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

55 results

Time (local)	Label
1989-07-25 09:11:36	ga_ls5t_ard_3-0-0_095067_1989-07-24_final
1989-10-04 09:16:14	ga_ls5t_ard_3-0-0_096067_1989-10-03_final
1990-08-29 09:04:17	ga_ls5t_ard_3-0-0_095067_1990-08-28_final
1991-02-14 09:06:37	ga_ls5t_ard_3-0-0_094086_1991-02-13_final
1991-04-13 09:41:35	ga_ls5t_ard_3-0-0_100078_1991-04-13_final
1991-05-12 09:06:47	ga_ls5t_ard_3-0-0_095067_1991-05-11_final
1991-12-29 09:14:55	ga_ls5t_ard_3-0-0_096067_1991-12-28_final
1992-01-04 08:41:45	ga_ls5t_ard_3-0-0_090077_1992-01-03_final
1992-09-30 10:32:07	ga_ls5t_ard_3-0-0_108081_1992-09-30_final
1992-10-05 09:06:03	ga_ls5t_ard_3-0-0_095067_1992-10-04_final
1993-01-17 10:01:30	ga_ls5t_ard_3-0-0_103082_1993-01-17_final
1993-05-08 09:13:02	ga_ls5t_ard_3-0-0_096067_1993-05-07_final
1993-06-25 09:13:03	ga_ls5t_ard_3-0-0_096067_1993-06-24_final
1994-01-17 09:24:18	ga_ls5t_ard_3-0-0_098067_1994-01-16_final
1994-04-09 10:49:39	ga_ls5t_ard_3-1-0_112067_1994-04-09_final
1994-04-16 09:17:37	ga_ls5t_ard_3-0-0_097069_1994-04-15_final
1994-06-08 09:38:47	ga_ls5t_ard_3-0-0_100078_1994-06-08_final
1994-08-24 09:01:31	ga_ls5t_ard_3-0-0_095067_1994-08-23_final
1994-10-18 09:06:10	ga_ls5t_ard_3-0-0_096067_1994-10-17_final
1995-05-30 08:57:32	ga_ls5t_ard_3-0-0_096067_1995-05-29_final
1995-06-15 08:56:47	ga_ls5t_ard_3-0-0_096067_1995-06-14_final
1995-09-10 08:59:47	ga_ls5t_ard_3-1-0_097069_1995-09-09_final
1995-12-24 10:31:10	ga_ls5t_ard_3-1-0_112067_1995-12-24_final
1997-01-04 09:07:34	ga_ls5t_ard_3-0-0_095067_1997-01-03_final
1997-05-12 09:12:39	ga_ls5t_ard_3-0-0_095067_1997-05-11_final
1997-10-10 09:23:41	ga_ls5t_ard_3-0-0_096067_1997-10-09_final
1997-12-12 10:26:54	ga_ls5t_ard_3-0-0_105082_1997-12-12_final
1998-03-08 09:46:00	ga_ls5t_ard_3-0-0_099068_1998-03-08_final
1998-08-01 09:40:42	ga_ls5t_ard_3-0-0_097081_1998-08-01_final
1998-08-03 09:22:46	ga_ls5t_ard_3-0-0_095067_1998-08-02_final
1998-11-30 09:29:35	ga_ls5t_ard_3-0-0_096067_1998-11-29_final
1999-04-23 09:29:19	ga_ls5t_ard_3-0-0_096067_1999-04-22_final
1999-09-12 09:44:33	ga_ls5t_ard_3-0-0_098079_1999-09-12_final
2004-02-17 10:14:47	ga_ls5t_ard_3-0-0_103072_2004-02-17_final
2004-10-12 08:55:45	ga_ls5t_ard_3-1-0_089077_2004-10-11_final
2004-12-28 10:05:11	ga_ls5t_ard_3-0-0_100077_2004-12-28_final
2005-06-03 09:31:52	ga_ls5t_ard_3-0-0_095067_2005-06-03_final
2005-07-05 09:32:02	ga_ls5t_ard_3-0-0_095067_2005-07-05_final
2005-10-25 09:32:27	ga_ls5t_ard_3-0-0_095067_2005-10-25_final
2005-11-21 09:19:59	ga_ls5t_ard_3-0-0_092081_2005-11-20_final
2006-05-20 10:37:47	ga_ls5t_ard_3-0-0_104081_2006-05-20_final
2006-10-30 09:26:44	ga_ls5t_ard_3-1-0_093068_2006-10-29_final
2007-03-21 09:39:19	ga_ls5t_ard_3-0-0_095067_2007-03-21_final
2007-04-22 09:39:09	ga_ls5t_ard_3-0-0_095067_2007-04-22_final
2007-05-15 09:45:07	ga_ls5t_ard_3-0-0_096067_2007-05-15_final
2007-05-31 09:44:54	ga_ls5t_ard_3-0-0_096067_2007-05-31_final
2007-08-28 09:37:38	ga_ls5t_ard_3-0-0_095067_2007-08-28_final
2008-08-21 09:36:22	ga_ls5t_ard_3-0-0_096067_2008-08-21_final
2008-09-18 10:04:40	ga_ls5t_ard_3-0-0_100078_2008-09-18_final
2008-11-02 09:27:53	ga_ls5t_ard_3-0-0_095067_2008-11-01_final
2008-11-25 09:34:11	ga_ls5t_ard_3-0-0_096067_2008-11-25_final
2009-01-27 10:32:23	ga_ls5t_ard_3-0-0_105069_2009-01-27_final
2009-03-10 09:30:50	ga_ls5t_ard_3-0-0_095067_2009-03-10_final
2009-05-09 09:57:34	ga_ls5t_ard_3-0-0_099069_2009-05-09_final
2010-10-14 09:40:33	ga_ls5t_ard_3-0-0_096067_2010-10-14_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