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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

83 results

Time (local)	Label
2000-10-07 10:52:33	ga_ls7e_ard_3-0-0_107076_2000-10-07_final
2000-11-08 10:52:04	ga_ls7e_ard_3-0-0_107075_2000-11-08_final
2001-04-10 10:46:04	ga_ls7e_ard_3-0-0_106076_2001-04-10_final
2001-06-16 11:19:14	ga_ls7e_ard_3-0-0_111083_2001-06-16_final
2001-12-31 10:37:59	ga_ls7e_ard_3-0-0_105075_2001-12-31_final
2002-06-08 11:33:36	ga_ls7e_ard_3-0-0_114075_2002-06-08_final
2002-06-24 09:55:47	ga_ls7e_ard_3-0-0_098078_2002-06-24_final
2002-08-02 09:58:56	ga_ls7e_ard_3-0-0_099071_2002-08-02_final
2002-09-20 10:43:45	ga_ls7e_ard_3-0-0_106076_2002-09-20_final
2002-12-16 10:50:01	ga_ls7e_ard_3-0-0_107075_2002-12-16_final
2003-04-07 10:50:07	ga_ls7e_ard_3-0-0_107074_2003-04-07_final
2003-05-17 11:41:30	ga_ls7e_ard_3-1-0_115079_2003-05-17_final
2003-10-25 09:10:39	ga_ls7e_ard_3-1-0_090089_2003-10-24_final
2004-01-20 09:13:52	ga_ls7e_ard_3-0-0_091080_2004-01-19_final
2004-01-27 10:56:36	ga_ls7e_ard_3-0-0_108074_2004-01-27_final
2004-05-03 11:40:47	ga_ls7e_ard_3-0-0_115076_2004-05-03_final
2004-07-24 09:52:28	ga_ls7e_ard_3-0-0_097084_2004-07-24_final
2004-08-04 11:09:30	ga_ls7e_ard_3-0-0_110076_2004-08-04_final
2004-12-31 09:52:54	ga_ls7e_ard_3-0-0_097084_2004-12-31_final
2005-05-02 10:23:50	ga_ls7e_ard_3-0-0_103068_2005-05-02_final
2005-05-06 11:41:37	ga_ls7e_ard_3-1-0_115077_2005-05-06_final
2005-05-21 10:55:09	ga_ls7e_ard_3-0-0_108069_2005-05-21_final
2005-07-03 10:39:12	ga_ls7e_ard_3-0-0_105076_2005-07-03_final
2005-11-13 10:55:01	ga_ls7e_ard_3-0-0_108069_2005-11-13_final
2006-02-08 11:04:57	ga_ls7e_ard_3-0-0_109077_2006-02-08_final
2006-09-26 10:25:42	ga_ls7e_ard_3-0-0_103073_2006-09-26_final
2006-12-31 10:30:03	ga_ls7e_ard_3-0-0_103082_2006-12-31_final
2007-04-09 10:56:04	ga_ls7e_ard_3-0-0_108069_2007-04-09_final
2007-05-20 09:17:12	ga_ls7e_ard_3-0-0_091085_2007-05-19_final
2007-06-06 09:54:00	ga_ls7e_ard_3-0-0_098069_2007-06-06_final
2007-08-16 11:42:02	ga_ls7e_ard_3-1-0_115077_2007-08-16_final
2007-11-12 09:18:57	ga_ls7e_ard_3-0-0_091090_2007-11-11_final
2008-08-28 10:38:52	ga_ls7e_ard_3-0-0_105076_2008-08-28_final
2009-05-26 09:57:47	ga_ls7e_ard_3-0-0_098078_2009-05-26_final
2009-07-17 11:13:49	ga_ls7e_ard_3-0-0_110083_2009-07-17_final
2009-12-03 09:19:17	ga_ls7e_ard_3-0-0_091089_2009-12-02_final
2010-01-05 09:57:06	ga_ls7e_ard_3-0-0_098074_2010-01-05_final
2010-03-03 09:54:00	ga_ls7e_ard_3-0-0_097080_2010-03-03_final
2010-05-08 09:38:34	ga_ls7e_ard_3-0-0_095072_2010-05-08_final
2010-06-04 09:25:35	ga_ls7e_ard_3-0-0_092086_2010-06-03_final
2010-10-19 10:52:35	ga_ls7e_ard_3-0-0_107071_2010-10-19_final
