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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

67 results

Time (local)	Label
1999-07-24 11:00:21	ga_ls7e_ard_3-0-0_108074_1999-07-24_final
1999-07-25 10:06:21	ga_ls7e_ard_3-0-0_099078_1999-07-25_final
2000-07-26 10:58:44	ga_ls7e_ard_3-0-0_108074_2000-07-26_final
2000-08-11 09:25:20	ga_ls7e_ard_3-0-0_092088_2000-08-10_final
2000-10-30 10:57:54	ga_ls7e_ard_3-0-0_108074_2000-10-30_final
2001-02-24 09:34:47	ga_ls7e_ard_3-0-0_095067_2001-02-24_final
2001-07-05 10:08:40	ga_ls7e_ard_3-0-0_100077_2001-07-05_final
2001-11-07 09:32:49	ga_ls7e_ard_3-0-0_095067_2001-11-07_final
2002-01-10 09:33:10	ga_ls7e_ard_3-0-0_095067_2002-01-10_final
2002-07-16 10:53:54	ga_ls7e_ard_3-0-0_108069_2002-07-16_final
2002-08-03 09:06:54	ga_ls7e_ard_3-0-0_090080_2002-08-02_final
2002-08-22 09:32:31	ga_ls7e_ard_3-0-0_095067_2002-08-22_final
2002-09-10 10:07:15	ga_ls7e_ard_3-0-0_100077_2002-09-10_final
2003-11-09 10:01:59	ga_ls7e_ard_3-0-0_099078_2003-11-09_final
2004-05-02 10:54:43	ga_ls7e_ard_3-0-0_108069_2004-05-02_final
2004-05-20 10:45:10	ga_ls7e_ard_3-0-0_106076_2004-05-20_final
2004-07-23 10:44:54	ga_ls7e_ard_3-0-0_106076_2004-07-23_final
2004-07-26 09:33:18	ga_ls7e_ard_3-0-0_095067_2004-07-26_final
2004-08-06 10:56:21	ga_ls7e_ard_3-0-0_108074_2004-08-06_final
2004-08-11 09:33:13	ga_ls7e_ard_3-0-0_095067_2004-08-11_final
2004-09-25 10:44:11	ga_ls7e_ard_3-1-0_106075_2004-09-25_final
2005-01-27 11:13:18	ga_ls7e_ard_3-0-0_110084_2005-01-27_final
2005-02-07 10:51:18	ga_ls7e_ard_3-0-0_107075_2005-02-07_final
2005-03-29 10:39:04	ga_ls7e_ard_3-0-0_105075_2005-03-29_final
2005-07-25 10:02:32	ga_ls7e_ard_3-0-0_099077_2005-07-25_final
2005-12-24 10:51:26	ga_ls7e_ard_3-0-0_107075_2005-12-24_final
2006-03-06 10:03:37	ga_ls7e_ard_3-0-0_099078_2006-03-06_final
2007-01-13 09:54:46	ga_ls7e_ard_3-0-0_098071_2007-01-13_final
2007-05-27 10:55:49	ga_ls7e_ard_3-0-0_108069_2007-05-27_final
2007-10-19 10:03:21	ga_ls7e_ard_3-0-0_099078_2007-10-19_final
2008-01-28 10:23:36	ga_ls7e_ard_3-0-0_102081_2008-01-28_final
2008-06-03 09:34:16	ga_ls7e_ard_3-0-0_095067_2008-06-03_final
2009-05-09 09:18:06	ga_ls7e_ard_3-0-0_091087_2009-05-08_final
2009-10-28 09:34:46	ga_ls7e_ard_3-0-0_095067_2009-10-28_final
2009-12-05 09:02:09	ga_ls7e_ard_3-0-0_089077_2009-12-04_final
2010-04-15 11:11:19	ga_ls7e_ard_3-1-0_110072_2010-04-15_final
2010-06-29 09:21:03	ga_ls7e_ard_3-0-0_091090_2010-06-28_final
2011-01-19 09:37:44	ga_ls7e_ard_3-0-0_095067_2011-01-19_final
2011-03-08 09:37:58	ga_ls7e_ard_3-0-0_095067_2011-03-08_final
2011-08-06 09:44:01	ga_ls7e_ard_3-0-0_096067_2011-08-06_final
2012-05-06 11:11:41	ga_ls7e_ard_3-0-0_110067_2012-05-06_final
2012-08-17 09:39:34	ga_ls7e_ard_3-0-0_095067_2012-08-17_final
2014-01-02 09:47:02	ga_ls7e_ard_3-0-0_096067_2014-01-02_final
2014-05-10 09:47:51	ga_ls7e_ard_3-0-0_096067_2014-05-10_final
2014-06-04 09:41:48	ga_ls7e_ard_3-0-0_095067_2014-06-04_final
2014-08-14 09:48:14	ga_ls7e_ard_3-0-0_096067_2014-08-14_final
2015-06-12 10:03:45	ga_ls7e_ard_3-0-0_098070_2015-06-12_final
2015-08-10 09:44:14	ga_ls7e_ard_3-0-0_095067_2015-08-10_final
2015-08-14 09:27:30	ga_ls7e_ard_3-0-0_091087_2015-08-13_final
2016-10-31 09:47:05	ga_ls7e_ard_3-0-0_095067_2016-10-31_final
2017-06-29 10:35:54	ga_ls7e_ard_3-0-0_102081_2017-06-29_final
2018-02-07 09:46:00	ga_ls7e_ard_3-0-0_095067_2018-02-07_final
2018-05-14 09:44:39	ga_ls7e_ard_3-0-0_095067_2018-05-14_final
2018-08-04 11:12:54	ga_ls7e_ard_3-0-0_109075_2018-08-04_final
2019-01-25 09:38:53	ga_ls7e_ard_3-0-0_095067_2019-01-25_final
2019-05-15 09:52:42	ga_ls7e_ard_3-0-0_097080_2019-05-15_final
2019-05-17 09:35:05	ga_ls7e_ard_3-0-0_095067_2019-05-17_final
2019-11-27 10:56:47	ga_ls7e_ard_3-1-0_109075_2019-11-27_final
2020-01-10 09:42:47	ga_ls7e_ard_3-1-0_097081_2020-01-10_final
2020-02-08 09:08:51	ga_ls7e_ard_3-1-0_092077_2020-02-07_final
2020-08-03 09:41:49	ga_ls7e_ard_3-1-0_099077_2020-08-03_final
2020-08-28 09:30:27	ga_ls7e_ard_3-1-0_098068_2020-08-28_final
2021-02-22 09:05:18	ga_ls7e_ard_3-2-0_096067_2021-02-21_final
2021-04-20 08:54:31	ga_ls7e_ard_3-2-0_095067_2021-04-19_final
2021-08-26 08:43:38	ga_ls7e_ard_3-2-0_095067_2021-08-25_final
2021-10-29 08:37:57	ga_ls7e_ard_3-2-0_095067_2021-10-28_final
2021-12-04 09:52:40	ga_ls7e_ard_3-2-1_107077_2021-12-04_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