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

52 results

Time (local)	Label
1988-01-18 10:20:55	ga_ls5t_ard_3-0-0_105081_1988-01-18_final
1993-07-27 09:16:33	ga_ls5t_ard_3-0-0_096076_1993-07-26_final
1994-10-02 09:10:16	ga_ls5t_ard_3-0-0_096076_1994-10-01_final
1997-05-12 09:16:38	ga_ls5t_ard_3-0-0_095077_1997-05-11_final
1997-06-29 09:18:19	ga_ls5t_ard_3-0-0_095077_1997-06-28_final
1997-07-31 09:19:24	ga_ls5t_ard_3-0-0_095077_1997-07-30_final
1997-08-16 09:19:55	ga_ls5t_ard_3-0-0_095077_1997-08-15_final
1997-09-01 11:00:05	ga_ls5t_ard_3-0-0_111079_1997-09-01_final
1997-09-17 11:00:32	ga_ls5t_ard_3-0-0_111079_1997-09-17_final
1998-09-15 10:47:54	ga_ls5t_ard_3-0-0_108078_1998-09-15_final
1999-04-11 10:47:51	ga_ls5t_ard_3-0-0_108078_1999-04-11_final
1999-05-02 09:27:05	ga_ls5t_ard_3-0-0_095077_1999-05-01_final
1999-05-18 09:26:49	ga_ls5t_ard_3-0-0_095077_1999-05-17_final
1999-05-18 11:06:30	ga_ls5t_ard_3-0-0_111079_1999-05-18_final
1999-05-28 10:02:26	ga_ls5t_ard_3-0-0_101074_1999-05-28_final
1999-06-19 09:26:20	ga_ls5t_ard_3-0-0_095077_1999-06-18_final
1999-06-29 10:02:05	ga_ls5t_ard_3-0-0_101074_1999-06-29_final
1999-07-19 11:17:23	ga_ls5t_ard_3-0-0_113077_1999-07-19_final
1999-08-04 11:16:57	ga_ls5t_ard_3-0-0_113076_1999-08-04_final
1999-08-15 09:20:13	ga_ls5t_ard_3-0-0_094078_1999-08-14_final
1999-08-17 10:46:43	ga_ls5t_ard_3-0-0_108078_1999-08-17_final
1999-08-26 10:40:45	ga_ls5t_ard_3-0-0_107079_1999-08-26_final
1999-09-07 09:25:21	ga_ls5t_ard_3-0-0_095077_1999-09-06_final
1999-09-23 11:04:36	ga_ls5t_ard_3-0-0_111079_1999-09-23_final
2003-08-17 09:25:23	ga_ls5t_ard_3-0-0_095077_2003-08-16_final
2005-03-15 11:14:38	ga_ls5t_ard_3-0-0_111078_2005-03-15_final
2005-05-02 09:35:36	ga_ls5t_ard_3-0-0_095077_2005-05-02_final
2005-05-18 09:35:43	ga_ls5t_ard_3-0-0_095077_2005-05-18_final
2005-06-03 09:35:52	ga_ls5t_ard_3-0-0_095077_2005-06-03_final
2006-06-06 09:40:50	ga_ls5t_ard_3-0-0_095077_2006-06-06_final
2006-06-22 09:41:05	ga_ls5t_ard_3-0-0_095077_2006-06-22_final
2007-05-24 11:18:06	ga_ls5t_ard_3-0-0_111068_2007-05-24_final
2007-08-12 09:41:48	ga_ls5t_ard_3-0-0_095077_2007-08-12_final
2008-09-10 10:54:21	ga_ls5t_ard_3-0-0_108078_2008-09-10_final
2009-03-03 09:28:52	ga_ls5t_ard_3-0-0_094078_2009-03-02_final
2009-04-25 11:26:37	ga_ls5t_ard_3-0-0_113076_2009-04-25_final
2009-05-04 11:21:00	ga_ls5t_ard_3-0-0_112077_2009-05-04_final
2009-05-29 09:36:24	ga_ls5t_ard_3-0-0_095077_2009-05-29_final
2009-05-29 09:36:48	ga_ls5t_ard_3-0-0_095078_2009-05-29_final
2009-06-06 10:25:10	ga_ls5t_ard_3-0-0_103075_2009-06-06_final
2009-09-02 09:37:58	ga_ls5t_ard_3-0-0_095077_2009-09-02_final
2009-09-02 09:38:22	ga_ls5t_ard_3-0-0_095078_2009-09-02_final
2010-01-25 10:23:41	ga_ls5t_ard_3-0-0_102080_2010-01-25_final
2010-02-11 11:04:37	ga_ls5t_ard_3-0-0_109074_2010-02-11_final
2010-05-07 11:24:16	ga_ls5t_ard_3-0-0_112077_2010-05-07_final
2010-10-02 10:59:13	ga_ls5t_ard_3-0-0_108078_2010-10-02_final
2011-04-08 11:23:15	ga_ls5t_ard_3-0-0_112077_2011-04-08_final
2011-04-24 11:22:44	ga_ls5t_ard_3-0-0_112076_2011-04-24_final
2011-04-30 10:48:24	ga_ls5t_ard_3-0-0_106083_2011-04-30_final
2011-05-10 11:23:03	ga_ls5t_ard_3-0-0_112077_2011-05-10_final
2011-06-04 09:37:51	ga_ls5t_ard_3-0-0_095077_2011-06-04_final
2011-07-06 09:37:36	ga_ls5t_ard_3-0-0_095077_2011-07-06_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