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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

62 results

Time (local)	Label
1999-09-10 11:00:26	ga_ls7e_ard_3-0-0_108074_1999-09-10_final
2000-03-20 11:00:09	ga_ls7e_ard_3-0-0_108074_2000-03-20_final
2000-04-05 10:59:58	ga_ls7e_ard_3-0-0_108074_2000-04-05_final
2000-05-08 11:44:10	ga_ls7e_ard_3-1-0_115077_2000-05-08_final
2000-08-27 10:56:30	ga_ls7e_ard_3-0-0_108069_2000-08-27_final
2001-10-29 11:21:45	ga_ls7e_ard_3-0-0_112077_2001-10-29_final
2001-11-10 10:06:57	ga_ls7e_ard_3-0-0_100075_2001-11-10_final
2001-11-19 11:40:32	ga_ls7e_ard_3-0-0_115077_2001-11-19_final
2002-04-28 11:40:49	ga_ls7e_ard_3-0-0_115077_2002-04-28_final
2002-06-14 10:56:04	ga_ls7e_ard_3-0-0_108074_2002-06-14_final
2002-06-23 10:50:13	ga_ls7e_ard_3-0-0_107075_2002-06-23_final
2002-07-09 10:50:10	ga_ls7e_ard_3-0-0_107075_2002-07-09_final
2002-10-13 10:49:25	ga_ls7e_ard_3-0-0_107075_2002-10-13_final
2002-12-07 10:55:48	ga_ls7e_ard_3-1-0_108074_2002-12-07_final
2003-01-18 09:56:12	ga_ls7e_ard_3-0-0_098079_2003-01-18_final
2003-02-11 10:44:15	ga_ls7e_ard_3-1-0_106075_2003-02-11_final
2003-11-10 10:44:04	ga_ls7e_ard_3-1-0_106075_2003-11-10_final
2004-01-28 11:41:04	ga_ls7e_ard_3-1-0_115077_2004-01-28_final
2004-03-03 10:31:35	ga_ls7e_ard_3-0-0_104073_2004-03-03_final
2004-03-08 10:53:22	ga_ls7e_ard_3-0-0_107081_2004-03-08_final
2004-07-14 10:53:08	ga_ls7e_ard_3-0-0_107081_2004-07-14_final
2004-08-07 11:40:48	ga_ls7e_ard_3-0-0_115077_2004-08-07_final
2004-11-01 11:02:35	ga_ls7e_ard_3-0-0_109074_2004-11-01_final
2005-01-31 10:45:02	ga_ls7e_ard_3-1-0_106075_2005-01-31_final
2005-02-15 10:03:07	ga_ls7e_ard_3-0-0_099078_2005-02-15_final
2005-03-11 09:18:34	ga_ls7e_ard_3-0-0_091090_2005-03-10_final
2005-03-25 11:03:25	ga_ls7e_ard_3-0-0_109074_2005-03-25_final
2005-04-29 09:57:19	ga_ls7e_ard_3-0-0_098079_2005-04-29_final
2005-07-19 10:39:13	ga_ls7e_ard_3-0-0_105076_2005-07-19_final
2006-01-17 10:03:25	ga_ls7e_ard_3-0-0_099078_2006-01-17_final
2006-04-09 11:32:05	ga_ls7e_ard_3-0-0_113083_2006-04-09_final
2006-05-09 10:03:59	ga_ls7e_ard_3-0-0_099079_2006-05-09_final
2006-10-24 10:51:23	ga_ls7e_ard_3-0-0_107075_2006-10-24_final
2006-11-03 09:53:20	ga_ls7e_ard_3-1-0_097084_2006-11-03_final
2007-05-18 09:29:11	ga_ls7e_ard_3-0-0_093084_2007-05-17_final
2007-06-28 09:24:06	ga_ls7e_ard_3-0-0_092087_2007-06-27_final
2007-07-15 11:42:12	ga_ls7e_ard_3-0-0_115077_2007-07-15_final
2007-08-25 09:57:18	ga_ls7e_ard_3-0-0_098078_2007-08-25_final
2008-03-11 10:04:03	ga_ls7e_ard_3-0-0_099079_2008-03-11_final
2008-07-05 11:19:12	ga_ls7e_ard_3-0-0_111083_2008-07-05_final
2009-08-04 09:24:28	ga_ls7e_ard_3-0-0_092088_2009-08-03_final
2009-10-24 10:03:48	ga_ls7e_ard_3-0-0_099078_2009-10-24_final
2009-12-03 10:52:35	ga_ls7e_ard_3-0-0_107075_2009-12-03_final
2011-01-09 09:06:10	ga_ls7e_ard_3-1-0_089081_2011-01-08_final
2011-04-07 11:34:28	ga_ls7e_ard_3-0-0_113080_2011-04-07_final
2011-11-07 10:55:14	ga_ls7e_ard_3-0-0_107075_2011-11-07_final
2012-06-18 10:56:12	ga_ls7e_ard_3-0-0_107075_2012-06-18_final
2012-09-06 10:57:08	ga_ls7e_ard_3-0-0_107075_2012-09-06_final
2014-12-17 11:03:51	ga_ls7e_ard_3-0-0_107084_2014-12-17_final
2015-03-22 10:18:20	ga_ls7e_ard_3-0-0_100077_2015-03-22_final
2015-06-02 09:33:46	ga_ls7e_ard_3-0-0_092088_2015-06-02_final
2015-12-19 10:20:32	ga_ls7e_ard_3-0-0_100077_2015-12-19_final
2017-02-15 11:08:18	ga_ls7e_ard_3-0-0_108071_2017-02-15_final
2017-08-11 10:15:44	ga_ls7e_ard_3-0-0_099077_2017-08-11_final
2018-05-28 11:42:27	ga_ls7e_ard_3-0-0_113084_2018-05-28_final
2018-06-11 10:13:42	ga_ls7e_ard_3-0-0_099079_2018-06-11_final
2018-06-28 09:22:09	ga_ls7e_ard_3-0-0_090090_2018-06-27_final
2020-02-25 09:51:37	ga_ls7e_ard_3-1-0_099078_2020-02-25_final
2020-05-31 09:46:28	ga_ls7e_ard_3-1-0_099079_2020-05-31_final
2021-01-03 09:26:53	ga_ls7e_ard_3-1-0_098081_2021-01-02_final
2021-03-08 11:01:02	ga_ls7e_ard_3-2-0_114081_2021-03-08_final
2022-01-17 10:10:43	ga_ls7e_ard_3-2-1_111071_2022-01-17_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