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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

56 results

Time (local)	Label
1999-08-21 09:43:27	ga_ls7e_ard_3-0-0_096067_1999-08-21_final
2000-03-22 09:13:42	ga_ls7e_ard_3-1-0_090086_2000-03-21_final
2000-05-27 10:36:46	ga_ls7e_ard_3-0-0_104079_2000-05-27_final
2000-06-20 11:21:18	ga_ls7e_ard_3-0-0_112067_2000-06-20_final
2000-08-30 09:48:28	ga_ls7e_ard_3-0-0_097069_2000-08-30_final
2000-12-01 10:57:54	ga_ls7e_ard_3-0-0_108074_2000-12-01_final
2001-08-30 10:56:15	ga_ls7e_ard_3-0-0_108074_2001-08-30_final
2001-08-31 10:02:13	ga_ls7e_ard_3-0-0_099078_2001-08-31_final
2002-02-27 09:33:22	ga_ls7e_ard_3-0-0_095067_2002-02-27_final
2002-12-03 11:20:31	ga_ls7e_ard_3-0-0_112074_2002-12-03_final
2004-06-19 10:54:34	ga_ls7e_ard_3-0-0_108069_2004-06-19_final
2005-09-04 09:56:54	ga_ls7e_ard_3-0-0_098079_2005-09-04_final
2006-01-05 09:34:12	ga_ls7e_ard_3-0-0_095067_2006-01-05_final
2006-02-10 09:18:06	ga_ls7e_ard_3-0-0_091088_2006-02-09_final
2006-04-06 10:55:36	ga_ls7e_ard_3-0-0_108069_2006-04-06_final
2006-04-16 09:57:21	ga_ls7e_ard_3-0-0_098078_2006-04-16_final
2007-01-16 10:26:51	ga_ls7e_ard_3-0-0_103074_2007-01-16_final
2007-03-25 10:00:52	ga_ls7e_ard_3-0-0_099070_2007-03-25_final
2007-06-03 09:25:06	ga_ls7e_ard_3-0-0_093074_2007-06-02_final
2007-06-28 10:55:48	ga_ls7e_ard_3-0-0_108069_2007-06-28_final
2007-07-14 10:55:45	ga_ls7e_ard_3-0-0_108069_2007-07-14_final
2007-07-30 10:55:41	ga_ls7e_ard_3-0-0_108069_2007-07-30_final
2007-11-05 09:07:55	ga_ls7e_ard_3-0-0_090078_2007-11-04_final
2008-01-06 10:55:54	ga_ls7e_ard_3-0-0_108069_2008-01-06_final
2008-03-19 10:49:54	ga_ls7e_ard_3-0-0_107070_2008-03-19_final
2009-08-13 09:17:50	ga_ls7e_ard_3-0-0_091087_2009-08-12_final
2010-02-21 10:55:20	ga_ls7e_ard_3-0-0_107079_2010-02-21_final
2010-04-22 09:36:37	ga_ls7e_ard_3-0-0_095067_2010-04-22_final
2010-05-16 10:31:33	ga_ls7e_ard_3-0-0_103081_2010-05-16_final
2010-05-24 09:36:31	ga_ls7e_ard_3-0-0_095067_2010-05-24_final
2010-10-19 10:52:35	ga_ls7e_ard_3-0-0_107071_2010-10-19_final
2011-01-03 09:37:36	ga_ls7e_ard_3-0-0_095067_2011-01-03_final
2011-01-24 09:57:06	ga_ls7e_ard_3-0-0_098069_2011-01-24_final
2011-11-19 09:44:49	ga_ls7e_ard_3-0-0_095084_2011-11-19_final
2013-12-10 09:40:46	ga_ls7e_ard_3-0-0_095067_2013-12-10_final
2014-11-29 11:12:28	ga_ls7e_ard_3-0-0_109075_2014-11-29_final
2015-03-28 11:21:45	ga_ls7e_ard_3-0-0_110081_2015-03-28_final
2015-08-10 09:44:14	ga_ls7e_ard_3-0-0_095067_2015-08-10_final
2015-10-26 09:17:53	ga_ls7e_ard_3-0-0_090077_2015-10-25_final
2015-11-14 09:45:06	ga_ls7e_ard_3-0-0_095067_2015-11-14_final
2016-04-13 10:00:25	ga_ls7e_ard_3-1-0_096086_2016-04-13_final
2016-06-25 11:28:15	ga_ls7e_ard_3-0-0_111073_2016-06-25_final
2016-09-13 11:32:23	ga_ls7e_ard_3-0-0_111083_2016-09-13_final
2017-04-25 09:46:49	ga_ls7e_ard_3-0-0_095067_2017-04-25_final
2017-09-12 10:12:07	ga_ls7e_ard_3-0-0_099068_2017-09-12_final
2017-11-18 10:47:00	ga_ls7e_ard_3-0-0_104078_2017-11-18_final
2018-01-07 10:35:20	ga_ls7e_ard_3-0-0_102081_2018-01-07_final
2020-06-25 09:35:14	ga_ls7e_ard_3-1-0_098070_2020-06-25_final
2020-08-02 09:03:25	ga_ls7e_ard_3-1-0_092089_2020-08-01_final
2020-08-20 10:23:12	ga_ls7e_ard_3-1-0_106075_2020-08-20_final
2020-11-22 10:27:21	ga_ls7e_ard_3-1-0_108070_2020-11-22_final
2021-02-19 08:43:00	ga_ls7e_ard_3-2-0_091088_2021-02-18_final
2021-08-06 10:52:35	ga_ls7e_ard_3-2-0_115076_2021-08-06_final
2021-08-15 09:09:31	ga_ls7e_ard_3-2-0_098083_2021-08-14_final
2021-10-27 08:51:17	ga_ls7e_ard_3-2-0_097069_2021-10-26_final
2021-12-08 09:29:34	ga_ls7e_ard_3-2-1_103082_2021-12-07_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