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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

60 results

Time (local)	Label
1999-09-27 10:06:07	ga_ls7e_ard_3-0-0_099077_1999-09-27_final
2000-03-21 11:44:37	ga_ls7e_ard_3-0-0_115077_2000-03-21_final
2000-04-07 09:14:19	ga_ls7e_ard_3-0-0_090088_2000-04-06_final
2003-10-23 09:22:10	ga_ls7e_ard_3-0-0_092087_2003-10-22_final
2004-06-19 09:22:28	ga_ls7e_ard_3-0-0_092086_2004-06-18_final
2004-07-21 09:23:35	ga_ls7e_ard_3-0-0_092089_2004-07-20_final
2004-07-23 10:44:54	ga_ls7e_ard_3-0-0_106076_2004-07-23_final
2004-09-08 10:02:12	ga_ls7e_ard_3-0-0_099078_2004-09-08_final
2005-06-01 09:05:40	ga_ls7e_ard_3-0-0_089089_2005-05-31_final
2005-06-06 10:59:51	ga_ls7e_ard_3-0-0_108081_2005-06-06_final
2005-08-27 10:45:14	ga_ls7e_ard_3-0-0_106076_2005-08-27_final
2005-08-30 09:40:25	ga_ls7e_ard_3-0-0_095084_2005-08-30_final
2005-11-24 10:36:10	ga_ls7e_ard_3-0-0_105068_2005-11-24_final
2005-12-16 10:00:21	ga_ls7e_ard_3-0-0_099071_2005-12-16_final
2006-04-09 09:48:00	ga_ls7e_ard_3-0-0_097070_2006-04-09_final
2006-06-15 10:23:15	ga_ls7e_ard_3-0-0_102081_2006-06-15_final
2006-10-09 09:56:42	ga_ls7e_ard_3-0-0_098078_2006-10-09_final
2007-01-10 11:02:21	ga_ls7e_ard_3-0-0_109070_2007-01-10_final
2007-07-16 09:12:05	ga_ls7e_ard_3-0-0_090088_2007-07-15_final
2007-08-22 09:30:01	ga_ls7e_ard_3-1-0_093087_2007-08-22_final
2007-09-01 10:03:50	ga_ls7e_ard_3-0-0_099079_2007-09-01_final
2007-12-09 08:56:37	ga_ls7e_ard_3-0-0_088080_2007-12-08_final
2008-05-31 09:12:34	ga_ls7e_ard_3-0-0_090090_2008-05-30_final
2008-06-23 09:15:44	ga_ls7e_ard_3-0-0_091083_2008-06-22_final
2008-07-07 11:03:13	ga_ls7e_ard_3-0-0_109074_2008-07-07_final
2009-03-16 09:53:43	ga_ls7e_ard_3-0-0_097084_2009-03-16_final
2009-04-30 09:24:39	ga_ls7e_ard_3-0-0_092088_2009-04-29_final
2009-05-10 09:59:46	ga_ls7e_ard_3-0-0_098083_2009-05-10_final
2009-08-17 10:24:25	ga_ls7e_ard_3-0-0_103068_2009-08-17_final
2010-03-05 11:17:45	ga_ls7e_ard_3-0-0_111073_2010-03-05_final
2010-04-24 09:30:14	ga_ls7e_ard_3-0-0_093082_2010-04-24_final
2010-05-14 10:41:56	ga_ls7e_ard_3-0-0_105076_2010-05-14_final
2010-07-23 10:02:33	ga_ls7e_ard_3-0-0_099070_2010-07-23_final
2010-10-11 10:02:16	ga_ls7e_ard_3-0-0_099069_2010-10-11_final
2010-10-29 09:54:04	ga_ls7e_ard_3-0-0_097079_2010-10-29_final
2011-02-11 09:46:01	ga_ls7e_ard_3-0-0_096072_2011-02-11_final
2011-02-15 11:04:34	ga_ls7e_ard_3-0-0_108083_2011-02-15_final
2011-10-22 09:19:49	ga_ls7e_ard_3-0-0_091084_2011-10-21_final
2012-02-09 09:26:09	ga_ls7e_ard_3-0-0_093067_2012-02-08_final
2012-02-22 09:00:28	ga_ls7e_ard_3-0-0_088080_2012-02-21_final
2012-04-25 11:35:32	ga_ls7e_ard_3-0-0_113081_2012-04-25_final
2013-07-19 11:25:02	ga_ls7e_ard_3-0-0_111083_2013-07-19_final
2014-05-31 10:11:18	ga_ls7e_ard_3-0-0_099079_2014-05-31_final
2014-08-21 11:39:40	ga_ls7e_ard_3-0-0_113083_2014-08-21_final
2015-05-18 10:10:11	ga_ls7e_ard_3-0-0_099071_2015-05-18_final
2015-07-04 11:05:37	ga_ls7e_ard_3-0-0_108070_2015-07-04_final
2016-04-09 10:21:30	ga_ls7e_ard_3-0-0_100077_2016-04-09_final
2016-09-19 10:49:20	ga_ls7e_ard_3-0-0_105068_2016-09-19_final
2016-10-21 09:15:38	ga_ls7e_ard_3-1-0_089081_2016-10-20_final
2017-02-16 11:54:22	ga_ls7e_ard_3-0-0_115078_2017-02-16_final
2018-01-02 10:12:29	ga_ls7e_ard_3-0-0_099070_2018-01-02_final
2018-01-07 10:30:33	ga_ls7e_ard_3-0-0_102069_2018-01-07_final
2018-04-11 10:46:50	ga_ls7e_ard_3-0-0_104082_2018-04-11_final
2019-08-09 09:15:32	ga_ls7e_ard_3-0-0_091088_2019-08-08_final
2020-03-04 10:39:02	ga_ls7e_ard_3-1-0_107074_2020-03-04_final
2020-06-20 09:17:47	ga_ls7e_ard_3-1-0_095072_2020-06-19_final
2020-06-27 09:28:20	ga_ls7e_ard_3-1-0_096084_2020-06-26_final
2020-08-25 09:07:20	ga_ls7e_ard_3-1-0_093087_2020-08-24_final
2021-07-06 08:25:57	ga_ls7e_ard_3-2-0_090089_2021-07-05_final
2021-11-04 09:42:47	ga_ls7e_ard_3-2-0_105076_2021-11-04_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

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