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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

70 results

Time (local)	Label
1999-12-11 09:50:19	ga_ls7e_ard_3-0-0_096084_1999-12-11_final
2000-05-08 10:04:53	ga_ls7e_ard_3-0-0_099076_2000-05-08_final
2000-05-20 10:26:42	ga_ls7e_ard_3-0-0_103069_2000-05-20_final
2000-06-18 10:01:10	ga_ls7e_ard_3-0-0_098083_2000-06-18_final
2000-07-05 09:05:43	ga_ls7e_ard_3-0-0_089084_2000-07-04_final
2000-10-15 10:02:49	ga_ls7e_ard_3-0-0_099076_2000-10-15_final
2001-12-14 09:52:48	ga_ls7e_ard_3-0-0_098070_2001-12-14_final
2001-12-15 10:38:04	ga_ls7e_ard_3-0-0_105075_2001-12-15_final
2002-07-31 10:15:42	ga_ls7e_ard_3-0-0_101082_2002-07-31_final
2003-02-03 09:58:19	ga_ls7e_ard_3-0-0_098084_2003-02-03_final
2003-08-07 09:49:32	ga_ls7e_ard_3-0-0_097078_2003-08-07_final
2003-11-16 10:05:30	ga_ls7e_ard_3-0-0_100071_2003-11-16_final
2003-11-30 10:18:44	ga_ls7e_ard_3-0-0_102073_2003-11-30_final
2004-07-24 09:50:28	ga_ls7e_ard_3-0-0_097079_2004-07-24_final
2005-02-11 10:23:49	ga_ls7e_ard_3-0-0_103068_2005-02-11_final
2005-05-03 11:12:18	ga_ls7e_ard_3-0-0_110081_2005-05-03_final
2005-05-14 10:49:23	ga_ls7e_ard_3-0-0_107070_2005-05-14_final
2005-08-30 09:36:01	ga_ls7e_ard_3-1-0_095073_2005-08-30_final
2005-08-30 11:15:42	ga_ls7e_ard_3-0-0_111075_2005-08-30_final
2005-10-25 10:28:42	ga_ls7e_ard_3-0-0_103081_2005-10-25_final
2006-02-24 11:07:48	ga_ls7e_ard_3-0-0_109084_2006-02-24_final
2006-07-22 10:39:32	ga_ls7e_ard_3-0-0_105076_2006-07-22_final
2007-05-20 10:50:06	ga_ls7e_ard_3-0-0_107070_2007-05-20_final
2007-06-07 09:06:22	ga_ls7e_ard_3-0-0_089089_2007-06-06_final
2007-09-05 11:13:10	ga_ls7e_ard_3-0-0_111067_2007-09-05_final
2007-11-26 09:26:38	ga_ls7e_ard_3-0-0_093078_2007-11-25_final
2007-12-23 09:13:01	ga_ls7e_ard_3-0-0_090090_2007-12-22_final
2008-07-09 09:16:21	ga_ls7e_ard_3-0-0_091085_2008-07-08_final
2008-10-13 10:53:35	ga_ls7e_ard_3-0-0_107083_2008-10-13_final
2009-01-14 10:18:34	ga_ls7e_ard_3-0-0_102070_2009-01-14_final
2009-10-24 10:03:48	ga_ls7e_ard_3-0-0_099078_2009-10-24_final
2009-11-10 09:08:02	ga_ls7e_ard_3-0-0_090077_2009-11-09_final
2010-05-03 10:58:08	ga_ls7e_ard_3-0-0_108070_2010-05-03_final
2010-07-15 09:19:53	ga_ls7e_ard_3-0-0_091087_2010-07-14_final
2010-08-06 10:20:05	ga_ls7e_ard_3-0-0_101083_2010-08-06_final
2010-10-31 11:17:48	ga_ls7e_ard_3-0-0_111072_2010-10-31_final
2010-11-29 10:46:52	ga_ls7e_ard_3-0-0_106071_2010-11-29_final
2011-03-12 09:20:02	ga_ls7e_ard_3-0-0_091084_2011-03-11_final
2011-05-17 09:06:52	ga_ls7e_ard_3-0-0_089082_2011-05-16_final
2011-09-02 11:05:53	ga_ls7e_ard_3-0-0_109071_2011-09-02_final
2011-11-29 10:18:47	ga_ls7e_ard_3-0-0_101076_2011-11-29_final
2012-02-20 10:46:56	ga_ls7e_ard_3-0-0_106068_2012-02-20_final
2012-02-21 11:29:48	ga_ls7e_ard_3-0-0_113067_2012-02-21_final
2012-03-29 10:11:01	ga_ls7e_ard_3-0-0_100071_2012-03-29_final
2012-08-04 10:14:41	ga_ls7e_ard_3-0-0_100078_2012-08-04_final
2013-02-05 10:06:09	ga_ls7e_ard_3-0-0_099069_2013-02-05_final
2013-06-19 09:30:29	ga_ls7e_ard_3-0-0_093074_2013-06-19_final
2013-09-14 11:15:56	ga_ls7e_ard_3-0-0_110075_2013-09-14_final
2013-10-01 10:21:17	ga_ls7e_ard_3-0-0_101077_2013-10-01_final
2014-03-06 09:13:18	ga_ls7e_ard_3-0-0_089090_2014-03-05_final
2015-08-10 09:46:14	ga_ls7e_ard_3-0-0_095072_2015-08-10_final
2015-11-04 10:48:41	ga_ls7e_ard_3-0-0_105072_2015-11-04_final
2016-03-21 09:54:31	ga_ls7e_ard_3-0-0_095087_2016-03-21_final
2016-04-20 11:37:57	ga_ls7e_ard_3-0-0_113067_2016-04-20_final
2016-09-13 09:49:07	ga_ls7e_ard_3-0-0_095072_2016-09-13_final
2017-05-20 11:23:12	ga_ls7e_ard_3-0-0_110076_2017-05-20_final
2017-06-02 10:54:45	ga_ls7e_ard_3-0-0_105082_2017-06-02_final
2018-05-05 11:35:50	ga_ls7e_ard_3-0-0_112082_2018-05-05_final
2018-11-24 11:10:01	ga_ls7e_ard_3-0-0_109074_2018-11-24_final
2019-01-04 11:03:29	ga_ls7e_ard_3-0-0_108076_2019-01-04_final
2019-03-24 10:15:44	ga_ls7e_ard_3-1-0_101071_2019-03-24_final
2019-07-26 10:40:14	ga_ls7e_ard_3-0-0_105082_2019-07-26_final
2019-08-09 10:52:02	ga_ls7e_ard_3-0-0_107082_2019-08-09_final
2019-09-03 10:39:12	ga_ls7e_ard_3-1-0_106068_2019-09-03_final
2021-01-29 09:57:20	ga_ls7e_ard_3-2-0_104069_2021-01-29_final
2021-06-19 09:15:01	ga_ls7e_ard_3-2-0_099069_2021-06-18_final
2021-12-07 10:22:05	ga_ls7e_ard_3-2-1_112074_2021-12-07_final
2021-12-29 08:08:22	ga_ls7e_ard_3-2-1_090085_2021-12-28_final
2022-01-05 09:47:08	ga_ls7e_ard_3-2-1_107071_2022-01-05_final
2022-03-19 07:56:30	ga_ls7e_ard_3-2-1_090075_2022-03-18_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