2011-02-26 09:04:49	ga_ls7e_ard_3-0-0_089077_2011-02-25_final
2011-04-06 09:11:07	ga_ls7e_ard_3-0-0_090077_2011-04-05_final
2011-04-21 10:06:43	ga_ls7e_ard_3-0-0_099077_2011-04-21_final
2011-06-05 11:16:42	ga_ls7e_ard_3-0-0_110082_2011-06-05_final
2011-07-03 09:56:28	ga_ls7e_ard_3-0-0_098067_2011-07-03_final
2011-10-27 11:15:40	ga_ls7e_ard_3-0-0_110080_2011-10-27_final
2012-02-28 09:58:16	ga_ls7e_ard_3-0-0_098070_2012-02-28_final
2012-03-13 10:13:00	ga_ls7e_ard_3-0-0_100076_2012-03-13_final
2012-04-01 09:10:13	ga_ls7e_ard_3-1-0_089089_2012-03-31_final
2012-05-24 09:28:51	ga_ls7e_ard_3-0-0_092088_2012-05-23_final
2012-07-20 09:20:07	ga_ls7e_ard_3-0-0_091081_2012-07-19_final
2013-05-14 09:59:49	ga_ls7e_ard_3-0-0_097085_2013-05-14_final
2013-08-20 09:47:44	ga_ls7e_ard_3-0-0_095087_2013-08-20_final
2013-11-21 10:49:23	ga_ls7e_ard_3-0-0_106069_2013-11-21_final
2014-04-19 09:32:22	ga_ls7e_ard_3-0-0_093075_2014-04-19_final
2015-02-17 09:33:57	ga_ls7e_ard_3-0-0_093075_2015-02-17_final
2015-04-16 10:12:20	ga_ls7e_ard_3-0-0_099077_2015-04-16_final
2015-06-12 10:04:33	ga_ls7e_ard_3-0-0_098072_2015-06-12_final
2015-08-21 11:07:47	ga_ls7e_ard_3-1-0_108075_2015-08-21_final
2016-01-02 10:34:41	ga_ls7e_ard_3-0-0_102081_2016-01-02_final
2016-05-05 09:25:04	ga_ls7e_ard_3-0-0_090090_2016-05-04_final
2016-05-28 09:31:20	ga_ls7e_ard_3-0-0_091090_2016-05-28_final
2016-07-16 10:09:06	ga_ls7e_ard_3-0-0_098076_2016-07-16_final
2016-12-02 09:52:30	ga_ls7e_ard_3-0-0_095081_2016-12-02_final
2017-01-28 11:22:43	ga_ls7e_ard_3-0-0_110076_2017-01-28_final
2017-03-14 10:51:34	ga_ls7e_ard_3-0-0_105075_2017-03-14_final
2018-02-06 10:44:02	ga_ls7e_ard_3-0-0_104073_2018-02-06_final
2018-08-11 09:43:16	ga_ls7e_ard_3-1-0_094083_2018-08-11_final
2018-10-11 10:45:30	ga_ls7e_ard_3-0-0_105072_2018-10-11_final
2018-10-20 10:38:19	ga_ls7e_ard_3-1-0_104070_2018-10-20_final
2019-01-04 11:02:41	ga_ls7e_ard_3-0-0_108074_2019-01-04_final
2019-01-25 09:46:27	ga_ls7e_ard_3-0-0_095086_2019-01-25_final
2019-03-02 10:53:08	ga_ls7e_ard_3-1-0_107070_2019-03-02_final
2019-03-25 09:26:52	ga_ls7e_ard_3-1-0_092088_2019-03-24_final
2019-05-02 10:21:19	ga_ls7e_ard_3-0-0_102073_2019-05-02_final
2019-05-22 10:00:12	ga_ls7e_ard_3-0-0_098084_2019-05-22_final
2021-03-07 08:41:46	ga_ls7e_ard_3-2-0_091088_2021-03-06_final
2021-06-30 10:39:37	ga_ls7e_ard_3-2-0_112082_2021-06-30_final
2021-08-06 09:10:54	ga_ls7e_ard_3-2-0_099069_2021-08-05_final
2022-01-20 09:06:27	ga_ls7e_ard_3-2-1_100081_2022-01-19_final
2022-02-07 08:48:19	ga_ls7e_ard_3-2-1_098071_2022-02-06_final
2022-03-22 10:08:47	ga_ls7e_ard_3-2-1_111082_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years