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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

73 results

Time (local)	Label
2000-03-22 10:45:24	ga_ls7e_ard_3-0-0_106068_2000-03-22_final
2000-11-23 10:11:59	ga_ls7e_ard_3-0-0_100083_2000-11-23_final
2001-05-27 10:00:08	ga_ls7e_ard_3-0-0_099070_2001-05-27_final
2001-10-18 09:59:00	ga_ls7e_ard_3-0-0_099071_2001-10-18_final
2002-04-03 10:08:50	ga_ls7e_ard_3-0-0_100079_2002-04-03_final
2002-08-31 11:11:53	ga_ls7e_ard_3-0-0_110084_2002-08-31_final
2002-10-20 10:55:43	ga_ls7e_ard_3-0-0_108075_2002-10-20_final
2003-05-01 09:58:42	ga_ls7e_ard_3-0-0_099069_2003-05-01_final
2003-07-17 11:07:40	ga_ls7e_ard_3-1-0_110072_2003-07-17_final
2004-05-02 11:00:18	ga_ls7e_ard_3-0-0_108083_2004-05-02_final
2004-07-23 10:44:30	ga_ls7e_ard_3-1-0_106075_2004-07-23_final
2005-01-27 11:09:42	ga_ls7e_ard_3-0-0_110075_2005-01-27_final
2005-03-02 11:00:49	ga_ls7e_ard_3-0-0_108083_2005-03-02_final
2005-05-06 11:42:00	ga_ls7e_ard_3-0-0_115078_2005-05-06_final
2005-07-19 10:38:49	ga_ls7e_ard_3-0-0_105075_2005-07-19_final
2005-08-28 11:24:53	ga_ls7e_ard_3-0-0_113067_2005-08-28_final
2005-12-01 09:07:29	ga_ls7e_ard_3-0-0_090078_2005-11-30_final
2006-03-15 09:57:50	ga_ls7e_ard_3-0-0_098079_2006-03-15_final
2006-04-07 10:03:58	ga_ls7e_ard_3-0-0_099079_2006-04-07_final
2006-07-18 11:04:41	ga_ls7e_ard_3-0-0_109077_2006-07-18_final
2006-09-03 10:23:16	ga_ls7e_ard_3-0-0_102082_2006-09-03_final
2007-05-16 11:18:50	ga_ls7e_ard_3-0-0_111080_2007-05-16_final
2007-07-03 09:34:39	ga_ls7e_ard_3-0-0_095067_2007-07-03_final
2007-09-10 09:57:34	ga_ls7e_ard_3-0-0_098079_2007-09-10_final
2007-12-22 10:01:51	ga_ls7e_ard_3-0-0_099073_2007-12-22_final
2008-01-01 09:03:40	ga_ls7e_ard_3-0-0_089082_2007-12-31_final
2008-01-31 09:16:48	ga_ls7e_ard_3-0-0_091084_2008-01-30_final
2008-05-16 11:28:26	ga_ls7e_ard_3-0-0_113074_2008-05-16_final
2008-08-11 09:58:31	ga_ls7e_ard_3-0-0_098083_2008-08-11_final
2008-09-02 09:23:16	ga_ls7e_ard_3-0-0_092088_2008-09-01_final
2008-12-18 10:39:19	ga_ls7e_ard_3-0-0_105076_2008-12-18_final
2009-01-09 10:02:47	ga_ls7e_ard_3-0-0_099077_2009-01-09_final
2009-02-21 09:41:45	ga_ls7e_ard_3-0-0_096070_2009-02-21_final
2009-04-23 09:18:51	ga_ls7e_ard_3-0-0_091089_2009-04-22_final
2009-05-17 10:01:34	ga_ls7e_ard_3-0-0_099072_2009-05-17_final
2009-12-19 10:51:14	ga_ls7e_ard_3-0-0_107071_2009-12-19_final
