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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
2000-08-03 10:12:03	ga_ls7e_ard_3-0-0_100081_2000-08-03_final
2000-08-26 10:18:50	ga_ls7e_ard_3-0-0_101083_2000-08-26_final
2001-11-28 09:53:54	ga_ls7e_ard_3-0-0_098073_2001-11-28_final
2003-05-16 10:57:03	ga_ls7e_ard_3-0-0_108076_2003-05-16_final
2003-11-10 09:06:23	ga_ls7e_ard_3-0-0_090078_2003-11-09_final
2004-12-28 09:23:58	ga_ls7e_ard_3-0-0_092089_2004-12-27_final
2005-01-17 10:35:25	ga_ls7e_ard_3-0-0_104082_2005-01-17_final
2005-04-11 10:06:30	ga_ls7e_ard_3-0-0_100071_2005-04-11_final
2005-09-29 11:30:42	ga_ls7e_ard_3-0-0_113082_2005-09-29_final
2005-11-29 10:59:55	ga_ls7e_ard_3-0-0_108081_2005-11-29_final
2006-02-12 09:06:33	ga_ls7e_ard_3-0-0_089090_2006-02-11_final
2006-04-01 10:39:52	ga_ls7e_ard_3-0-0_105076_2006-04-01_final
2007-04-02 10:55:05	ga_ls7e_ard_3-0-0_107082_2007-04-02_final
2007-05-12 10:04:18	ga_ls7e_ard_3-0-0_099079_2007-05-12_final
2007-08-31 10:55:52	ga_ls7e_ard_3-0-0_108070_2007-08-31_final
2008-02-20 10:25:18	ga_ls7e_ard_3-0-0_103070_2008-02-20_final
2008-05-18 11:16:04	ga_ls7e_ard_3-0-0_111074_2008-05-18_final
2008-11-17 11:18:39	ga_ls7e_ard_3-0-0_112067_2008-11-17_final
2009-01-03 10:39:26	ga_ls7e_ard_3-0-0_105076_2009-01-03_final
2009-04-24 09:54:55	ga_ls7e_ard_3-0-0_098071_2009-04-24_final
2009-05-05 09:36:49	ga_ls7e_ard_3-0-0_095072_2009-05-05_final
2009-07-29 09:59:35	ga_ls7e_ard_3-0-0_098083_2009-07-29_final
2009-10-09 09:10:43	ga_ls7e_ard_3-1-0_090085_2009-10-08_final
2009-10-13 10:23:21	ga_ls7e_ard_3-0-0_102081_2009-10-13_final
2009-10-28 11:15:38	ga_ls7e_ard_3-0-0_111072_2009-10-28_final
2009-11-19 09:02:23	ga_ls7e_ard_3-0-0_089078_2009-11-18_final
2010-11-16 11:22:49	ga_ls7e_ard_3-0-0_111084_2010-11-16_final
2010-12-24 09:08:00	ga_ls7e_ard_3-0-0_089086_2010-12-23_final
2011-04-28 10:10:31	ga_ls7e_ard_3-0-0_100071_2011-04-28_final
2011-09-16 09:39:41	ga_ls7e_ard_3-0-0_095072_2011-09-16_final
2011-12-07 11:07:54	ga_ls7e_ard_3-0-0_109075_2011-12-07_final
2011-12-09 10:53:56	ga_ls7e_ard_3-0-0_107071_2011-12-09_final
2012-05-10 09:16:56	ga_ls7e_ard_3-0-0_090089_2012-05-09_final
2012-08-04 10:16:17	ga_ls7e_ard_3-0-0_100082_2012-08-04_final
2013-02-27 09:28:11	ga_ls7e_ard_3-0-0_093067_2013-02-26_final
2013-04-25 11:01:51	ga_ls7e_ard_3-0-0_108070_2013-04-25_final
2013-05-23 09:54:01	ga_ls7e_ard_3-1-0_096086_2013-05-23_final
2014-01-24 10:53:56	ga_ls7e_ard_3-0-0_106079_2014-01-24_final
2014-03-05 10:04:07	ga_ls7e_ard_3-0-0_098078_2014-03-05_final
2014-03-28 10:08:04	ga_ls7e_ard_3-0-0_099072_2014-03-28_final
2014-05-22 10:17:03	ga_ls7e_ard_3-0-0_100078_2014-05-22_final
2015-03-27 10:36:54	ga_ls7e_ard_3-0-0_103077_2015-03-27_final
2015-10-25 10:16:17	ga_ls7e_ard_3-0-0_099084_2015-10-25_final
2015-11-19 10:10:30	ga_ls7e_ard_3-0-0_098084_2015-11-19_final
2015-12-29 10:54:32	ga_ls7e_ard_3-0-0_106069_2015-12-29_final
2016-01-10 11:22:39	ga_ls7e_ard_3-0-0_110077_2016-01-10_final
2016-01-29 11:54:11	ga_ls7e_ard_3-0-0_115078_2016-01-29_final
2016-05-27 10:23:46	ga_ls7e_ard_3-0-0_100082_2016-05-27_final
2017-12-07 09:37:41	ga_ls7e_ard_3-0-0_093075_2017-12-07_final
2018-10-10 11:43:09	ga_ls7e_ard_3-0-0_114077_2018-10-10_final
2018-10-18 10:54:42	ga_ls7e_ard_3-0-0_106080_2018-10-18_final
2018-11-06 09:43:31	ga_ls7e_ard_3-1-0_095073_2018-11-06_final
2019-01-05 10:08:38	ga_ls7e_ard_3-0-0_099078_2019-01-05_final
2019-02-24 11:36:00	ga_ls7e_ard_3-1-0_113084_2019-02-24_final
2019-03-19 11:39:26	ga_ls7e_ard_3-1-0_114079_2019-03-19_final
2019-05-13 10:01:33	ga_ls7e_ard_3-0-0_099071_2019-05-13_final
2019-07-15 09:20:44	ga_ls7e_ard_3-0-0_092083_2019-07-14_final
2019-09-02 11:38:51	ga_ls7e_ard_3-1-0_115078_2019-09-02_final
2019-10-17 11:03:14	ga_ls7e_ard_3-1-0_110071_2019-10-17_final
2020-02-24 09:09:37	ga_ls7e_ard_3-1-0_092081_2020-02-23_final
2020-06-19 10:17:27	ga_ls7e_ard_3-1-0_104082_2020-06-19_final
2020-07-08 09:09:32	ga_ls7e_ard_3-1-0_093085_2020-07-07_final
2020-09-27 09:44:26	ga_ls7e_ard_3-1-0_100077_2020-09-27_final
2020-11-02 10:57:27	ga_ls7e_ard_3-1-0_112080_2020-11-02_final
2022-01-24 08:40:56	ga_ls7e_ard_3-2-1_096080_2022-01-23_final
2022-02-07 08:52:42	ga_ls7e_ard_3-2-1_098082_2022-02-06_final
2022-02-21 09:04:03	ga_ls7e_ard_3-2-1_100083_2022-02-20_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