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

60 results

Time (local)	Label
1987-09-22 09:19:00	ga_ls5t_ard_3-0-0_095086_1987-09-21_final
1987-10-25 09:56:05	ga_ls5t_ard_3-0-0_102069_1987-10-25_final
1987-11-22 10:21:00	ga_ls5t_ard_3-0-0_106068_1987-11-22_final
1987-11-25 10:53:32	ga_ls5t_ard_3-1-0_111072_1987-11-25_final
1988-06-05 10:04:11	ga_ls5t_ard_3-0-0_102082_1988-06-05_final
1988-06-08 10:32:41	ga_ls5t_ard_3-0-0_107076_1988-06-08_final
1988-08-02 10:38:40	ga_ls5t_ard_3-0-0_108075_1988-08-02_final
1988-10-06 09:41:46	ga_ls5t_ard_3-0-0_099072_1988-10-06_final
1989-03-03 09:14:08	ga_ls5t_ard_3-0-0_095067_1989-03-02_final
1989-06-29 10:17:07	ga_ls5t_ard_3-0-0_105075_1989-06-29_final
1989-11-30 10:49:35	ga_ls5t_ard_3-0-0_111073_1989-11-30_final
1989-12-28 09:36:12	ga_ls5t_ard_3-0-0_099077_1989-12-28_final
1990-04-19 09:30:34	ga_ls5t_ard_3-0-0_099070_1990-04-19_final
1990-06-07 10:17:45	ga_ls5t_ard_3-0-0_106080_1990-06-07_final
1990-12-28 10:39:35	ga_ls5t_ard_3-0-0_110074_1990-12-28_final
1991-02-19 09:22:03	ga_ls5t_ard_3-0-0_097078_1991-02-18_final
1991-09-09 09:58:05	ga_ls5t_ard_3-0-0_103068_1991-09-09_final
1991-11-10 10:13:36	ga_ls5t_ard_3-0-0_105075_1991-11-10_final
1992-07-11 09:48:08	ga_ls5t_ard_3-0-0_101076_1992-07-11_final
1992-10-11 08:36:02	ga_ls5t_ard_3-0-0_089085_1992-10-10_final
1994-01-30 10:34:58	ga_ls5t_ard_3-0-0_109074_1994-01-30_final
1996-05-05 11:01:42	ga_ls5t_ard_3-0-0_115075_1996-05-05_final
1996-06-17 10:45:10	ga_ls5t_ard_3-0-0_112074_1996-06-17_final
1996-08-20 09:13:38	ga_ls5t_ard_3-0-0_096084_1996-08-19_final
1997-01-29 10:44:13	ga_ls5t_ard_3-0-0_110074_1997-01-29_final
1997-08-31 10:15:59	ga_ls5t_ard_3-0-0_104077_1997-08-31_final
1997-09-10 10:52:10	ga_ls5t_ard_3-0-0_110074_1997-09-10_final
1998-02-19 10:47:44	ga_ls5t_ard_3-0-0_108084_1998-02-19_final
1998-04-03 10:25:50	ga_ls5t_ard_3-0-0_105074_1998-04-03_final
1998-12-17 10:13:13	ga_ls5t_ard_3-0-0_103068_1998-12-17_final
1999-02-11 09:29:36	ga_ls5t_ard_3-0-0_095082_1999-02-10_final
1999-06-15 09:48:41	ga_ls5t_ard_3-0-0_099071_1999-06-15_final
1999-06-19 11:03:13	ga_ls5t_ard_3-0-0_111072_1999-06-19_final
1999-09-23 11:02:36	ga_ls5t_ard_3-0-0_111074_1999-09-23_final
2003-09-02 11:03:21	ga_ls5t_ard_3-0-0_111074_2003-09-02_final
2004-01-05 10:32:21	ga_ls5t_ard_3-0-0_106070_2004-01-05_final
2004-03-14 10:53:12	ga_ls5t_ard_3-0-0_109075_2004-03-14_final
2004-06-05 09:50:29	ga_ls5t_ard_3-0-0_098083_2004-06-05_final
2004-09-22 10:58:31	ga_ls5t_ard_3-0-0_109076_2004-09-22_final
2005-04-22 10:36:33	ga_ls5t_ard_3-0-0_105075_2005-04-22_final
2005-05-13 09:21:55	ga_ls5t_ard_3-0-0_092089_2005-05-12_final
2005-10-21 09:59:10	ga_ls5t_ard_3-0-0_099072_2005-10-21_final
2005-11-22 10:03:40	ga_ls5t_ard_3-0-0_099082_2005-11-22_final
2006-02-19 11:36:26	ga_ls5t_ard_3-0-0_114077_2006-02-19_final
2006-04-28 09:32:30	ga_ls5t_ard_3-1-0_094073_2006-04-28_final
2006-05-01 10:05:03	ga_ls5t_ard_3-0-0_099077_2006-05-01_final
2006-05-26 09:59:59	ga_ls5t_ard_3-0-0_098079_2006-05-26_final
2006-07-20 10:03:25	ga_ls5t_ard_3-0-0_099070_2006-07-20_final
2006-09-12 11:07:30	ga_ls5t_ard_3-0-0_109074_2006-09-12_final
2006-10-12 11:19:48	ga_ls5t_ard_3-0-0_111073_2006-10-12_final
2007-04-29 09:52:28	ga_ls5t_ard_3-0-0_096085_2007-04-29_final
2007-06-19 10:19:27	ga_ls5t_ard_3-0-0_101077_2007-06-19_final
2008-03-07 09:41:23	ga_ls5t_ard_3-0-0_095084_2008-03-07_final
2009-02-12 09:01:54	ga_ls5t_ard_3-1-0_089089_2009-02-11_final
2009-10-24 09:17:51	ga_ls5t_ard_3-0-0_091087_2009-10-23_final
2009-11-12 11:25:00	ga_ls5t_ard_3-0-0_112080_2009-11-12_final
2009-11-27 09:04:09	ga_ls5t_ard_3-0-0_089083_2009-11-26_final
2010-05-26 10:16:13	ga_ls5t_ard_3-0-0_101077_2010-05-26_final
2010-06-10 11:10:34	ga_ls5t_ard_3-1-0_110074_2010-06-10_final
2011-02-27 10:35:35	ga_ls5t_ard_3-0-0_104081_2011-02-27_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

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