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

63 results

Time (local)	Label
1986-08-23 09:25:54	ga_ls5t_ard_3-0-0_098071_1986-08-22_final
1986-08-23 09:29:29	ga_ls5t_ard_3-0-0_098080_1986-08-22_final
1988-05-07 08:58:46	ga_ls5t_ard_3-0-0_091089_1988-05-06_final
1988-09-03 09:04:15	ga_ls5t_ard_3-0-0_092086_1988-09-02_final
1989-03-11 10:04:55	ga_ls5t_ard_3-0-0_103071_1989-03-11_final
1989-08-06 09:40:03	ga_ls5t_ard_3-0-0_099077_1989-08-06_final
1990-04-08 09:53:46	ga_ls5t_ard_3-0-0_102082_1990-04-08_final
1990-06-19 08:58:23	ga_ls5t_ard_3-0-0_094067_1990-06-18_final
1991-04-05 10:27:37	ga_ls5t_ard_3-0-0_108070_1991-04-05_final
1992-03-30 09:43:22	ga_ls5t_ard_3-0-0_100077_1992-03-30_final
1992-09-01 11:04:20	ga_ls5t_ard_3-0-0_113083_1992-09-01_final
1993-03-01 09:39:21	ga_ls5t_ard_3-0-0_100072_1993-03-01_final
1993-03-19 09:29:54	ga_ls5t_ard_3-1-0_098079_1993-03-18_final
1993-07-07 09:42:06	ga_ls5t_ard_3-0-0_100078_1993-07-07_final
1993-07-17 08:42:17	ga_ls5t_ard_3-0-0_090083_1993-07-16_final
1993-08-19 11:04:25	ga_ls5t_ard_3-0-0_113083_1993-08-19_final
1993-08-20 10:03:13	ga_ls5t_ard_3-0-0_104069_1993-08-20_final
1993-09-29 09:19:40	ga_ls5t_ard_3-0-0_096084_1993-09-28_final
1995-08-04 08:50:10	ga_ls5t_ard_3-0-0_094087_1995-08-03_final
1995-08-07 09:17:44	ga_ls5t_ard_3-0-0_099079_1995-08-06_final
1995-08-31 10:04:27	ga_ls5t_ard_3-0-0_107075_1995-08-31_final
1995-11-12 09:55:49	ga_ls5t_ard_3-0-0_106077_1995-11-12_final
1995-11-24 10:23:13	ga_ls5t_ard_3-0-0_110083_1995-11-24_final
1995-12-03 08:40:33	ga_ls5t_ard_3-1-0_093088_1995-12-02_final
1996-10-11 10:27:02	ga_ls5t_ard_3-0-0_108075_1996-10-11_final
1996-11-22 09:28:50	ga_ls5t_ard_3-0-0_098079_1996-11-21_final
1996-12-07 10:23:35	ga_ls5t_ard_3-0-0_107075_1996-12-07_final
1997-03-12 09:45:21	ga_ls5t_ard_3-0-0_100077_1997-03-12_final
1997-08-03 09:50:00	ga_ls5t_ard_3-0-0_100076_1997-08-03_final
1998-06-07 11:14:03	ga_ls5t_ard_3-0-0_112084_1998-06-07_final
1998-07-24 08:50:50	ga_ls5t_ard_3-0-0_089080_1998-07-23_final
1999-06-15 09:48:41	ga_ls5t_ard_3-0-0_099071_1999-06-15_final
1999-08-08 10:51:48	ga_ls5t_ard_3-0-0_109075_1999-08-08_final
2003-07-14 09:33:57	ga_ls5t_ard_3-1-0_097069_2003-07-14_final
2003-11-25 09:01:20	ga_ls5t_ard_3-1-0_091075_2003-11-24_final
2003-12-12 09:48:16	ga_ls5t_ard_3-0-0_098084_2003-12-12_final
2004-01-09 10:12:01	ga_ls5t_ard_3-1-0_102081_2004-01-09_final
2004-01-17 09:24:58	ga_ls5t_ard_3-0-0_094087_2004-01-16_final
2004-04-26 10:37:33	ga_ls5t_ard_3-0-0_106080_2004-04-26_final
2004-09-01 10:39:26	ga_ls5t_ard_3-0-0_106076_2004-09-01_final
2004-11-04 10:40:53	ga_ls5t_ard_3-0-0_106076_2004-11-04_final
2004-12-30 09:50:03	ga_ls5t_ard_3-0-0_098070_2004-12-30_final
2004-12-30 09:54:03	ga_ls5t_ard_3-0-0_098080_2004-12-30_final
2005-02-23 11:39:06	ga_ls5t_ard_3-0-0_115078_2005-02-23_final
2005-04-05 09:54:49	ga_ls5t_ard_3-0-0_098079_2005-04-05_final
2005-06-27 10:25:51	ga_ls5t_ard_3-0-0_103078_2005-06-27_final
2005-09-28 09:55:51	ga_ls5t_ard_3-0-0_098079_2005-09-28_final
2005-10-22 10:44:02	ga_ls5t_ard_3-0-0_106076_2005-10-22_final
2006-06-28 09:08:53	ga_ls5t_ard_3-0-0_089089_2006-06-27_final
2006-11-18 10:02:35	ga_ls5t_ard_3-0-0_098080_2006-11-18_final
2007-02-21 10:56:44	ga_ls5t_ard_3-0-0_107075_2007-02-21_final
2007-02-27 10:19:15	ga_ls5t_ard_3-0-0_101074_2007-02-27_final
2007-07-13 11:07:48	ga_ls5t_ard_3-0-0_109075_2007-07-13_final
2008-04-11 10:08:44	ga_ls5t_ard_3-0-0_100077_2008-04-11_final
2008-08-11 10:39:15	ga_ls5t_ard_3-0-0_106069_2008-08-11_final
2008-09-03 10:47:11	ga_ls5t_ard_3-0-0_107075_2008-09-03_final
2008-09-18 10:04:40	ga_ls5t_ard_3-0-0_100078_2008-09-18_final
2008-09-21 10:34:17	ga_ls5t_ard_3-0-0_105075_2008-09-21_final
2008-11-22 10:45:16	ga_ls5t_ard_3-0-0_107075_2008-11-22_final
2009-11-09 10:52:05	ga_ls5t_ard_3-0-0_107075_2009-11-09_final
2010-04-27 09:08:19	ga_ls5t_ard_3-0-0_090077_2010-04-26_final
2010-09-09 09:17:54	ga_ls5t_ard_3-0-0_091087_2010-09-08_final
2011-09-28 09:11:57	ga_ls5t_ard_3-0-0_091077_2011-09-27_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years