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

50 results

Time (local)	Label
1987-09-28 10:18:56	ga_ls5t_ard_3-0-0_105081_1987-09-28_final
1987-10-14 10:19:14	ga_ls5t_ard_3-0-0_105081_1987-10-14_final
1988-07-15 09:12:31	ga_ls5t_ard_3-0-0_094076_1988-07-14_final
1989-07-25 10:54:52	ga_ls5t_ard_3-0-0_111078_1989-07-25_final
1991-01-06 08:52:25	ga_ls5t_ard_3-1-0_093068_1991-01-05_final
1991-06-20 09:19:07	ga_ls5t_ard_3-0-0_096081_1991-06-19_final
1994-11-12 10:37:59	ga_ls5t_ard_3-0-0_111067_1994-11-12_final
1995-04-30 08:52:56	ga_ls5t_ard_3-0-0_094083_1995-04-29_final
1996-10-02 08:51:04	ga_ls5t_ard_3-1-0_093068_1996-10-01_final
1997-06-18 11:11:21	ga_ls5t_ard_3-0-0_114067_1997-06-18_final
1998-04-29 09:25:33	ga_ls5t_ard_3-0-0_095077_1998-04-28_final
1998-06-09 10:54:56	ga_ls5t_ard_3-0-0_110067_1998-06-09_final
1998-06-28 11:30:50	ga_ls5t_ard_3-0-0_115079_1998-06-28_final
1998-07-18 11:01:34	ga_ls5t_ard_3-0-0_111067_1998-07-18_final
1998-08-03 11:01:39	ga_ls5t_ard_3-0-0_111067_1998-08-03_final
1999-06-28 09:20:26	ga_ls5t_ard_3-0-0_094078_1999-06-27_final
1999-07-01 11:30:35	ga_ls5t_ard_3-0-0_115079_1999-07-01_final
1999-07-07 09:15:49	ga_ls5t_ard_3-0-0_093082_1999-07-06_final
1999-07-21 11:01:02	ga_ls5t_ard_3-0-0_111067_1999-07-21_final
1999-07-26 11:19:33	ga_ls5t_ard_3-0-0_114067_1999-07-26_final
1999-08-02 11:30:31	ga_ls5t_ard_3-0-0_115079_1999-08-02_final
2000-07-12 11:18:48	ga_ls5t_ard_3-0-0_114067_2000-07-12_final
2004-03-14 09:11:32	ga_ls5t_ard_3-1-0_093068_2004-03-13_final
2005-06-28 09:30:13	ga_ls5t_ard_3-0-0_094078_2005-06-28_final
2005-08-06 09:36:22	ga_ls5t_ard_3-0-0_095077_2005-08-06_final
2005-11-10 09:36:15	ga_ls5t_ard_3-0-0_095076_2005-11-10_final
2006-05-21 09:40:35	ga_ls5t_ard_3-0-0_095077_2006-05-21_final
2006-06-06 09:40:50	ga_ls5t_ard_3-0-0_095077_2006-06-06_final
2006-09-08 11:32:58	ga_ls5t_ard_3-0-0_113076_2006-09-08_final
2006-12-12 09:14:33	ga_ls5t_ard_3-0-0_090083_2006-12-11_final
2006-12-31 09:43:11	ga_ls5t_ard_3-0-0_095077_2006-12-31_final
2007-03-19 11:34:34	ga_ls5t_ard_3-0-0_113077_2007-03-19_final
2007-03-30 09:37:30	ga_ls5t_ard_3-0-0_094078_2007-03-30_final
2008-12-27 11:18:26	ga_ls5t_ard_3-0-0_112078_2008-12-27_final
2009-03-03 09:28:52	ga_ls5t_ard_3-0-0_094078_2009-03-02_final
2009-03-05 10:55:03	ga_ls5t_ard_3-0-0_108077_2009-03-05_final
2009-05-29 09:36:24	ga_ls5t_ard_3-0-0_095077_2009-05-29_final
2009-06-06 10:25:10	ga_ls5t_ard_3-0-0_103075_2009-06-06_final
2009-09-09 09:43:51	ga_ls5t_ard_3-0-0_096076_2009-09-09_final
2010-01-19 10:59:09	ga_ls5t_ard_3-0-0_108076_2010-01-19_final
2010-02-13 10:53:04	ga_ls5t_ard_3-0-0_107076_2010-02-13_final
2010-07-24 11:32:18	ga_ls5t_ard_3-1-0_114067_2010-07-24_final
2010-11-20 10:03:19	ga_ls5t_ard_3-0-0_099078_2010-11-20_final
2011-02-28 09:39:10	ga_ls5t_ard_3-0-0_095079_2011-02-28_final
2011-08-30 11:22:34	ga_ls5t_ard_3-0-0_112078_2011-08-30_final
2011-09-29 09:54:24	ga_ls5t_ard_3-0-0_098075_2011-09-29_final
2011-10-01 09:42:47	ga_ls5t_ard_3-0-0_096077_2011-10-01_final
2011-10-01 11:22:28	ga_ls5t_ard_3-0-0_112079_2011-10-01_final
2011-10-12 09:26:05	ga_ls5t_ard_3-0-0_093082_2011-10-11_final
2011-10-18 10:25:03	ga_ls5t_ard_3-0-0_103075_2011-10-18_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