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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

67 results

Time (local)	Label
1987-09-24 09:04:41	ga_ls5t_ard_3-0-0_093081_1987-09-23_final
1988-04-19 09:10:09	ga_ls5t_ard_3-0-0_093087_1988-04-18_final
1988-06-13 09:08:47	ga_ls5t_ard_3-0-0_094067_1988-06-12_final
1988-07-20 11:12:45	ga_ls5t_ard_3-0-0_113083_1988-07-20_final
1988-09-17 09:08:58	ga_ls5t_ard_3-0-0_094067_1988-09-16_final
1989-01-20 08:41:19	ga_ls5t_ard_3-1-0_089077_1989-01-19_final
1989-02-25 09:57:43	ga_ls5t_ard_3-0-0_101083_1989-02-25_final
1989-11-04 08:36:24	ga_ls5t_ard_3-0-0_089078_1989-11-03_final
1990-11-10 08:57:44	ga_ls5t_ard_3-0-0_094067_1990-11-09_final
1990-12-12 08:57:33	ga_ls5t_ard_3-0-0_094067_1990-12-11_final
1991-01-20 09:04:48	ga_ls5t_ard_3-0-0_095067_1991-01-19_final
1991-03-16 09:11:57	ga_ls5t_ard_3-0-0_096067_1991-03-15_final
1991-04-17 09:12:32	ga_ls5t_ard_3-0-0_096067_1991-04-16_final
1991-05-18 08:34:58	ga_ls5t_ard_3-0-0_089080_1991-05-17_final
1991-07-24 09:01:40	ga_ls5t_ard_3-0-0_094067_1991-07-23_final
1991-12-31 09:02:32	ga_ls5t_ard_3-0-0_094067_1991-12-30_final
1992-01-02 10:30:37	ga_ls5t_ard_3-0-0_108071_1992-01-02_final
1992-09-15 09:32:26	ga_ls5t_ard_3-0-0_099070_1992-09-15_final
1993-02-19 10:45:28	ga_ls5t_ard_3-0-0_110083_1993-02-19_final
1993-05-27 09:50:25	ga_ls5t_ard_3-0-0_101083_1993-05-27_final
1993-09-24 09:02:44	ga_ls5t_ard_3-0-0_093088_1993-09-23_final
1993-10-17 09:00:25	ga_ls5t_ard_3-0-0_094067_1993-10-16_final
1994-09-18 08:54:42	ga_ls5t_ard_3-0-0_094067_1994-09-17_final
1995-08-06 08:37:19	ga_ls5t_ard_3-0-0_092086_1995-08-05_final
1995-08-06 10:13:48	ga_ls5t_ard_3-0-0_108080_1995-08-06_final
1995-08-27 08:47:18	ga_ls5t_ard_3-1-0_095067_1995-08-26_final
1995-12-10 10:19:46	ga_ls5t_ard_3-0-0_110072_1995-12-10_final
1995-12-13 10:53:17	ga_ls5t_ard_3-1-0_115078_1995-12-13_final
1996-02-19 10:32:11	ga_ls5t_ard_3-0-0_111075_1996-02-19_final
1996-02-22 09:25:35	ga_ls5t_ard_3-0-0_100078_1996-02-21_final
1996-04-26 09:28:03	ga_ls5t_ard_3-0-0_100074_1996-04-25_final
1996-07-16 08:37:18	ga_ls5t_ard_3-1-0_091075_1996-07-15_final
1996-09-07 08:55:30	ga_ls5t_ard_3-0-0_094067_1996-09-06_final
1996-10-20 08:46:01	ga_ls5t_ard_3-0-0_091084_1996-10-19_final
1996-11-04 09:37:34	ga_ls5t_ard_3-0-0_100072_1996-11-04_final
1997-01-27 11:00:29	ga_ls5t_ard_3-0-0_112084_1997-01-27_final
1997-05-21 09:06:47	ga_ls5t_ard_3-0-0_094067_1997-05-20_final
1997-05-28 09:13:13	ga_ls5t_ard_3-0-0_095067_1997-05-27_final
1997-07-24 09:08:59	ga_ls5t_ard_3-0-0_094067_1997-07-23_final
1997-12-05 10:18:32	ga_ls5t_ard_3-0-0_104077_1997-12-05_final
1998-06-07 09:28:23	ga_ls5t_ard_3-0-0_096067_1998-06-06_final
1998-08-28 09:16:51	ga_ls5t_ard_3-0-0_094067_1998-08-27_final
1998-09-27 11:15:05	ga_ls5t_ard_3-0-0_112084_1998-09-27_final
1998-11-16 09:24:51	ga_ls5t_ard_3-0-0_094086_1998-11-15_final
1999-02-05 10:04:36	ga_ls5t_ard_3-0-0_101077_1999-02-05_final
1999-05-08 08:54:44	ga_ls5t_ard_3-0-0_089089_1999-05-07_final
2003-08-12 09:09:08	ga_ls5t_ard_3-0-0_092083_2003-08-11_final
2003-11-18 10:32:20	ga_ls5t_ard_3-0-0_106071_2003-11-18_final
2003-11-30 09:16:44	ga_ls5t_ard_3-0-0_094067_2003-11-29_final
2004-01-04 09:49:05	ga_ls5t_ard_3-0-0_099070_2004-01-04_final
2004-02-06 09:01:10	ga_ls5t_ard_3-0-0_090089_2004-02-05_final
2004-09-29 09:24:46	ga_ls5t_ard_3-0-0_094073_2004-09-28_final
2004-10-18 09:54:53	ga_ls5t_ard_3-0-0_099070_2004-10-18_final
2004-10-29 09:39:46	ga_ls5t_ard_3-0-0_096078_2004-10-29_final
2005-11-20 10:12:23	ga_ls5t_ard_3-0-0_101073_2005-11-20_final
2006-04-06 10:10:49	ga_ls5t_ard_3-0-0_100077_2006-04-06_final
2007-03-01 10:05:42	ga_ls5t_ard_3-0-0_099071_2007-03-01_final
2007-10-04 10:02:39	ga_ls5t_ard_3-0-0_098084_2007-10-04_final
2008-02-02 09:49:11	ga_ls5t_ard_3-0-0_097071_2008-02-02_final
2008-02-29 09:28:33	ga_ls5t_ard_3-0-0_094067_2008-02-28_final
2008-11-27 09:21:53	ga_ls5t_ard_3-0-0_094067_2008-11-26_final
2008-12-13 11:08:04	ga_ls5t_ard_3-0-0_110084_2008-12-13_final
2009-01-21 09:33:37	ga_ls5t_ard_3-1-0_095077_2009-01-21_final
2009-03-06 09:55:51	ga_ls5t_ard_3-0-0_099068_2009-03-06_final
2009-08-31 09:47:07	ga_ls5t_ard_3-0-0_097069_2009-08-31_final
2010-04-20 09:03:47	ga_ls5t_ard_3-0-0_089081_2010-04-19_final
2011-02-01 09:57:41	ga_ls5t_ard_3-0-0_098079_2011-02-01_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