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

60 results

Time (local)	Label
1988-02-21 10:09:08	ga_ls5t_ard_3-0-0_103081_1988-02-21_final
1988-09-13 09:40:30	ga_ls5t_ard_3-0-0_098084_1988-09-13_final
1988-11-13 09:10:13	ga_ls5t_ard_3-0-0_093086_1988-11-12_final
1989-02-17 09:06:00	ga_ls5t_ard_3-0-0_093077_1989-02-16_final
1989-05-05 08:35:53	ga_ls5t_ard_3-1-0_088082_1989-05-04_final
1990-03-25 09:39:08	ga_ls5t_ard_3-0-0_100076_1990-03-25_final
1990-05-13 10:24:01	ga_ls5t_ard_3-0-0_107080_1990-05-13_final
1990-08-27 11:01:56	ga_ls5t_ard_3-0-0_113083_1990-08-27_final
1990-09-14 09:11:51	ga_ls5t_ard_3-0-0_095086_1990-09-13_final
1991-04-06 09:32:02	ga_ls5t_ard_3-0-0_099070_1991-04-06_final
1991-04-09 08:28:56	ga_ls5t_ard_3-1-0_088082_1991-04-08_final
1993-01-07 11:03:11	ga_ls5t_ard_3-0-0_113082_1993-01-07_final
1993-09-30 10:01:43	ga_ls5t_ard_3-0-0_103081_1993-09-30_final
1993-11-13 08:49:38	ga_ls5t_ard_3-0-0_091087_1993-11-12_final
1994-06-26 09:22:49	ga_ls5t_ard_3-0-0_098070_1994-06-25_final
1994-07-13 10:07:13	ga_ls5t_ard_3-0-0_105074_1994-07-13_final
1994-09-05 09:27:09	ga_ls5t_ard_3-0-0_099070_1994-09-04_final
1994-09-30 09:23:29	ga_ls5t_ard_3-0-0_098078_1994-09-29_final
1995-02-21 09:16:04	ga_ls5t_ard_3-0-0_098072_1995-02-20_final
1995-11-26 08:32:26	ga_ls5t_ard_3-0-0_092084_1995-11-25_final
1996-03-28 08:20:17	ga_ls5t_ard_3-0-0_089079_1996-03-27_final
1996-05-21 09:22:56	ga_ls5t_ard_3-0-0_099073_1996-05-20_final
1996-11-13 09:31:49	ga_ls5t_ard_3-0-0_099072_1996-11-13_final
1997-03-12 09:44:57	ga_ls5t_ard_3-0-0_100076_1997-03-12_final
1997-08-28 11:24:17	ga_ls5t_ard_3-0-0_115078_1997-08-28_final
1997-09-17 10:58:08	ga_ls5t_ard_3-0-0_111073_1997-09-17_final
1997-09-30 10:25:37	ga_ls5t_ard_3-0-0_106068_1997-09-30_final
1997-12-05 10:14:57	ga_ls5t_ard_3-0-0_104068_1997-12-05_final
1998-01-24 10:04:56	ga_ls5t_ard_3-0-0_102071_1998-01-24_final
1998-02-11 09:56:09	ga_ls5t_ard_3-0-0_100079_1998-02-11_final
1998-02-14 10:23:07	ga_ls5t_ard_3-0-0_105069_1998-02-14_final
1998-07-24 08:51:38	ga_ls5t_ard_3-0-0_089082_1998-07-23_final
1998-10-11 09:48:33	ga_ls5t_ard_3-0-0_098084_1998-10-11_final
1998-12-05 09:50:05	ga_ls5t_ard_3-0-0_099072_1998-12-05_final
1999-01-17 11:13:38	ga_ls5t_ard_3-0-0_112080_1999-01-17_final
1999-02-11 09:27:12	ga_ls5t_ard_3-0-0_095076_1999-02-10_final
1999-04-12 11:30:19	ga_ls5t_ard_3-0-0_115076_1999-04-12_final
1999-04-24 10:18:10	ga_ls5t_ard_3-0-0_103081_1999-04-24_final
1999-10-23 09:36:04	ga_ls5t_ard_3-0-0_097074_1999-10-23_final
2004-02-14 09:48:39	ga_ls5t_ard_3-0-0_098084_2004-02-14_final
2004-02-17 10:14:47	ga_ls5t_ard_3-0-0_103072_2004-02-17_final
2004-05-21 08:55:13	ga_ls5t_ard_3-0-0_089085_2004-05-20_final
2004-06-23 11:17:32	ga_ls5t_ard_3-0-0_112083_2004-06-23_final
2004-08-06 10:03:15	ga_ls5t_ard_3-0-0_100080_2004-08-06_final
2004-09-07 10:04:31	ga_ls5t_ard_3-0-0_100081_2004-09-07_final
2005-07-06 10:15:42	ga_ls5t_ard_3-1-0_102068_2005-07-06_final
2006-03-15 09:08:36	ga_ls5t_ard_3-0-0_090077_2006-03-14_final
2006-05-05 11:17:16	ga_ls5t_ard_3-0-0_111072_2006-05-05_final
2007-01-29 10:49:20	ga_ls5t_ard_3-0-0_106072_2007-01-29_final
2007-02-21 09:23:02	ga_ls5t_ard_3-0-0_091088_2007-02-20_final
2007-09-24 09:26:52	ga_ls5t_ard_3-0-0_092087_2007-09-23_final
2008-03-17 10:15:28	ga_ls5t_ard_3-0-0_101077_2008-03-17_final
2008-04-09 10:19:32	ga_ls5t_ard_3-0-0_102073_2008-04-09_final
2008-04-29 09:52:19	ga_ls5t_ard_3-0-0_098068_2008-04-29_final
2008-11-12 10:06:16	ga_ls5t_ard_3-0-0_101071_2008-11-12_final
2009-07-28 09:58:35	ga_ls5t_ard_3-0-0_099068_2009-07-28_final
2010-02-07 11:26:32	ga_ls5t_ard_3-1-0_113067_2010-02-07_final
2010-05-05 09:54:09	ga_ls5t_ard_3-0-0_098068_2010-05-05_final
2010-11-10 09:25:25	ga_ls5t_ard_3-0-0_093076_2010-11-09_final
2011-04-06 09:57:32	ga_ls5t_ard_3-0-0_098079_2011-04-06_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

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