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
1999-09-17 11:06:33	ga_ls7e_ard_3-0-0_109074_1999-09-17_final
1999-10-19 11:06:38	ga_ls7e_ard_3-0-0_109074_1999-10-19_final
2000-09-19 11:04:13	ga_ls7e_ard_3-1-0_109074_2000-09-19_final
2001-02-10 11:04:08	ga_ls7e_ard_3-0-0_109074_2001-02-10_final
2001-02-20 11:42:48	ga_ls7e_ard_3-0-0_115078_2001-02-20_final
2001-12-05 11:39:40	ga_ls7e_ard_3-0-0_115075_2001-12-05_final
2002-03-27 11:41:13	ga_ls7e_ard_3-0-0_115078_2002-03-27_final
2002-09-25 11:01:29	ga_ls7e_ard_3-0-0_109074_2002-09-25_final
2002-11-01 11:20:05	ga_ls7e_ard_3-0-0_112074_2002-11-01_final
2003-02-14 11:14:46	ga_ls7e_ard_3-0-0_111074_2003-02-14_final
2003-03-04 11:06:02	ga_ls7e_ard_3-0-0_109083_2003-03-04_final
2003-05-12 11:21:00	ga_ls7e_ard_3-0-0_112074_2003-05-12_final
2003-07-26 11:03:01	ga_ls7e_ard_3-0-0_109076_2003-07-26_final
2003-08-21 11:39:12	ga_ls7e_ard_3-0-0_115074_2003-08-21_final
2003-10-12 11:13:47	ga_ls7e_ard_3-0-0_111073_2003-10-12_final
2003-10-14 11:01:52	ga_ls7e_ard_3-0-0_109074_2003-10-14_final
2003-11-29 11:14:45	ga_ls7e_ard_3-0-0_111074_2003-11-29_final
2003-12-11 11:39:57	ga_ls7e_ard_3-0-0_115075_2003-12-11_final
2003-12-29 11:30:56	ga_ls7e_ard_3-0-0_113083_2003-12-29_final
2004-02-10 11:09:49	ga_ls7e_ard_3-0-0_110076_2004-02-10_final
2004-04-03 11:27:42	ga_ls7e_ard_3-0-0_113074_2004-04-03_final
2004-05-23 11:15:16	ga_ls7e_ard_3-0-0_111074_2004-05-23_final
2004-10-30 11:14:55	ga_ls7e_ard_3-0-0_111074_2004-10-30_final
2004-11-11 11:41:20	ga_ls7e_ard_3-0-0_115078_2004-11-11_final
2005-01-14 11:40:12	ga_ls7e_ard_3-0-0_115074_2005-01-14_final
2005-01-27 11:10:06	ga_ls7e_ard_3-0-0_110076_2005-01-27_final
2005-06-11 11:15:34	ga_ls7e_ard_3-0-0_111074_2005-06-11_final
2005-06-27 11:15:05	ga_ls7e_ard_3-0-0_111073_2005-06-27_final
2005-08-10 11:41:22	ga_ls7e_ard_3-1-0_115077_2005-08-10_final
2005-09-29 11:30:42	ga_ls7e_ard_3-0-0_113082_2005-09-29_final
2006-01-28 11:22:14	ga_ls7e_ard_3-0-0_112074_2006-01-28_final
2006-02-06 11:13:43	ga_ls7e_ard_3-0-0_111068_2006-02-06_final
2006-02-18 11:42:04	ga_ls7e_ard_3-1-0_115077_2006-02-18_final
2006-03-26 11:17:22	ga_ls7e_ard_3-0-0_111077_2006-03-26_final
2006-06-12 11:25:40	ga_ls7e_ard_3-0-0_113067_2006-06-12_final
2006-11-14 11:08:14	ga_ls7e_ard_3-0-0_110070_2006-11-14_final
2006-11-28 11:22:19	ga_ls7e_ard_3-0-0_112074_2006-11-28_final
2006-12-16 11:09:17	ga_ls7e_ard_3-1-0_110072_2006-12-16_final
2007-02-05 11:41:34	ga_ls7e_ard_3-0-0_115075_2007-02-05_final
2007-05-25 11:08:36	ga_ls7e_ard_3-0-0_110070_2007-05-25_final
2008-12-03 11:25:14	ga_ls7e_ard_3-0-0_112083_2008-12-03_final
2009-05-26 11:37:28	ga_ls7e_ard_3-0-0_114080_2009-05-26_final
2009-06-27 11:36:37	ga_ls7e_ard_3-0-0_114078_2009-06-27_final
2009-07-01 11:09:29	ga_ls7e_ard_3-1-0_110072_2009-07-01_final
2010-10-15 11:17:40	ga_ls7e_ard_3-0-0_111072_2010-10-15_final
2011-08-08 11:11:44	ga_ls7e_ard_3-0-0_110070_2011-08-08_final
2011-09-05 11:35:10	ga_ls7e_ard_3-0-0_114067_2011-09-05_final
2011-11-08 11:40:30	ga_ls7e_ard_3-0-0_114080_2011-11-08_final
2012-03-22 11:46:56	ga_ls7e_ard_3-0-0_115079_2012-03-22_final
2012-11-14 11:14:15	ga_ls7e_ard_3-0-0_110070_2012-11-14_final
