Search ga_ls7e_ard_3 whole collection

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

47 results

Time (local)	Label
1999-12-24 10:52:38	ga_ls7e_ard_3-0-0_107070_1999-12-24_final
2000-02-23 10:21:28	ga_ls7e_ard_3-0-0_102070_2000-02-23_final
2001-12-10 10:21:52	ga_ls7e_ard_3-0-0_102081_2001-12-10_final
2002-07-07 11:02:09	ga_ls7e_ard_3-0-0_109074_2002-07-07_final
2003-03-30 09:59:49	ga_ls7e_ard_3-0-0_099072_2003-03-30_final
2004-03-27 09:42:40	ga_ls7e_ard_3-0-0_096074_2004-03-27_final
2004-07-06 09:58:32	ga_ls7e_ard_3-0-0_099068_2004-07-06_final
2005-04-15 11:25:25	ga_ls7e_ard_3-1-0_112083_2005-04-15_final
2005-10-07 10:38:47	ga_ls7e_ard_3-0-0_105076_2005-10-07_final
2006-01-31 10:13:05	ga_ls7e_ard_3-0-0_101071_2006-01-31_final
2006-09-03 10:23:16	ga_ls7e_ard_3-0-0_102082_2006-09-03_final
2007-06-12 10:58:12	ga_ls7e_ard_3-1-0_108075_2007-06-12_final
2007-07-03 11:15:55	ga_ls7e_ard_3-0-0_111073_2007-07-03_final
2007-12-21 10:58:16	ga_ls7e_ard_3-0-0_108075_2007-12-21_final
2008-03-29 09:54:06	ga_ls7e_ard_3-0-0_097085_2008-03-29_final
2008-06-19 11:16:11	ga_ls7e_ard_3-0-0_111075_2008-06-19_final
2008-09-18 11:00:01	ga_ls7e_ard_3-0-0_108083_2008-09-18_final
2008-12-24 11:41:10	ga_ls7e_ard_3-0-0_115076_2008-12-24_final
2009-04-02 10:36:17	ga_ls7e_ard_3-0-0_104082_2009-04-02_final
2009-09-13 10:07:04	ga_ls7e_ard_3-0-0_100071_2009-09-13_final
2010-03-14 11:12:50	ga_ls7e_ard_3-0-0_110076_2010-03-14_final
2010-05-25 10:22:35	ga_ls7e_ard_3-0-0_102074_2010-05-25_final
2010-08-14 11:06:20	ga_ls7e_ard_3-0-0_109075_2010-08-14_final
2010-12-30 10:04:17	ga_ls7e_ard_3-0-0_099072_2010-12-30_final
2011-03-01 11:12:14	ga_ls7e_ard_3-0-0_110071_2011-03-01_final
2011-04-13 10:58:58	ga_ls7e_ard_3-0-0_107084_2011-04-13_final
2011-09-02 11:07:05	ga_ls7e_ard_3-0-0_109074_2011-09-02_final
2011-12-25 10:57:42	ga_ls7e_ard_3-0-0_107080_2011-12-25_final
2012-04-07 10:03:36	ga_ls7e_ard_3-0-0_099068_2012-04-07_final
2013-03-01 10:56:18	ga_ls7e_ard_3-0-0_107071_2013-03-01_final
2013-03-20 09:48:17	ga_ls7e_ard_3-0-0_096071_2013-03-20_final
2013-04-17 10:12:53	ga_ls7e_ard_3-0-0_100071_2013-04-17_final
2015-07-01 10:39:28	ga_ls7e_ard_3-0-0_103082_2015-07-01_final
2016-01-10 11:20:40	ga_ls7e_ard_3-1-0_110072_2016-01-10_final
2016-08-06 10:30:30	ga_ls7e_ard_3-0-0_101083_2016-08-06_final
2016-08-31 10:19:35	ga_ls7e_ard_3-0-0_100071_2016-08-31_final
2017-01-31 10:14:44	ga_ls7e_ard_3-0-0_099076_2017-01-31_final
2017-07-19 10:09:12	ga_ls7e_ard_3-0-0_098076_2017-07-19_final
2018-03-01 10:47:59	ga_ls7e_ard_3-0-0_105068_2018-03-01_final
2018-03-08 09:23:59	ga_ls7e_ard_3-0-0_090090_2018-03-07_final
2019-02-01 09:52:01	ga_ls7e_ard_3-0-0_096085_2019-02-01_final
2020-02-15 10:51:09	ga_ls7e_ard_3-1-0_109071_2020-02-15_final
2021-01-24 09:40:21	ga_ls7e_ard_3-2-0_101072_2021-01-24_final
2021-02-26 08:43:52	ga_ls7e_ard_3-2-0_092076_2021-02-25_final
2021-08-23 09:53:28	ga_ls7e_ard_3-2-0_106071_2021-08-23_final
2021-09-13 10:11:46	ga_ls7e_ard_3-2-0_109075_2021-09-13_final
2022-03-19 08:01:41	ga_ls7e_ard_3-2-1_090088_2022-03-18_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

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