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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

69 results

Time (local)	Label
1999-11-30 10:02:18	ga_ls7e_ard_3-0-0_099068_1999-11-30_final
2000-04-03 09:34:18	ga_ls7e_ard_3-0-0_094076_2000-04-03_final
2000-07-11 10:01:49	ga_ls7e_ard_3-0-0_099070_2000-07-11_final
2001-08-15 10:02:45	ga_ls7e_ard_3-0-0_099079_2001-08-15_final
2001-12-23 11:27:08	ga_ls7e_ard_3-0-0_113074_2001-12-23_final
2002-04-11 09:23:04	ga_ls7e_ard_3-0-0_092088_2002-04-10_final
2003-01-20 09:41:27	ga_ls7e_ard_3-0-0_096073_2003-01-20_final
2003-03-30 09:59:25	ga_ls7e_ard_3-0-0_099071_2003-03-30_final
2003-11-26 10:44:15	ga_ls7e_ard_3-1-0_106075_2003-11-26_final
2004-05-28 09:56:06	ga_ls7e_ard_3-0-0_098077_2004-05-28_final
2005-01-16 09:46:58	ga_ls7e_ard_3-0-0_097069_2005-01-16_final
2005-01-20 09:28:38	ga_ls7e_ard_3-0-0_093085_2005-01-19_final
2005-02-08 09:54:29	ga_ls7e_ard_3-0-0_098072_2005-02-08_final
2005-02-08 09:57:17	ga_ls7e_ard_3-0-0_098079_2005-02-08_final
2005-02-15 09:58:44	ga_ls7e_ard_3-0-0_099067_2005-02-15_final
2005-08-31 10:22:28	ga_ls7e_ard_3-0-0_102081_2005-08-31_final
2005-11-23 09:53:41	ga_ls7e_ard_3-0-0_098070_2005-11-23_final
2006-06-03 09:57:47	ga_ls7e_ard_3-0-0_098079_2006-06-03_final
2006-06-12 11:25:40	ga_ls7e_ard_3-0-0_113067_2006-06-12_final
2006-08-18 10:21:19	ga_ls7e_ard_3-0-0_102077_2006-08-18_final
2006-09-23 09:52:50	ga_ls7e_ard_3-0-0_098068_2006-09-23_final
2006-11-09 09:17:55	ga_ls7e_ard_3-0-0_091088_2006-11-08_final
2006-12-20 10:46:58	ga_ls7e_ard_3-0-0_106078_2006-12-20_final
2008-01-15 10:50:07	ga_ls7e_ard_3-0-0_107070_2008-01-15_final
2008-10-05 10:02:37	ga_ls7e_ard_3-0-0_099079_2008-10-05_final
2009-01-03 10:36:38	ga_ls7e_ard_3-0-0_105069_2009-01-03_final
2009-01-09 10:00:47	ga_ls7e_ard_3-0-0_099072_2009-01-09_final
2009-05-12 09:41:01	ga_ls7e_ard_3-0-0_096067_2009-05-12_final
2009-05-29 10:25:29	ga_ls7e_ard_3-0-0_103070_2009-05-29_final
2009-06-13 09:48:36	ga_ls7e_ard_3-1-0_096086_2009-06-13_final
2009-07-04 10:05:53	ga_ls7e_ard_3-0-0_099083_2009-07-04_final
2009-07-30 10:40:03	ga_ls7e_ard_3-0-0_105076_2009-07-30_final
2010-03-25 09:15:51	ga_ls7e_ard_3-0-0_091077_2010-03-24_final
2010-04-08 09:29:27	ga_ls7e_ard_3-0-0_093080_2010-04-07_final
2010-04-28 09:05:30	ga_ls7e_ard_3-0-0_089082_2010-04-27_final
2010-10-27 10:03:13	ga_ls7e_ard_3-0-0_099071_2010-10-27_final
2011-01-06 10:12:31	ga_ls7e_ard_3-0-0_100077_2011-01-06_final
2011-06-16 09:22:03	ga_ls7e_ard_3-0-0_091089_2011-06-15_final
2011-10-27 11:12:28	ga_ls7e_ard_3-1-0_110072_2011-10-27_final
2012-01-04 09:57:58	ga_ls7e_ard_3-0-0_097085_2012-01-04_final
2012-01-11 10:03:22	ga_ls7e_ard_3-0-0_098083_2012-01-11_final
2012-11-01 10:08:58	ga_ls7e_ard_3-0-0_099077_2012-11-01_final
2012-11-16 09:22:13	ga_ls7e_ard_3-0-0_092068_2012-11-15_final
2014-03-20 09:24:58	ga_ls7e_ard_3-0-0_091088_2014-03-19_final
2014-03-28 10:08:04	ga_ls7e_ard_3-0-0_099072_2014-03-28_final
2014-04-29 10:07:08	ga_ls7e_ard_3-0-0_099069_2014-04-29_final
2014-09-24 09:44:09	ga_ls7e_ard_3-0-0_095072_2014-09-24_final
2014-11-23 11:50:41	ga_ls7e_ard_3-0-0_115078_2014-11-23_final
2015-01-20 10:45:33	ga_ls7e_ard_3-0-0_105069_2015-01-20_final
2016-03-18 10:54:54	ga_ls7e_ard_3-0-0_106068_2016-03-18_final
2016-04-13 10:00:25	ga_ls7e_ard_3-1-0_096086_2016-04-13_final
2016-05-30 10:52:17	ga_ls7e_ard_3-0-0_105076_2016-05-30_final
2016-09-24 09:35:23	ga_ls7e_ard_3-0-0_092084_2016-09-24_final
2016-11-19 10:21:50	ga_ls7e_ard_3-0-0_100077_2016-11-19_final
2017-02-04 09:48:23	ga_ls7e_ard_3-0-0_095072_2017-02-04_final
2018-02-11 09:29:13	ga_ls7e_ard_3-0-0_091087_2018-02-10_final
2018-03-01 10:48:47	ga_ls7e_ard_3-0-0_105070_2018-03-01_final
2018-10-15 10:25:04	ga_ls7e_ard_3-0-0_101083_2018-10-15_final
2019-06-23 09:53:04	ga_ls7e_ard_3-0-0_098069_2019-06-23_final
2019-07-26 10:37:03	ga_ls7e_ard_3-0-0_105074_2019-07-26_final
2019-10-04 09:58:59	ga_ls7e_ard_3-1-0_099079_2019-10-04_final
2020-01-28 11:04:26	ga_ls7e_ard_3-1-0_111071_2020-01-28_final
2020-04-22 09:41:51	ga_ls7e_ard_3-1-0_098077_2020-04-22_final
2020-07-07 10:03:37	ga_ls7e_ard_3-1-0_102081_2020-07-07_final
2020-08-03 09:39:26	ga_ls7e_ard_3-1-0_099071_2020-08-03_final
2020-09-23 10:11:24	ga_ls7e_ard_3-1-0_104082_2020-09-23_final
2021-01-10 09:30:59	ga_ls7e_ard_3-1-0_099077_2021-01-10_final
2021-12-08 09:25:34	ga_ls7e_ard_3-2-1_103072_2021-12-07_final
2022-01-20 09:05:15	ga_ls7e_ard_3-2-1_100078_2022-01-19_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