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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
1999-07-16 10:12:30	ga_ls7e_ard_3-0-0_100078_1999-07-16_final
2000-11-07 10:07:13	ga_ls7e_ard_3-0-0_100071_2000-11-07_final
2000-11-24 10:52:05	ga_ls7e_ard_3-0-0_107075_2000-11-24_final
2001-10-29 11:17:46	ga_ls7e_ard_3-0-0_112067_2001-10-29_final
2002-03-10 10:56:28	ga_ls7e_ard_3-0-0_108074_2002-03-10_final
2002-07-18 10:43:55	ga_ls7e_ard_3-1-0_106075_2002-07-18_final
2002-09-04 10:43:34	ga_ls7e_ard_3-1-0_106075_2002-09-04_final
2002-12-19 11:17:45	ga_ls7e_ard_3-0-0_112067_2002-12-19_final
2003-02-11 10:44:15	ga_ls7e_ard_3-1-0_106075_2003-02-11_final
2003-08-04 10:55:57	ga_ls7e_ard_3-0-0_108074_2003-08-04_final
2003-11-04 11:20:39	ga_ls7e_ard_3-0-0_112074_2003-11-04_final
2004-02-14 10:44:42	ga_ls7e_ard_3-1-0_106075_2004-02-14_final
2004-03-23 10:06:11	ga_ls7e_ard_3-0-0_100071_2004-03-23_final
2004-05-11 10:50:57	ga_ls7e_ard_3-0-0_107075_2004-05-11_final
2004-06-05 10:45:05	ga_ls7e_ard_3-0-0_106076_2004-06-05_final
2004-09-23 10:56:09	ga_ls7e_ard_3-0-0_108074_2004-09-23_final
2004-10-26 10:02:18	ga_ls7e_ard_3-0-0_099078_2004-10-26_final
2004-11-10 10:56:28	ga_ls7e_ard_3-0-0_108074_2004-11-10_final
2004-11-19 10:53:32	ga_ls7e_ard_3-0-0_107082_2004-11-19_final
2004-12-28 10:55:16	ga_ls7e_ard_3-0-0_108070_2004-12-28_final
2005-02-09 10:38:57	ga_ls7e_ard_3-0-0_105075_2005-02-09_final
2005-06-16 09:56:47	ga_ls7e_ard_3-0-0_098078_2005-06-16_final
2006-05-24 09:23:55	ga_ls7e_ard_3-1-0_092087_2006-05-23_final
2006-09-14 10:02:40	ga_ls7e_ard_3-0-0_099077_2006-09-14_final
2006-10-24 10:51:23	ga_ls7e_ard_3-0-0_107075_2006-10-24_final
2006-12-20 09:12:05	ga_ls7e_ard_3-0-0_090088_2006-12-19_final
2007-06-23 10:40:03	ga_ls7e_ard_3-0-0_105076_2007-06-23_final
2008-02-05 09:31:20	ga_ls7e_ard_3-0-0_094074_2008-02-05_final
2008-05-27 11:08:13	ga_ls7e_ard_3-0-0_110070_2008-05-27_final
2008-08-29 11:18:32	ga_ls7e_ard_3-0-0_112067_2008-08-29_final
2008-10-19 10:13:01	ga_ls7e_ard_3-0-0_101074_2008-10-19_final
2008-11-22 11:42:03	ga_ls7e_ard_3-0-0_115079_2008-11-22_final
2008-12-01 09:52:18	ga_ls7e_ard_3-0-0_098067_2008-12-01_final
2009-11-04 11:19:56	ga_ls7e_ard_3-0-0_112067_2009-11-04_final
2009-12-08 11:09:10	ga_ls7e_ard_3-0-0_110070_2009-12-08_final
2010-10-11 10:03:03	ga_ls7e_ard_3-0-0_099071_2010-10-11_final
2010-10-21 10:39:03	ga_ls7e_ard_3-0-0_105068_2010-10-21_final
2010-11-29 10:45:40	ga_ls7e_ard_3-0-0_106068_2010-11-29_final
2011-09-07 11:22:48	ga_ls7e_ard_3-0-0_112067_2011-09-07_final
2011-10-21 10:12:38	ga_ls7e_ard_3-0-0_100077_2011-10-21_final
2011-11-29 10:19:11	ga_ls7e_ard_3-0-0_101077_2011-11-29_final
2011-12-24 10:13:14	ga_ls7e_ard_3-0-0_100077_2011-12-24_final
2012-02-29 09:06:14	ga_ls7e_ard_3-0-0_089079_2012-02-28_final
2012-03-19 09:32:21	ga_ls7e_ard_3-1-0_094067_2012-03-19_final
2013-12-04 10:19:25	ga_ls7e_ard_3-0-0_101071_2013-12-04_final
2014-04-29 10:07:08	ga_ls7e_ard_3-0-0_099069_2014-04-29_final
2014-05-10 11:26:44	ga_ls7e_ard_3-0-0_112067_2014-05-10_final
2014-08-16 11:15:57	ga_ls7e_ard_3-0-0_110070_2014-08-16_final
2014-09-01 11:15:57	ga_ls7e_ard_3-0-0_110070_2014-09-01_final
2014-12-02 10:01:19	ga_ls7e_ard_3-0-0_098067_2014-12-02_final
2016-01-14 10:54:24	ga_ls7e_ard_3-0-0_106068_2016-01-14_final
2016-03-30 11:20:28	ga_ls7e_ard_3-0-0_110070_2016-03-30_final
2017-02-21 10:35:16	ga_ls7e_ard_3-0-0_102081_2017-02-21_final
2017-04-28 10:22:07	ga_ls7e_ard_3-0-0_100078_2017-04-28_final
2017-07-01 10:22:21	ga_ls7e_ard_3-0-0_100078_2017-07-01_final
2017-08-27 10:15:44	ga_ls7e_ard_3-0-0_099077_2017-08-27_final
2017-09-23 11:32:03	ga_ls7e_ard_3-0-0_112067_2017-09-23_final
2018-02-03 10:12:47	ga_ls7e_ard_3-0-0_099072_2018-02-03_final
2019-06-04 11:04:08	ga_ls7e_ard_3-0-0_109075_2019-06-04_final
2019-06-13 10:57:38	ga_ls7e_ard_3-1-0_108075_2019-06-13_final
2020-02-16 09:55:53	ga_ls7e_ard_3-1-0_100072_2020-02-16_final
2020-08-04 10:24:37	ga_ls7e_ard_3-1-0_106076_2020-08-04_final
2020-11-06 08:56:46	ga_ls7e_ard_3-1-0_092088_2020-11-05_final
2021-02-05 08:28:54	ga_ls7e_ard_3-2-0_089081_2021-02-04_final
2021-08-27 09:29:12	ga_ls7e_ard_3-2-0_102073_2021-08-26_final
2022-02-01 09:24:48	ga_ls7e_ard_3-2-1_104068_2022-01-31_final
2022-03-02 08:54:37	ga_ls7e_ard_3-2-1_099077_2022-03-01_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