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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

76 results

Time (local)	Label
1999-09-30 10:37:02	ga_ls7e_ard_3-0-0_104077_1999-09-30_final
1999-10-09 10:32:28	ga_ls7e_ard_3-0-0_103081_1999-10-09_final
2000-02-28 09:04:45	ga_ls7e_ard_3-0-0_089079_2000-02-27_final
2000-09-30 10:46:02	ga_ls7e_ard_3-1-0_106075_2000-09-30_final
2000-11-02 09:48:20	ga_ls7e_ard_3-0-0_097070_2000-11-02_final
2000-11-09 10:00:27	ga_ls7e_ard_3-0-0_098085_2000-11-09_final
2001-02-05 09:10:43	ga_ls7e_ard_3-0-0_090084_2001-02-04_final
2001-02-24 11:14:03	ga_ls7e_ard_3-0-0_111068_2001-02-24_final
2001-03-26 09:54:08	ga_ls7e_ard_3-0-0_097085_2001-03-26_final
2001-09-23 10:07:21	ga_ls7e_ard_3-0-0_100076_2001-09-23_final
2003-02-05 11:18:05	ga_ls7e_ard_3-0-0_112067_2003-02-05_final
2003-05-18 10:44:16	ga_ls7e_ard_3-1-0_106075_2003-05-18_final
2003-05-21 09:35:28	ga_ls7e_ard_3-1-0_095073_2003-05-21_final
2003-08-22 10:43:59	ga_ls7e_ard_3-1-0_106075_2003-08-22_final
2003-11-09 09:59:36	ga_ls7e_ard_3-0-0_099072_2003-11-09_final
2004-02-07 10:38:30	ga_ls7e_ard_3-0-0_105075_2004-02-07_final
2004-02-19 11:03:38	ga_ls7e_ard_3-0-0_109076_2004-02-19_final
2004-03-24 10:51:03	ga_ls7e_ard_3-0-0_107075_2004-03-24_final
2004-06-15 09:42:24	ga_ls7e_ard_3-0-0_096074_2004-06-15_final
2004-08-01 10:38:38	ga_ls7e_ard_3-0-0_105076_2004-08-01_final
2004-10-15 10:17:04	ga_ls7e_ard_3-0-0_102069_2004-10-15_final
2004-11-21 10:38:24	ga_ls7e_ard_3-0-0_105075_2004-11-21_final
2005-06-29 11:05:31	ga_ls7e_ard_3-0-0_109080_2005-06-29_final
2005-07-27 09:52:34	ga_ls7e_ard_3-0-0_097083_2005-07-27_final
2005-10-09 10:23:40	ga_ls7e_ard_3-0-0_103069_2005-10-09_final
2005-11-27 11:08:40	ga_ls7e_ard_3-1-0_110072_2005-11-27_final
2005-11-30 10:03:54	ga_ls7e_ard_3-0-0_099080_2005-11-30_final
2006-02-16 10:16:44	ga_ls7e_ard_3-0-0_101080_2006-02-16_final
2006-06-25 10:59:53	ga_ls7e_ard_3-0-0_108080_2006-06-25_final
2006-11-02 09:07:39	ga_ls7e_ard_3-0-0_090078_2006-11-01_final
2007-07-14 11:01:20	ga_ls7e_ard_3-0-0_108083_2007-07-14_final
2007-10-19 10:03:21	ga_ls7e_ard_3-0-0_099078_2007-10-19_final
2008-04-24 10:24:21	ga_ls7e_ard_3-0-0_103068_2008-04-24_final
2008-07-12 09:41:13	ga_ls7e_ard_3-0-0_096070_2008-07-12_final
2008-08-28 10:38:52	ga_ls7e_ard_3-0-0_105076_2008-08-28_final
2009-01-14 10:17:46	ga_ls7e_ard_3-0-0_102068_2009-01-14_final
2009-05-01 10:00:44	ga_ls7e_ard_3-0-0_099070_2009-05-01_final
2009-06-28 10:40:12	ga_ls7e_ard_3-0-0_105076_2009-06-28_final
