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
2000-01-03 11:32:28	ga_ls7e_ard_3-0-0_113077_2000-01-03_final
2000-01-14 11:13:08	ga_ls7e_ard_3-0-0_110075_2000-01-14_final
2000-06-06 11:14:57	ga_ls7e_ard_3-0-0_110082_2000-06-06_final
2000-07-11 11:44:18	ga_ls7e_ard_3-0-0_115079_2000-07-11_final
2000-08-29 10:47:18	ga_ls7e_ard_3-0-0_106077_2000-08-29_final
2000-12-03 10:47:55	ga_ls7e_ard_3-0-0_106080_2000-12-03_final
2001-01-16 11:09:35	ga_ls7e_ard_3-1-0_110072_2001-01-16_final
2002-01-06 11:41:06	ga_ls7e_ard_3-0-0_115078_2002-01-06_final
2002-05-13 10:57:06	ga_ls7e_ard_3-0-0_108076_2002-05-13_final
2003-01-29 11:12:12	ga_ls7e_ard_3-0-0_111068_2003-01-29_final
2003-08-11 11:00:56	ga_ls7e_ard_3-0-0_109071_2003-08-11_final
2003-08-18 11:06:43	ga_ls7e_ard_3-0-0_110070_2003-08-18_final
2004-01-05 11:34:44	ga_ls7e_ard_3-0-0_114077_2004-01-05_final
2004-06-26 11:02:21	ga_ls7e_ard_3-0-0_109073_2004-06-26_final
2004-09-12 11:13:33	ga_ls7e_ard_3-0-0_111071_2004-09-12_final
2004-11-19 10:52:44	ga_ls7e_ard_3-0-0_107080_2004-11-19_final
2005-07-26 10:45:24	ga_ls7e_ard_3-0-0_106076_2005-07-26_final
2006-04-17 10:42:12	ga_ls7e_ard_3-0-0_105082_2006-04-17_final
2007-04-26 11:41:41	ga_ls7e_ard_3-0-0_115075_2007-04-26_final
2007-04-26 11:42:05	ga_ls7e_ard_3-0-0_115076_2007-04-26_final
2007-06-05 10:51:37	ga_ls7e_ard_3-0-0_107074_2007-06-05_final
2007-08-22 11:02:55	ga_ls7e_ard_3-0-0_109072_2007-08-22_final
2008-01-25 11:28:47	ga_ls7e_ard_3-0-0_113074_2008-01-25_final
2008-07-05 11:14:25	ga_ls7e_ard_3-0-0_111071_2008-07-05_final
2009-02-03 11:36:48	ga_ls7e_ard_3-0-0_114080_2009-02-03_final
2009-10-18 10:39:35	ga_ls7e_ard_3-0-0_105075_2009-10-18_final
2009-11-06 11:08:48	ga_ls7e_ard_3-0-0_110070_2009-11-06_final
2009-12-03 10:55:46	ga_ls7e_ard_3-0-0_107083_2009-12-03_final
2010-03-02 10:47:14	ga_ls7e_ard_3-0-0_106074_2010-03-02_final
2010-03-05 11:15:22	ga_ls7e_ard_3-0-0_111067_2010-03-05_final
2010-04-17 10:58:10	ga_ls7e_ard_3-0-0_108070_2010-04-17_final
2010-06-07 11:34:10	ga_ls7e_ard_3-0-0_113083_2010-06-07_final
2010-07-08 10:47:00	ga_ls7e_ard_3-0-0_106073_2010-07-08_final
2010-11-16 11:18:25	ga_ls7e_ard_3-0-0_111073_2010-11-16_final
2011-09-16 11:23:21	ga_ls7e_ard_3-0-0_111084_2011-09-16_final
2011-11-19 11:18:31	ga_ls7e_ard_3-0-0_111071_2011-11-19_final
2011-12-01 11:46:32	ga_ls7e_ard_3-0-0_115079_2011-12-01_final
2012-02-14 11:26:24	ga_ls7e_ard_3-0-0_112074_2012-02-14_final
2012-03-05 11:02:02	ga_ls7e_ard_3-1-0_108075_2012-03-05_final
2012-11-17 11:46:46	ga_ls7e_ard_3-0-0_115074_2012-11-17_final
2013-01-15 11:32:23	ga_ls7e_ard_3-0-0_112084_2013-01-15_final
2013-03-22 11:14:23	ga_ls7e_ard_3-0-0_110070_2013-03-22_final
2013-07-28 11:15:35	ga_ls7e_ard_3-0-0_110075_2013-07-28_final
2014-06-20 11:22:18	ga_ls7e_ard_3-0-0_111071_2014-06-20_final
2014-07-11 11:39:21	ga_ls7e_ard_3-0-0_114067_2014-07-11_final
2014-12-11 11:36:52	ga_ls7e_ard_3-0-0_113074_2014-12-11_final
2014-12-15 11:13:00	ga_ls7e_ard_3-0-0_109076_2014-12-15_final
2015-09-25 11:42:00	ga_ls7e_ard_3-0-0_113083_2015-09-25_final
2015-11-10 11:53:01	ga_ls7e_ard_3-0-0_115078_2015-11-10_final
2016-04-12 10:52:02	ga_ls7e_ard_3-0-0_105076_2016-04-12_final
