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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

45 results

Time (local)	Label
1987-05-24 09:21:49	ga_ls5t_ard_3-0-0_096085_1987-05-23_final
1987-09-10 08:54:00	ga_ls5t_ard_3-0-0_091086_1987-09-09_final
1989-02-05 08:44:33	ga_ls5t_ard_3-0-0_089085_1989-02-04_final
1989-08-06 09:40:51	ga_ls5t_ard_3-0-0_099079_1989-08-06_final
1989-08-25 08:33:39	ga_ls5t_ard_3-0-0_088082_1989-08-24_final
1989-11-04 08:36:24	ga_ls5t_ard_3-0-0_089078_1989-11-03_final
1990-02-27 09:06:08	ga_ls5t_ard_3-0-0_094084_1990-02-26_final
1991-02-17 09:34:47	ga_ls5t_ard_3-0-0_099079_1991-02-17_final
1991-08-02 09:03:54	ga_ls5t_ard_3-1-0_093088_1991-08-01_final
1991-11-16 09:38:07	ga_ls5t_ard_3-0-0_099079_1991-11-16_final
1992-02-25 09:52:16	ga_ls5t_ard_3-0-0_102068_1992-02-25_final
1992-11-03 08:43:09	ga_ls5t_ard_3-0-0_090088_1992-11-02_final
1994-01-18 08:33:27	ga_ls5t_ard_3-0-0_089079_1994-01-17_final
1994-12-13 09:59:45	ga_ls5t_ard_3-0-0_104082_1994-12-13_final
1995-11-03 08:22:48	ga_ls5t_ard_3-0-0_091076_1995-11-02_final
1996-03-13 10:43:28	ga_ls5t_ard_3-0-0_112084_1996-03-13_final
1996-03-20 09:05:14	ga_ls5t_ard_3-1-0_097069_1996-03-19_final
1996-07-01 09:20:59	ga_ls5t_ard_3-0-0_098078_1996-06-30_final
1997-01-23 09:40:57	ga_ls5t_ard_3-0-0_100071_1997-01-23_final
1997-02-17 09:39:03	ga_ls5t_ard_3-0-0_099079_1997-02-17_final
1997-10-09 10:19:41	ga_ls5t_ard_3-0-0_105068_1997-10-09_final
1998-01-07 09:26:06	ga_ls5t_ard_3-0-0_095083_1998-01-06_final
1998-10-06 11:04:31	ga_ls5t_ard_3-0-0_111073_1998-10-06_final
1998-12-31 10:31:41	ga_ls5t_ard_3-1-0_105083_1998-12-31_final
1999-02-07 09:53:04	ga_ls5t_ard_3-0-0_099079_1999-02-07_final
1999-10-26 10:09:41	ga_ls5t_ard_3-0-0_102081_1999-10-26_final
2003-10-11 11:10:06	ga_ls5t_ard_3-0-0_112074_2003-10-11_final
2004-01-20 09:51:55	ga_ls5t_ard_3-0-0_099077_2004-01-20_final
2004-04-01 10:41:23	ga_ls5t_ard_3-0-0_107076_2004-04-01_final
2004-10-04 09:48:12	ga_ls5t_ard_3-0-0_097085_2004-10-04_final
2004-11-03 09:55:37	ga_ls5t_ard_3-0-0_099071_2004-11-03_final
2004-11-25 10:59:47	ga_ls5t_ard_3-0-0_109076_2004-11-25_final
2005-01-13 10:05:22	ga_ls5t_ard_3-0-0_100077_2005-01-13_final
2005-04-27 10:56:19	ga_ls5t_ard_3-0-0_108078_2005-04-27_final
2005-09-18 09:21:35	ga_ls5t_ard_3-0-0_092086_2005-09-17_final
2006-10-18 09:06:17	ga_ls5t_ard_3-0-0_089079_2006-10-17_final
2006-12-15 09:41:28	ga_ls5t_ard_3-0-0_095073_2006-12-15_final
2007-08-08 10:04:10	ga_ls5t_ard_3-0-0_099071_2007-08-08_final
2008-01-23 09:14:16	ga_ls5t_ard_3-0-0_091076_2008-01-22_final
2008-10-31 09:43:07	ga_ls5t_ard_3-0-0_097074_2008-10-31_final
2008-12-09 09:51:23	ga_ls5t_ard_3-0-0_098078_2008-12-09_final
2009-11-11 09:02:03	ga_ls5t_ard_3-0-0_089078_2009-11-10_final
2010-05-05 09:54:34	ga_ls5t_ard_3-0-0_098069_2010-05-05_final
2011-01-17 09:02:03	ga_ls5t_ard_3-0-0_089079_2011-01-16_final
2011-11-07 09:58:25	ga_ls5t_ard_3-0-0_099071_2011-11-07_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