2013-03-22 11:14:23	ga_ls7e_ard_3-0-0_110070_2013-03-22_final
2013-06-15 11:31:19	ga_ls7e_ard_3-0-0_113067_2013-06-15_final
2014-08-28 11:45:02	ga_ls7e_ard_3-0-0_114081_2014-08-28_final
2014-12-15 11:12:36	ga_ls7e_ard_3-0-0_109075_2014-12-15_final
2015-10-27 11:41:14	ga_ls7e_ard_3-0-0_113080_2015-10-27_final
2016-09-09 11:55:06	ga_ls7e_ard_3-0-0_115078_2016-09-09_final
2016-09-13 11:28:48	ga_ls7e_ard_3-0-0_111074_2016-09-13_final
2016-09-22 11:21:03	ga_ls7e_ard_3-0-0_110070_2016-09-22_final
2016-12-07 11:48:18	ga_ls7e_ard_3-0-0_114077_2016-12-07_final
2017-06-26 11:45:05	ga_ls7e_ard_3-0-0_113084_2017-06-26_final
2017-12-17 11:53:33	ga_ls7e_ard_3-0-0_115075_2017-12-17_final
2018-02-23 11:27:07	ga_ls7e_ard_3-0-0_111073_2018-02-23_final
2018-02-28 11:43:13	ga_ls7e_ard_3-0-0_114067_2018-02-28_final
2018-03-27 11:26:20	ga_ls7e_ard_3-0-0_111072_2018-03-27_final
2018-04-12 11:25:41	ga_ls7e_ard_3-0-0_111071_2018-04-12_final
2018-07-01 11:24:17	ga_ls7e_ard_3-0-0_111071_2018-07-01_final
2018-07-06 11:41:08	ga_ls7e_ard_3-0-0_114067_2018-07-06_final
2018-09-28 11:15:56	ga_ls7e_ard_3-0-0_110070_2018-09-28_final
2018-12-17 11:13:59	ga_ls7e_ard_3-0-0_110070_2018-12-17_final
2019-10-20 11:36:48	ga_ls7e_ard_3-1-0_115078_2019-10-20_final
2019-10-24 11:09:55	ga_ls7e_ard_3-1-0_111073_2019-10-24_final
2020-01-28 11:04:26	ga_ls7e_ard_3-1-0_111071_2020-01-28_final
2020-02-04 11:08:40	ga_ls7e_ard_3-1-0_112067_2020-02-04_final
2020-03-16 11:06:18	ga_ls7e_ard_3-1-0_111082_2020-03-16_final
2020-04-03 10:50:32	ga_ls7e_ard_3-1-0_109076_2020-04-03_final
2020-11-07 11:14:03	ga_ls7e_ard_3-1-0_115076_2020-11-07_final
2020-12-19 08:32:19	ga_ls7e_ard_3-1-0_089081_2020-12-18_final
2020-12-26 10:12:29	ga_ls7e_ard_3-1-0_106070_2020-12-26_final
2021-01-07 10:36:23	ga_ls7e_ard_3-1-0_110070_2021-01-07_final
2021-03-08 09:22:57	ga_ls7e_ard_3-2-0_098083_2021-03-07_final
2021-03-16 08:34:53	ga_ls7e_ard_3-2-0_090088_2021-03-15_final
2021-03-19 08:57:10	ga_ls7e_ard_3-2-0_095067_2021-03-18_final
2021-04-04 10:36:20	ga_ls7e_ard_3-2-0_111071_2021-04-04_final
2021-04-16 09:20:46	ga_ls7e_ard_3-2-0_099070_2021-04-15_final
2021-05-07 09:41:56	ga_ls7e_ard_3-2-0_102081_2021-05-07_final
2021-05-19 10:00:27	ga_ls7e_ard_3-2-0_106068_2021-05-19_final
2021-05-22 08:59:24	ga_ls7e_ard_3-2-0_095086_2021-05-21_final
2021-05-24 08:47:16	ga_ls7e_ard_3-2-0_093087_2021-05-23_final
2021-05-26 08:34:44	ga_ls7e_ard_3-2-0_091087_2021-05-25_final
2021-06-23 10:34:50	ga_ls7e_ard_3-2-0_111084_2021-06-23_final
2021-07-05 09:17:40	ga_ls7e_ard_3-2-0_099079_2021-07-04_final
2021-07-18 10:22:09	ga_ls7e_ard_3-2-0_110073_2021-07-18_final
2021-07-22 09:57:53	ga_ls7e_ard_3-2-0_106075_2021-07-22_final
2021-10-19 09:46:39	ga_ls7e_ard_3-2-0_105082_2021-10-19_final
2021-11-23 10:09:26	ga_ls7e_ard_3-2-1_110070_2021-11-23_final
2021-12-21 08:58:12	ga_ls7e_ard_3-2-1_098084_2021-12-20_final
2022-01-05 08:13:50	ga_ls7e_ard_3-2-1_091085_2022-01-04_final
2022-01-29 08:57:48	ga_ls7e_ard_3-2-1_099077_2022-01-28_final
2022-01-29 08:58:11	ga_ls7e_ard_3-2-1_099078_2022-01-28_final
2022-03-27 10:23:40	ga_ls7e_ard_3-2-1_114074_2022-03-27_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