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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

61 results

Time (local)	Label
1999-12-20 11:18:37	ga_ls7e_ard_3-0-0_111073_1999-12-20_final
2001-02-22 09:48:21	ga_ls7e_ard_3-0-0_097070_2001-02-22_final
2002-05-30 09:58:33	ga_ls7e_ard_3-0-0_099069_2002-05-30_final
2002-06-30 10:56:23	ga_ls7e_ard_3-0-0_108075_2002-06-30_final
2002-08-25 10:07:44	ga_ls7e_ard_3-0-0_100078_2002-08-25_final
2002-11-10 09:35:29	ga_ls7e_ard_3-0-0_095075_2002-11-10_final
2003-04-03 11:15:13	ga_ls7e_ard_3-0-0_111075_2003-04-03_final
2004-09-10 11:27:07	ga_ls7e_ard_3-0-0_113074_2004-09-10_final
2004-11-24 11:12:08	ga_ls7e_ard_3-0-0_110082_2004-11-24_final
2006-01-31 10:13:05	ga_ls7e_ard_3-0-0_101071_2006-01-31_final
2006-02-06 11:13:19	ga_ls7e_ard_3-0-0_111067_2006-02-06_final
2006-06-14 11:15:41	ga_ls7e_ard_3-0-0_111073_2006-06-14_final
2007-01-05 10:43:24	ga_ls7e_ard_3-0-0_106069_2007-01-05_final
2008-07-10 09:56:24	ga_ls7e_ard_3-0-0_098077_2008-07-10_final
2008-07-18 09:11:15	ga_ls7e_ard_3-0-0_090088_2008-07-17_final
2008-09-23 09:40:25	ga_ls7e_ard_3-0-0_095085_2008-09-23_final
2008-12-01 09:53:53	ga_ls7e_ard_3-0-0_098071_2008-12-01_final
2009-01-07 10:17:08	ga_ls7e_ard_3-0-0_101082_2009-01-07_final
2009-01-26 10:42:32	ga_ls7e_ard_3-0-0_106068_2009-01-26_final
2009-03-11 09:35:08	ga_ls7e_ard_3-0-0_094084_2009-03-11_final
2009-05-21 11:16:32	ga_ls7e_ard_3-0-0_111074_2009-05-21_final
2010-02-15 09:49:53	ga_ls7e_ard_3-0-0_097070_2010-02-15_final
2010-02-22 09:56:55	ga_ls7e_ard_3-0-0_098072_2010-02-22_final
2010-08-18 09:06:45	ga_ls7e_ard_3-0-0_089085_2010-08-17_final
2010-11-03 10:11:50	ga_ls7e_ard_3-0-0_100077_2010-11-03_final
2011-01-17 09:56:51	ga_ls7e_ard_3-0-0_097084_2011-01-17_final
2011-02-10 09:06:20	ga_ls7e_ard_3-1-0_089081_2011-02-09_final
2011-02-16 10:06:33	ga_ls7e_ard_3-0-0_099077_2011-02-16_final
2011-04-18 09:34:13	ga_ls7e_ard_3-0-0_094073_2011-04-18_final
2012-07-10 10:17:48	ga_ls7e_ard_3-0-0_101071_2012-07-10_final
2013-11-04 10:10:02	ga_ls7e_ard_3-0-0_099079_2013-11-04_final
2014-01-20 09:37:42	ga_ls7e_ard_3-0-0_094074_2014-01-20_final
2014-02-10 09:57:36	ga_ls7e_ard_3-0-0_097077_2014-02-10_final
2014-05-31 10:06:31	ga_ls7e_ard_3-0-0_099067_2014-05-31_final
2015-03-07 10:58:39	ga_ls7e_ard_3-0-0_107070_2015-03-07_final
2015-03-25 09:15:09	ga_ls7e_ard_3-0-0_089089_2015-03-24_final
2015-05-23 10:32:43	ga_ls7e_ard_3-0-0_102081_2015-05-23_final
2015-11-03 10:07:25	ga_ls7e_ard_3-0-0_098077_2015-11-03_final
2016-10-01 11:17:17	ga_ls7e_ard_3-0-0_109076_2016-10-01_final
2016-10-18 10:23:14	ga_ls7e_ard_3-0-0_100080_2016-10-18_final
2017-05-24 09:22:48	ga_ls7e_ard_3-0-0_090084_2017-05-23_final
2017-06-28 09:49:03	ga_ls7e_ard_3-0-0_095072_2017-06-28_final
2017-08-08 11:26:31	ga_ls7e_ard_3-0-0_110084_2017-08-08_final
2017-10-02 09:49:48	ga_ls7e_ard_3-0-0_095074_2017-10-02_final
2018-02-04 09:23:32	ga_ls7e_ard_3-0-0_090088_2018-02-03_final
2018-03-27 11:27:08	ga_ls7e_ard_3-0-0_111074_2018-03-27_final
2018-05-04 09:11:43	ga_ls7e_ard_3-0-0_089077_2018-05-03_final
2018-10-17 10:08:16	ga_ls7e_ard_3-0-0_099072_2018-10-17_final
2019-06-13 09:22:21	ga_ls7e_ard_3-0-0_092084_2019-06-12_final
2019-09-18 09:58:52	ga_ls7e_ard_3-1-0_099077_2019-09-18_final
2019-09-19 09:03:36	ga_ls7e_ard_3-1-0_090078_2019-09-18_final
2019-10-12 09:10:49	ga_ls7e_ard_3-1-0_091083_2019-10-11_final
2020-01-08 11:33:20	ga_ls7e_ard_3-1-0_115079_2020-01-08_final
2020-07-08 10:44:26	ga_ls7e_ard_3-1-0_109075_2020-07-08_final
2020-08-02 09:03:25	ga_ls7e_ard_3-1-0_092089_2020-08-01_final
2020-09-22 09:25:01	ga_ls7e_ard_3-1-0_097074_2020-09-21_final
2021-01-03 11:00:11	ga_ls7e_ard_3-1-0_114067_2021-01-03_final
2021-01-30 10:45:18	ga_ls7e_ard_3-2-0_111081_2021-01-30_final
2021-03-13 09:37:54	ga_ls7e_ard_3-2-0_101075_2021-03-13_final
2021-07-09 08:50:37	ga_ls7e_ard_3-2-0_095074_2021-07-08_final
2022-02-03 09:14:38	ga_ls7e_ard_3-2-1_102074_2022-02-02_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

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