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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

42 results

Time (local)	Label
1987-12-27 10:54:25	ga_ls5t_ard_3-0-0_111073_1987-12-27_final
1988-02-26 10:28:08	ga_ls5t_ard_3-1-0_106082_1988-02-26_final
1988-11-09 09:34:09	ga_ls5t_ard_3-1-0_097084_1988-11-09_final
1989-04-17 10:23:01	ga_ls5t_ard_3-0-0_106071_1989-04-17_final
1989-07-15 10:19:34	ga_ls5t_ard_3-0-0_105082_1989-07-15_final
1989-11-19 09:32:11	ga_ls5t_ard_3-0-0_098080_1989-11-19_final
1990-11-27 09:46:47	ga_ls5t_ard_3-0-0_101082_1990-11-27_final
1991-03-29 10:26:31	ga_ls5t_ard_3-0-0_107083_1991-03-29_final
1992-01-11 10:25:36	ga_ls5t_ard_3-0-0_107074_1992-01-11_final
1992-02-08 10:50:16	ga_ls5t_ard_3-0-0_111074_1992-02-08_final
1992-02-19 10:30:30	ga_ls5t_ard_3-0-0_108071_1992-02-19_final
1992-06-19 08:50:10	ga_ls5t_ard_3-0-0_091085_1992-06-18_final
1992-08-11 10:46:08	ga_ls5t_ard_3-0-0_110083_1992-08-11_final
1992-09-25 10:14:06	ga_ls5t_ard_3-1-0_105082_1992-09-25_final
1992-11-29 09:11:41	ga_ls5t_ard_3-0-0_096067_1992-11-28_final
1993-05-12 08:56:19	ga_ls5t_ard_3-0-0_092087_1993-05-11_final
1993-07-24 10:24:09	ga_ls5t_ard_3-0-0_107075_1993-07-24_final
1994-08-04 09:27:54	ga_ls5t_ard_3-0-0_099070_1994-08-03_final
1995-03-14 09:35:45	ga_ls5t_ard_3-0-0_101077_1995-03-14_final
1995-05-03 09:21:18	ga_ls5t_ard_3-0-0_099077_1995-05-02_final
1995-06-27 09:27:21	ga_ls5t_ard_3-0-0_100083_1995-06-26_final
1996-12-02 10:05:13	ga_ls5t_ard_3-0-0_104076_1996-12-02_final
1997-02-18 10:19:57	ga_ls5t_ard_3-0-0_106073_1997-02-18_final
1997-08-16 09:23:30	ga_ls5t_ard_3-0-0_095086_1997-08-15_final
1999-01-29 09:58:20	ga_ls5t_ard_3-0-0_100077_1999-01-29_final
1999-03-18 09:58:17	ga_ls5t_ard_3-0-0_100077_1999-03-18_final
1999-09-19 09:50:33	ga_ls5t_ard_3-0-0_099079_1999-09-19_final
2003-10-01 10:33:16	ga_ls5t_ard_3-0-0_106075_2003-10-01_final
2004-02-09 11:04:34	ga_ls5t_ard_3-0-0_111073_2004-02-09_final
2004-12-11 10:59:44	ga_ls5t_ard_3-0-0_109075_2004-12-11_final
2006-03-02 09:37:39	ga_ls5t_ard_3-0-0_095073_2006-03-02_final
2006-04-06 10:10:25	ga_ls5t_ard_3-0-0_100076_2006-04-06_final
2006-05-06 10:20:04	ga_ls5t_ard_3-0-0_102068_2006-05-06_final
2006-05-17 10:02:27	ga_ls5t_ard_3-0-0_099070_2006-05-17_final
2006-10-19 11:23:39	ga_ls5t_ard_3-1-0_112067_2006-10-19_final
2007-05-04 10:08:10	ga_ls5t_ard_3-0-0_099078_2007-05-04_final
2008-02-08 10:50:29	ga_ls5t_ard_3-0-0_107070_2008-02-08_final
2008-10-06 09:53:44	ga_ls5t_ard_3-0-0_098083_2008-10-06_final
2009-02-14 10:21:41	ga_ls5t_ard_3-0-0_103072_2009-02-14_final
2010-04-20 10:37:29	ga_ls5t_ard_3-0-0_105068_2010-04-20_final
2010-12-06 10:00:07	ga_ls5t_ard_3-0-0_099070_2010-12-06_final
2011-01-02 11:22:11	ga_ls5t_ard_3-0-0_112074_2011-01-02_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years