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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
1987-10-12 10:31:34	ga_ls5t_ard_3-0-0_107081_1987-10-12_final
1988-01-09 10:26:55	ga_ls5t_ard_3-0-0_106081_1988-01-09_final
1988-11-15 10:34:44	ga_ls5t_ard_3-0-0_107081_1988-11-15_final
1988-12-17 10:33:42	ga_ls5t_ard_3-0-0_107079_1988-12-17_final
1989-01-02 08:56:00	ga_ls5t_ard_3-0-0_091082_1989-01-01_final
1989-01-11 08:52:31	ga_ls5t_ard_3-0-0_090089_1989-01-10_final
1989-02-16 10:03:14	ga_ls5t_ard_3-0-0_102081_1989-02-16_final
1989-08-14 10:30:53	ga_ls5t_ard_3-0-0_107081_1989-08-14_final
1990-05-10 09:53:29	ga_ls5t_ard_3-0-0_102081_1990-05-10_final
1991-03-20 08:55:21	ga_ls5t_ard_3-0-0_092087_1991-03-19_final
1991-05-17 09:30:33	ga_ls5t_ard_3-0-0_098080_1991-05-17_final
1991-10-23 10:28:17	ga_ls5t_ard_3-0-0_107081_1991-10-23_final
1992-02-10 09:04:13	ga_ls5t_ard_3-0-0_093087_1992-02-09_final
1992-03-28 09:56:31	ga_ls5t_ard_3-0-0_102079_1992-03-28_final
1992-07-18 09:56:13	ga_ls5t_ard_3-0-0_102081_1992-07-18_final
1992-12-12 10:25:25	ga_ls5t_ard_3-0-0_107081_1992-12-12_final
1994-02-28 10:06:03	ga_ls5t_ard_3-0-0_104080_1994-02-28_final
1994-06-25 10:22:51	ga_ls5t_ard_3-0-0_107081_1994-06-25_final
1994-12-13 09:59:45	ga_ls5t_ard_3-0-0_104082_1994-12-13_final
1995-01-10 08:43:02	ga_ls5t_ard_3-0-0_092078_1995-01-09_final
1995-01-31 10:36:52	ga_ls5t_ard_3-1-0_111071_1995-01-31_final
1995-09-09 10:00:14	ga_ls5t_ard_3-0-0_106081_1995-09-09_final
1997-09-30 10:30:48	ga_ls5t_ard_3-0-0_106081_1997-09-30_final
1997-12-10 10:38:48	ga_ls5t_ard_3-0-0_107081_1997-12-10_final
1997-12-19 10:32:50	ga_ls5t_ard_3-0-0_106081_1997-12-19_final
1998-11-27 10:43:10	ga_ls5t_ard_3-0-0_107081_1998-11-27_final
1999-04-29 10:36:41	ga_ls5t_ard_3-0-0_106081_1999-04-29_final
1999-05-22 10:42:27	ga_ls5t_ard_3-0-0_107081_1999-05-22_final
1999-06-23 10:42:27	ga_ls5t_ard_3-0-0_107082_1999-06-23_final
1999-07-23 09:17:46	ga_ls5t_ard_3-0-0_093087_1999-07-22_final
1999-12-05 10:57:50	ga_ls5t_ard_3-0-0_110081_1999-12-05_final
2003-08-05 10:40:57	ga_ls5t_ard_3-0-0_107081_2003-08-05_final
2004-01-25 10:08:53	ga_ls5t_ard_3-0-0_102073_2004-01-25_final
2004-05-19 10:44:48	ga_ls5t_ard_3-0-0_107081_2004-05-19_final
2004-07-31 10:40:38	ga_ls5t_ard_3-0-0_106081_2004-07-31_final
2004-11-24 10:18:29	ga_ls5t_ard_3-0-0_102081_2004-11-24_final
2005-08-10 10:52:09	ga_ls5t_ard_3-0-0_107081_2005-08-10_final
2006-08-18 09:39:40	ga_ls5t_ard_3-0-0_094087_2006-08-18_final
2006-11-17 10:58:36	ga_ls5t_ard_3-0-0_107081_2006-11-17_final
2008-03-04 09:11:20	ga_ls5t_ard_3-0-0_090086_2008-03-03_final
2008-09-22 09:42:13	ga_ls5t_ard_3-0-0_096084_2008-09-22_final
2008-10-23 10:33:38	ga_ls5t_ard_3-0-0_105076_2008-10-23_final
2009-08-21 09:12:17	ga_ls5t_ard_3-1-0_091075_2009-08-20_final
2011-08-13 10:38:39	ga_ls5t_ard_3-0-0_105076_2011-08-13_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