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

58 results

Time (local)	Label
1987-10-09 10:01:01	ga_ls5t_ard_3-0-0_102082_1987-10-09_final
1987-11-29 08:56:46	ga_ls5t_ard_3-0-0_091089_1987-11-28_final
1987-12-07 09:38:21	ga_ls5t_ard_3-0-0_099069_1987-12-07_final
1988-04-21 08:56:13	ga_ls5t_ard_3-0-0_091083_1988-04-20_final
1988-09-24 09:17:30	ga_ls5t_ard_3-0-0_095073_1988-09-23_final
1989-01-11 10:28:36	ga_ls5t_ard_3-0-0_106082_1989-01-11_final
1989-04-16 09:42:59	ga_ls5t_ard_3-0-0_099079_1989-04-16_final
1989-11-02 10:24:28	ga_ls5t_ard_3-0-0_107070_1989-11-02_final
1990-03-24 10:34:46	ga_ls5t_ard_3-0-0_109076_1990-03-24_final
1990-06-06 09:35:42	ga_ls5t_ard_3-0-0_099083_1990-06-06_final
1990-08-13 09:06:47	ga_ls5t_ard_3-0-0_095073_1990-08-12_final
1990-09-10 09:32:34	ga_ls5t_ard_3-0-0_099076_1990-09-10_final
1991-03-09 10:47:44	ga_ls5t_ard_3-0-0_111075_1991-03-09_final
1991-04-06 09:36:01	ga_ls5t_ard_3-0-0_099080_1991-04-06_final
1991-10-15 11:15:45	ga_ls5t_ard_3-0-0_115076_1991-10-15_final
1991-12-04 11:00:07	ga_ls5t_ard_3-0-0_113067_1991-12-04_final
1992-04-14 10:38:54	ga_ls5t_ard_3-0-0_109077_1992-04-14_final
1992-06-24 10:45:57	ga_ls5t_ard_3-0-0_110081_1992-06-24_final
1992-09-18 10:05:16	ga_ls5t_ard_3-0-0_104075_1992-09-18_final
1993-01-12 09:38:30	ga_ls5t_ard_3-0-0_100071_1993-01-12_final
1993-03-09 08:55:36	ga_ls5t_ard_3-0-0_092086_1993-03-08_final
1993-08-10 09:27:44	ga_ls5t_ard_3-0-0_098073_1993-08-09_final
1994-08-15 10:49:36	ga_ls5t_ard_3-0-0_112074_1994-08-15_final
1995-01-27 11:03:44	ga_ls5t_ard_3-0-0_115076_1995-01-27_final
1995-04-24 09:27:29	ga_ls5t_ard_3-0-0_100076_1995-04-23_final
1995-07-23 09:58:04	ga_ls5t_ard_3-0-0_106070_1995-07-23_final
1995-08-27 08:49:41	ga_ls5t_ard_3-0-0_095073_1995-08-26_final
1996-06-23 10:10:48	ga_ls5t_ard_3-0-0_106080_1996-06-23_final
1997-07-11 09:39:51	ga_ls5t_ard_3-0-0_099068_1997-07-11_final
1997-12-08 10:48:43	ga_ls5t_ard_3-0-0_109075_1997-12-08_final
1997-12-24 10:48:41	ga_ls5t_ard_3-0-0_109074_1997-12-24_final
1998-05-14 10:23:26	ga_ls5t_ard_3-0-0_104082_1998-05-14_final
1998-10-25 09:58:33	ga_ls5t_ard_3-0-0_100078_1998-10-25_final
1999-12-08 09:46:14	ga_ls5t_ard_3-0-0_099072_1999-12-08_final
2003-12-20 10:36:13	ga_ls5t_ard_3-0-0_106080_2003-12-20_final
2004-01-27 10:00:56	ga_ls5t_ard_3-0-0_100084_2004-01-27_final
2004-07-14 09:53:25	ga_ls5t_ard_3-0-0_099072_2004-07-14_final
2004-07-16 09:45:53	ga_ls5t_ard_3-0-0_097084_2004-07-16_final
2004-07-24 10:32:19	ga_ls5t_ard_3-0-0_105076_2004-07-24_final
2004-09-04 11:09:13	ga_ls5t_ard_3-0-0_111073_2004-09-04_final
2004-11-16 11:02:10	ga_ls5t_ard_3-0-0_110067_2004-11-16_final
2004-12-01 10:25:14	ga_ls5t_ard_3-0-0_103082_2004-12-01_final
2004-12-21 09:59:18	ga_ls5t_ard_3-0-0_099078_2004-12-21_final
2004-12-21 11:37:23	ga_ls5t_ard_3-0-0_115076_2004-12-21_final
2005-01-14 09:14:33	ga_ls5t_ard_3-0-0_091089_2005-01-13_final
2005-05-08 10:37:03	ga_ls5t_ard_3-0-0_105076_2005-05-08_final
2005-06-14 09:22:12	ga_ls5t_ard_3-0-0_092089_2005-06-13_final
2005-06-24 09:56:56	ga_ls5t_ard_3-0-0_098083_2005-06-24_final
2005-07-18 10:44:57	ga_ls5t_ard_3-0-0_106079_2005-07-18_final
2006-04-21 11:05:54	ga_ls5t_ard_3-0-0_109075_2006-04-21_final
2006-11-18 11:39:05	ga_ls5t_ard_3-0-0_114074_2006-11-18_final
2007-08-23 11:00:26	ga_ls5t_ard_3-0-0_108073_2007-08-23_final
2008-03-20 10:42:43	ga_ls5t_ard_3-1-0_106068_2008-03-20_final
2008-11-25 09:39:46	ga_ls5t_ard_3-0-0_096081_2008-11-25_final
2009-11-01 11:42:40	ga_ls5t_ard_3-0-0_115078_2009-11-01_final
2009-12-07 11:16:38	ga_ls5t_ard_3-0-0_111074_2009-12-07_final
2011-07-11 09:52:55	ga_ls5t_ard_3-0-0_098069_2011-07-11_final
2011-08-25 11:03:16	ga_ls5t_ard_3-0-0_109076_2011-08-25_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