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
1987-11-21 11:20:11	ga_ls5t_ard_3-0-0_115077_1987-11-21_final
1987-12-18 09:21:10	ga_ls5t_ard_3-0-0_096072_1987-12-17_final
1990-02-23 09:28:11	ga_ls5t_ard_3-0-0_098077_1990-02-22_final
1990-05-22 10:13:01	ga_ls5t_ard_3-0-0_106068_1990-05-22_final
1991-03-17 10:00:50	ga_ls5t_ard_3-0-0_103081_1991-03-17_final
1991-12-20 09:25:28	ga_ls5t_ard_3-0-0_097078_1991-12-19_final
1991-12-28 08:36:03	ga_ls5t_ard_3-0-0_089078_1991-12-27_final
1992-01-06 08:30:59	ga_ls5t_ard_3-0-0_088081_1992-01-05_final
1992-12-07 08:27:57	ga_ls5t_ard_3-0-0_088081_1992-12-06_final
1994-01-13 09:55:05	ga_ls5t_ard_3-0-0_102082_1994-01-13_final
1994-12-10 09:24:08	ga_ls5t_ard_3-0-0_099070_1994-12-09_final
1995-12-13 09:14:48	ga_ls5t_ard_3-0-0_099079_1995-12-12_final
1996-01-10 09:41:09	ga_ls5t_ard_3-0-0_103078_1996-01-10_final
1996-02-08 09:09:53	ga_ls5t_ard_3-0-0_098072_1996-02-07_final
1996-04-01 09:31:54	ga_ls5t_ard_3-0-0_101072_1996-04-01_final
1996-05-12 09:29:48	ga_ls5t_ard_3-1-0_100076_1996-05-11_final
1996-09-07 10:37:34	ga_ls5t_ard_3-0-0_110075_1996-09-07_final
1996-09-16 10:31:53	ga_ls5t_ard_3-0-0_109075_1996-09-16_final
1996-11-02 09:49:02	ga_ls5t_ard_3-0-0_102070_1996-11-02_final
1997-01-20 09:11:30	ga_ls5t_ard_3-0-0_095075_1997-01-19_final
1997-08-28 09:45:48	ga_ls5t_ard_3-0-0_099079_1997-08-28_final
1998-03-09 08:57:35	ga_ls5t_ard_3-0-0_090086_1998-03-08_final
1998-06-02 10:52:14	ga_ls5t_ard_3-0-0_109076_1998-06-02_final
1998-07-24 08:50:50	ga_ls5t_ard_3-0-0_089080_1998-07-23_final
1999-01-31 09:43:36	ga_ls5t_ard_3-0-0_098071_1999-01-31_final
1999-04-14 11:17:10	ga_ls5t_ard_3-0-0_113074_1999-04-14_final
2003-07-17 10:04:31	ga_ls5t_ard_3-0-0_102068_2003-07-17_final
2003-10-09 09:42:21	ga_ls5t_ard_3-0-0_098071_2003-10-09_final
2004-01-05 10:31:33	ga_ls5t_ard_3-0-0_106068_2004-01-05_final
2004-02-01 10:14:42	ga_ls5t_ard_3-0-0_103072_2004-02-01_final
2004-04-10 10:33:55	ga_ls5t_ard_3-0-0_106072_2004-04-10_final
2004-12-16 09:43:52	ga_ls5t_ard_3-0-0_096086_2004-12-16_final
2005-07-02 10:43:12	ga_ls5t_ard_3-0-0_106075_2005-07-02_final
2005-07-13 10:23:34	ga_ls5t_ard_3-0-0_103072_2005-07-13_final
2006-02-04 10:36:53	ga_ls5t_ard_3-0-0_105068_2006-02-04_final
2006-02-10 10:03:32	ga_ls5t_ard_3-0-0_099077_2006-02-10_final
2006-05-31 10:19:25	ga_ls5t_ard_3-0-0_101081_2006-05-31_final
2006-06-27 09:56:55	ga_ls5t_ard_3-0-0_098070_2006-06-27_final
2006-11-20 09:49:51	ga_ls5t_ard_3-0-0_096079_2006-11-20_final
2006-12-21 09:08:02	ga_ls5t_ard_3-0-0_089082_2006-12-20_final
2007-04-20 11:30:25	ga_ls5t_ard_3-0-0_113067_2007-04-20_final
2007-08-12 11:19:06	ga_ls5t_ard_3-0-0_111073_2007-08-12_final
2008-09-15 11:13:56	ga_ls5t_ard_3-0-0_111081_2008-09-15_final
2009-01-13 10:20:51	ga_ls5t_ard_3-0-0_103072_2009-01-13_final
2009-02-14 10:21:41	ga_ls5t_ard_3-0-0_103072_2009-02-14_final
2009-03-06 10:00:15	ga_ls5t_ard_3-0-0_099079_2009-03-06_final
2009-03-23 09:04:37	ga_ls5t_ard_3-0-0_090078_2009-03-22_final
2009-05-16 10:07:52	ga_ls5t_ard_3-0-0_100079_2009-05-16_final
2009-05-29 11:14:53	ga_ls5t_ard_3-0-0_111076_2009-05-29_final
2009-08-02 10:17:59	ga_ls5t_ard_3-0-0_102070_2009-08-02_final
2009-08-28 11:00:14	ga_ls5t_ard_3-0-0_108082_2009-08-28_final
2009-10-06 11:07:19	ga_ls5t_ard_3-0-0_109083_2009-10-06_final
2010-03-19 09:03:04	ga_ls5t_ard_3-0-0_089079_2010-03-18_final
2010-06-06 09:54:25	ga_ls5t_ard_3-0-0_098069_2010-06-06_final
2010-12-22 11:42:17	ga_ls5t_ard_3-0-0_115078_2010-12-22_final
2011-02-17 11:37:00	ga_ls5t_ard_3-0-0_114080_2011-02-17_final
2011-02-18 09:01:42	ga_ls5t_ard_3-0-0_089078_2011-02-17_final
2011-08-02 10:55:42	ga_ls5t_ard_3-0-0_108072_2011-08-02_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