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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
1987-07-16 09:35:30	ga_ls5t_ard_3-0-0_099070_1987-07-16_final
1987-12-15 08:53:48	ga_ls5t_ard_3-0-0_091081_1987-12-14_final
1988-08-14 09:23:42	ga_ls5t_ard_3-0-0_096073_1988-08-13_final
1989-01-11 08:50:55	ga_ls5t_ard_3-0-0_090085_1989-01-10_final
1989-05-24 10:42:07	ga_ls5t_ard_3-0-0_109074_1989-05-24_final
1989-05-26 08:56:50	ga_ls5t_ard_3-0-0_091089_1989-05-25_final
1990-05-05 09:33:40	ga_ls5t_ard_3-0-0_099078_1990-05-05_final
1990-09-27 08:42:00	ga_ls5t_ard_3-0-0_090089_1990-09-26_final
1990-12-31 09:30:32	ga_ls5t_ard_3-0-0_099071_1990-12-31_final
1991-03-05 11:13:33	ga_ls5t_ard_3-0-0_115078_1991-03-05_final
1991-08-11 08:56:58	ga_ls5t_ard_3-1-0_092086_1991-08-10_final
1991-12-19 08:46:37	ga_ls5t_ard_3-0-0_090089_1991-12-18_final
1992-05-15 09:56:57	ga_ls5t_ard_3-0-0_102081_1992-05-15_final
1992-07-17 09:13:23	ga_ls5t_ard_3-0-0_095082_1992-07-16_final
1993-04-08 09:03:16	ga_ls5t_ard_3-0-0_094074_1993-04-07_final
1993-09-06 09:09:10	ga_ls5t_ard_3-0-0_095073_1993-09-05_final
1993-12-14 09:43:30	ga_ls5t_ard_3-1-0_100083_1993-12-14_final
1994-01-16 10:21:08	ga_ls5t_ard_3-0-0_107070_1994-01-16_final
1994-01-24 09:31:12	ga_ls5t_ard_3-0-0_099069_1994-01-24_final
1994-04-20 10:34:30	ga_ls5t_ard_3-0-0_109076_1994-04-20_final
1994-04-30 11:11:01	ga_ls5t_ard_3-0-0_115075_1994-04-30_final
1994-07-29 08:29:52	ga_ls5t_ard_3-0-0_089079_1994-07-28_final
1994-08-27 09:35:57	ga_ls5t_ard_3-0-0_100076_1994-08-27_final
1995-03-07 09:30:16	ga_ls5t_ard_3-0-0_100078_1995-03-07_final
1995-03-16 09:23:19	ga_ls5t_ard_3-0-0_099077_1995-03-15_final
1995-05-19 09:20:58	ga_ls5t_ard_3-0-0_099078_1995-05-18_final
1995-11-05 09:46:07	ga_ls5t_ard_3-0-0_105068_1995-11-05_final
1996-11-13 09:34:12	ga_ls5t_ard_3-0-0_099078_1996-11-13_final
1997-02-02 10:18:52	ga_ls5t_ard_3-0-0_106072_1997-02-02_final
1997-09-24 11:07:43	ga_ls5t_ard_3-0-0_112081_1997-09-24_final
1997-12-18 11:27:14	ga_ls5t_ard_3-0-0_115078_1997-12-18_final
1998-06-28 09:51:56	ga_ls5t_ard_3-0-0_099079_1998-06-28_final
1999-05-27 10:57:16	ga_ls5t_ard_3-0-0_110072_1999-05-27_final
1999-06-22 09:57:36	ga_ls5t_ard_3-0-0_100078_1999-06-22_final
1999-07-01 09:48:31	ga_ls5t_ard_3-0-0_099071_1999-07-01_final
2004-08-15 09:56:54	ga_ls5t_ard_3-0-0_099079_2004-08-15_final
2005-03-20 09:53:56	ga_ls5t_ard_3-0-0_098077_2005-03-20_final
2005-07-23 11:01:34	ga_ls5t_ard_3-0-0_109074_2005-07-23_final
2006-02-01 10:09:07	ga_ls5t_ard_3-0-0_100076_2006-02-01_final
2006-07-28 09:22:03	ga_ls5t_ard_3-0-0_091090_2006-07-27_final
2007-05-06 11:30:17	ga_ls5t_ard_3-0-0_113067_2007-05-06_final
2008-10-06 09:53:44	ga_ls5t_ard_3-0-0_098083_2008-10-06_final
2009-02-13 09:43:11	ga_ls5t_ard_3-0-0_096084_2009-02-13_final
2010-10-02 09:24:20	ga_ls5t_ard_3-0-0_092088_2010-10-01_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