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

53 results

Time (local)	Label
1986-08-24 10:12:43	ga_ls5t_ard_3-0-0_105080_1986-08-24_final
1987-11-25 10:51:33	ga_ls5t_ard_3-0-0_111067_1987-11-25_final
1987-12-19 10:08:26	ga_ls5t_ard_3-0-0_103082_1987-12-19_final
1988-01-17 09:34:03	ga_ls5t_ard_3-0-0_098072_1988-01-17_final
1988-04-10 09:10:43	ga_ls5t_ard_3-0-0_094073_1988-04-09_final
1988-06-27 09:23:37	ga_ls5t_ard_3-0-0_096073_1988-06-26_final
1988-08-04 08:52:37	ga_ls5t_ard_3-0-0_090088_1988-08-03_final
1989-03-24 11:13:32	ga_ls5t_ard_3-0-0_114074_1989-03-24_final
1989-06-23 10:57:26	ga_ls5t_ard_3-0-0_111083_1989-06-23_final
1989-11-10 09:37:10	ga_ls5t_ard_3-0-0_099076_1989-11-10_final
1990-04-03 11:11:38	ga_ls5t_ard_3-0-0_115076_1990-04-03_final
1990-12-31 09:34:07	ga_ls5t_ard_3-0-0_099080_1990-12-31_final
1991-11-04 10:49:50	ga_ls5t_ard_3-0-0_111073_1991-11-04_final
1991-11-10 10:13:36	ga_ls5t_ard_3-0-0_105075_1991-11-10_final
1992-03-08 08:44:28	ga_ls5t_ard_3-0-0_090084_1992-03-07_final
1992-04-22 09:49:46	ga_ls5t_ard_3-0-0_101078_1992-04-22_final
1992-04-27 10:08:16	ga_ls5t_ard_3-1-0_104078_1992-04-27_final
1992-05-14 10:49:23	ga_ls5t_ard_3-0-0_111073_1992-05-14_final
1993-01-08 08:28:41	ga_ls5t_ard_3-1-0_088082_1993-01-07_final
1993-01-11 10:38:54	ga_ls5t_ard_3-0-0_109083_1993-01-11_final
1994-01-14 10:35:08	ga_ls5t_ard_3-0-0_109074_1994-01-14_final
1994-08-28 10:20:47	ga_ls5t_ard_3-0-0_107080_1994-08-28_final
1995-01-03 10:14:47	ga_ls5t_ard_3-0-0_107075_1995-01-03_final
1995-07-12 08:39:49	ga_ls5t_ard_3-0-0_093074_1995-07-11_final
1996-07-12 08:58:37	ga_ls5t_ard_3-0-0_095067_1996-07-11_final
1996-08-25 09:32:03	ga_ls5t_ard_3-0-0_099083_1996-08-25_final
1997-02-18 10:18:45	ga_ls5t_ard_3-0-0_106070_1997-02-18_final
1997-12-18 09:45:57	ga_ls5t_ard_3-0-0_099072_1997-12-18_final
1998-03-09 10:29:17	ga_ls5t_ard_3-0-0_106068_1998-03-09_final
1999-01-03 10:59:00	ga_ls5t_ard_3-0-0_110074_1999-01-03_final
1999-07-02 10:30:35	ga_ls5t_ard_3-0-0_106068_1999-07-02_final
1999-09-26 09:57:48	ga_ls5t_ard_3-0-0_100082_1999-09-26_final
2000-07-07 11:00:07	ga_ls5t_ard_3-0-0_111067_2000-07-07_final
2003-10-22 09:18:01	ga_ls5t_ard_3-0-0_093087_2003-10-21_final
2004-01-21 08:56:18	ga_ls5t_ard_3-0-0_090077_2004-01-20_final
2004-09-20 11:09:38	ga_ls5t_ard_3-0-0_111073_2004-09-20_final
2004-10-12 10:34:14	ga_ls5t_ard_3-0-0_105076_2004-10-12_final
2005-01-03 11:09:03	ga_ls5t_ard_3-0-0_110082_2005-01-03_final
2005-04-03 10:07:10	ga_ls5t_ard_3-0-0_100079_2005-04-03_final
2006-10-08 11:46:04	ga_ls5t_ard_3-0-0_115077_2006-10-08_final
2007-03-01 11:46:34	ga_ls5t_ard_3-0-0_115076_2007-03-01_final
2007-04-12 09:07:44	ga_ls5t_ard_3-0-0_089081_2007-04-11_final
2007-09-09 10:07:04	ga_ls5t_ard_3-0-0_099079_2007-09-09_final
2008-12-06 09:23:59	ga_ls5t_ard_3-0-0_093087_2008-12-05_final
2009-01-07 09:20:05	ga_ls5t_ard_3-0-0_093075_2009-01-06_final
2009-05-13 09:39:18	ga_ls5t_ard_3-0-0_095085_2009-05-13_final
2009-08-02 10:17:11	ga_ls5t_ard_3-0-0_102068_2009-08-02_final
2009-10-06 09:25:14	ga_ls5t_ard_3-0-0_093075_2009-10-05_final
2010-01-09 10:19:14	ga_ls5t_ard_3-0-0_102069_2010-01-09_final
2010-01-11 10:12:28	ga_ls5t_ard_3-0-0_100083_2010-01-11_final
2011-01-27 09:34:20	ga_ls5t_ard_3-0-0_095067_2011-01-27_final
2011-10-14 09:14:30	ga_ls5t_ard_3-0-0_091084_2011-10-13_final
2011-10-28 11:01:37	ga_ls5t_ard_3-0-0_109074_2011-10-28_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