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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

71 results

Time (local)	Label
1999-12-16 10:02:53	ga_ls7e_ard_3-0-0_099069_1999-12-16_final
2000-01-07 11:06:34	ga_ls7e_ard_3-0-0_109074_2000-01-07_final
2001-11-20 10:47:18	ga_ls7e_ard_3-0-0_106083_2001-11-20_final
2001-12-13 09:12:20	ga_ls7e_ard_3-0-0_091077_2001-12-12_final
2002-06-15 09:58:27	ga_ls7e_ard_3-0-0_099069_2002-06-15_final
2002-11-10 11:13:58	ga_ls7e_ard_3-0-0_111074_2002-11-10_final
2003-03-26 10:26:28	ga_ls7e_ard_3-0-0_103077_2003-03-26_final
2003-04-26 09:46:31	ga_ls7e_ard_3-0-0_096085_2003-04-26_final
2003-09-23 10:41:47	ga_ls7e_ard_3-0-0_106070_2003-09-23_final
2003-10-25 10:43:56	ga_ls7e_ard_3-1-0_106075_2003-10-25_final
2004-01-03 10:05:49	ga_ls7e_ard_3-0-0_100071_2004-01-03_final
2004-02-01 09:37:05	ga_ls7e_ard_3-0-0_095076_2004-02-01_final
2004-02-07 09:01:13	ga_ls7e_ard_3-0-0_089079_2004-02-06_final
2005-03-04 10:45:16	ga_ls7e_ard_3-1-0_106075_2005-03-04_final
2005-08-19 09:53:03	ga_ls7e_ard_3-0-0_098069_2005-08-19_final
2005-10-13 11:40:41	ga_ls7e_ard_3-0-0_115076_2005-10-13_final
2005-12-31 09:19:13	ga_ls7e_ard_3-0-0_092076_2005-12-30_final
2006-01-26 09:57:18	ga_ls7e_ard_3-0-0_098078_2006-01-26_final
2006-02-21 08:56:49	ga_ls7e_ard_3-0-0_088081_2006-02-20_final
2006-03-23 09:10:23	ga_ls7e_ard_3-0-0_090084_2006-03-22_final
2006-04-21 10:15:29	ga_ls7e_ard_3-0-0_101077_2006-04-21_final
2006-05-09 10:00:47	ga_ls7e_ard_3-0-0_099071_2006-05-09_final
2006-07-14 11:31:50	ga_ls7e_ard_3-0-0_113083_2006-07-14_final
2007-04-09 09:25:10	ga_ls7e_ard_3-0-0_092089_2007-04-08_final
2007-04-23 11:11:11	ga_ls7e_ard_3-0-0_110076_2007-04-23_final
2007-09-14 09:34:50	ga_ls7e_ard_3-0-0_094084_2007-09-14_final
2007-09-25 10:53:08	ga_ls7e_ard_3-0-0_107079_2007-09-25_final
2009-02-12 09:48:38	ga_ls7e_ard_3-0-0_097072_2009-02-12_final
2009-02-19 09:54:29	ga_ls7e_ard_3-0-0_098071_2009-02-19_final
2009-08-04 09:23:40	ga_ls7e_ard_3-0-0_092086_2009-08-03_final
2009-09-11 10:18:38	ga_ls7e_ard_3-0-0_102069_2009-09-11_final
2010-02-22 09:55:43	ga_ls7e_ard_3-0-0_098069_2010-02-22_final
2010-06-29 09:19:51	ga_ls7e_ard_3-0-0_091087_2010-06-28_final
2011-05-12 10:26:51	ga_ls7e_ard_3-0-0_102081_2011-05-12_final
2011-10-07 11:39:02	ga_ls7e_ard_3-0-0_114077_2011-10-07_final
2012-01-26 10:54:58	ga_ls7e_ard_3-0-0_107073_2012-01-26_final
2012-03-29 10:11:25	ga_ls7e_ard_3-0-0_100072_2012-03-29_final
2012-05-13 09:45:30	ga_ls7e_ard_3-0-0_095083_2012-05-13_final
2012-10-29 09:36:28	ga_ls7e_ard_3-0-0_094073_2012-10-29_final
2012-11-05 11:25:55	ga_ls7e_ard_3-0-0_111084_2012-11-05_final
2012-12-05 11:35:37	ga_ls7e_ard_3-0-0_113077_2012-12-05_final
2014-02-10 09:57:36	ga_ls7e_ard_3-0-0_097077_2014-02-10_final
2014-07-11 11:39:21	ga_ls7e_ard_3-0-0_114067_2014-07-11_final
2014-07-28 09:09:44	ga_ls7e_ard_3-0-0_089079_2014-07-27_final
2014-08-03 11:49:15	ga_ls7e_ard_3-0-0_115076_2014-08-03_final
2014-12-10 09:19:29	ga_ls7e_ard_3-0-0_090086_2014-12-09_final
2015-04-07 10:18:03	ga_ls7e_ard_3-0-0_100076_2015-04-07_final
2015-08-06 10:09:44	ga_ls7e_ard_3-0-0_099069_2015-08-06_final
2016-09-01 11:04:03	ga_ls7e_ard_3-0-0_107074_2016-09-01_final
2016-09-13 09:47:07	ga_ls7e_ard_3-0-0_095067_2016-09-13_final
2016-09-17 09:29:35	ga_ls7e_ard_3-0-0_091085_2016-09-16_final
2016-09-21 10:36:59	ga_ls7e_ard_3-0-0_103068_2016-09-21_final
2016-11-14 11:41:00	ga_ls7e_ard_3-0-0_113074_2016-11-14_final
2016-11-28 11:54:55	ga_ls7e_ard_3-0-0_115078_2016-11-28_final
2017-02-07 10:21:16	ga_ls7e_ard_3-0-0_100077_2017-02-07_final
2017-09-15 10:48:36	ga_ls7e_ard_3-0-0_104082_2017-09-15_final
2017-12-12 09:54:59	ga_ls7e_ard_3-0-0_096072_2017-12-12_final
2018-03-27 11:24:44	ga_ls7e_ard_3-0-0_111068_2018-03-27_final
2018-04-24 10:10:07	ga_ls7e_ard_3-0-0_099068_2018-04-24_final
2018-06-24 11:18:39	ga_ls7e_ard_3-1-0_110072_2018-06-24_final
2019-09-07 10:15:06	ga_ls7e_ard_3-1-0_102070_2019-09-07_final
2020-01-14 09:15:29	ga_ls7e_ard_3-1-0_093075_2020-01-13_final
2020-02-19 10:27:49	ga_ls7e_ard_3-1-0_105075_2020-02-19_final
2020-07-28 10:18:05	ga_ls7e_ard_3-1-0_105074_2020-07-28_final
2020-11-07 09:32:23	ga_ls7e_ard_3-1-0_099069_2020-11-07_final
2020-11-26 10:05:09	ga_ls7e_ard_3-1-0_104077_2020-11-26_final
2021-02-12 10:11:03	ga_ls7e_ard_3-2-0_106075_2021-02-12_final
2021-04-26 08:20:55	ga_ls7e_ard_3-2-0_089077_2021-04-25_final
2021-07-06 09:59:15	ga_ls7e_ard_3-2-0_106075_2021-07-06_final
2021-07-11 10:16:58	ga_ls7e_ard_3-2-0_109074_2021-07-11_final
2022-01-17 10:11:55	ga_ls7e_ard_3-2-1_111074_2022-01-17_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