2016-07-11 11:28:14	ga_ls7e_ard_3-0-0_111073_2016-07-11_final
2016-10-05 10:52:10	ga_ls7e_ard_3-0-0_105075_2016-10-05_final
2016-10-28 10:55:29	ga_ls7e_ard_3-0-0_106068_2016-10-28_final
2017-02-27 11:35:08	ga_ls7e_ard_3-0-0_112076_2017-02-27_final
2017-04-25 11:27:18	ga_ls7e_ard_3-0-0_111071_2017-04-25_final
2017-05-01 10:54:38	ga_ls7e_ard_3-0-0_105082_2017-05-01_final
2017-08-08 11:25:43	ga_ls7e_ard_3-0-0_110082_2017-08-08_final
2017-08-28 10:55:24	ga_ls7e_ard_3-0-0_106068_2017-08-28_final
2017-10-08 10:51:37	ga_ls7e_ard_3-0-0_105074_2017-10-08_final
2017-10-25 11:32:07	ga_ls7e_ard_3-0-0_112067_2017-10-25_final
2017-12-07 11:16:34	ga_ls7e_ard_3-0-0_109075_2017-12-07_final
2017-12-25 11:02:25	ga_ls7e_ard_3-0-0_107071_2017-12-25_final
2018-01-26 11:01:34	ga_ls7e_ard_3-0-0_107070_2018-01-26_final
2018-01-31 11:24:24	ga_ls7e_ard_3-0-0_110081_2018-01-31_final
2018-06-08 11:22:32	ga_ls7e_ard_3-0-0_110081_2018-06-08_final
2019-07-10 10:37:41	ga_ls7e_ard_3-0-0_105074_2019-07-10_final
2019-08-19 11:29:05	ga_ls7e_ard_3-0-0_113083_2019-08-19_final
2019-12-06 10:48:34	ga_ls7e_ard_3-1-0_108071_2019-12-06_final
2019-12-11 11:08:04	ga_ls7e_ard_3-1-0_111074_2019-12-11_final
2020-05-09 10:22:53	ga_ls7e_ard_3-1-0_105074_2020-05-09_final
2020-06-01 10:30:52	ga_ls7e_ard_3-1-0_106082_2020-06-01_final
2020-08-07 10:58:32	ga_ls7e_ard_3-1-0_111084_2020-08-07_final
2020-09-01 10:46:45	ga_ls7e_ard_3-1-0_110074_2020-09-01_final
2020-10-16 10:13:43	ga_ls7e_ard_3-1-0_105076_2020-10-16_final
2020-11-24 08:41:58	ga_ls7e_ard_3-1-0_090085_2020-11-23_final
2020-12-01 08:44:03	ga_ls7e_ard_3-1-0_091076_2020-11-30_final
2020-12-13 09:04:17	ga_ls7e_ard_3-1-0_095067_2020-12-12_final
2020-12-19 10:08:25	ga_ls7e_ard_3-1-0_105074_2020-12-19_final
2021-01-29 09:56:56	ga_ls7e_ard_3-2-0_104068_2021-01-29_final
2021-02-04 09:23:24	ga_ls7e_ard_3-2-0_098078_2021-02-03_final
2021-03-15 11:05:52	ga_ls7e_ard_3-2-0_115079_2021-03-15_final
2021-03-22 09:31:00	ga_ls7e_ard_3-2-0_100075_2021-03-22_final
2021-05-10 08:33:18	ga_ls7e_ard_3-2-0_091080_2021-05-09_final
2021-05-12 09:57:16	ga_ls7e_ard_3-2-0_105074_2021-05-12_final
2021-05-22 10:32:42	ga_ls7e_ard_3-2-0_111072_2021-05-22_final
2021-06-11 08:31:25	ga_ls7e_ard_3-2-0_091082_2021-06-10_final
2021-06-23 10:31:38	ga_ls7e_ard_3-2-0_111076_2021-06-23_final
2021-08-06 09:16:54	ga_ls7e_ard_3-2-0_099084_2021-08-05_final
2021-09-22 08:30:18	ga_ls7e_ard_3-2-0_092086_2021-09-21_final
2021-10-22 08:39:36	ga_ls7e_ard_3-2-0_094085_2021-10-21_final
2021-10-27 10:35:21	ga_ls7e_ard_3-2-0_113082_2021-10-27_final
2021-11-03 08:56:01	ga_ls7e_ard_3-2-0_098067_2021-11-02_final
2021-11-20 08:02:45	ga_ls7e_ard_3-2-1_089077_2021-11-19_final
2021-11-21 10:26:47	ga_ls7e_ard_3-2-1_112082_2021-11-21_final
2021-11-23 10:14:13	ga_ls7e_ard_3-2-1_110082_2021-11-23_final
2021-11-27 09:44:44	ga_ls7e_ard_3-2-1_106071_2021-11-27_final
2021-12-04 08:13:23	ga_ls7e_ard_3-2-1_091076_2021-12-03_final
2022-02-01 09:26:00	ga_ls7e_ard_3-2-1_104071_2022-01-31_final
2022-02-04 09:58:11	ga_ls7e_ard_3-2-1_109075_2022-02-04_final
2022-02-18 08:29:27	ga_ls7e_ard_3-2-1_095073_2022-02-17_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