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

68 results

Time (local)	Label
1987-10-22 09:25:08	ga_ls5t_ard_3-0-0_097069_1987-10-21_final
1987-10-24 10:53:17	ga_ls5t_ard_3-0-0_111073_1987-10-24_final
1987-12-08 10:22:01	ga_ls5t_ard_3-0-0_106070_1987-12-08_final
1988-06-26 08:43:08	ga_ls5t_ard_3-0-0_089080_1988-06-25_final
1988-08-19 09:44:39	ga_ls5t_ard_3-0-0_099079_1988-08-19_final
1989-03-05 10:44:12	ga_ls5t_ard_3-0-0_109076_1989-03-05_final
1989-07-11 10:42:23	ga_ls5t_ard_3-0-0_109077_1989-07-11_final
1989-08-24 09:25:41	ga_ls5t_ard_3-0-0_097073_1989-08-23_final
1989-12-12 09:33:53	ga_ls5t_ard_3-0-0_099070_1989-12-12_final
1990-10-13 10:12:23	ga_ls5t_ard_3-0-0_106068_1990-10-13_final
1990-12-16 10:17:00	ga_ls5t_ard_3-0-0_106080_1990-12-16_final
1991-11-06 09:00:36	ga_ls5t_ard_3-0-0_093078_1991-11-05_final
1991-11-12 10:04:02	ga_ls5t_ard_3-0-0_103082_1991-11-12_final
1992-02-08 10:53:04	ga_ls5t_ard_3-0-0_111081_1992-02-08_final
1992-02-09 09:55:51	ga_ls5t_ard_3-0-0_102077_1992-02-09_final
1992-02-19 08:57:36	ga_ls5t_ard_3-0-0_092086_1992-02-18_final
1992-04-06 09:47:30	ga_ls5t_ard_3-0-0_101072_1992-04-06_final
1992-05-10 09:37:39	ga_ls5t_ard_3-0-0_099079_1992-05-10_final
1992-05-26 09:34:19	ga_ls5t_ard_3-0-0_099071_1992-05-26_final
1992-09-25 10:10:54	ga_ls5t_ard_3-0-0_105074_1992-09-25_final
1992-12-04 09:34:18	ga_ls5t_ard_3-0-0_099077_1992-12-04_final
1993-03-30 09:08:36	ga_ls5t_ard_3-0-0_095072_1993-03-29_final
1993-04-08 09:02:52	ga_ls5t_ard_3-0-0_094073_1993-04-07_final
1993-08-27 10:14:34	ga_ls5t_ard_3-0-0_105082_1993-08-27_final
1993-09-08 08:57:12	ga_ls5t_ard_3-0-0_093074_1993-09-07_final
1993-11-16 09:20:06	ga_ls5t_ard_3-0-0_096086_1993-11-15_final
1993-12-01 08:36:48	ga_ls5t_ard_3-0-0_089086_1993-11-30_final
1994-05-09 09:27:22	ga_ls5t_ard_3-0-0_098079_1994-05-08_final
1994-05-12 09:59:25	ga_ls5t_ard_3-0-0_103082_1994-05-12_final
1994-07-02 08:47:57	ga_ls5t_ard_3-0-0_092076_1994-07-01_final
1994-10-20 10:37:00	ga_ls5t_ard_3-0-0_110078_1994-10-20_final
1995-01-27 09:26:51	ga_ls5t_ard_3-0-0_099081_1995-01-26_final
1995-04-17 09:18:48	ga_ls5t_ard_3-0-0_099069_1995-04-16_final
1995-06-17 08:49:55	ga_ls5t_ard_3-0-0_094081_1995-06-16_final
1995-08-31 08:31:34	ga_ls5t_ard_3-0-0_091090_1995-08-30_final
1995-09-08 09:18:14	ga_ls5t_ard_3-1-0_099084_1995-09-07_final
1995-10-30 10:29:13	ga_ls5t_ard_3-0-0_111083_1995-10-30_final
1995-11-27 10:51:01	ga_ls5t_ard_3-0-0_115075_1995-11-27_final
1995-12-16 09:41:56	ga_ls5t_ard_3-0-0_104069_1995-12-16_final
1996-02-09 08:16:43	ga_ls5t_ard_3-0-0_089078_1996-02-08_final
1996-07-01 09:20:35	ga_ls5t_ard_3-0-0_098077_1996-06-30_final
1996-08-20 09:13:38	ga_ls5t_ard_3-0-0_096084_1996-08-19_final
1996-09-26 09:29:26	ga_ls5t_ard_3-0-0_099072_1996-09-25_final
1997-12-09 09:52:19	ga_ls5t_ard_3-0-0_100073_1997-12-09_final
1998-02-19 10:47:20	ga_ls5t_ard_3-0-0_108083_1998-02-19_final
1998-09-24 10:43:47	ga_ls5t_ard_3-0-0_107083_1998-09-24_final
1998-09-26 08:50:56	ga_ls5t_ard_3-0-0_089079_1998-09-25_final
1999-01-16 08:50:41	ga_ls5t_ard_3-0-0_089078_1999-01-15_final
1999-05-04 09:13:31	ga_ls5t_ard_3-0-0_093074_1999-05-03_final
1999-06-23 10:42:27	ga_ls5t_ard_3-0-0_107082_1999-06-23_final
1999-10-31 10:23:16	ga_ls5t_ard_3-0-0_105069_1999-10-31_final
2003-07-28 09:45:47	ga_ls5t_ard_3-0-0_099067_2003-07-28_final
2003-12-03 09:49:38	ga_ls5t_ard_3-0-0_099072_2003-12-03_final
2004-04-03 08:51:00	ga_ls5t_ard_3-0-0_089078_2004-04-02_final
2004-11-22 10:25:36	ga_ls5t_ard_3-0-0_104068_2004-11-22_final
2005-01-05 10:51:56	ga_ls5t_ard_3-0-0_108070_2005-01-05_final
2005-09-26 10:07:49	ga_ls5t_ard_3-0-0_100078_2005-09-26_final
2005-10-30 11:33:27	ga_ls5t_ard_3-0-0_114076_2005-10-30_final
2006-02-11 10:43:38	ga_ls5t_ard_3-0-0_106069_2006-02-11_final
2007-01-25 11:12:03	ga_ls5t_ard_3-0-0_110067_2007-01-25_final
2007-06-01 10:33:43	ga_ls5t_ard_3-0-0_103081_2007-06-01_final
2007-09-19 09:05:59	ga_ls5t_ard_3-0-0_089081_2007-09-18_final
2008-11-30 09:57:41	ga_ls5t_ard_3-0-0_099079_2008-11-30_final
2008-12-10 08:55:47	ga_ls5t_ard_3-0-0_089078_2008-12-09_final
2009-04-03 10:26:23	ga_ls5t_ard_3-0-0_103081_2009-04-03_final
2009-12-09 09:25:48	ga_ls5t_ard_3-0-0_093075_2009-12-08_final
2011-09-06 09:49:23	ga_ls5t_ard_3-0-0_097077_2011-09-06_final
2011-11-17 09:01:57	ga_ls5t_ard_3-0-0_089085_2011-11-16_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