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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

60 results

Time (local)	Label
1988-05-25 08:41:46	ga_ls5t_ard_3-1-0_089077_1988-05-24_final
1988-08-29 08:42:07	ga_ls5t_ard_3-1-0_089077_1988-08-28_final
1989-01-20 08:41:19	ga_ls5t_ard_3-1-0_089077_1989-01-19_final
1989-07-15 08:38:42	ga_ls5t_ard_3-1-0_089077_1989-07-14_final
1989-07-31 08:38:23	ga_ls5t_ard_3-1-0_089077_1989-07-30_final
1990-06-16 08:31:28	ga_ls5t_ard_3-1-0_089077_1990-06-15_final
1990-08-03 08:31:19	ga_ls5t_ard_3-1-0_089077_1990-08-02_final
1990-09-04 08:31:09	ga_ls5t_ard_3-1-0_089077_1990-09-03_final
1991-07-05 08:34:31	ga_ls5t_ard_3-1-0_089077_1991-07-04_final
1991-08-22 08:34:54	ga_ls5t_ard_3-1-0_089077_1991-08-21_final
1992-06-05 08:34:49	ga_ls5t_ard_3-1-0_089077_1992-06-04_final
1992-06-21 08:34:36	ga_ls5t_ard_3-1-0_089077_1992-06-20_final
1992-07-07 08:34:25	ga_ls5t_ard_3-1-0_089077_1992-07-06_final
1993-05-23 08:33:50	ga_ls5t_ard_3-1-0_089077_1993-05-22_final
1993-06-08 08:33:52	ga_ls5t_ard_3-1-0_089077_1993-06-07_final
1993-08-11 08:33:42	ga_ls5t_ard_3-1-0_089077_1993-08-10_final
1994-05-10 08:30:56	ga_ls5t_ard_3-1-0_089077_1994-05-09_final
1994-07-13 08:29:31	ga_ls5t_ard_3-1-0_089077_1994-07-12_final
1994-08-14 08:28:40	ga_ls5t_ard_3-1-0_089077_1994-08-13_final
1995-04-11 08:20:27	ga_ls5t_ard_3-1-0_089077_1995-04-10_final
1995-04-27 08:19:46	ga_ls5t_ard_3-1-0_089077_1995-04-26_final
1995-06-30 08:16:50	ga_ls5t_ard_3-1-0_089077_1995-06-29_final
1995-07-16 08:16:07	ga_ls5t_ard_3-1-0_089077_1995-07-15_final
1995-10-04 08:12:18	ga_ls5t_ard_3-1-0_089077_1995-10-03_final
1996-04-13 08:20:29	ga_ls5t_ard_3-1-0_089077_1996-04-12_final
1996-07-18 08:25:51	ga_ls5t_ard_3-1-0_089077_1996-07-17_final
1996-09-04 08:28:25	ga_ls5t_ard_3-1-0_089077_1996-09-03_final
1996-11-07 08:31:43	ga_ls5t_ard_3-1-0_089077_1996-11-06_final
1997-09-07 08:43:29	ga_ls5t_ard_3-1-0_089077_1997-09-06_final
1997-10-09 08:44:23	ga_ls5t_ard_3-1-0_089077_1997-10-08_final
1998-08-09 08:49:44	ga_ls5t_ard_3-1-0_089077_1998-08-08_final
1998-10-12 08:50:08	ga_ls5t_ard_3-1-0_089077_1998-10-11_final
1998-10-28 08:50:11	ga_ls5t_ard_3-1-0_089077_1998-10-27_final
1999-04-22 08:50:03	ga_ls5t_ard_3-1-0_089077_1999-04-21_final
1999-05-08 08:49:56	ga_ls5t_ard_3-1-0_089077_1999-05-07_final
1999-09-13 08:48:06	ga_ls5t_ard_3-1-0_089077_1999-09-12_final
2004-06-22 08:52:57	ga_ls5t_ard_3-1-0_089077_2004-06-21_final
2004-07-08 08:53:26	ga_ls5t_ard_3-1-0_089077_2004-07-07_final
2004-08-09 08:54:08	ga_ls5t_ard_3-1-0_089077_2004-08-08_final
2004-09-10 08:55:01	ga_ls5t_ard_3-1-0_089077_2004-09-09_final
2004-10-12 08:55:45	ga_ls5t_ard_3-1-0_089077_2004-10-11_final
2004-12-15 08:57:00	ga_ls5t_ard_3-1-0_089077_2004-12-14_final
2005-01-16 08:57:26	ga_ls5t_ard_3-1-0_089077_2005-01-15_final
2005-03-05 08:58:09	ga_ls5t_ard_3-1-0_089077_2005-03-04_final
2005-07-27 08:59:11	ga_ls5t_ard_3-1-0_089077_2005-07-26_final
2005-09-13 08:59:27	ga_ls5t_ard_3-1-0_089077_2005-09-12_final
2006-11-03 09:05:38	ga_ls5t_ard_3-1-0_089077_2006-11-02_final
2007-07-01 09:05:05	ga_ls5t_ard_3-1-0_089077_2007-06-30_final
2007-08-02 09:04:49	ga_ls5t_ard_3-1-0_089077_2007-08-01_final
2008-10-07 08:55:41	ga_ls5t_ard_3-1-0_089077_2008-10-06_final
2008-10-23 08:55:09	ga_ls5t_ard_3-1-0_089077_2008-10-22_final
2009-04-01 08:58:13	ga_ls5t_ard_3-1-0_089077_2009-03-31_final
2009-05-03 08:58:50	ga_ls5t_ard_3-1-0_089077_2009-05-02_final
2009-09-24 09:01:11	ga_ls5t_ard_3-1-0_089077_2009-09-23_final
2010-09-11 09:01:32	ga_ls5t_ard_3-1-0_089077_2010-09-10_final
2010-10-29 09:01:08	ga_ls5t_ard_3-1-0_089077_2010-10-28_final
2011-01-17 09:01:15	ga_ls5t_ard_3-1-0_089077_2011-01-16_final
2011-05-25 09:00:50	ga_ls5t_ard_3-1-0_089077_2011-05-24_final
2011-06-26 09:00:35	ga_ls5t_ard_3-1-0_089077_2011-06-25_final
2011-09-30 08:59:33	ga_ls5t_ard_3-1-0_089077_2011-09-29_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