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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

68 results

Time (local)	Label
2000-09-21 10:50:37	ga_ls7e_ard_3-0-0_107071_2000-09-21_final
2000-12-17 10:57:34	ga_ls7e_ard_3-0-0_108073_2000-12-17_final
2001-03-17 11:37:41	ga_ls7e_ard_3-0-0_114081_2001-03-17_final
2001-04-02 09:55:03	ga_ls7e_ard_3-0-0_098072_2001-04-02_final
2001-04-18 11:37:32	ga_ls7e_ard_3-0-0_114081_2001-04-18_final
2001-08-15 10:02:21	ga_ls7e_ard_3-0-0_099078_2001-08-15_final
2001-10-12 09:03:03	ga_ls7e_ard_3-0-0_089086_2001-10-11_final
2004-02-10 11:07:25	ga_ls7e_ard_3-0-0_110070_2004-02-10_final
2004-04-17 11:40:21	ga_ls7e_ard_3-0-0_115075_2004-04-17_final
2004-11-09 10:16:48	ga_ls7e_ard_3-0-0_101083_2004-11-09_final
2005-05-28 09:30:00	ga_ls7e_ard_3-1-0_093088_2005-05-28_final
2006-03-21 09:23:33	ga_ls7e_ard_3-0-0_092086_2006-03-20_final
2006-11-07 11:07:33	ga_ls7e_ard_3-0-0_109084_2006-11-07_final
2007-04-23 11:09:36	ga_ls7e_ard_3-1-0_110072_2007-04-23_final
2007-05-20 09:18:48	ga_ls7e_ard_3-0-0_091089_2007-05-19_final
2008-01-23 10:03:52	ga_ls7e_ard_3-0-0_099078_2008-01-23_final
2009-03-29 10:56:36	ga_ls7e_ard_3-0-0_108071_2009-03-29_final
2009-05-17 10:01:34	ga_ls7e_ard_3-0-0_099072_2009-05-17_final
2010-04-03 09:14:30	ga_ls7e_ard_3-0-0_090089_2010-04-02_final
2010-04-28 09:04:43	ga_ls7e_ard_3-0-0_089080_2010-04-27_final
2010-07-03 10:26:27	ga_ls7e_ard_3-0-0_103068_2010-07-03_final
2010-07-16 10:01:33	ga_ls7e_ard_3-0-0_098083_2010-07-16_final
2010-09-18 09:57:38	ga_ls7e_ard_3-0-0_098073_2010-09-18_final
2010-10-20 09:56:58	ga_ls7e_ard_3-0-0_098071_2010-10-20_final
2010-11-13 09:10:35	ga_ls7e_ard_3-0-0_090078_2010-11-12_final
2011-04-18 11:16:18	ga_ls7e_ard_3-0-0_110081_2011-04-18_final
2011-06-20 10:33:00	ga_ls7e_ard_3-0-0_103081_2011-06-20_final
2011-10-23 11:40:46	ga_ls7e_ard_3-0-0_114081_2011-10-23_final
2012-11-10 11:41:18	ga_ls7e_ard_3-0-0_114076_2012-11-10_final
2012-11-15 10:21:25	ga_ls7e_ard_3-0-0_101077_2012-11-15_final
2012-11-17 10:06:41	ga_ls7e_ard_3-0-0_099071_2012-11-17_final
2013-07-31 11:47:39	ga_ls7e_ard_3-0-0_115078_2013-07-31_final
2014-02-01 10:00:37	ga_ls7e_ard_3-0-0_098069_2014-02-01_final
2014-05-05 09:37:15	ga_ls7e_ard_3-1-0_093087_2014-05-05_final
2014-06-17 09:18:29	ga_ls7e_ard_3-0-0_090086_2014-06-16_final
2014-08-29 09:10:32	ga_ls7e_ard_3-1-0_089081_2014-08-28_final
2014-10-29 10:17:25	ga_ls7e_ard_3-0-0_100077_2014-10-29_final
2015-04-09 10:08:54	ga_ls7e_ard_3-0-0_098084_2015-04-09_final
2015-04-29 11:23:11	ga_ls7e_ard_3-0-0_110084_2015-04-29_final
2015-04-30 10:24:47	ga_ls7e_ard_3-0-0_101077_2015-04-30_final
2015-06-16 11:22:19	ga_ls7e_ard_3-0-0_110081_2015-06-16_final
2015-09-27 09:47:10	ga_ls7e_ard_3-0-0_095074_2015-09-27_final
2016-03-23 09:38:10	ga_ls7e_ard_3-0-0_093077_2016-03-23_final
2016-04-11 10:11:34	ga_ls7e_ard_3-0-0_098083_2016-04-11_final
2017-04-12 10:20:01	ga_ls7e_ard_3-0-0_100073_2017-04-12_final
2017-05-23 10:16:25	ga_ls7e_ard_3-0-0_099079_2017-05-23_final
2017-06-19 09:54:49	ga_ls7e_ard_3-0-0_096071_2017-06-19_final
2017-07-14 11:27:33	ga_ls7e_ard_3-0-0_111071_2017-07-14_final
2017-08-04 10:09:58	ga_ls7e_ard_3-0-0_098078_2017-08-04_final
2017-08-23 10:42:27	ga_ls7e_ard_3-0-0_103082_2017-08-23_final
2018-05-19 10:09:30	ga_ls7e_ard_3-0-0_098083_2018-05-19_final
2018-06-11 10:10:07	ga_ls7e_ard_3-0-0_099070_2018-06-11_final
2018-11-27 10:03:33	ga_ls7e_ard_3-0-0_098078_2018-11-27_final
2019-04-17 11:05:08	ga_ls7e_ard_3-0-0_109073_2019-04-17_final
2019-05-25 10:29:48	ga_ls7e_ard_3-0-0_103081_2019-05-25_final
2019-10-20 09:54:20	ga_ls7e_ard_3-1-0_099069_2019-10-20_final
2019-12-18 09:35:00	ga_ls7e_ard_3-1-0_096074_2019-12-18_final
2020-01-16 09:08:13	ga_ls7e_ard_3-1-0_091088_2020-01-15_final
2020-04-09 10:12:19	ga_ls7e_ard_3-1-0_103074_2020-04-09_final
2020-06-04 10:57:36	ga_ls7e_ard_3-1-0_111072_2020-06-04_final
2020-07-18 09:43:37	ga_ls7e_ard_3-1-0_099079_2020-07-18_final
2020-10-15 09:31:43	ga_ls7e_ard_3-1-0_098079_2020-10-15_final
2021-05-25 09:27:15	ga_ls7e_ard_3-2-0_100079_2021-05-24_final
2021-06-19 09:18:36	ga_ls7e_ard_3-2-0_099078_2021-06-18_final
2021-07-18 08:40:52	ga_ls7e_ard_3-2-0_094067_2021-07-17_final
2021-11-05 08:45:04	ga_ls7e_ard_3-2-0_096071_2021-11-04_final
2021-11-26 09:04:46	ga_ls7e_ard_3-2-1_099079_2021-11-25_final
2022-01-26 08:27:35	ga_ls7e_ard_3-2-1_094078_2022-01-25_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