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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
1999-10-08 09:43:38	ga_ls7e_ard_3-0-0_096067_1999-10-08_final
1999-10-28 11:00:26	ga_ls7e_ard_3-0-0_108074_1999-10-28_final
1999-12-31 11:00:20	ga_ls7e_ard_3-0-0_108074_1999-12-31_final
2000-01-22 10:26:03	ga_ls7e_ard_3-0-0_102081_2000-01-22_final
2000-07-10 10:57:04	ga_ls7e_ard_3-0-0_108069_2000-07-10_final
2001-02-11 10:09:43	ga_ls7e_ard_3-0-0_100077_2001-02-11_final
2001-04-17 10:51:53	ga_ls7e_ard_3-0-0_107075_2001-04-17_final
2002-06-14 10:54:04	ga_ls7e_ard_3-0-0_108069_2002-06-14_final
2002-09-18 10:53:19	ga_ls7e_ard_3-0-0_108069_2002-09-18_final
2003-02-11 10:44:39	ga_ls7e_ard_3-0-0_106076_2003-02-11_final
2004-07-05 10:54:33	ga_ls7e_ard_3-0-0_108069_2004-07-05_final
2004-09-23 10:54:10	ga_ls7e_ard_3-0-0_108069_2004-09-23_final
2004-10-01 10:07:52	ga_ls7e_ard_3-0-0_100077_2004-10-01_final
2004-10-22 10:26:58	ga_ls7e_ard_3-0-0_103078_2004-10-22_final
2004-12-20 10:08:33	ga_ls7e_ard_3-0-0_100077_2004-12-20_final
2005-04-17 11:12:15	ga_ls7e_ard_3-0-0_110081_2005-04-17_final
2005-04-19 10:55:05	ga_ls7e_ard_3-0-0_108069_2005-04-19_final
2005-05-31 09:57:18	ga_ls7e_ard_3-0-0_098079_2005-05-31_final
2005-08-31 10:22:28	ga_ls7e_ard_3-0-0_102081_2005-08-31_final
2007-03-25 10:04:03	ga_ls7e_ard_3-0-0_099078_2007-03-25_final
2007-05-22 10:40:07	ga_ls7e_ard_3-0-0_105076_2007-05-22_final
2007-06-01 09:37:03	ga_ls7e_ard_3-1-0_095073_2007-06-01_final
2007-09-17 10:03:19	ga_ls7e_ard_3-0-0_099078_2007-09-17_final
2007-09-26 09:56:42	ga_ls7e_ard_3-0-0_098077_2007-09-26_final
2007-10-02 10:55:17	ga_ls7e_ard_3-0-0_108069_2007-10-02_final
2007-12-21 10:55:52	ga_ls7e_ard_3-0-0_108069_2007-12-21_final
2008-07-15 10:16:52	ga_ls7e_ard_3-0-0_101082_2008-07-15_final
2008-10-19 10:16:37	ga_ls7e_ard_3-0-0_101083_2008-10-19_final
2009-01-21 10:25:34	ga_ls7e_ard_3-0-0_103072_2009-01-21_final
2009-12-04 09:58:34	ga_ls7e_ard_3-0-0_098079_2009-12-04_final
2010-08-03 09:42:48	ga_ls7e_ard_3-0-0_096067_2010-08-03_final
2011-01-27 10:29:13	ga_ls7e_ard_3-0-0_103072_2011-01-27_final
2011-12-02 09:14:49	ga_ls7e_ard_3-0-0_090086_2011-12-01_final
2012-09-02 09:41:43	ga_ls7e_ard_3-0-0_095072_2012-09-02_final
2012-10-08 10:57:24	ga_ls7e_ard_3-0-0_107075_2012-10-08_final
2012-11-07 09:27:53	ga_ls7e_ard_3-0-0_093067_2012-11-06_final
2012-11-24 10:15:17	ga_ls7e_ard_3-0-0_100077_2012-11-24_final
2013-03-04 09:46:44	ga_ls7e_ard_3-0-0_096067_2013-03-04_final
2013-12-29 10:15:43	ga_ls7e_ard_3-0-0_100077_2013-12-29_final
2014-03-05 10:00:56	ga_ls7e_ard_3-0-0_098070_2014-03-05_final
2014-03-16 11:26:57	ga_ls7e_ard_3-0-0_111084_2014-03-16_final
2014-05-26 09:47:57	ga_ls7e_ard_3-0-0_096067_2014-05-26_final
2014-11-28 10:31:35	ga_ls7e_ard_3-0-0_102081_2014-11-28_final
2015-04-20 09:43:38	ga_ls7e_ard_3-0-0_095067_2015-04-20_final
2015-05-24 09:34:18	ga_ls7e_ard_3-0-0_093074_2015-05-24_final
2016-03-21 09:46:32	ga_ls7e_ard_3-0-0_095067_2016-03-21_final
2017-04-16 09:52:56	ga_ls7e_ard_3-0-0_096067_2017-04-16_final
2017-06-16 09:27:30	ga_ls7e_ard_3-0-0_091080_2017-06-15_final
2017-06-21 11:22:56	ga_ls7e_ard_3-0-0_110075_2017-06-21_final
2017-09-02 11:16:44	ga_ls7e_ard_3-0-0_109075_2017-09-02_final
2017-09-19 10:22:16	ga_ls7e_ard_3-0-0_100078_2017-09-19_final
2017-12-27 09:13:57	ga_ls7e_ard_3-0-0_089078_2017-12-26_final
2018-07-01 09:43:48	ga_ls7e_ard_3-0-0_095067_2018-07-01_final
2019-12-14 09:59:08	ga_ls7e_ard_3-1-0_100072_2019-12-14_final
2020-01-24 09:52:52	ga_ls7e_ard_3-1-0_099077_2020-01-24_final
2020-04-03 10:50:32	ga_ls7e_ard_3-1-0_109076_2020-04-03_final
2020-05-06 09:53:22	ga_ls7e_ard_3-1-0_100077_2020-05-06_final
2020-09-21 10:18:18	ga_ls7e_ard_3-1-0_106068_2020-09-21_final
2021-01-04 08:32:00	ga_ls7e_ard_3-1-0_089083_2021-01-03_final
2021-02-14 09:58:08	ga_ls7e_ard_3-2-0_104074_2021-02-14_final
2021-06-24 09:37:56	ga_ls7e_ard_3-2-0_102081_2021-06-24_final
2021-07-15 09:54:42	ga_ls7e_ard_3-2-0_105081_2021-07-15_final
2021-07-28 09:21:28	ga_ls7e_ard_3-2-0_100078_2021-07-27_final
2021-09-07 09:11:42	ga_ls7e_ard_3-2-0_099078_2021-09-06_final
2022-01-20 09:07:15	ga_ls7e_ard_3-2-1_100083_2022-01-19_final
2022-02-02 10:08:22	ga_ls7e_ard_3-2-1_111069_2022-02-02_final
2022-03-20 10:21:44	ga_ls7e_ard_3-2-1_113083_2022-03-20_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