Search ga_ls5t_ard_3 whole collection

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

49 results

Time (local)	Label
1988-06-27 09:24:25	ga_ls5t_ard_3-0-0_096075_1988-06-26_final
1989-06-28 11:13:33	ga_ls5t_ard_3-0-0_114077_1989-06-28_final
1989-08-14 10:31:17	ga_ls5t_ard_3-0-0_107082_1989-08-14_final
1990-05-14 11:02:06	ga_ls5t_ard_3-0-0_114067_1990-05-14_final
1990-08-18 11:01:47	ga_ls5t_ard_3-0-0_114067_1990-08-18_final
1991-05-17 11:04:16	ga_ls5t_ard_3-0-0_114067_1991-05-17_final
1992-08-11 10:39:45	ga_ls5t_ard_3-0-0_110067_1992-08-11_final
1993-05-22 11:04:20	ga_ls5t_ard_3-0-0_114067_1993-05-22_final
1993-06-15 10:21:18	ga_ls5t_ard_3-0-0_106083_1993-06-15_final
1993-09-24 08:58:20	ga_ls5t_ard_3-0-0_093077_1993-09-23_final
1994-11-12 10:37:59	ga_ls5t_ard_3-0-0_111067_1994-11-12_final
1996-12-11 09:59:28	ga_ls5t_ard_3-0-0_103076_1996-12-11_final
1997-04-10 10:55:13	ga_ls5t_ard_3-0-0_111079_1997-04-10_final
1997-04-26 10:51:23	ga_ls5t_ard_3-0-0_111068_1997-04-26_final
1997-05-05 10:45:07	ga_ls5t_ard_3-0-0_110067_1997-05-05_final
1998-03-20 10:15:18	ga_ls5t_ard_3-0-0_103079_1998-03-20_final
1998-04-05 10:12:18	ga_ls5t_ard_3-0-0_103071_1998-04-05_final
1998-09-11 09:33:18	ga_ls5t_ard_3-0-0_096077_1998-09-11_final
1998-10-06 11:06:55	ga_ls5t_ard_3-0-0_111079_1998-10-06_final
1998-10-15 10:55:55	ga_ls5t_ard_3-0-0_110067_1998-10-15_final
1999-03-07 10:17:46	ga_ls5t_ard_3-0-0_103079_1999-03-07_final
1999-05-02 11:06:46	ga_ls5t_ard_3-0-0_111079_1999-05-02_final
1999-06-19 11:06:01	ga_ls5t_ard_3-0-0_111079_1999-06-19_final
1999-07-07 09:15:49	ga_ls5t_ard_3-0-0_093082_1999-07-06_final
1999-09-23 11:04:36	ga_ls5t_ard_3-0-0_111079_1999-09-23_final
2003-07-31 10:21:31	ga_ls5t_ard_3-0-0_104079_2003-07-31_final
2004-02-17 10:17:34	ga_ls5t_ard_3-0-0_103079_2004-02-17_final
2004-05-12 10:39:14	ga_ls5t_ard_3-0-0_106083_2004-05-12_final
2004-08-19 11:06:48	ga_ls5t_ard_3-0-0_111068_2004-08-19_final
2004-09-04 11:07:14	ga_ls5t_ard_3-0-0_111068_2004-09-04_final
2005-04-27 09:13:26	ga_ls5t_ard_3-0-0_092068_2005-04-26_final
2005-07-21 11:15:54	ga_ls5t_ard_3-0-0_111079_2005-07-21_final
2006-04-14 09:23:31	ga_ls5t_ard_3-0-0_092082_2006-04-13_final
2007-06-15 10:45:50	ga_ls5t_ard_3-0-0_105081_2007-06-15_final
2007-07-08 10:52:29	ga_ls5t_ard_3-0-0_106083_2007-07-08_final
2007-08-17 11:35:11	ga_ls5t_ard_3-0-0_114067_2007-08-17_final
2008-11-18 09:31:46	ga_ls5t_ard_3-0-0_095077_2008-11-18_final
2009-01-26 09:55:05	ga_ls5t_ard_3-0-0_098084_2009-01-26_final
2009-02-20 09:48:21	ga_ls5t_ard_3-0-0_097081_2009-02-20_final
2009-04-02 11:20:00	ga_ls5t_ard_3-0-0_112076_2009-04-02_final
2009-04-29 09:25:29	ga_ls5t_ard_3-0-0_093082_2009-04-28_final
2009-08-06 11:31:01	ga_ls5t_ard_3-0-0_114067_2009-08-06_final
2010-01-25 10:23:41	ga_ls5t_ard_3-0-0_102080_2010-01-25_final
2010-01-26 09:28:52	ga_ls5t_ard_3-0-0_093082_2010-01-25_final
2010-02-04 09:21:08	ga_ls5t_ard_3-0-0_092078_2010-02-03_final
2010-07-19 11:14:11	ga_ls5t_ard_3-0-0_111068_2010-07-19_final
2011-01-16 11:35:45	ga_ls5t_ard_3-0-0_114077_2011-01-16_final
2011-04-30 10:48:24	ga_ls5t_ard_3-0-0_106083_2011-04-30_final
2011-10-12 09:26:05	ga_ls5t_ard_3-0-0_093082_2011-10-11_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years