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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
1987-10-11 09:44:18	ga_ls5t_ard_3-0-0_100071_1987-10-11_final
1988-03-21 09:38:06	ga_ls5t_ard_3-0-0_098080_1988-03-21_final
1988-03-28 09:40:21	ga_ls5t_ard_3-0-0_099070_1988-03-28_final
1988-04-17 09:22:06	ga_ls5t_ard_3-0-0_095086_1988-04-16_final
1988-05-15 09:40:42	ga_ls5t_ard_3-0-0_099070_1988-05-15_final
1988-12-17 10:31:42	ga_ls5t_ard_3-0-0_107074_1988-12-17_final
1989-08-31 09:36:07	ga_ls5t_ard_3-0-0_098084_1989-08-31_final
1989-12-11 10:31:08	ga_ls5t_ard_3-0-0_108074_1989-12-11_final
1991-08-04 08:51:10	ga_ls5t_ard_3-0-0_091087_1991-08-03_final
1991-09-10 09:08:04	ga_ls5t_ard_3-0-0_094082_1991-09-09_final
1992-07-21 10:27:53	ga_ls5t_ard_3-0-0_107083_1992-07-21_final
1992-10-29 09:56:24	ga_ls5t_ard_3-0-0_103070_1992-10-29_final
1992-12-03 08:53:01	ga_ls5t_ard_3-0-0_092082_1992-12-02_final
1993-03-10 11:14:09	ga_ls5t_ard_3-0-0_115077_1993-03-10_final
1993-04-08 09:08:03	ga_ls5t_ard_3-0-0_094086_1993-04-07_final
1993-12-06 10:29:25	ga_ls5t_ard_3-0-0_108074_1993-12-06_final
1994-04-24 10:06:31	ga_ls5t_ard_3-0-0_105068_1994-04-24_final
1994-06-24 09:38:25	ga_ls5t_ard_3-0-0_100078_1994-06-24_final
1995-07-22 09:17:39	ga_ls5t_ard_3-0-0_099077_1995-07-21_final
1995-09-15 09:21:40	ga_ls5t_ard_3-0-0_100078_1995-09-14_final
1995-09-24 09:15:02	ga_ls5t_ard_3-0-0_099078_1995-09-23_final
1996-06-10 08:58:56	ga_ls5t_ard_3-0-0_095072_1996-06-09_final
1996-08-17 08:43:47	ga_ls5t_ard_3-0-0_091087_1996-08-16_final
1997-03-05 09:41:17	ga_ls5t_ard_3-0-0_099083_1997-03-05_final
1997-04-12 10:42:31	ga_ls5t_ard_3-0-0_109078_1997-04-12_final
1997-06-24 10:37:17	ga_ls5t_ard_3-0-0_108074_1997-06-24_final
1997-11-09 09:41:38	ga_ls5t_ard_3-0-0_098079_1997-11-09_final
1998-05-03 09:02:55	ga_ls5t_ard_3-0-0_091082_1998-05-02_final
1998-10-12 08:50:32	ga_ls5t_ard_3-0-0_089078_1998-10-11_final
1999-06-12 09:22:11	ga_ls5t_ard_3-0-0_094082_1999-06-11_final
2003-07-13 10:31:57	ga_ls5t_ard_3-0-0_106075_2003-07-13_final
2004-01-20 09:53:07	ga_ls5t_ard_3-0-0_099080_2004-01-20_final
2004-03-09 10:35:02	ga_ls5t_ard_3-0-0_106076_2004-03-09_final
2004-08-23 09:06:30	ga_ls5t_ard_3-0-0_091076_2004-08-22_final
2004-09-01 10:39:26	ga_ls5t_ard_3-0-0_106076_2004-09-01_final
2004-09-24 10:45:48	ga_ls5t_ard_3-0-0_107075_2004-09-24_final
2004-11-20 10:41:06	ga_ls5t_ard_3-0-0_106076_2004-11-20_final
2005-04-13 09:09:47	ga_ls5t_ard_3-0-0_090090_2005-04-12_final
2005-07-10 09:51:26	ga_ls5t_ard_3-0-0_098069_2005-07-10_final
2005-08-11 09:52:57	ga_ls5t_ard_3-0-0_098072_2005-08-11_final
2006-10-07 09:20:19	ga_ls5t_ard_3-0-0_092068_2006-10-06_final
2009-02-09 10:05:01	ga_ls5t_ard_3-0-0_100077_2009-02-09_final
2010-01-30 09:06:58	ga_ls5t_ard_3-0-0_089089_2010-01-29_final
2011-02-27 10:35:35	ga_ls5t_ard_3-0-0_104081_2011-02-27_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