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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

45 results

Time (local)	Label
1988-01-28 09:15:43	ga_ls5t_ard_3-0-0_095072_1988-01-27_final
1988-02-01 08:54:39	ga_ls5t_ard_3-0-0_091081_1988-01-31_final
1988-03-18 09:10:22	ga_ls5t_ard_3-1-0_093088_1988-03-17_final
1988-12-20 11:06:35	ga_ls5t_ard_3-0-0_112084_1988-12-20_final
1989-03-25 08:40:38	ga_ls5t_ard_3-0-0_089078_1989-03-24_final
1989-10-19 08:36:40	ga_ls5t_ard_3-0-0_089078_1989-10-18_final
1989-11-01 09:42:01	ga_ls5t_ard_3-0-0_100072_1989-11-01_final
1989-12-28 09:32:37	ga_ls5t_ard_3-0-0_099068_1989-12-28_final
1991-09-06 09:33:33	ga_ls5t_ard_3-0-0_098084_1991-09-06_final
1991-09-28 08:57:23	ga_ls5t_ard_3-0-0_092086_1991-09-27_final
1991-10-19 09:10:34	ga_ls5t_ard_3-0-0_095072_1991-10-18_final
1991-11-05 09:55:49	ga_ls5t_ard_3-0-0_102077_1991-11-05_final
1991-12-18 11:15:34	ga_ls5t_ard_3-0-0_115075_1991-12-18_final
1992-04-17 09:31:42	ga_ls5t_ard_3-0-0_098079_1992-04-17_final
1993-09-02 09:33:05	ga_ls5t_ard_3-0-0_099071_1993-09-02_final
1994-03-07 10:12:55	ga_ls5t_ard_3-1-0_105082_1994-03-07_final
1994-06-10 09:23:35	ga_ls5t_ard_3-0-0_098071_1994-06-09_final
1995-01-05 08:24:41	ga_ls5t_ard_3-0-0_089078_1995-01-04_final
1995-02-13 10:04:13	ga_ls5t_ard_3-0-0_106068_1995-02-13_final
1995-02-16 08:58:06	ga_ls5t_ard_3-0-0_095073_1995-02-15_final
1995-02-24 09:45:39	ga_ls5t_ard_3-0-0_103069_1995-02-24_final
1995-06-30 08:17:38	ga_ls5t_ard_3-0-0_089079_1995-06-29_final
1996-07-24 09:27:58	ga_ls5t_ard_3-0-0_099077_1996-07-23_final
1997-01-31 10:32:20	ga_ls5t_ard_3-0-0_108075_1997-01-31_final
1998-12-30 09:42:51	ga_ls5t_ard_3-0-0_098069_1998-12-30_final
1999-02-07 09:49:53	ga_ls5t_ard_3-0-0_099071_1999-02-07_final
1999-04-13 10:32:18	ga_ls5t_ard_3-0-0_106070_1999-04-13_final
1999-09-19 11:29:02	ga_ls5t_ard_3-0-0_115078_1999-09-19_final
2003-08-22 09:46:49	ga_ls5t_ard_3-0-0_098084_2003-08-22_final
2004-01-03 09:12:36	ga_ls5t_ard_3-0-0_092087_2004-01-02_final
2004-01-06 09:36:20	ga_ls5t_ard_3-0-0_097069_2004-01-06_final
2004-03-16 09:02:23	ga_ls5t_ard_3-0-0_091076_2004-03-15_final
2004-06-26 10:07:39	ga_ls5t_ard_3-0-0_101078_2004-06-26_final
2004-10-31 09:25:27	ga_ls5t_ard_3-1-0_094073_2004-10-30_final
2004-11-19 09:54:37	ga_ls5t_ard_3-0-0_099068_2004-11-19_final
2004-12-14 09:50:13	ga_ls5t_ard_3-0-0_098071_2004-12-14_final
2005-04-15 10:27:33	ga_ls5t_ard_3-0-0_104068_2005-04-15_final
2005-09-09 11:02:39	ga_ls5t_ard_3-0-0_109076_2005-09-09_final
2006-02-21 11:26:31	ga_ls5t_ard_3-0-0_112083_2006-02-21_final
2006-04-20 10:25:01	ga_ls5t_ard_3-0-0_102081_2006-04-20_final
2006-12-02 10:12:40	ga_ls5t_ard_3-0-0_100074_2006-12-02_final
2007-04-23 10:22:48	ga_ls5t_ard_3-0-0_102068_2007-04-23_final
2007-04-29 11:30:57	ga_ls5t_ard_3-0-0_112084_2007-04-29_final
2008-12-30 10:07:44	ga_ls5t_ard_3-0-0_101071_2008-12-30_final
2009-01-06 10:18:29	ga_ls5t_ard_3-0-0_102082_2009-01-06_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