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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
2000-02-20 09:51:49	ga_ls7e_ard_3-0-0_097073_2000-02-20_final
2000-07-10 09:22:11	ga_ls7e_ard_3-0-0_092079_2000-07-09_final
2001-01-04 10:46:23	ga_ls7e_ard_3-0-0_106076_2001-01-04_final
2002-07-27 10:39:39	ga_ls7e_ard_3-1-0_105080_2002-07-27_final
2002-09-13 10:37:17	ga_ls7e_ard_3-0-0_105075_2002-09-13_final
2003-07-24 09:40:54	ga_ls7e_ard_3-0-0_095087_2003-07-24_final
2003-08-29 10:51:43	ga_ls7e_ard_3-0-0_107079_2003-08-29_final
2003-11-10 10:44:29	ga_ls7e_ard_3-0-0_106076_2003-11-10_final
2003-12-12 09:09:27	ga_ls7e_ard_3-0-0_090085_2003-12-11_final
2004-02-21 10:50:52	ga_ls7e_ard_3-0-0_107075_2004-02-21_final
2004-03-07 10:06:06	ga_ls7e_ard_3-0-0_100071_2004-03-07_final
2004-03-15 10:56:48	ga_ls7e_ard_3-0-0_108074_2004-03-15_final
2004-08-31 09:12:01	ga_ls7e_ard_3-0-0_091076_2004-08-30_final
2004-09-02 10:38:08	ga_ls7e_ard_3-0-0_105075_2004-09-02_final
2004-10-27 10:41:35	ga_ls7e_ard_3-0-0_106068_2004-10-27_final
2005-05-19 11:09:31	ga_ls7e_ard_3-0-0_110074_2005-05-19_final
2006-05-19 10:37:29	ga_ls7e_ard_3-0-0_105070_2006-05-19_final
2006-05-21 10:29:30	ga_ls7e_ard_3-0-0_103081_2006-05-21_final
2006-07-16 09:34:11	ga_ls7e_ard_3-0-0_095067_2006-07-16_final
2006-08-26 11:12:20	ga_ls7e_ard_3-0-0_110081_2006-08-26_final
2006-09-06 10:50:57	ga_ls7e_ard_3-0-0_107074_2006-09-06_final
2008-03-29 09:54:06	ga_ls7e_ard_3-0-0_097085_2008-03-29_final
2008-03-31 11:16:14	ga_ls7e_ard_3-0-0_111074_2008-03-31_final
2008-04-03 10:09:27	ga_ls7e_ard_3-0-0_100077_2008-04-03_final
2009-01-18 09:57:27	ga_ls7e_ard_3-0-0_098079_2009-01-18_final
2009-09-07 09:12:03	ga_ls7e_ard_3-0-0_090088_2009-09-06_final
2009-10-11 10:35:17	ga_ls7e_ard_3-0-0_104080_2009-10-11_final
2010-03-06 10:20:32	ga_ls7e_ard_3-0-0_102069_2010-03-06_final
2010-03-14 09:33:09	ga_ls7e_ard_3-0-0_094074_2010-03-14_final
2010-04-18 10:04:32	ga_ls7e_ard_3-0-0_099075_2010-04-18_final
2010-12-19 10:24:42	ga_ls7e_ard_3-0-0_102077_2010-12-19_final
2011-01-04 10:22:28	ga_ls7e_ard_3-0-0_102071_2011-01-04_final
2011-05-22 11:04:43	ga_ls7e_ard_3-0-0_108083_2011-05-22_final
2011-06-05 11:11:55	ga_ls7e_ard_3-0-0_110070_2011-06-05_final
2011-11-03 09:37:47	ga_ls7e_ard_3-0-0_095067_2011-11-03_final
2011-11-07 10:58:49	ga_ls7e_ard_3-0-0_107084_2011-11-07_final
2012-01-11 10:03:22	ga_ls7e_ard_3-0-0_098083_2012-01-11_final
2013-08-28 10:34:51	ga_ls7e_ard_3-0-0_103081_2013-08-28_final
2013-10-05 11:34:19	ga_ls7e_ard_3-0-0_113074_2013-10-05_final
2013-12-18 10:35:45	ga_ls7e_ard_3-0-0_103081_2013-12-18_final
2014-05-06 10:18:55	ga_ls7e_ard_3-0-0_100083_2014-05-06_final
2014-05-14 09:26:22	ga_ls7e_ard_3-0-0_092075_2014-05-13_final
2014-06-29 09:43:42	ga_ls7e_ard_3-0-0_094087_2014-06-29_final
2015-03-03 11:22:10	ga_ls7e_ard_3-0-0_111067_2015-03-03_final
2015-04-13 11:21:54	ga_ls7e_ard_3-0-0_110081_2015-04-13_final
2015-05-21 10:45:28	ga_ls7e_ard_3-0-0_104082_2015-05-21_final
2016-04-30 10:37:01	ga_ls7e_ard_3-0-0_103069_2016-04-30_final
2016-07-02 11:35:38	ga_ls7e_ard_3-0-0_112076_2016-07-02_final
2016-11-22 10:51:56	ga_ls7e_ard_3-0-0_105075_2016-11-22_final
2016-12-21 10:19:18	ga_ls7e_ard_3-0-0_100071_2016-12-21_final
2016-12-31 10:55:54	ga_ls7e_ard_3-0-0_106070_2016-12-31_final
2017-01-08 11:47:15	ga_ls7e_ard_3-0-0_114075_2017-01-08_final
2017-02-17 10:54:46	ga_ls7e_ard_3-0-0_106068_2017-02-17_final
2017-07-09 09:36:31	ga_ls7e_ard_3-0-0_092087_2017-07-09_final
2017-10-18 11:32:19	ga_ls7e_ard_3-0-0_111083_2017-10-18_final
2018-12-13 10:00:20	ga_ls7e_ard_3-0-0_098071_2018-12-13_final
2019-01-04 11:03:05	ga_ls7e_ard_3-0-0_108075_2019-01-04_final
2019-01-15 09:06:31	ga_ls7e_ard_3-0-0_089078_2019-01-14_final
2019-06-20 11:03:09	ga_ls7e_ard_3-0-0_109074_2019-06-20_final
2019-07-31 09:21:17	ga_ls7e_ard_3-0-0_092086_2019-07-30_final
2020-01-12 09:24:45	ga_ls7e_ard_3-1-0_095067_2020-01-11_final
2020-11-04 10:46:33	ga_ls7e_ard_3-1-0_110084_2020-11-04_final
2021-01-26 09:31:50	ga_ls7e_ard_3-2-0_099082_2021-01-26_final
2021-02-01 10:33:59	ga_ls7e_ard_3-2-0_109084_2021-02-01_final
2021-02-06 10:48:10	ga_ls7e_ard_3-2-0_112074_2021-02-06_final
2021-03-06 09:35:28	ga_ls7e_ard_3-2-0_100083_2021-03-06_final
2021-11-16 10:05:56	ga_ls7e_ard_3-2-1_109075_2021-11-16_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