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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

63 results

Time (local)	Label
1999-08-25 10:58:28	ga_ls7e_ard_3-0-0_108069_1999-08-25_final
1999-10-10 09:31:16	ga_ls7e_ard_3-1-0_094067_1999-10-10_final
1999-10-26 09:31:06	ga_ls7e_ard_3-1-0_094067_1999-10-26_final
1999-12-08 10:57:04	ga_ls7e_ard_3-0-0_107081_1999-12-08_final
2000-01-30 09:31:02	ga_ls7e_ard_3-1-0_094067_2000-01-30_final
2000-04-03 11:09:36	ga_ls7e_ard_3-0-0_110067_2000-04-03_final
2000-09-19 11:04:13	ga_ls7e_ard_3-1-0_109074_2000-09-19_final
2001-07-27 09:35:02	ga_ls7e_ard_3-0-0_094086_2001-07-27_final
2001-10-15 09:26:27	ga_ls7e_ard_3-1-0_094067_2001-10-14_final
2001-12-18 09:26:53	ga_ls7e_ard_3-1-0_094067_2001-12-17_final
2002-12-15 10:07:33	ga_ls7e_ard_3-0-0_100077_2002-12-15_final
2003-03-31 10:44:17	ga_ls7e_ard_3-1-0_106075_2003-03-31_final
2004-01-04 10:53:04	ga_ls7e_ard_3-0-0_107081_2004-01-04_final
2004-01-25 09:27:16	ga_ls7e_ard_3-1-0_094067_2004-01-24_final
2004-10-12 11:29:23	ga_ls7e_ard_3-0-0_113080_2004-10-12_final
2004-12-03 11:02:51	ga_ls7e_ard_3-0-0_109074_2004-12-03_final
2005-01-30 10:02:33	ga_ls7e_ard_3-0-0_099077_2005-01-30_final
2005-02-28 09:27:54	ga_ls7e_ard_3-1-0_094067_2005-02-27_final
2005-03-03 11:40:53	ga_ls7e_ard_3-0-0_115075_2005-03-03_final
2005-05-06 11:41:37	ga_ls7e_ard_3-1-0_115077_2005-05-06_final
2005-08-18 10:53:28	ga_ls7e_ard_3-0-0_107081_2005-08-18_final
2006-02-15 09:28:17	ga_ls7e_ard_3-1-0_094067_2006-02-14_final
2006-12-19 10:04:06	ga_ls7e_ard_3-0-0_099079_2006-12-19_final
2006-12-28 09:54:21	ga_ls7e_ard_3-0-0_098070_2006-12-28_final
2007-01-17 11:08:31	ga_ls7e_ard_3-0-0_110070_2007-01-17_final
2007-03-21 10:29:34	ga_ls7e_ard_3-0-0_103080_2007-03-21_final
2007-04-14 09:37:19	ga_ls7e_ard_3-1-0_095073_2007-04-14_final
2007-10-16 09:28:01	ga_ls7e_ard_3-1-0_094067_2007-10-15_final
2007-12-24 09:47:54	ga_ls7e_ard_3-0-0_097069_2007-12-24_final
2008-04-12 10:04:03	ga_ls7e_ard_3-0-0_099079_2008-04-12_final
2008-10-18 09:26:57	ga_ls7e_ard_3-1-0_094067_2008-10-17_final
2008-10-31 10:38:44	ga_ls7e_ard_3-0-0_105076_2008-10-31_final
2009-03-11 09:28:21	ga_ls7e_ard_3-1-0_094067_2009-03-10_final
2009-05-09 10:52:11	ga_ls7e_ard_3-0-0_107075_2009-05-09_final
2009-07-03 09:24:13	ga_ls7e_ard_3-0-0_092087_2009-07-02_final
2009-12-08 09:29:06	ga_ls7e_ard_3-1-0_094067_2009-12-07_final
2009-12-12 10:46:31	ga_ls7e_ard_3-1-0_106075_2009-12-12_final
2010-01-25 09:29:53	ga_ls7e_ard_3-1-0_094067_2010-01-24_final
2010-12-06 10:54:43	ga_ls7e_ard_3-0-0_107075_2010-12-06_final
2011-12-10 10:03:31	ga_ls7e_ard_3-0-0_098084_2011-12-10_final
2012-06-10 11:47:10	ga_ls7e_ard_3-0-0_115079_2012-06-10_final
2012-06-25 09:28:44	ga_ls7e_ard_3-0-0_092088_2012-06-24_final
2012-07-20 10:56:36	ga_ls7e_ard_3-0-0_107075_2012-07-20_final
2013-11-01 09:37:29	ga_ls7e_ard_3-0-0_094075_2013-11-01_final
2014-01-16 11:38:25	ga_ls7e_ard_3-0-0_114067_2014-01-16_final
2014-02-01 10:01:49	ga_ls7e_ard_3-0-0_098072_2014-02-01_final
2014-02-19 09:54:28	ga_ls7e_ard_3-0-0_096085_2014-02-19_final
2014-12-20 09:50:43	ga_ls7e_ard_3-0-0_096071_2014-12-20_final
2016-01-26 09:39:59	ga_ls7e_ard_3-1-0_094067_2016-01-26_final
2016-05-01 11:22:40	ga_ls7e_ard_3-0-0_110075_2016-05-01_final
2016-11-21 11:44:22	ga_ls7e_ard_3-0-0_114067_2016-11-21_final
2017-05-24 10:58:29	ga_ls7e_ard_3-0-0_106076_2017-05-24_final
2017-06-16 09:29:29	ga_ls7e_ard_3-0-0_091085_2017-06-15_final
2017-08-11 10:15:44	ga_ls7e_ard_3-0-0_099077_2017-08-11_final
2017-11-07 11:02:23	ga_ls7e_ard_3-0-0_107070_2017-11-07_final
2018-05-27 10:55:37	ga_ls7e_ard_3-1-0_106075_2018-05-27_final
2018-12-13 10:00:20	ga_ls7e_ard_3-0-0_098071_2018-12-13_final
2019-12-14 10:01:08	ga_ls7e_ard_3-1-0_100077_2019-12-14_final
2020-06-08 08:59:45	ga_ls7e_ard_3-1-0_091087_2020-06-07_final
2020-08-12 09:36:16	ga_ls7e_ard_3-1-0_098080_2020-08-12_final
2020-11-20 10:41:51	ga_ls7e_ard_3-1-0_110075_2020-11-20_final
2021-11-07 08:30:55	ga_ls7e_ard_3-2-0_094067_2021-11-06_final
2022-03-10 08:09:35	ga_ls7e_ard_3-2-1_091090_2022-03-09_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