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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

46 results

Time (local)	Label
2000-05-05 09:33:15	ga_ls7e_ard_3-0-0_094074_2000-05-05_final
2000-05-24 10:05:05	ga_ls7e_ard_3-0-0_099077_2000-05-24_final
2001-06-07 09:42:13	ga_ls7e_ard_3-0-0_096072_2001-06-07_final
2002-01-06 09:58:14	ga_ls7e_ard_3-0-0_099068_2002-01-06_final
2002-08-09 10:07:28	ga_ls7e_ard_3-0-0_100077_2002-08-09_final
2003-05-05 11:15:15	ga_ls7e_ard_3-0-0_111075_2003-05-05_final
2004-02-02 10:17:57	ga_ls7e_ard_3-0-0_102070_2004-02-02_final
2004-07-22 10:02:27	ga_ls7e_ard_3-0-0_099078_2004-07-22_final
2004-12-20 10:06:09	ga_ls7e_ard_3-0-0_100071_2004-12-20_final
2005-08-14 09:40:56	ga_ls7e_ard_3-0-0_095085_2005-08-14_final
2006-06-10 10:03:56	ga_ls7e_ard_3-0-0_099079_2006-06-10_final
2007-01-04 09:59:45	ga_ls7e_ard_3-0-0_099068_2007-01-04_final
2007-01-10 09:30:39	ga_ls7e_ard_3-1-0_093088_2007-01-10_final
2007-02-12 10:09:43	ga_ls7e_ard_3-0-0_100077_2007-02-12_final
2008-01-10 10:36:22	ga_ls7e_ard_3-0-0_104082_2008-01-10_final
2008-08-02 10:03:10	ga_ls7e_ard_3-0-0_099079_2008-08-02_final
2008-09-12 09:54:17	ga_ls7e_ard_3-0-0_098073_2008-09-12_final
2008-09-13 10:38:44	ga_ls7e_ard_3-0-0_105076_2008-09-13_final
2008-10-21 10:02:17	ga_ls7e_ard_3-0-0_099078_2008-10-21_final
2009-02-26 10:03:32	ga_ls7e_ard_3-0-0_099078_2009-02-26_final
2009-08-26 10:23:50	ga_ls7e_ard_3-0-0_102082_2009-08-26_final
2010-05-11 10:11:26	ga_ls7e_ard_3-0-0_100077_2010-05-11_final
2010-06-21 10:08:04	ga_ls7e_ard_3-0-0_099084_2010-06-21_final
2010-07-06 09:26:27	ga_ls7e_ard_3-0-0_092088_2010-07-05_final
2010-11-28 10:03:36	ga_ls7e_ard_3-0-0_099071_2010-11-28_final
2011-04-06 10:46:25	ga_ls7e_ard_3-0-0_106068_2011-04-06_final
2011-06-17 10:03:19	ga_ls7e_ard_3-0-0_098084_2011-06-17_final
2011-10-17 10:39:18	ga_ls7e_ard_3-0-0_104082_2011-10-17_final
2012-07-02 09:26:38	ga_ls7e_ard_3-0-0_093067_2012-07-01_final
2013-08-06 09:34:29	ga_ls7e_ard_3-0-0_093085_2013-08-06_final
2014-08-19 11:50:26	ga_ls7e_ard_3-0-0_115079_2014-08-19_final
2015-09-14 10:19:13	ga_ls7e_ard_3-0-0_100077_2015-09-14_final
2016-01-29 10:11:42	ga_ls7e_ard_3-0-0_099069_2016-01-29_final
2016-06-02 09:43:55	ga_ls7e_ard_3-0-0_094075_2016-06-02_final
2017-07-30 11:28:20	ga_ls7e_ard_3-0-0_111073_2017-07-30_final
2017-08-01 11:19:09	ga_ls7e_ard_3-1-0_109081_2017-08-01_final
2018-05-03 10:07:22	ga_ls7e_ard_3-0-0_098077_2018-05-03_final
2019-03-16 09:28:58	ga_ls7e_ard_3-1-0_093077_2019-03-15_final
2019-05-13 10:04:45	ga_ls7e_ard_3-0-0_099079_2019-05-13_final
2019-06-20 09:28:16	ga_ls7e_ard_3-0-0_093084_2019-06-19_final
2019-08-01 09:58:08	ga_ls7e_ard_3-0-0_099070_2019-08-01_final
2019-10-20 11:35:36	ga_ls7e_ard_3-1-0_115075_2019-10-20_final
2021-01-21 09:08:52	ga_ls7e_ard_3-2-0_096070_2021-01-20_final
2021-05-10 08:35:42	ga_ls7e_ard_3-2-0_091086_2021-05-09_final
2021-07-04 08:38:29	ga_ls7e_ard_3-2-0_092089_2021-07-03_final
2022-03-08 09:54:38	ga_ls7e_ard_3-2-1_109074_2022-03-08_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

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