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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

44 results

Time (local)	Label
1987-07-13 09:03:21	ga_ls5t_ard_3-0-0_094067_1987-07-12_final
1988-02-25 09:43:39	ga_ls5t_ard_3-0-0_099079_1988-02-25_final
1988-04-26 09:08:24	ga_ls5t_ard_3-0-0_094067_1988-04-25_final
1989-09-04 09:04:32	ga_ls5t_ard_3-0-0_094067_1989-09-03_final
1989-12-25 09:01:25	ga_ls5t_ard_3-0-0_094067_1989-12-24_final
1990-03-31 08:58:18	ga_ls5t_ard_3-0-0_094067_1990-03-30_final
1990-07-15 09:39:24	ga_ls5t_ard_3-0-0_100077_1990-07-15_final
1991-05-25 08:41:42	ga_ls5t_ard_3-0-0_090081_1991-05-24_final
1992-06-03 08:52:00	ga_ls5t_ard_3-0-0_091089_1992-06-02_final
1992-08-27 09:00:36	ga_ls5t_ard_3-0-0_094067_1992-08-26_final
1992-11-09 09:40:25	ga_ls5t_ard_3-0-0_100077_1992-11-09_final
1992-12-17 09:07:06	ga_ls5t_ard_3-0-0_094086_1992-12-16_final
1993-03-10 09:36:52	ga_ls5t_ard_3-0-0_099081_1993-03-10_final
1993-05-26 09:00:45	ga_ls5t_ard_3-0-0_094067_1993-05-25_final
1993-07-23 09:41:41	ga_ls5t_ard_3-0-0_100077_1993-07-23_final
1994-04-07 09:27:58	ga_ls5t_ard_3-0-0_098079_1994-04-06_final
1994-06-24 09:38:01	ga_ls5t_ard_3-0-0_100077_1994-06-24_final
1994-06-24 09:38:25	ga_ls5t_ard_3-0-0_100078_1994-06-24_final
1995-10-01 09:21:14	ga_ls5t_ard_3-0-0_100079_1995-09-30_final
1995-11-17 08:36:44	ga_ls5t_ard_3-0-0_093080_1995-11-16_final
1996-02-04 09:37:55	ga_ls5t_ard_3-0-0_102081_1996-02-04_final
1997-07-11 11:22:20	ga_ls5t_ard_3-0-0_115077_1997-07-11_final
1997-11-13 09:12:12	ga_ls5t_ard_3-0-0_094067_1997-11-12_final
1998-05-31 11:02:35	ga_ls5t_ard_3-1-0_111071_1998-05-31_final
1998-06-09 09:16:03	ga_ls5t_ard_3-0-0_094067_1998-06-08_final
1999-02-18 09:36:38	ga_ls5t_ard_3-1-0_096084_1999-02-18_final
1999-04-25 09:16:57	ga_ls5t_ard_3-0-0_094067_1999-04-24_final
2003-10-24 10:42:10	ga_ls5t_ard_3-0-0_107081_2003-10-24_final
2004-04-15 10:53:24	ga_ls5t_ard_3-0-0_109074_2004-04-15_final
2005-02-20 09:24:52	ga_ls5t_ard_3-0-0_094067_2005-02-19_final
2005-07-09 10:49:50	ga_ls5t_ard_3-0-0_107076_2005-07-09_final
2006-06-01 11:00:18	ga_ls5t_ard_3-0-0_108075_2006-06-01_final
2006-06-24 09:29:33	ga_ls5t_ard_3-0-0_093079_2006-06-23_final
2006-07-20 10:06:36	ga_ls5t_ard_3-0-0_099078_2006-07-20_final
2006-09-13 10:13:05	ga_ls5t_ard_3-0-0_100077_2006-09-13_final
2006-11-01 10:54:04	ga_ls5t_ard_3-0-0_107070_2006-11-01_final
2007-01-25 11:13:15	ga_ls5t_ard_3-0-0_110070_2007-01-25_final
2007-06-14 09:58:13	ga_ls5t_ard_3-0-0_098070_2007-06-14_final
2008-01-12 09:29:26	ga_ls5t_ard_3-0-0_094067_2008-01-11_final
2008-05-03 09:27:05	ga_ls5t_ard_3-0-0_094067_2008-05-02_final
2008-12-13 09:22:23	ga_ls5t_ard_3-0-0_094067_2008-12-12_final
2009-09-14 10:03:15	ga_ls5t_ard_3-0-0_099078_2009-09-14_final
2010-05-25 09:28:58	ga_ls5t_ard_3-0-0_094067_2010-05-24_final
2011-05-23 10:51:18	ga_ls5t_ard_3-0-0_107075_2011-05-23_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