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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

47 results

Time (local)	Label
1987-05-28 10:31:41	ga_ls5t_ard_3-0-0_108074_1987-05-28_final
1987-10-08 09:11:44	ga_ls5t_ard_3-0-0_095067_1987-10-07_final
1988-01-28 09:13:43	ga_ls5t_ard_3-0-0_095067_1988-01-27_final
1988-05-07 08:53:11	ga_ls5t_ard_3-1-0_091075_1988-05-06_final
1988-10-02 10:10:05	ga_ls5t_ard_3-0-0_103081_1988-10-02_final
1989-01-04 10:19:43	ga_ls5t_ard_3-0-0_105075_1989-01-04_final
1989-05-22 10:54:06	ga_ls5t_ard_3-0-0_111073_1989-05-22_final
1990-05-09 10:45:54	ga_ls5t_ard_3-0-0_111073_1990-05-09_final
1990-06-10 09:04:35	ga_ls5t_ard_3-0-0_095067_1990-06-09_final
1991-04-02 10:01:04	ga_ls5t_ard_3-0-0_103081_1991-04-02_final
1992-01-23 09:08:40	ga_ls5t_ard_3-0-0_095067_1992-01-22_final
1992-02-24 10:49:52	ga_ls5t_ard_3-1-0_111073_1992-02-24_final
1992-10-25 10:25:58	ga_ls5t_ard_3-0-0_107082_1992-10-25_final
1994-04-18 10:45:42	ga_ls5t_ard_3-0-0_111073_1994-04-18_final
1994-12-21 10:42:56	ga_ls5t_ard_3-1-0_112067_1994-12-21_final
1995-03-16 09:23:19	ga_ls5t_ard_3-0-0_099077_1995-03-15_final
1995-07-22 10:56:31	ga_ls5t_ard_3-0-0_115077_1995-07-22_final
1995-09-30 10:15:19	ga_ls5t_ard_3-0-0_109075_1995-09-30_final
1995-11-28 09:52:38	ga_ls5t_ard_3-0-0_106068_1995-11-28_final
1995-12-14 09:53:45	ga_ls5t_ard_3-0-0_106068_1995-12-14_final
1996-10-16 09:03:45	ga_ls5t_ard_3-0-0_095067_1996-10-15_final
1997-01-15 10:31:13	ga_ls5t_ard_3-0-0_108074_1997-01-15_final
1997-06-29 09:14:19	ga_ls5t_ard_3-1-0_095067_1997-06-28_final
1998-06-02 10:51:50	ga_ls5t_ard_3-0-0_109075_1998-06-02_final
1999-06-27 10:17:16	ga_ls5t_ard_3-0-0_103081_1999-06-27_final
1999-09-26 09:56:12	ga_ls5t_ard_3-0-0_100078_1999-09-26_final
1999-11-22 09:48:57	ga_ls5t_ard_3-0-0_099078_1999-11-22_final
2003-09-14 09:53:00	ga_ls5t_ard_3-0-0_099083_2003-09-14_final
2003-12-28 09:43:16	ga_ls5t_ard_3-0-0_098071_2003-12-28_final
2004-01-20 09:51:55	ga_ls5t_ard_3-0-0_099077_2004-01-20_final
2004-07-13 10:49:48	ga_ls5t_ard_3-0-0_108074_2004-07-13_final
2004-12-12 10:03:44	ga_ls5t_ard_3-0-0_100074_2004-12-12_final
2005-02-16 09:51:07	ga_ls5t_ard_3-0-0_098071_2005-02-16_final
2005-04-28 10:00:17	ga_ls5t_ard_3-0-0_099077_2005-04-28_final
2005-04-28 10:01:05	ga_ls5t_ard_3-0-0_099079_2005-04-28_final
2005-05-20 11:01:03	ga_ls5t_ard_3-0-0_109074_2005-05-20_final
2006-04-24 11:38:51	ga_ls5t_ard_3-0-0_114080_2006-04-24_final
2006-06-27 10:00:30	ga_ls5t_ard_3-0-0_098079_2006-06-27_final
2006-10-19 11:23:39	ga_ls5t_ard_3-1-0_112067_2006-10-19_final
2006-12-22 09:52:06	ga_ls5t_ard_3-0-0_096084_2006-12-22_final
2007-07-23 11:45:36	ga_ls5t_ard_3-0-0_115077_2007-07-23_final
2008-01-28 11:09:12	ga_ls5t_ard_3-0-0_110070_2008-01-28_final
2008-03-29 10:39:32	ga_ls5t_ard_3-0-0_105076_2008-03-29_final
2009-01-06 10:14:05	ga_ls5t_ard_3-0-0_102071_2009-01-06_final
2010-02-09 09:37:18	ga_ls5t_ard_3-0-0_095072_2010-02-09_final
2010-05-07 11:23:04	ga_ls5t_ard_3-0-0_112074_2010-05-07_final
2011-10-31 09:57:35	ga_ls5t_ard_3-0-0_098084_2011-10-31_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