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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
2000-03-29 10:54:17	ga_ls7e_ard_3-0-0_107075_2000-03-29_final
2000-07-26 10:56:45	ga_ls7e_ard_3-0-0_108069_2000-07-26_final
2001-04-16 10:09:25	ga_ls7e_ard_3-0-0_100077_2001-04-16_final
2001-06-19 10:09:13	ga_ls7e_ard_3-0-0_100078_2001-06-19_final
2001-07-22 10:53:27	ga_ls7e_ard_3-0-0_107081_2001-07-22_final
2001-10-03 10:44:15	ga_ls7e_ard_3-0-0_106076_2001-10-03_final
2001-10-17 10:53:49	ga_ls7e_ard_3-0-0_108069_2001-10-17_final
2001-11-11 10:50:14	ga_ls7e_ard_3-0-0_107075_2001-11-11_final
2002-03-19 10:50:32	ga_ls7e_ard_3-0-0_107075_2002-03-19_final
2003-01-17 10:50:13	ga_ls7e_ard_3-0-0_107075_2003-01-17_final
2003-04-30 10:54:19	ga_ls7e_ard_3-0-0_108069_2003-04-30_final
2003-07-20 09:58:52	ga_ls7e_ard_3-0-0_099070_2003-07-20_final
2004-03-29 11:08:23	ga_ls7e_ard_3-1-0_110072_2004-03-29_final
2004-07-29 10:08:34	ga_ls7e_ard_3-0-0_100078_2004-07-29_final
2004-11-03 10:49:27	ga_ls7e_ard_3-0-0_107072_2004-11-03_final
2004-12-20 10:08:09	ga_ls7e_ard_3-0-0_100076_2004-12-20_final
2005-04-13 09:57:19	ga_ls7e_ard_3-0-0_098079_2005-04-13_final
2005-05-12 09:21:40	ga_ls7e_ard_3-0-0_093067_2005-05-11_final
2005-06-06 09:22:58	ga_ls7e_ard_3-0-0_092086_2005-06-05_final
2005-07-19 10:38:49	ga_ls7e_ard_3-0-0_105075_2005-07-19_final
2005-08-26 10:02:46	ga_ls7e_ard_3-0-0_099078_2005-08-26_final
2005-11-09 09:40:01	ga_ls7e_ard_3-0-0_096067_2005-11-09_final
2005-11-25 09:47:20	ga_ls7e_ard_3-0-0_096085_2005-11-25_final
2006-02-13 11:22:43	ga_ls7e_ard_3-0-0_112075_2006-02-13_final
2006-03-31 09:58:13	ga_ls7e_ard_3-0-0_098080_2006-03-31_final
2006-04-18 09:42:58	ga_ls7e_ard_3-0-0_096073_2006-04-18_final
2006-05-26 09:11:57	ga_ls7e_ard_3-0-0_090088_2006-05-25_final
2006-10-26 09:04:34	ga_ls7e_ard_3-0-0_089086_2006-10-25_final
2006-12-16 11:10:29	ga_ls7e_ard_3-0-0_110075_2006-12-16_final
2007-02-05 11:42:22	ga_ls7e_ard_3-1-0_115077_2007-02-05_final
2007-06-28 10:55:48	ga_ls7e_ard_3-0-0_108069_2007-06-28_final
2007-07-14 09:23:39	ga_ls7e_ard_3-0-0_092086_2007-07-13_final
2008-01-22 09:19:48	ga_ls7e_ard_3-0-0_092076_2008-01-21_final
2008-01-27 09:42:20	ga_ls7e_ard_3-0-0_095086_2008-01-27_final
2009-03-29 10:58:36	ga_ls7e_ard_3-0-0_108076_2009-03-29_final
2009-09-26 09:40:56	ga_ls7e_ard_3-0-0_095083_2009-09-26_final
2011-01-20 10:21:24	ga_ls7e_ard_3-0-0_102068_2011-01-20_final
2011-04-21 10:07:07	ga_ls7e_ard_3-0-0_099078_2011-04-21_final
2011-06-18 10:40:11	ga_ls7e_ard_3-0-0_105068_2011-06-18_final
2011-07-12 11:33:58	ga_ls7e_ard_3-0-0_113079_2011-07-12_final
2011-09-04 09:20:37	ga_ls7e_ard_3-1-0_091086_2011-09-03_final
2011-10-19 10:26:58	ga_ls7e_ard_3-0-0_102082_2011-10-19_final
2011-12-18 10:47:02	ga_ls7e_ard_3-0-0_106069_2011-12-18_final
2012-06-21 11:23:56	ga_ls7e_ard_3-0-0_112067_2012-06-21_final
2012-12-30 09:48:21	ga_ls7e_ard_3-0-0_096071_2012-12-30_final
2013-05-26 10:23:17	ga_ls7e_ard_3-0-0_101082_2013-05-26_final
2015-02-28 10:54:26	ga_ls7e_ard_3-1-0_106075_2015-02-28_final
2015-04-09 11:45:24	ga_ls7e_ard_3-0-0_114078_2015-04-09_final
2016-02-18 11:27:10	ga_ls7e_ard_3-0-0_111072_2016-02-18_final
2016-06-04 09:36:46	ga_ls7e_ard_3-0-0_092088_2016-06-04_final
2016-12-29 11:12:40	ga_ls7e_ard_3-0-0_108081_2016-12-29_final
2017-06-25 10:58:13	ga_ls7e_ard_3-1-0_106075_2017-06-25_final
2017-10-23 10:10:47	ga_ls7e_ard_3-1-0_098080_2017-10-23_final
2017-11-28 09:45:08	ga_ls7e_ard_3-0-0_094078_2017-11-28_final
2018-04-06 10:26:46	ga_ls7e_ard_3-0-0_101078_2018-04-06_final
2018-06-13 09:57:43	ga_ls7e_ard_3-0-0_097070_2018-06-13_final
2018-07-22 10:02:21	ga_ls7e_ard_3-0-0_098068_2018-07-22_final
2019-01-24 10:35:20	ga_ls7e_ard_3-0-0_104069_2019-01-24_final
2020-05-09 10:23:41	ga_ls7e_ard_3-1-0_105076_2020-05-09_final
2020-09-10 10:43:34	ga_ls7e_ard_3-1-0_109083_2020-09-10_final
2020-11-24 10:17:39	ga_ls7e_ard_3-1-0_106077_2020-11-24_final
2021-01-03 09:26:53	ga_ls7e_ard_3-1-0_098081_2021-01-02_final
2021-05-17 08:41:17	ga_ls7e_ard_3-2-0_092086_2021-05-16_final
2021-06-27 08:31:42	ga_ls7e_ard_3-2-0_091086_2021-06-26_final
2021-09-27 10:21:17	ga_ls7e_ard_3-2-0_111071_2021-09-27_final
2021-10-29 08:39:57	ga_ls7e_ard_3-2-0_095072_2021-10-28_final
2022-01-24 10:17:26	ga_ls7e_ard_3-2-1_112074_2022-01-24_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