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
1987-09-11 09:30:30	ga_ls5t_ard_3-0-0_098069_1987-09-11_final
1987-11-09 09:12:21	ga_ls5t_ard_3-0-0_095067_1987-11-08_final
1988-06-16 09:41:18	ga_ls5t_ard_3-0-0_099071_1988-06-16_final
1988-12-09 09:41:33	ga_ls5t_ard_3-0-0_099072_1988-12-09_final
1989-01-14 10:55:50	ga_ls5t_ard_3-0-0_111073_1989-01-14_final
1989-03-20 09:59:30	ga_ls5t_ard_3-0-0_102074_1989-03-20_final
1989-12-16 09:07:52	ga_ls5t_ard_3-0-0_095067_1989-12-15_final
1989-12-24 10:03:03	ga_ls5t_ard_3-0-0_103082_1989-12-24_final
1990-07-29 09:48:31	ga_ls5t_ard_3-0-0_102069_1990-07-29_final
1990-08-29 09:04:17	ga_ls5t_ard_3-0-0_095067_1990-08-28_final
1991-04-16 10:10:57	ga_ls5t_ard_3-0-0_105074_1991-04-16_final
1991-04-26 10:47:44	ga_ls5t_ard_3-0-0_111073_1991-04-26_final
1991-10-31 09:34:27	ga_ls5t_ard_3-0-0_099070_1991-10-31_final
1991-12-10 08:50:57	ga_ls5t_ard_3-0-0_091084_1991-12-09_final
1994-04-07 09:27:58	ga_ls5t_ard_3-0-0_098079_1994-04-06_final
1994-05-04 09:04:08	ga_ls5t_ard_3-0-0_095067_1994-05-03_final
1994-05-16 09:33:02	ga_ls5t_ard_3-0-0_099078_1994-05-16_final
1994-10-09 10:57:54	ga_ls5t_ard_3-0-0_113083_1994-10-09_final
1996-04-23 08:54:11	ga_ls5t_ard_3-0-0_095067_1996-04-22_final
1996-05-09 10:36:25	ga_ls5t_ard_3-0-0_111073_1996-05-09_final
1996-06-19 10:32:55	ga_ls5t_ard_3-0-0_110074_1996-06-19_final
1996-12-31 09:33:18	ga_ls5t_ard_3-0-0_099070_1996-12-31_final
1997-01-26 10:13:11	ga_ls5t_ard_3-0-0_105074_1997-01-26_final
1997-04-12 10:41:19	ga_ls5t_ard_3-0-0_109075_1997-04-12_final
1997-07-28 08:48:23	ga_ls5t_ard_3-0-0_090077_1997-07-27_final
1997-11-15 10:41:34	ga_ls5t_ard_3-0-0_108074_1997-11-15_final
1998-07-29 10:45:53	ga_ls5t_ard_3-0-0_108074_1998-07-29_final
2003-08-17 11:05:04	ga_ls5t_ard_3-0-0_111079_2003-08-17_final
2003-12-10 09:57:48	ga_ls5t_ard_3-0-0_100077_2003-12-10_final
2004-01-27 09:58:32	ga_ls5t_ard_3-0-0_100078_2004-01-27_final
2004-05-30 10:22:11	ga_ls5t_ard_3-0-0_104070_2004-05-30_final
2004-08-30 10:50:57	ga_ls5t_ard_3-0-0_108074_2004-08-30_final
2004-11-11 10:46:46	ga_ls5t_ard_3-0-0_107075_2004-11-11_final
2004-12-05 11:37:54	ga_ls5t_ard_3-0-0_115078_2004-12-05_final
2004-12-09 09:29:59	ga_ls5t_ard_3-1-0_095067_2004-12-08_final
2004-12-15 10:35:05	ga_ls5t_ard_3-0-0_105075_2004-12-15_final
2004-12-25 09:32:38	ga_ls5t_ard_3-0-0_095073_2004-12-25_final
2005-01-12 10:59:47	ga_ls5t_ard_3-0-0_109074_2005-01-12_final
2005-02-17 10:36:00	ga_ls5t_ard_3-0-0_105075_2005-02-17_final
2005-03-15 11:13:02	ga_ls5t_ard_3-0-0_111074_2005-03-15_final
2005-07-25 10:49:37	ga_ls5t_ard_3-0-0_107075_2005-07-25_final
2005-10-25 09:32:27	ga_ls5t_ard_3-0-0_095067_2005-10-25_final
2006-02-06 10:25:22	ga_ls5t_ard_3-0-0_103070_2006-02-06_final
2006-04-09 10:41:23	ga_ls5t_ard_3-0-0_105076_2006-04-09_final
2006-04-24 09:59:34	ga_ls5t_ard_3-0-0_098079_2006-04-24_final
2006-08-25 09:37:57	ga_ls5t_ard_3-0-0_095067_2006-08-25_final
2006-12-10 09:24:06	ga_ls5t_ard_3-0-0_092076_2006-12-09_final
2007-02-01 09:39:22	ga_ls5t_ard_3-0-0_095067_2007-02-01_final
2007-04-06 09:39:15	ga_ls5t_ard_3-0-0_095067_2007-04-06_final
2007-04-12 10:44:37	ga_ls5t_ard_3-0-0_105076_2007-04-12_final
2007-04-17 09:29:02	ga_ls5t_ard_3-0-0_092088_2007-04-16_final
2007-05-30 10:44:07	ga_ls5t_ard_3-0-0_105076_2007-05-30_final
2009-08-29 10:02:38	ga_ls5t_ard_3-0-0_099077_2009-08-29_final
2009-10-04 09:34:23	ga_ls5t_ard_3-0-0_095067_2009-10-04_final
2009-10-25 11:32:01	ga_ls5t_ard_3-0-0_114067_2009-10-25_final
2010-04-07 09:31:32	ga_ls5t_ard_3-0-0_094073_2010-04-07_final
2011-03-28 10:00:57	ga_ls5t_ard_3-0-0_099072_2011-03-28_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