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
1987-10-31 11:02:23	ga_ls5t_ard_3-0-0_112080_1987-10-31_final
1988-01-11 10:15:00	ga_ls5t_ard_3-0-0_104082_1988-01-11_final
1988-02-09 09:38:39	ga_ls5t_ard_3-0-0_099067_1988-02-09_final
1988-11-27 09:15:00	ga_ls5t_ard_3-0-0_095067_1988-11-26_final
1988-12-20 09:22:55	ga_ls5t_ard_3-0-0_096072_1988-12-19_final
1989-01-20 10:22:11	ga_ls5t_ard_3-0-0_105082_1989-01-20_final
1990-03-22 09:04:42	ga_ls5t_ard_3-0-0_095067_1990-03-21_final
1990-05-13 08:49:07	ga_ls5t_ard_3-0-0_091090_1990-05-12_final
1990-12-19 09:03:55	ga_ls5t_ard_3-0-0_095067_1990-12-18_final
1991-01-19 10:01:59	ga_ls5t_ard_3-0-0_104071_1991-01-19_final
1991-06-06 10:42:42	ga_ls5t_ard_3-0-0_110074_1991-06-06_final
1991-09-15 09:25:51	ga_ls5t_ard_3-0-0_097080_1991-09-14_final
1993-07-24 08:48:27	ga_ls5t_ard_3-0-0_091083_1993-07-23_final
1994-06-25 08:44:46	ga_ls5t_ard_3-0-0_091083_1994-06-24_final
1994-07-07 09:02:47	ga_ls5t_ard_3-0-0_095067_1994-07-06_final
1994-11-16 08:38:14	ga_ls5t_ard_3-0-0_091077_1994-11-15_final
1995-01-31 10:36:52	ga_ls5t_ard_3-1-0_111071_1995-01-31_final
1995-02-07 09:02:17	ga_ls5t_ard_3-0-0_096067_1995-02-06_final
1995-07-28 08:36:18	ga_ls5t_ard_3-0-0_093067_1995-07-27_final
1996-01-31 10:03:10	ga_ls5t_ard_3-0-0_106083_1996-01-31_final
1996-08-29 09:01:10	ga_ls5t_ard_3-0-0_095067_1996-08-28_final
1996-09-12 09:15:07	ga_ls5t_ard_3-1-0_097069_1996-09-11_final
1997-09-28 09:01:26	ga_ls5t_ard_3-1-0_092074_1997-09-27_final
1997-11-30 09:59:52	ga_ls5t_ard_3-0-0_101077_1997-11-30_final
1997-12-10 10:34:49	ga_ls5t_ard_3-0-0_107071_1997-12-10_final
1998-01-10 09:54:40	ga_ls5t_ard_3-0-0_100077_1998-01-10_final
1998-01-26 09:55:01	ga_ls5t_ard_3-0-0_100077_1998-01-26_final
1998-09-20 09:29:12	ga_ls5t_ard_3-0-0_095082_1998-09-19_final
1998-10-10 09:05:18	ga_ls5t_ard_3-0-0_091084_1998-10-09_final
1999-02-08 08:59:51	ga_ls5t_ard_3-0-0_090085_1999-02-07_final
1999-11-14 10:40:19	ga_ls5t_ard_3-0-0_107082_1999-11-14_final
2003-07-20 09:02:34	ga_ls5t_ard_3-0-0_091083_2003-07-19_final
2004-01-15 09:29:21	ga_ls5t_ard_3-0-0_096067_2004-01-14_final
2004-03-19 09:32:05	ga_ls5t_ard_3-0-0_096073_2004-03-19_final
2004-05-29 09:38:30	ga_ls5t_ard_3-1-0_097069_2004-05-29_final
2004-07-18 09:26:48	ga_ls5t_ard_3-0-0_095067_2004-07-17_final
2004-11-25 09:17:42	ga_ls5t_ard_3-1-0_093068_2004-11-24_final
2005-05-01 10:32:49	ga_ls5t_ard_3-0-0_104081_2005-05-01_final
2005-06-26 09:45:46	ga_ls5t_ard_3-0-0_096086_2005-06-26_final
2005-11-17 09:39:02	ga_ls5t_ard_3-0-0_096067_2005-11-17_final
2006-06-29 09:50:58	ga_ls5t_ard_3-0-0_096086_2006-06-29_final
2007-02-24 09:53:08	ga_ls5t_ard_3-0-0_096086_2007-02-24_final
2007-03-03 09:52:32	ga_ls5t_ard_3-0-0_097069_2007-03-03_final
2007-06-21 11:47:08	ga_ls5t_ard_3-1-0_115080_2007-06-21_final
2007-07-02 09:51:32	ga_ls5t_ard_3-0-0_096085_2007-07-02_final
2007-10-02 10:12:14	ga_ls5t_ard_3-0-0_100077_2007-10-02_final
2008-05-08 09:46:17	ga_ls5t_ard_3-1-0_097069_2008-05-08_final
2008-10-07 08:55:41	ga_ls5t_ard_3-1-0_089077_2008-10-06_final
2009-04-25 09:44:57	ga_ls5t_ard_3-1-0_097069_2009-04-25_final
2009-08-31 09:47:07	ga_ls5t_ard_3-0-0_097069_2009-08-31_final
2009-09-05 10:08:55	ga_ls5t_ard_3-0-0_100077_2009-09-05_final
2009-10-10 09:03:21	ga_ls5t_ard_3-0-0_089082_2009-10-09_final
2009-10-20 09:34:33	ga_ls5t_ard_3-0-0_095067_2009-10-20_final
2010-03-31 09:26:10	ga_ls5t_ard_3-0-0_093075_2010-03-30_final
2011-07-26 09:11:55	ga_ls5t_ard_3-1-0_091075_2011-07-25_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