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
1987-11-03 09:53:17	ga_ls5t_ard_3-0-0_101077_1987-11-03_final
1988-01-23 09:02:39	ga_ls5t_ard_3-0-0_092086_1988-01-22_final
1988-02-15 09:02:04	ga_ls5t_ard_3-1-0_093068_1988-02-14_final
1988-05-14 10:37:31	ga_ls5t_ard_3-0-0_108073_1988-05-14_final
1988-08-12 09:34:51	ga_ls5t_ard_3-0-0_098070_1988-08-12_final
1989-01-14 09:16:57	ga_ls5t_ard_3-0-0_095073_1989-01-13_final
1989-02-09 09:53:05	ga_ls5t_ard_3-0-0_101071_1989-02-09_final
1989-02-24 10:53:21	ga_ls5t_ard_3-0-0_110083_1989-02-24_final
1989-04-09 11:10:59	ga_ls5t_ard_3-0-0_114067_1989-04-09_final
1989-07-10 10:00:44	ga_ls5t_ard_3-0-0_102081_1989-07-10_final
1990-03-27 09:23:32	ga_ls5t_ard_3-0-0_098068_1990-03-26_final
1990-04-02 08:54:17	ga_ls5t_ard_3-0-0_092088_1990-04-01_final
1990-05-13 10:24:01	ga_ls5t_ard_3-0-0_107080_1990-05-13_final
1990-10-06 08:31:16	ga_ls5t_ard_3-0-0_089078_1990-10-05_final
1990-11-06 09:24:00	ga_ls5t_ard_3-0-0_098071_1990-11-05_final
1990-12-09 08:31:00	ga_ls5t_ard_3-0-0_089078_1990-12-08_final
1991-09-05 08:47:04	ga_ls5t_ard_3-0-0_091076_1991-09-04_final
1992-01-07 09:15:51	ga_ls5t_ard_3-0-0_095085_1992-01-06_final
1993-01-20 10:27:38	ga_ls5t_ard_3-0-0_108070_1993-01-20_final
1993-01-22 08:39:13	ga_ls5t_ard_3-0-0_090077_1993-01-21_final
1993-02-16 10:14:09	ga_ls5t_ard_3-0-0_105082_1993-02-16_final
1993-05-30 08:43:14	ga_ls5t_ard_3-0-0_090085_1993-05-29_final
1993-06-05 09:42:15	ga_ls5t_ard_3-0-0_100078_1993-06-05_final
1993-07-13 10:44:18	ga_ls5t_ard_3-0-0_110079_1993-07-13_final
1993-12-31 08:46:54	ga_ls5t_ard_3-0-0_091081_1993-12-30_final
1995-09-18 08:13:32	ga_ls5t_ard_3-0-0_089078_1995-09-17_final
1995-12-10 08:38:53	ga_ls5t_ard_3-0-0_094067_1995-12-09_final
1995-12-29 09:12:47	ga_ls5t_ard_3-0-0_099071_1995-12-28_final
1996-02-03 08:56:35	ga_ls5t_ard_3-0-0_095086_1996-02-02_final
1996-04-21 09:12:48	ga_ls5t_ard_3-0-0_097083_1996-04-20_final
1996-09-30 09:04:55	ga_ls5t_ard_3-0-0_095072_1996-09-29_final
1996-12-03 09:06:03	ga_ls5t_ard_3-0-0_095067_1996-12-02_final
1997-05-17 09:32:57	ga_ls5t_ard_3-0-0_098071_1997-05-17_final
1997-06-06 09:12:56	ga_ls5t_ard_3-0-0_094081_1997-06-05_final
1998-08-09 08:50:08	ga_ls5t_ard_3-0-0_089078_1998-08-08_final
1998-09-18 09:37:33	ga_ls5t_ard_3-0-0_097072_1998-09-18_final
1998-09-25 09:44:58	ga_ls5t_ard_3-0-0_098075_1998-09-25_final
1999-01-17 11:13:38	ga_ls5t_ard_3-0-0_112080_1999-01-17_final
1999-12-22 10:00:58	ga_ls5t_ard_3-0-0_101078_1999-12-22_final
2003-08-25 10:12:11	ga_ls5t_ard_3-0-0_103070_2003-08-25_final
2004-02-12 09:58:12	ga_ls5t_ard_3-0-0_100077_2004-02-12_final
2004-12-05 09:55:01	ga_ls5t_ard_3-0-0_099068_2004-12-05_final
2005-08-11 09:57:44	ga_ls5t_ard_3-0-0_098084_2005-08-11_final
2006-01-29 09:37:21	ga_ls5t_ard_3-0-0_095074_2006-01-29_final
2006-05-01 10:05:27	ga_ls5t_ard_3-0-0_099078_2006-05-01_final
2006-06-22 09:43:53	ga_ls5t_ard_3-0-0_095084_2006-06-22_final
2007-02-03 09:31:00	ga_ls5t_ard_3-0-0_093077_2007-02-03_final
2007-02-05 10:55:08	ga_ls5t_ard_3-0-0_107071_2007-02-05_final
2007-07-16 10:00:35	ga_ls5t_ard_3-0-0_098077_2007-07-16_final
2007-08-01 10:03:15	ga_ls5t_ard_3-0-0_098084_2007-08-01_final
2007-09-06 11:12:16	ga_ls5t_ard_3-0-0_110072_2007-09-06_final
2008-05-15 09:52:41	ga_ls5t_ard_3-0-0_098070_2008-05-15_final
2008-07-04 11:16:37	ga_ls5t_ard_3-1-0_112067_2008-07-04_final
2008-10-24 09:41:58	ga_ls5t_ard_3-0-0_096086_2008-10-24_final
2008-11-22 10:43:16	ga_ls5t_ard_3-0-0_107070_2008-11-22_final
2009-01-13 10:20:51	ga_ls5t_ard_3-0-0_103072_2009-01-13_final
2009-10-26 09:06:19	ga_ls5t_ard_3-0-0_089089_2009-10-25_final
2010-12-31 09:57:38	ga_ls5t_ard_3-0-0_098079_2010-12-31_final
2011-01-17 09:02:03	ga_ls5t_ard_3-0-0_089079_2011-01-16_final
2011-02-25 09:07:52	ga_ls5t_ard_3-0-0_090078_2011-02-24_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

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