2009-08-15 10:37:58	ga_ls7e_ard_3-0-0_105071_2009-08-15_final
2009-10-09 09:09:55	ga_ls7e_ard_3-0-0_090083_2009-10-08_final
2010-01-23 09:49:24	ga_ls7e_ard_3-0-0_096085_2010-01-23_final
2010-02-25 10:31:50	ga_ls7e_ard_3-0-0_103082_2010-02-25_final
2010-07-10 10:36:14	ga_ls7e_ard_3-0-0_104077_2010-07-10_final
2010-07-29 11:06:21	ga_ls7e_ard_3-0-0_109075_2010-07-29_final
2010-09-26 09:14:10	ga_ls7e_ard_3-0-0_090088_2010-09-25_final
2010-12-06 09:21:01	ga_ls7e_ard_3-0-0_091088_2010-12-05_final
2012-04-29 11:08:55	ga_ls7e_ard_3-0-0_109076_2012-04-29_final
2012-08-12 11:03:27	ga_ls7e_ard_3-0-0_108076_2012-08-12_final
2012-09-07 10:04:42	ga_ls7e_ard_3-0-0_098083_2012-09-07_final
2012-12-08 10:28:52	ga_ls7e_ard_3-0-0_102080_2012-12-08_final
2013-08-26 09:10:18	ga_ls7e_ard_3-0-0_089086_2013-08-25_final
2014-07-08 09:37:57	ga_ls7e_ard_3-0-0_093088_2014-07-08_final
2015-01-26 10:08:09	ga_ls7e_ard_3-0-0_099068_2015-01-26_final
2015-02-19 09:24:25	ga_ls7e_ard_3-0-0_091082_2015-02-18_final
2015-05-09 10:16:17	ga_ls7e_ard_3-0-0_100071_2015-05-09_final
2015-10-02 10:09:15	ga_ls7e_ard_3-0-0_098083_2015-10-02_final
2016-05-19 09:36:15	ga_ls7e_ard_3-0-0_092087_2016-05-19_final
2017-08-01 09:43:04	ga_ls7e_ard_3-0-0_093088_2017-08-01_final
2017-09-01 10:31:53	ga_ls7e_ard_3-0-0_102071_2017-09-01_final
2018-02-03 10:11:59	ga_ls7e_ard_3-0-0_099070_2018-02-03_final
2018-09-15 10:08:15	ga_ls7e_ard_3-0-0_099070_2018-09-15_final
2018-09-16 10:50:41	ga_ls7e_ard_3-0-0_106068_2018-09-16_final
2018-09-29 10:23:52	ga_ls7e_ard_3-0-0_101079_2018-09-29_final
2019-05-31 09:53:43	ga_ls7e_ard_3-0-0_097084_2019-05-31_final
2019-12-31 09:09:49	ga_ls7e_ard_3-1-0_091090_2019-12-30_final
2020-01-17 09:44:38	ga_ls7e_ard_3-1-0_098071_2020-01-17_final
2020-05-09 10:23:17	ga_ls7e_ard_3-1-0_105075_2020-05-09_final
2020-06-18 11:13:32	ga_ls7e_ard_3-1-0_113083_2020-06-18_final
2020-07-11 09:33:28	ga_ls7e_ard_3-1-0_098068_2020-07-11_final
2020-08-20 08:48:19	ga_ls7e_ard_3-1-0_090085_2020-08-19_final
2020-11-02 09:20:10	ga_ls7e_ard_3-1-0_096084_2020-11-01_final
2020-11-11 09:13:46	ga_ls7e_ard_3-1-0_095085_2020-11-10_final
2020-12-09 11:11:22	ga_ls7e_ard_3-1-0_115075_2020-12-09_final
2021-01-20 10:04:09	ga_ls7e_ard_3-2-0_105069_2021-01-20_final
2021-04-15 10:20:28	ga_ls7e_ard_3-2-0_108080_2021-04-15_final
2021-07-11 10:17:22	ga_ls7e_ard_3-2-0_109075_2021-07-11_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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