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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

62 results

Time (local)	Label
1987-05-29 09:39:17	ga_ls5t_ard_3-0-0_099082_1987-05-29_final
1987-10-08 10:53:25	ga_ls5t_ard_3-0-0_111074_1987-10-08_final
1988-01-25 10:22:26	ga_ls5t_ard_3-0-0_106069_1988-01-25_final
1988-02-17 08:56:55	ga_ls5t_ard_3-0-0_091086_1988-02-16_final
1988-03-09 10:52:10	ga_ls5t_ard_3-0-0_110080_1988-03-09_final
1988-07-11 09:40:25	ga_ls5t_ard_3-0-0_098084_1988-07-11_final
1988-12-31 10:43:38	ga_ls5t_ard_3-0-0_109073_1988-12-31_final
1989-01-12 11:08:39	ga_ls5t_ard_3-0-0_113074_1989-01-12_final
1989-02-08 10:49:31	ga_ls5t_ard_3-0-0_110073_1989-02-08_final
1989-06-03 09:38:59	ga_ls5t_ard_3-0-0_099071_1989-06-03_final
1989-06-24 09:56:13	ga_ls5t_ard_3-0-0_102069_1989-06-24_final
1989-11-01 09:46:25	ga_ls5t_ard_3-0-0_100083_1989-11-01_final
1990-08-24 08:53:45	ga_ls5t_ard_3-0-0_092087_1990-08-23_final
1990-10-24 09:58:58	ga_ls5t_ard_3-0-0_103081_1990-10-24_final
1991-04-21 10:32:19	ga_ls5t_ard_3-0-0_108081_1991-04-21_final
1991-07-03 08:46:27	ga_ls5t_ard_3-0-0_091076_1991-07-02_final
1992-06-26 08:57:30	ga_ls5t_ard_3-0-0_092088_1992-06-25_final
1993-02-22 11:14:22	ga_ls5t_ard_3-0-0_115078_1993-02-22_final
1993-03-26 09:35:16	ga_ls5t_ard_3-0-0_099077_1993-03-26_final
1993-03-31 09:50:17	ga_ls5t_ard_3-1-0_102068_1993-03-31_final
1993-04-29 10:58:05	ga_ls5t_ard_3-0-0_113067_1993-04-29_final
1993-10-01 10:42:35	ga_ls5t_ard_3-0-0_110075_1993-10-01_final
1994-01-02 10:10:36	ga_ls5t_ard_3-0-0_105074_1994-01-02_final
1994-06-20 08:25:57	ga_ls5t_ard_3-0-0_088082_1994-06-19_final
1995-01-27 09:25:15	ga_ls5t_ard_3-0-0_099077_1995-01-26_final
1995-05-21 10:43:01	ga_ls5t_ard_3-0-0_113067_1995-05-21_final
1995-06-18 09:29:09	ga_ls5t_ard_3-0-0_101071_1995-06-17_final
1995-06-27 09:27:21	ga_ls5t_ard_3-0-0_100083_1995-06-26_final
1995-07-21 08:38:25	ga_ls5t_ard_3-0-0_092087_1995-07-20_final
1995-08-06 08:37:19	ga_ls5t_ard_3-0-0_092086_1995-08-05_final
1995-12-10 10:24:33	ga_ls5t_ard_3-0-0_110084_1995-12-10_final
1995-12-13 09:14:00	ga_ls5t_ard_3-0-0_099077_1995-12-12_final
1995-12-16 09:41:56	ga_ls5t_ard_3-0-0_104069_1995-12-16_final
1996-05-30 09:18:51	ga_ls5t_ard_3-0-0_098077_1996-05-29_final
1996-07-26 09:18:54	ga_ls5t_ard_3-0-0_097085_1996-07-25_final
1996-08-01 08:42:56	ga_ls5t_ard_3-0-0_091087_1996-07-31_final
1996-08-05 09:52:56	ga_ls5t_ard_3-0-0_103076_1996-08-05_final
1996-08-06 10:38:14	ga_ls5t_ard_3-0-0_110081_1996-08-06_final
1997-02-12 09:17:06	ga_ls5t_ard_3-0-0_096071_1997-02-11_final
1997-07-09 09:56:08	ga_ls5t_ard_3-0-0_101078_1997-07-09_final
1998-01-18 10:42:41	ga_ls5t_ard_3-0-0_108073_1998-01-18_final
1998-09-26 08:52:56	ga_ls5t_ard_3-0-0_089084_1998-09-25_final
1998-12-13 10:41:30	ga_ls5t_ard_3-0-0_107077_1998-12-13_final
1998-12-18 10:58:54	ga_ls5t_ard_3-0-0_110074_1998-12-18_final
2003-07-27 10:42:58	ga_ls5t_ard_3-0-0_108071_2003-07-27_final
2003-08-28 10:45:32	ga_ls5t_ard_3-0-0_108076_2003-08-28_final
2003-12-15 10:14:25	ga_ls5t_ard_3-0-0_103072_2003-12-15_final
2004-02-22 10:33:21	ga_ls5t_ard_3-0-0_106072_2004-02-22_final
2004-05-19 10:40:25	ga_ls5t_ard_3-0-0_107070_2004-05-19_final
2004-09-08 09:10:07	ga_ls5t_ard_3-0-0_091084_2004-09-07_final
2004-11-03 09:55:37	ga_ls5t_ard_3-0-0_099071_2004-11-03_final
2005-05-10 10:23:06	ga_ls5t_ard_3-0-0_103072_2005-05-10_final
2005-07-31 10:12:36	ga_ls5t_ard_3-0-0_101075_2005-07-31_final
2007-01-15 10:35:19	ga_ls5t_ard_3-0-0_104068_2007-01-15_final
2007-04-24 11:09:15	ga_ls5t_ard_3-0-0_109076_2007-04-24_final
2007-05-31 09:46:06	ga_ls5t_ard_3-0-0_096070_2007-05-31_final
2008-01-22 10:08:18	ga_ls5t_ard_3-0-0_100072_2008-01-22_final
2008-02-21 10:19:45	ga_ls5t_ard_3-0-0_102071_2008-02-21_final
2009-08-31 09:53:30	ga_ls5t_ard_3-0-0_097085_2009-08-31_final
2010-04-14 09:37:42	ga_ls5t_ard_3-0-0_095073_2010-04-14_final
2010-06-01 11:14:23	ga_ls5t_ard_3-1-0_111068_2010-06-01_final
2011-04-24 09:47:02	ga_ls5t_ard_3-0-0_096084_2011-04-24_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

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