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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
1999-10-14 10:46:35	ga_ls7e_ard_3-0-0_106070_1999-10-14_final
2000-05-08 10:05:17	ga_ls7e_ard_3-0-0_099077_2000-05-08_final
2000-07-10 10:57:04	ga_ls7e_ard_3-0-0_108069_2000-07-10_final
2000-10-07 10:52:10	ga_ls7e_ard_3-0-0_107075_2000-10-07_final
2000-10-20 10:23:28	ga_ls7e_ard_3-0-0_102081_2000-10-20_final
2000-11-15 10:55:53	ga_ls7e_ard_3-0-0_108069_2000-11-15_final
2001-10-29 09:38:53	ga_ls7e_ard_3-0-0_096067_2001-10-29_final
2002-09-04 10:43:34	ga_ls7e_ard_3-1-0_106075_2002-09-04_final
2003-03-15 10:44:19	ga_ls7e_ard_3-1-0_106075_2003-03-15_final
2003-04-12 11:08:40	ga_ls7e_ard_3-0-0_110074_2003-04-12_final
2003-08-31 10:38:09	ga_ls7e_ard_3-0-0_105076_2003-08-31_final
2003-09-30 10:49:57	ga_ls7e_ard_3-0-0_107075_2003-09-30_final
2003-11-17 09:16:40	ga_ls7e_ard_3-0-0_091088_2003-11-16_final
2004-07-29 10:08:10	ga_ls7e_ard_3-0-0_100077_2004-07-29_final
2004-12-13 10:02:42	ga_ls7e_ard_3-0-0_099078_2004-12-13_final
2005-01-12 10:12:29	ga_ls7e_ard_3-0-0_101071_2005-01-12_final
2005-01-29 10:54:59	ga_ls7e_ard_3-0-0_108069_2005-01-29_final
2005-03-16 09:33:55	ga_ls7e_ard_3-0-0_094082_2005-03-16_final
2005-05-06 10:03:07	ga_ls7e_ard_3-0-0_099078_2005-05-06_final
2005-06-21 10:12:31	ga_ls7e_ard_3-0-0_101071_2005-06-21_final
2005-08-14 09:40:56	ga_ls7e_ard_3-0-0_095085_2005-08-14_final
2005-09-03 10:50:56	ga_ls7e_ard_3-0-0_107075_2005-09-03_final
2006-04-14 10:09:19	ga_ls7e_ard_3-0-0_100077_2006-04-14_final
2006-06-01 10:09:21	ga_ls7e_ard_3-0-0_100077_2006-06-01_final
2006-07-04 09:18:21	ga_ls7e_ard_3-0-0_091089_2006-07-03_final
2006-07-12 10:02:56	ga_ls7e_ard_3-0-0_099077_2006-07-12_final
2007-09-02 09:12:36	ga_ls7e_ard_3-0-0_090090_2007-09-01_final
2007-09-08 10:09:09	ga_ls7e_ard_3-0-0_100077_2007-09-08_final
2008-04-12 10:03:39	ga_ls7e_ard_3-0-0_099078_2008-04-12_final
2008-04-17 10:23:23	ga_ls7e_ard_3-0-0_102081_2008-04-17_final
2008-06-06 10:09:07	ga_ls7e_ard_3-0-0_100077_2008-06-06_final
2008-11-17 09:39:46	ga_ls7e_ard_3-0-0_096067_2008-11-17_final
2009-03-07 09:53:02	ga_ls7e_ard_3-0-0_098067_2009-03-07_final
2009-03-25 09:40:49	ga_ls7e_ard_3-0-0_096067_2009-03-25_final
2009-04-17 09:48:43	ga_ls7e_ard_3-0-0_097071_2009-04-17_final
2009-12-27 10:01:32	ga_ls7e_ard_3-0-0_099070_2009-12-27_final
2011-10-19 10:26:58	ga_ls7e_ard_3-0-0_102082_2011-10-19_final
2012-03-14 10:55:52	ga_ls7e_ard_3-0-0_107075_2012-03-14_final
2012-11-06 10:29:05	ga_ls7e_ard_3-0-0_102081_2012-11-06_final
2013-04-18 09:24:02	ga_ls7e_ard_3-0-0_091088_2013-04-17_final
2014-01-14 10:18:38	ga_ls7e_ard_3-0-0_100084_2014-01-14_final
2014-04-28 09:31:27	ga_ls7e_ard_3-0-0_092088_2014-04-28_final
2014-05-17 09:54:54	ga_ls7e_ard_3-0-0_097069_2014-05-17_final
2014-11-26 10:44:19	ga_ls7e_ard_3-0-0_104082_2014-11-26_final
2014-12-20 09:49:07	ga_ls7e_ard_3-0-0_096067_2014-12-20_final
2015-05-06 09:43:45	ga_ls7e_ard_3-0-0_095067_2015-05-06_final
2016-06-23 11:44:36	ga_ls7e_ard_3-0-0_113083_2016-06-23_final
2017-03-25 10:35:53	ga_ls7e_ard_3-0-0_102082_2017-03-25_final
2017-05-02 09:53:02	ga_ls7e_ard_3-0-0_096067_2017-05-02_final
2017-05-13 11:16:36	ga_ls7e_ard_3-0-0_109075_2017-05-13_final
2017-08-16 10:35:52	ga_ls7e_ard_3-0-0_102081_2017-08-16_final
2018-03-02 09:51:57	ga_ls7e_ard_3-0-0_096067_2018-03-02_final
2018-03-28 10:34:41	ga_ls7e_ard_3-0-0_102082_2018-03-28_final
2018-10-12 09:47:52	ga_ls7e_ard_3-0-0_096067_2018-10-12_final
2019-01-04 11:02:41	ga_ls7e_ard_3-0-0_108074_2019-01-04_final
2019-01-10 10:28:12	ga_ls7e_ard_3-0-0_102081_2019-01-10_final
2019-03-01 10:12:42	ga_ls7e_ard_3-1-0_100077_2019-03-01_final
2019-04-01 11:06:06	ga_ls7e_ard_3-0-0_109074_2019-04-01_final
2019-10-26 10:58:16	ga_ls7e_ard_3-1-0_109075_2019-10-26_final
2020-02-26 10:31:14	ga_ls7e_ard_3-1-0_106069_2020-02-26_final
2020-04-08 09:26:19	ga_ls7e_ard_3-1-0_096067_2020-04-07_final
2020-07-25 09:48:34	ga_ls7e_ard_3-1-0_100077_2020-07-25_final
2020-09-21 10:21:06	ga_ls7e_ard_3-1-0_106075_2020-09-21_final
2020-10-27 09:56:27	ga_ls7e_ard_3-1-0_102081_2020-10-27_final
2021-03-16 08:35:17	ga_ls7e_ard_3-2-0_090089_2021-03-15_final
2021-07-18 10:22:32	ga_ls7e_ard_3-2-0_110074_2021-07-18_final
2021-08-14 08:29:08	ga_ls7e_ard_3-2-0_091090_2021-08-13_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