022-01-24_final
2022-02-04 09:58:35	ga_ls7e_ard_3-2-1_109076_2022-02-04_final
2022-02-06 09:43:38	ga_ls7e_ard_3-2-1_107070_2022-02-06_final
2022-02-18 10:08:19	ga_ls7e_ard_3-2-1_111073_2022-02-18_final
2022-02-27 08:27:12	ga_ls7e_ard_3-2-1_094085_2022-02-26_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