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

57 results

Time (local)	Label
1987-10-13 09:35:10	ga_ls5t_ard_3-0-0_098079_1987-10-13_final
1988-01-02 10:18:15	ga_ls5t_ard_3-0-0_105075_1988-01-02_final
1988-02-06 09:07:42	ga_ls5t_ard_3-0-0_094067_1988-02-05_final
1988-08-10 09:50:00	ga_ls5t_ard_3-0-0_100077_1988-08-10_final
1988-09-17 09:08:58	ga_ls5t_ard_3-0-0_094067_1988-09-16_final
1988-11-24 10:24:35	ga_ls5t_ard_3-0-0_106071_1988-11-24_final
1988-12-26 10:24:18	ga_ls5t_ard_3-0-0_106071_1988-12-26_final
1989-02-18 09:47:16	ga_ls5t_ard_3-0-0_100072_1989-02-18_final
1989-06-04 10:22:14	ga_ls5t_ard_3-0-0_106071_1989-06-04_final
1989-06-26 09:47:02	ga_ls5t_ard_3-0-0_100077_1989-06-26_final
1989-07-02 09:05:53	ga_ls5t_ard_3-0-0_094067_1989-07-01_final
1990-04-06 10:01:17	ga_ls5t_ard_3-0-0_104070_1990-04-06_final
1990-08-06 10:42:18	ga_ls5t_ard_3-0-0_110080_1990-08-06_final
1992-03-20 09:02:25	ga_ls5t_ard_3-0-0_094067_1992-03-19_final
1992-04-21 09:02:08	ga_ls5t_ard_3-0-0_094067_1992-04-20_final
1992-09-12 09:00:23	ga_ls5t_ard_3-0-0_094067_1992-09-11_final
1993-03-14 10:48:15	ga_ls5t_ard_3-0-0_111074_1993-03-14_final
1995-02-03 09:28:46	ga_ls5t_ard_3-0-0_100071_1995-02-02_final
1995-02-09 10:31:07	ga_ls5t_ard_3-0-0_110073_1995-02-09_final
1995-03-13 08:48:33	ga_ls5t_ard_3-0-0_094067_1995-03-12_final
1995-05-16 08:45:49	ga_ls5t_ard_3-0-0_094067_1995-05-15_final
1995-11-09 09:24:57	ga_ls5t_ard_3-0-0_101077_1995-11-08_final
1996-06-09 09:56:29	ga_ls5t_ard_3-0-0_104077_1996-06-09_final
1996-10-19 09:38:47	ga_ls5t_ard_3-0-0_100077_1996-10-19_final
1996-12-12 09:00:17	ga_ls5t_ard_3-0-0_094067_1996-12-11_final
1997-02-18 10:21:09	ga_ls5t_ard_3-0-0_106076_1997-02-18_final
1997-04-04 09:54:23	ga_ls5t_ard_3-0-0_101082_1997-04-04_final
1997-05-18 10:17:51	ga_ls5t_ard_3-0-0_105075_1997-05-18_final
1997-06-02 09:31:56	ga_ls5t_ard_3-0-0_098067_1997-06-02_final
1998-01-16 09:13:43	ga_ls5t_ard_3-0-0_094067_1998-01-15_final
1998-04-06 09:15:06	ga_ls5t_ard_3-0-0_094067_1998-04-05_final
1998-10-24 10:52:34	ga_ls5t_ard_3-0-0_109074_1998-10-24_final
1999-03-12 10:33:02	ga_ls5t_ard_3-0-0_106071_1999-03-12_final
1999-06-07 10:37:46	ga_ls5t_ard_3-0-0_107070_1999-06-07_final
1999-07-14 10:57:37	ga_ls5t_ard_3-1-0_110074_1999-07-14_final
2003-10-29 10:57:57	ga_ls5t_ard_3-0-0_110074_2003-10-29_final
2003-11-30 09:16:44	ga_ls5t_ard_3-0-0_094067_2003-11-29_final
2004-03-05 11:01:43	ga_ls5t_ard_3-0-0_110081_2004-03-05_final
2004-06-18 10:55:14	ga_ls5t_ard_3-0-0_109074_2004-06-18_final
2004-07-20 10:56:10	ga_ls5t_ard_3-0-0_109074_2004-07-20_final
2004-07-27 09:20:49	ga_ls5t_ard_3-0-0_094067_2004-07-26_final
2004-08-23 10:45:23	ga_ls5t_ard_3-0-0_107076_2004-08-23_final
2004-11-25 10:58:59	ga_ls5t_ard_3-0-0_109074_2004-11-25_final
2004-12-01 10:25:14	ga_ls5t_ard_3-0-0_103082_2004-12-01_final
2004-12-02 09:23:39	ga_ls5t_ard_3-0-0_094067_2004-12-01_final
2005-03-21 10:36:24	ga_ls5t_ard_3-0-0_105075_2005-03-21_final
2005-03-31 11:12:45	ga_ls5t_ard_3-0-0_111073_2005-03-31_final
2005-08-19 10:43:38	ga_ls5t_ard_3-0-0_106075_2005-08-19_final
2005-08-28 10:37:30	ga_ls5t_ard_3-0-0_105075_2005-08-28_final
2006-04-28 09:33:18	ga_ls5t_ard_3-0-0_094075_2006-04-28_final
2006-09-21 09:28:32	ga_ls5t_ard_3-0-0_092089_2006-09-20_final
2007-06-22 10:49:30	ga_ls5t_ard_3-0-0_106075_2007-06-22_final
2007-08-15 10:13:05	ga_ls5t_ard_3-0-0_100078_2007-08-15_final
2008-08-07 09:24:24	ga_ls5t_ard_3-0-0_094067_2008-08-06_final
2009-01-23 09:23:42	ga_ls5t_ard_3-0-0_093083_2009-01-22_final
2009-02-15 09:24:06	ga_ls5t_ard_3-0-0_094067_2009-02-14_final
2011-02-09 10:42:45	ga_ls5t_ard_3-1-0_106068_2011-02-09_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