2010-04-18 10:01:44	ga_ls7e_ard_3-0-0_099068_2010-04-18_final
2010-08-15 10:10:19	ga_ls7e_ard_3-0-0_100074_2010-08-15_final
2010-11-27 09:26:19	ga_ls7e_ard_3-0-0_092086_2010-11-26_final
2011-03-24 11:18:51	ga_ls7e_ard_3-0-0_111072_2011-03-24_final
2012-06-20 10:44:15	ga_ls7e_ard_3-0-0_105076_2012-06-20_final
2012-10-22 09:31:03	ga_ls7e_ard_3-0-0_093075_2012-10-22_final
2013-01-15 09:48:43	ga_ls7e_ard_3-0-0_096072_2013-01-15_final
2013-06-17 09:42:27	ga_ls7e_ard_3-1-0_095073_2013-06-17_final
2013-07-25 10:47:30	ga_ls7e_ard_3-0-0_105082_2013-07-25_final
2014-12-24 09:32:23	ga_ls7e_ard_3-0-0_092087_2014-12-24_final
2015-06-13 10:49:00	ga_ls7e_ard_3-0-0_105075_2015-06-13_final
2015-07-15 10:50:20	ga_ls7e_ard_3-0-0_105078_2015-07-15_final
2015-10-19 09:14:23	ga_ls7e_ard_3-0-0_089084_2015-10-18_final
2015-12-12 10:14:14	ga_ls7e_ard_3-0-0_099077_2015-12-12_final
2016-02-02 11:29:06	ga_ls7e_ard_3-0-0_111077_2016-02-02_final
2016-06-09 09:54:07	ga_ls7e_ard_3-0-0_095085_2016-06-09_final
2016-09-01 11:03:15	ga_ls7e_ard_3-0-0_107072_2016-09-01_final
2016-10-15 11:28:26	ga_ls7e_ard_3-0-0_111073_2016-10-15_final
2017-01-20 10:30:33	ga_ls7e_ard_3-0-0_102069_2017-01-20_final
2017-03-16 10:36:26	ga_ls7e_ard_3-0-0_103068_2017-03-16_final
2017-06-25 10:58:13	ga_ls7e_ard_3-1-0_106075_2017-06-25_final
2017-09-17 10:36:14	ga_ls7e_ard_3-0-0_102082_2017-09-17_final
2018-04-05 09:41:56	ga_ls7e_ard_3-0-0_094074_2018-04-05_final
2018-07-30 10:54:27	ga_ls7e_ard_3-1-0_106075_2018-07-30_final
2018-11-11 10:06:44	ga_ls7e_ard_3-0-0_098085_2018-11-11_final
2019-03-30 09:36:51	ga_ls7e_ard_3-0-0_095067_2019-03-30_final
2019-06-28 10:15:01	ga_ls7e_ard_3-0-0_101078_2019-06-28_final
2020-01-24 11:32:33	ga_ls7e_ard_3-1-0_115079_2020-01-24_final
2020-02-25 09:54:01	ga_ls7e_ard_3-1-0_099084_2020-02-25_final
2020-03-01 10:08:18	ga_ls7e_ard_3-1-0_102074_2020-03-01_final
2020-09-04 09:39:46	ga_ls7e_ard_3-1-0_099077_2020-09-04_final
2020-11-29 10:35:26	ga_ls7e_ard_3-1-0_109076_2020-11-29_final
2021-04-20 10:33:48	ga_ls7e_ard_3-2-0_111068_2021-04-20_final
2021-07-17 09:42:10	ga_ls7e_ard_3-2-0_103081_2021-07-17_final
2021-09-19 09:36:33	ga_ls7e_ard_3-2-0_103081_2021-09-19_final
2021-12-16 10:15:02	ga_ls7e_ard_3-2-1_111074_2021-12-16_final
2022-01-28 09:55:30	ga_ls7e_ard_3-2-1_108082_2022-01-28_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