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
1999-08-16 11:06:35	ga_ls7e_ard_3-0-0_109074_1999-08-16_final
1999-12-29 11:11:05	ga_ls7e_ard_3-0-0_110070_1999-12-29_final
2000-02-01 11:03:56	ga_ls7e_ard_3-0-0_108083_2000-02-01_final
2000-04-22 11:44:18	ga_ls7e_ard_3-1-0_115077_2000-04-22_final
2000-05-12 11:17:49	ga_ls7e_ard_3-0-0_111073_2000-05-12_final
2000-12-05 08:57:27	ga_ls7e_ard_3-0-0_088082_2000-12-04_final
2002-04-28 11:40:01	ga_ls7e_ard_3-0-0_115075_2002-04-28_final
2002-05-01 08:56:22	ga_ls7e_ard_3-0-0_088083_2002-04-30_final
2002-10-11 11:01:19	ga_ls7e_ard_3-0-0_109074_2002-10-11_final
2004-04-30 11:07:28	ga_ls7e_ard_3-0-0_110070_2004-04-30_final
2004-08-16 11:33:26	ga_ls7e_ard_3-0-0_114074_2004-08-16_final
2004-11-17 11:03:04	ga_ls7e_ard_3-0-0_109075_2004-11-17_final
2004-11-24 11:07:21	ga_ls7e_ard_3-0-0_110070_2004-11-24_final
2004-12-13 11:41:35	ga_ls7e_ard_3-0-0_115078_2004-12-13_final
2005-01-01 08:56:05	ga_ls7e_ard_3-0-0_088081_2004-12-31_final
2005-01-18 09:36:12	ga_ls7e_ard_3-1-0_095073_2005-01-18_final
2005-04-13 11:37:00	ga_ls7e_ard_3-0-0_114081_2005-04-13_final
2005-04-17 11:07:51	ga_ls7e_ard_3-0-0_110070_2005-04-17_final
2005-05-26 11:14:28	ga_ls7e_ard_3-0-0_111071_2005-05-26_final
2005-07-15 11:03:09	ga_ls7e_ard_3-0-0_109074_2005-07-15_final
2005-08-19 11:33:56	ga_ls7e_ard_3-0-0_114074_2005-08-19_final
2005-09-10 10:56:39	ga_ls7e_ard_3-0-0_108074_2005-09-10_final
2005-10-26 11:07:35	ga_ls7e_ard_3-0-0_110070_2005-10-26_final
2005-11-14 11:41:53	ga_ls7e_ard_3-0-0_115078_2005-11-14_final
2005-12-13 11:07:56	ga_ls7e_ard_3-0-0_110070_2005-12-13_final
2006-01-14 11:10:34	ga_ls7e_ard_3-0-0_110076_2006-01-14_final
2006-01-16 10:57:26	ga_ls7e_ard_3-0-0_108074_2006-01-16_final
2006-01-28 11:22:14	ga_ls7e_ard_3-0-0_112074_2006-01-28_final
2006-03-05 10:57:38	ga_ls7e_ard_3-0-0_108074_2006-03-05_final
2006-04-27 11:15:43	ga_ls7e_ard_3-0-0_111073_2006-04-27_final
2006-06-30 11:14:48	ga_ls7e_ard_3-0-0_111071_2006-06-30_final
2006-09-30 11:42:14	ga_ls7e_ard_3-0-0_115079_2006-09-30_final
2006-11-21 09:36:24	ga_ls7e_ard_3-0-0_095072_2006-11-21_final
2006-12-16 11:08:29	ga_ls7e_ard_3-0-0_110070_2006-12-16_final
2007-01-26 11:02:25	ga_ls7e_ard_3-0-0_109070_2007-01-26_final
2007-05-15 08:57:06	ga_ls7e_ard_3-0-0_088081_2007-05-14_final
2007-12-05 10:57:48	ga_ls7e_ard_3-0-0_108074_2007-12-05_final
2008-03-04 11:34:48	ga_ls7e_ard_3-0-0_114074_2008-03-04_final
2008-05-20 11:04:05	ga_ls7e_ard_3-0-0_109075_2008-05-20_final
2008-08-15 11:07:28	ga_ls7e_ard_3-0-0_110070_2008-08-15_final
2009-02-10 11:42:15	ga_ls7e_ard_3-0-0_115078_2009-02-10_final
2009-02-14 11:13:11	ga_ls7e_ard_3-0-0_111067_2009-02-14_final
2009-05-21 09:37:15	ga_ls7e_ard_3-1-0_095073_2009-05-21_final
2009-07-01 11:09:29	ga_ls7e_ard_3-1-0_110072_2009-07-01_final
2009-12-27 11:42:25	ga_ls7e_ard_3-0-0_115075_2009-12-27_final
2010-11-30 11:33:44	ga_ls7e_ard_3-0-0_113080_2010-11-30_final
2011-02-16 11:45:27	ga_ls7e_ard_3-0-0_115077_2011-02-16_final
2011-07-26 11:46:17	ga_ls7e_ard_3-0-0_115079_2011-07-26_final
2011-09-16 09:39:41	ga_ls7e_ard_3-0-0_095072_2011-09-16_final
2011-11-01 11:31:48	ga_ls7e_ard_3-0-0_113074_2011-11-01_final
