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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
1999-07-23 10:18:17	ga_ls7e_ard_3-0-0_101077_1999-07-23_final
2000-02-26 09:19:54	ga_ls7e_ard_3-1-0_091086_2000-02-25_final
2000-03-18 09:33:37	ga_ls7e_ard_3-0-0_094074_2000-03-18_final
2000-11-16 10:04:15	ga_ls7e_ard_3-0-0_099079_2000-11-16_final
2000-12-10 10:50:08	ga_ls7e_ard_3-0-0_107070_2000-12-10_final
2000-12-14 10:24:39	ga_ls7e_ard_3-0-0_103068_2000-12-14_final
2001-06-13 09:11:53	ga_ls7e_ard_3-0-0_090089_2001-06-12_final
2001-10-26 10:48:28	ga_ls7e_ard_3-0-0_107071_2001-10-26_final
2002-02-23 09:58:49	ga_ls7e_ard_3-0-0_099069_2002-02-23_final
2003-10-19 09:46:25	ga_ls7e_ard_3-1-0_096086_2003-10-19_final
2003-11-19 09:00:45	ga_ls7e_ard_3-0-0_089079_2003-11-18_final
2003-12-11 11:41:09	ga_ls7e_ard_3-0-0_115078_2003-12-11_final
2004-02-25 10:24:08	ga_ls7e_ard_3-0-0_103070_2004-02-25_final
2004-09-01 09:56:05	ga_ls7e_ard_3-0-0_098078_2004-09-01_final
2005-01-06 09:18:15	ga_ls7e_ard_3-0-0_091090_2005-01-05_final
2005-01-24 09:01:54	ga_ls7e_ard_3-0-0_089080_2005-01-23_final
2005-06-15 09:17:55	ga_ls7e_ard_3-0-0_091089_2005-06-14_final
2005-08-03 09:57:08	ga_ls7e_ard_3-0-0_098079_2005-08-03_final
2006-05-10 09:11:57	ga_ls7e_ard_3-0-0_090088_2006-05-09_final
2007-11-24 09:36:59	ga_ls7e_ard_3-1-0_095073_2007-11-24_final
2008-01-17 09:06:28	ga_ls7e_ard_3-0-0_089089_2008-01-16_final
2008-02-29 10:19:28	ga_ls7e_ard_3-0-0_102071_2008-02-29_final
2008-04-20 09:13:23	ga_ls7e_ard_3-0-0_091076_2008-04-19_final
2008-07-28 09:46:39	ga_ls7e_ard_3-0-0_096084_2008-07-28_final
2008-12-24 10:00:17	ga_ls7e_ard_3-0-0_099071_2008-12-24_final
2009-09-07 09:12:27	ga_ls7e_ard_3-0-0_090089_2009-09-06_final
2009-12-08 11:09:10	ga_ls7e_ard_3-0-0_110070_2009-12-08_final
2010-03-10 09:55:03	ga_ls7e_ard_3-0-0_098067_2010-03-10_final
2011-03-22 09:54:43	ga_ls7e_ard_3-0-0_097078_2011-03-22_final
2011-07-18 10:58:04	ga_ls7e_ard_3-0-0_107082_2011-07-18_final
2011-12-08 10:10:41	ga_ls7e_ard_3-0-0_100071_2011-12-08_final
2012-01-24 11:07:43	ga_ls7e_ard_3-0-0_109074_2012-01-24_final
2012-06-10 11:45:58	ga_ls7e_ard_3-0-0_115076_2012-06-10_final
2013-01-19 11:03:18	ga_ls7e_ard_3-0-0_108073_2013-01-19_final
2013-02-10 10:29:28	ga_ls7e_ard_3-0-0_102081_2013-02-10_final
2013-03-09 10:05:40	ga_ls7e_ard_3-0-0_099068_2013-03-09_final
2013-06-29 10:09:04	ga_ls7e_ard_3-0-0_099078_2013-06-29_final
2014-07-31 09:43:27	ga_ls7e_ard_3-0-0_094086_2014-07-31_final
2014-09-24 09:44:09	ga_ls7e_ard_3-0-0_095072_2014-09-24_final
2014-11-16 10:05:59	ga_ls7e_ard_3-0-0_098079_2014-11-16_final
2014-11-27 09:42:44	ga_ls7e_ard_3-0-0_095067_2014-11-27_final
2014-12-15 11:12:36	ga_ls7e_ard_3-0-0_109075_2014-12-15_final
2015-03-25 09:15:09	ga_ls7e_ard_3-0-0_089089_2015-03-24_final
2016-01-13 11:54:24	ga_ls7e_ard_3-0-0_115079_2016-01-13_final
2016-01-29 10:14:54	ga_ls7e_ard_3-0-0_099077_2016-01-29_final
2016-10-14 10:48:46	ga_ls7e_ard_3-0-0_104082_2016-10-14_final
2016-12-15 10:55:14	ga_ls7e_ard_3-0-0_106068_2016-12-15_final
2017-04-05 10:12:35	ga_ls7e_ard_3-0-0_099070_2017-04-05_final
2017-06-27 10:47:04	ga_ls7e_ard_3-0-0_104078_2017-06-27_final
2018-01-03 09:24:50	ga_ls7e_ard_3-0-0_090090_2018-01-02_final
2018-02-07 11:26:53	ga_ls7e_ard_3-0-0_111072_2018-02-07_final
2018-04-15 10:22:02	ga_ls7e_ard_3-0-0_100082_2018-04-15_final
2018-07-06 11:41:08	ga_ls7e_ard_3-0-0_114067_2018-07-06_final
2018-10-18 09:15:01	ga_ls7e_ard_3-0-0_090078_2018-10-17_final
2018-12-11 10:13:09	ga_ls7e_ard_3-0-0_100072_2018-12-11_final
2019-08-25 09:15:40	ga_ls7e_ard_3-1-0_091090_2019-08-24_final
2019-12-27 09:27:34	ga_ls7e_ard_3-1-0_095072_2019-12-26_final
2020-05-15 09:44:39	ga_ls7e_ard_3-1-0_099072_2020-05-15_final
2020-08-21 09:29:07	ga_ls7e_ard_3-1-0_097079_2020-08-20_final
2020-08-28 09:34:27	ga_ls7e_ard_3-1-0_098078_2020-08-28_final
2020-10-06 09:37:41	ga_ls7e_ard_3-1-0_099077_2020-10-06_final
2021-02-05 08:27:42	ga_ls7e_ard_3-2-0_089078_2021-02-04_final
2021-03-26 09:09:33	ga_ls7e_ard_3-2-0_096084_2021-03-25_final
2021-07-04 10:10:11	ga_ls7e_ard_3-2-0_108071_2021-07-04_final
2021-07-15 09:54:42	ga_ls7e_ard_3-2-0_105081_2021-07-15_final
2022-02-02 10:08:22	ga_ls7e_ard_3-2-1_111069_2022-02-02_final
2022-03-22 10:04:00	ga_ls7e_ard_3-2-1_111070_2022-03-22_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

All years