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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
1987-11-24 10:14:15	ga_ls5t_ard_3-1-0_104082_1987-11-24_final
1988-01-25 10:22:26	ga_ls5t_ard_3-0-0_106069_1988-01-25_final
1988-02-16 09:48:56	ga_ls5t_ard_3-0-0_100077_1988-02-16_final
1988-04-29 09:44:06	ga_ls5t_ard_3-0-0_099079_1988-04-29_final
1989-09-23 11:17:44	ga_ls5t_ard_3-0-0_115077_1989-09-23_final
1990-09-03 09:27:59	ga_ls5t_ard_3-0-0_098080_1990-09-02_final
1990-11-26 10:40:02	ga_ls5t_ard_3-0-0_110076_1990-11-26_final
1991-01-17 10:15:05	ga_ls5t_ard_3-0-0_106073_1991-01-17_final
1991-09-10 09:08:04	ga_ls5t_ard_3-0-0_094082_1991-09-09_final
1991-12-02 11:16:26	ga_ls5t_ard_3-0-0_115077_1991-12-02_final
1992-02-28 10:25:32	ga_ls5t_ard_3-0-0_107074_1992-02-28_final
1993-05-16 10:04:54	ga_ls5t_ard_3-1-0_104073_1993-05-16_final
1994-01-17 09:31:05	ga_ls5t_ard_3-0-0_098084_1994-01-17_final
1994-04-30 09:33:44	ga_ls5t_ard_3-0-0_099079_1994-04-30_final
1994-12-23 10:34:06	ga_ls5t_ard_3-0-0_110076_1994-12-23_final
1995-07-03 08:51:12	ga_ls5t_ard_3-0-0_094086_1995-07-02_final
1995-09-30 10:14:55	ga_ls5t_ard_3-0-0_109074_1995-09-30_final
1995-12-17 10:26:52	ga_ls5t_ard_3-0-0_111073_1995-12-17_final
1996-04-12 09:16:50	ga_ls5t_ard_3-0-0_098079_1996-04-11_final
1996-04-25 10:24:25	ga_ls5t_ard_3-0-0_109076_1996-04-25_final
1996-05-05 09:23:36	ga_ls5t_ard_3-0-0_099077_1996-05-04_final
1996-05-25 10:37:20	ga_ls5t_ard_3-0-0_111073_1996-05-25_final
1996-06-30 10:15:21	ga_ls5t_ard_3-0-0_107075_1996-06-30_final
1997-03-21 09:39:31	ga_ls5t_ard_3-0-0_099077_1997-03-21_final
1998-07-29 09:11:47	ga_ls5t_ard_3-0-0_092086_1998-07-28_final
1998-12-13 10:43:06	ga_ls5t_ard_3-0-0_107081_1998-12-13_final
1998-12-29 10:40:28	ga_ls5t_ard_3-0-0_107074_1998-12-29_final
1999-02-09 11:17:38	ga_ls5t_ard_3-0-0_113074_1999-02-09_final
1999-03-27 09:49:56	ga_ls5t_ard_3-0-0_099072_1999-03-27_final
1999-04-12 09:52:38	ga_ls5t_ard_3-0-0_099079_1999-04-12_final
1999-05-14 09:52:26	ga_ls5t_ard_3-0-0_099079_1999-05-14_final
1999-05-20 10:52:05	ga_ls5t_ard_3-0-0_109074_1999-05-20_final
1999-06-21 10:51:38	ga_ls5t_ard_3-0-0_109074_1999-06-21_final
1999-06-28 09:23:38	ga_ls5t_ard_3-0-0_094086_1999-06-27_final
1999-08-24 10:51:10	ga_ls5t_ard_3-0-0_109074_1999-08-24_final
2003-11-01 09:51:33	ga_ls5t_ard_3-0-0_099078_2003-11-01_final
2003-11-02 10:33:35	ga_ls5t_ard_3-0-0_106075_2003-11-02_final
2004-01-26 10:52:34	ga_ls5t_ard_3-0-0_109074_2004-01-26_final
2004-04-17 10:41:54	ga_ls5t_ard_3-0-0_107076_2004-04-17_final
2004-06-20 10:43:45	ga_ls5t_ard_3-0-0_107076_2004-06-20_final
2004-07-31 10:38:14	ga_ls5t_ard_3-0-0_106075_2004-07-31_final
2004-08-05 10:56:29	ga_ls5t_ard_3-0-0_109074_2004-08-05_final
2004-08-07 10:46:56	ga_ls5t_ard_3-0-0_107081_2004-08-07_final
2005-01-12 10:59:47	ga_ls5t_ard_3-0-0_109074_2005-01-12_final
2005-02-23 10:00:37	ga_ls5t_ard_3-0-0_099079_2005-02-23_final
2005-02-24 10:42:17	ga_ls5t_ard_3-0-0_106075_2005-02-24_final
2005-03-11 10:00:26	ga_ls5t_ard_3-0-0_099078_2005-03-11_final
2005-04-20 10:49:18	ga_ls5t_ard_3-0-0_107076_2005-04-20_final
2005-05-04 11:00:57	ga_ls5t_ard_3-0-0_109074_2005-05-04_final
2005-06-23 10:51:45	ga_ls5t_ard_3-0-0_107081_2005-06-23_final
2005-07-01 11:39:37	ga_ls5t_ard_3-0-0_115077_2005-07-01_final
2005-08-10 10:52:09	ga_ls5t_ard_3-0-0_107081_2005-08-10_final
2006-04-23 10:53:34	ga_ls5t_ard_3-0-0_107075_2006-04-23_final
2006-11-01 10:56:04	ga_ls5t_ard_3-0-0_107075_2006-11-01_final
2007-02-05 10:56:44	ga_ls5t_ard_3-0-0_107075_2007-02-05_final
2007-04-18 11:46:47	ga_ls5t_ard_3-0-0_115077_2007-04-18_final
2007-07-31 10:55:17	ga_ls5t_ard_3-0-0_107075_2007-07-31_final
2007-10-03 10:54:41	ga_ls5t_ard_3-0-0_107075_2007-10-03_final
2008-09-03 10:47:11	ga_ls5t_ard_3-0-0_107075_2008-09-03_final
2008-12-24 10:46:15	ga_ls5t_ard_3-0-0_107075_2008-12-24_final
2009-09-14 10:03:39	ga_ls5t_ard_3-0-0_099079_2009-09-14_final
2009-10-24 10:51:57	ga_ls5t_ard_3-0-0_107075_2009-10-24_final
2009-11-05 11:16:22	ga_ls5t_ard_3-0-0_111074_2009-11-05_final
2009-11-25 10:52:11	ga_ls5t_ard_3-0-0_107075_2009-11-25_final
2011-01-31 10:51:43	ga_ls5t_ard_3-0-0_107075_2011-01-31_final
2011-06-24 10:51:03	ga_ls5t_ard_3-0-0_107075_2011-06-24_final
2011-08-27 10:50:30	ga_ls5t_ard_3-0-0_107075_2011-08-27_final

Return to ga_ls5t_ard_3 whole collection overview

ga_ls5t_ard_3: Geoscience Australia Landsat 5 Thematic Mapper Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years