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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
1988-03-27 08:59:05	ga_ls5t_ard_3-0-0_092075_1988-03-26_final
1988-11-09 09:34:09	ga_ls5t_ard_3-1-0_097084_1988-11-09_final
1989-07-22 10:22:01	ga_ls5t_ard_3-0-0_106073_1989-07-22_final
1989-12-19 09:41:04	ga_ls5t_ard_3-0-0_100073_1989-12-19_final
1990-12-24 09:23:22	ga_ls5t_ard_3-0-0_098069_1990-12-23_final
1991-11-26 10:16:54	ga_ls5t_ard_3-1-0_105083_1991-11-26_final
1992-04-13 09:57:38	ga_ls5t_ard_3-0-0_102082_1992-04-13_final
1992-08-24 10:12:37	ga_ls5t_ard_3-0-0_105077_1992-08-24_final
1992-10-02 08:42:49	ga_ls5t_ard_3-0-0_090086_1992-10-01_final
1992-11-08 09:00:23	ga_ls5t_ard_3-0-0_093085_1992-11-07_final
1993-02-13 09:41:39	ga_ls5t_ard_3-0-0_100078_1993-02-13_final
1994-08-10 08:49:29	ga_ls5t_ard_3-0-0_093067_1994-08-09_final
1994-08-10 10:31:10	ga_ls5t_ard_3-0-0_109074_1994-08-10_final
1994-12-14 09:00:30	ga_ls5t_ard_3-0-0_095073_1994-12-13_final
1995-06-19 10:13:58	ga_ls5t_ard_3-0-0_108075_1995-06-19_final
1995-09-30 08:36:26	ga_ls5t_ard_3-0-0_093075_1995-09-29_final
1995-11-02 09:19:38	ga_ls5t_ard_3-0-0_100079_1995-11-01_final
1996-09-19 09:27:40	ga_ls5t_ard_3-0-0_098084_1996-09-18_final
1997-01-30 09:48:14	ga_ls5t_ard_3-1-0_101073_1997-01-30_final
1997-03-05 11:18:11	ga_ls5t_ard_3-0-0_115078_1997-03-05_final
1998-01-12 09:45:09	ga_ls5t_ard_3-0-0_098084_1998-01-12_final
1998-04-07 10:02:46	ga_ls5t_ard_3-0-0_101078_1998-04-07_final
1998-06-17 10:11:09	ga_ls5t_ard_3-0-0_102081_1998-06-17_final
1998-10-10 09:06:54	ga_ls5t_ard_3-0-0_091088_1998-10-09_final
1998-10-18 09:52:44	ga_ls5t_ard_3-0-0_099079_1998-10-18_final
1999-03-06 09:32:08	ga_ls5t_ard_3-0-0_096073_1999-03-06_final
1999-05-14 09:47:39	ga_ls5t_ard_3-0-0_099067_1999-05-14_final
2003-07-09 10:59:00	ga_ls5t_ard_3-0-0_110081_2003-07-09_final
2005-01-08 09:43:35	ga_ls5t_ard_3-0-0_097069_2005-01-08_final
2005-04-25 11:07:28	ga_ls5t_ard_3-0-0_110075_2005-04-25_final
2005-05-14 10:00:24	ga_ls5t_ard_3-0-0_099077_2005-05-14_final
2005-07-27 10:37:41	ga_ls5t_ard_3-0-0_105076_2005-07-27_final
2005-09-13 10:37:32	ga_ls5t_ard_3-0-0_105075_2005-09-13_final
2007-02-07 10:44:46	ga_ls5t_ard_3-0-0_105076_2007-02-07_final
2007-02-25 10:29:38	ga_ls5t_ard_3-0-0_103069_2007-02-25_final
2007-03-10 11:41:10	ga_ls5t_ard_3-0-0_114078_2007-03-10_final
2007-05-06 09:58:11	ga_ls5t_ard_3-0-0_097084_2007-05-06_final
2007-06-18 11:17:05	ga_ls5t_ard_3-0-0_110082_2007-06-18_final
2008-02-16 11:43:22	ga_ls5t_ard_3-0-0_115079_2008-02-16_final
2008-08-30 11:10:25	ga_ls5t_ard_3-1-0_111071_2008-08-30_final
2008-09-22 09:40:13	ga_ls5t_ard_3-0-0_096079_2008-09-22_final
2009-12-05 09:48:29	ga_ls5t_ard_3-0-0_097070_2009-12-05_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