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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

60 results

Time (local)	Label
1999-09-17 09:31:40	ga_ls7e_ard_3-0-0_093084_1999-09-17_final
2000-02-01 09:24:39	ga_ls7e_ard_3-0-0_092082_2000-01-31_final
2000-02-07 10:26:00	ga_ls7e_ard_3-0-0_102081_2000-02-07_final
2000-03-27 11:06:17	ga_ls7e_ard_3-0-0_109074_2000-03-27_final
2003-04-13 10:15:50	ga_ls7e_ard_3-0-0_101081_2003-04-13_final
2003-08-07 09:49:32	ga_ls7e_ard_3-0-0_097078_2003-08-07_final
2003-08-14 09:52:33	ga_ls7e_ard_3-0-0_098070_2003-08-14_final
2004-01-25 11:09:21	ga_ls7e_ard_3-0-0_110075_2004-01-25_final
2004-04-01 11:40:52	ga_ls7e_ard_3-0-0_115076_2004-04-01_final
2004-04-27 10:38:33	ga_ls7e_ard_3-0-0_105075_2004-04-27_final
2004-05-20 09:06:41	ga_ls7e_ard_3-0-0_090077_2004-05-19_final
2004-08-13 11:00:56	ga_ls7e_ard_3-0-0_109070_2004-08-13_final
2005-05-15 09:54:10	ga_ls7e_ard_3-0-0_098071_2005-05-15_final
2005-05-20 10:17:29	ga_ls7e_ard_3-0-0_101083_2005-05-20_final
2006-08-23 10:39:03	ga_ls7e_ard_3-0-0_105075_2006-08-23_final
2007-02-20 09:19:55	ga_ls7e_ard_3-0-0_092076_2007-02-19_final
2007-03-18 09:54:17	ga_ls7e_ard_3-0-0_098069_2007-03-18_final
2007-11-05 09:11:55	ga_ls7e_ard_3-0-0_090088_2007-11-04_final
2008-02-04 10:26:10	ga_ls7e_ard_3-0-0_103072_2008-02-04_final
2008-04-11 09:23:59	ga_ls7e_ard_3-0-0_092087_2008-04-10_final
2008-06-20 10:18:33	ga_ls7e_ard_3-0-0_102070_2008-06-20_final
2008-08-22 11:15:12	ga_ls7e_ard_3-0-0_111074_2008-08-22_final
2008-12-23 09:23:48	ga_ls7e_ard_3-0-0_092088_2008-12-22_final
2009-01-25 09:59:40	ga_ls7e_ard_3-0-0_099069_2009-01-25_final
2009-05-31 10:15:07	ga_ls7e_ard_3-1-0_101075_2009-05-31_final
2009-07-03 09:19:26	ga_ls7e_ard_3-0-0_092075_2009-07-02_final
2009-08-11 11:06:41	ga_ls7e_ard_3-1-0_109081_2009-08-11_final
2009-09-24 09:49:42	ga_ls7e_ard_3-0-0_097074_2009-09-24_final
2009-11-18 11:36:28	ga_ls7e_ard_3-0-0_114077_2009-11-18_final
2010-08-22 10:16:56	ga_ls7e_ard_3-1-0_101075_2010-08-22_final
2011-04-06 09:11:07	ga_ls7e_ard_3-0-0_090077_2011-04-05_final
2011-10-18 11:19:23	ga_ls7e_ard_3-0-0_111074_2011-10-18_final
2011-11-03 09:37:47	ga_ls7e_ard_3-0-0_095067_2011-11-03_final
2012-03-22 10:10:02	ga_ls7e_ard_3-0-0_099084_2012-03-22_final
2012-05-06 11:12:53	ga_ls7e_ard_3-0-0_110070_2012-05-06_final
2012-08-17 11:20:50	ga_ls7e_ard_3-0-0_111073_2012-08-17_final
2012-09-30 10:09:31	ga_ls7e_ard_3-0-0_099079_2012-09-30_final
2013-07-25 10:47:30	ga_ls7e_ard_3-0-0_105082_2013-07-25_final
2014-03-15 10:42:52	ga_ls7e_ard_3-0-0_104082_2014-03-15_final
2014-05-24 10:00:43	ga_ls7e_ard_3-0-0_098068_2014-05-24_final
2014-08-04 09:20:20	ga_ls7e_ard_3-0-0_090090_2014-08-03_final
2015-02-08 09:42:55	ga_ls7e_ard_3-0-0_094082_2015-02-08_final
2015-07-14 10:09:28	ga_ls7e_ard_3-0-0_098084_2015-07-14_final
2015-09-12 10:33:34	ga_ls7e_ard_3-0-0_102082_2015-09-12_final
2016-09-02 10:10:26	ga_ls7e_ard_3-0-0_098079_2016-09-02_final
2017-03-01 11:21:59	ga_ls7e_ard_3-0-0_110074_2017-03-01_final
2017-07-20 09:15:58	ga_ls7e_ard_3-0-0_089082_2017-07-19_final
2017-11-08 10:12:45	ga_ls7e_ard_3-0-0_098085_2017-11-08_final
2018-06-13 10:02:06	ga_ls7e_ard_3-0-0_097081_2018-06-13_final
2018-07-05 09:26:59	ga_ls7e_ard_3-0-0_091087_2018-07-04_final
2019-04-10 11:00:00	ga_ls7e_ard_3-0-0_108075_2019-04-10_final
2019-11-17 10:17:24	ga_ls7e_ard_3-1-0_103068_2019-11-17_final
2020-02-19 10:27:49	ga_ls7e_ard_3-1-0_105075_2020-02-19_final
2020-08-13 08:39:47	ga_ls7e_ard_3-1-0_089078_2020-08-12_final
2020-10-12 10:36:42	ga_ls7e_ard_3-1-0_109071_2020-10-12_final
2021-01-26 09:31:50	ga_ls7e_ard_3-2-0_099082_2021-01-26_final
2021-02-06 09:13:41	ga_ls7e_ard_3-2-0_096085_2021-02-05_final
2021-04-17 08:30:39	ga_ls7e_ard_3-2-0_090084_2021-04-16_final
2021-06-09 10:20:01	ga_ls7e_ard_3-2-0_109075_2021-06-09_final
2021-08-06 09:10:54	ga_ls7e_ard_3-2-0_099069_2021-08-05_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

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