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

59 results

Time (local)	Label
1986-08-18 09:05:57	ga_ls5t_ard_3-1-0_095067_1986-08-17_final
1987-09-01 10:35:38	ga_ls5t_ard_3-0-0_108078_1987-09-01_final
1988-03-16 10:56:25	ga_ls5t_ard_3-0-0_111075_1988-03-16_final
1988-04-12 10:37:38	ga_ls5t_ard_3-0-0_108074_1988-04-12_final
1988-08-30 09:21:23	ga_ls5t_ard_3-0-0_096067_1988-08-29_final
1989-05-13 10:58:02	ga_ls5t_ard_3-1-0_112067_1989-05-13_final
1989-07-07 09:25:29	ga_ls5t_ard_3-0-0_097070_1989-07-06_final
1989-07-23 09:29:34	ga_ls5t_ard_3-0-0_097081_1989-07-22_final
1989-09-27 09:10:08	ga_ls5t_ard_3-0-0_095067_1989-09-26_final
1989-11-14 09:08:38	ga_ls5t_ard_3-0-0_095067_1989-11-13_final
1990-08-22 10:42:14	ga_ls5t_ard_3-0-0_110080_1990-08-22_final
1991-07-05 10:15:48	ga_ls5t_ard_3-1-0_105083_1991-07-05_final
1991-07-15 09:10:29	ga_ls5t_ard_3-0-0_095074_1991-07-14_final
1991-11-01 10:17:42	ga_ls5t_ard_3-0-0_106070_1991-11-01_final
1991-11-23 09:46:18	ga_ls5t_ard_3-0-0_100084_1991-11-23_final
1993-03-20 10:14:45	ga_ls5t_ard_3-1-0_105083_1993-03-20_final
1993-05-25 10:01:57	ga_ls5t_ard_3-0-0_103081_1993-05-25_final
1993-06-22 08:48:57	ga_ls5t_ard_3-0-0_091084_1993-06-21_final
1993-06-25 09:13:03	ga_ls5t_ard_3-0-0_096067_1993-06-24_final
1994-01-07 10:29:04	ga_ls5t_ard_3-0-0_108074_1994-01-07_final
1994-08-12 10:21:33	ga_ls5t_ard_3-0-0_107081_1994-08-12_final
1995-02-05 10:58:00	ga_ls5t_ard_3-0-0_114078_1995-02-05_final
1996-09-25 08:46:55	ga_ls5t_ard_3-1-0_092074_1996-09-24_final
1996-10-11 10:26:38	ga_ls5t_ard_3-0-0_108074_1996-10-11_final
1997-03-13 10:27:51	ga_ls5t_ard_3-0-0_107075_1997-03-13_final
1997-04-01 09:17:23	ga_ls5t_ard_3-0-0_096067_1997-03-31_final
1997-04-05 10:34:30	ga_ls5t_ard_3-0-0_108074_1997-04-05_final
1997-06-08 10:36:44	ga_ls5t_ard_3-0-0_108074_1997-06-08_final
1997-06-13 10:55:51	ga_ls5t_ard_3-0-0_111075_1997-06-13_final
1997-06-20 09:20:10	ga_ls5t_ard_3-0-0_096067_1997-06-19_final
1997-07-02 09:49:42	ga_ls5t_ard_3-0-0_100078_1997-07-02_final
1998-02-19 10:43:45	ga_ls5t_ard_3-0-0_108074_1998-02-19_final
1998-03-07 10:44:00	ga_ls5t_ard_3-0-0_108074_1998-03-07_final
1998-05-30 10:22:53	ga_ls5t_ard_3-0-0_104080_1998-05-30_final
1998-10-01 10:46:22	ga_ls5t_ard_3-0-0_108074_1998-10-01_final
1998-10-29 09:29:28	ga_ls5t_ard_3-0-0_096067_1998-10-28_final
1998-12-02 10:56:05	ga_ls5t_ard_3-0-0_110067_1998-12-02_final
2003-09-08 10:29:58	ga_ls5t_ard_3-1-0_105083_2003-09-08_final
2004-02-13 10:41:04	ga_ls5t_ard_3-0-0_107076_2004-02-13_final
2004-07-06 10:43:49	ga_ls5t_ard_3-0-0_107075_2004-07-06_final
2004-09-26 08:57:48	ga_ls5t_ard_3-0-0_089083_2004-09-25_final
2005-01-08 09:43:35	ga_ls5t_ard_3-0-0_097069_2005-01-08_final
2005-03-20 09:50:45	ga_ls5t_ard_3-0-0_098069_2005-03-20_final
2005-04-23 09:39:44	ga_ls5t_ard_3-0-0_096072_2005-04-23_final
2005-05-04 11:01:20	ga_ls5t_ard_3-0-0_109075_2005-05-04_final
2005-05-07 09:54:59	ga_ls5t_ard_3-0-0_098079_2005-05-07_final
2006-07-29 09:56:33	ga_ls5t_ard_3-0-0_098068_2006-07-29_final
2006-09-18 10:28:29	ga_ls5t_ard_3-0-0_103069_2006-09-18_final
2006-09-27 10:23:37	ga_ls5t_ard_3-0-0_102072_2006-09-27_final
2006-11-03 10:41:20	ga_ls5t_ard_3-0-0_105069_2006-11-03_final
2007-08-03 11:26:09	ga_ls5t_ard_3-0-0_112075_2007-08-03_final
2008-07-20 09:37:17	ga_ls5t_ard_3-0-0_096067_2008-07-20_final
2008-12-06 09:23:59	ga_ls5t_ard_3-0-0_093087_2008-12-05_final
2009-03-27 10:14:52	ga_ls5t_ard_3-1-0_102068_2009-03-27_final
2009-10-27 09:40:48	ga_ls5t_ard_3-0-0_096067_2009-10-27_final
2009-11-22 10:20:28	ga_ls5t_ard_3-0-0_102073_2009-11-22_final
2011-04-29 09:59:57	ga_ls5t_ard_3-0-0_099070_2011-04-29_final
2011-07-13 09:39:45	ga_ls5t_ard_3-0-0_096067_2011-07-13_final
2011-10-22 09:58:18	ga_ls5t_ard_3-0-0_099070_2011-10-22_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