2012-01-15 11:14:44	ga_ls7e_ard_3-0-0_110076_2012-01-15_final
2012-08-26 11:13:32	ga_ls7e_ard_3-0-0_110070_2012-08-26_final
2012-09-18 11:20:20	ga_ls7e_ard_3-0-0_111071_2012-09-18_final
2012-10-13 11:14:48	ga_ls7e_ard_3-1-0_110072_2012-10-13_final
2013-01-04 11:48:58	ga_ls7e_ard_3-0-0_115079_2013-01-04_final
2013-04-30 09:47:06	ga_ls7e_ard_3-0-0_095084_2013-04-30_final
2013-08-18 11:37:45	ga_ls7e_ard_3-0-0_113084_2013-08-18_final
2013-11-10 11:10:17	ga_ls7e_ard_3-0-0_109075_2013-11-10_final
2014-12-27 11:34:10	ga_ls7e_ard_3-0-0_113067_2014-12-27_final
2015-03-03 11:27:21	ga_ls7e_ard_3-0-0_111080_2015-03-03_final
2015-03-19 11:24:41	ga_ls7e_ard_3-0-0_111073_2015-03-19_final
2015-09-27 11:30:03	ga_ls7e_ard_3-0-0_111084_2015-09-27_final
2015-11-07 11:18:52	ga_ls7e_ard_3-0-0_110070_2015-11-07_final
2016-10-15 11:27:38	ga_ls7e_ard_3-0-0_111071_2016-10-15_final
2017-01-21 11:14:12	ga_ls7e_ard_3-0-0_109070_2017-01-21_final
2017-01-28 11:20:20	ga_ls7e_ard_3-0-0_110070_2017-01-28_final
2018-02-28 11:43:13	ga_ls7e_ard_3-0-0_114067_2018-02-28_final
2018-09-12 11:16:18	ga_ls7e_ard_3-0-0_110070_2018-09-12_final
2019-01-02 11:13:30	ga_ls7e_ard_3-0-0_110070_2019-01-02_final
2019-03-09 11:01:05	ga_ls7e_ard_3-1-0_108075_2019-03-09_final
2019-06-11 11:08:04	ga_ls7e_ard_3-0-0_110070_2019-06-11_final
2019-07-29 11:07:02	ga_ls7e_ard_3-1-0_110072_2019-07-29_final
2019-08-14 11:05:34	ga_ls7e_ard_3-0-0_110070_2019-08-14_final
2019-11-11 10:57:33	ga_ls7e_ard_3-1-0_109075_2019-11-11_final
2019-11-16 11:19:27	ga_ls7e_ard_3-1-0_112084_2019-11-16_final
2020-03-14 11:18:22	ga_ls7e_ard_3-1-0_113081_2020-03-14_final
2020-04-06 11:20:52	ga_ls7e_ard_3-1-0_114075_2020-04-06_final
2020-07-24 10:43:27	ga_ls7e_ard_3-1-0_109075_2020-07-24_final
2020-10-05 10:34:34	ga_ls7e_ard_3-1-0_108080_2020-10-05_final
2020-11-20 10:45:27	ga_ls7e_ard_3-1-0_110084_2020-11-20_final
2021-03-06 09:35:28	ga_ls7e_ard_3-2-0_100083_2021-03-06_final
2021-03-26 09:10:21	ga_ls7e_ard_3-2-0_096086_2021-03-25_final
2021-03-30 10:22:59	ga_ls7e_ard_3-2-0_108083_2021-03-30_final
2021-04-15 10:16:05	ga_ls7e_ard_3-2-0_108069_2021-04-15_final
2021-04-26 09:59:24	ga_ls7e_ard_3-2-0_105076_2021-04-26_final
2021-06-19 09:18:36	ga_ls7e_ard_3-2-0_099078_2021-06-18_final
2021-07-15 09:51:54	ga_ls7e_ard_3-2-0_105074_2021-07-15_final
2021-07-21 09:15:30	ga_ls7e_ard_3-2-0_099077_2021-07-20_final
2021-07-25 10:26:55	ga_ls7e_ard_3-2-0_111071_2021-07-25_final
2021-08-31 09:06:08	ga_ls7e_ard_3-2-0_098078_2021-08-30_final
2021-09-01 09:45:43	ga_ls7e_ard_3-2-0_105069_2021-09-01_final
2021-09-27 10:21:17	ga_ls7e_ard_3-2-0_111071_2021-09-27_final
2021-10-22 08:32:25	ga_ls7e_ard_3-2-0_094067_2021-10-21_final
2021-10-25 09:07:26	ga_ls7e_ard_3-2-0_099078_2021-10-24_final
2021-11-06 09:27:02	ga_ls7e_ard_3-2-0_103068_2021-11-05_final
2021-12-08 09:25:34	ga_ls7e_ard_3-2-1_103072_2021-12-07_final
2021-12-16 08:35:46	ga_ls7e_ard_3-2-1_095073_2021-12-15_final
2022-01-01 10:13:03	ga_ls7e_ard_3-2-1_111073_2022-01-01_final
2022-01-07 09:36:35	ga_ls7e_ard_3-2-1_105076_2022-01-07_final
2022-02-19 09:11:01	ga_ls7e_ard_3-2-1_102069_2022-02-18_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