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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

43 results

Time (local)	Label
1987-05-19 10:37:38	ga_ls5t_ard_3-0-0_109074_1987-05-19_final
1987-12-02 09:18:56	ga_ls5t_ard_3-0-0_096067_1987-12-01_final
1988-09-27 09:49:57	ga_ls5t_ard_3-0-0_100077_1988-09-27_final
1988-10-30 08:58:39	ga_ls5t_ard_3-0-0_091088_1988-10-29_final
1988-11-27 10:56:17	ga_ls5t_ard_3-0-0_111073_1988-11-27_final
1989-02-22 09:20:30	ga_ls5t_ard_3-0-0_096067_1989-02-21_final
1989-10-04 09:16:14	ga_ls5t_ard_3-0-0_096067_1989-10-03_final
1990-07-07 10:27:41	ga_ls5t_ard_3-0-0_108074_1990-07-07_final
1990-09-21 09:10:22	ga_ls5t_ard_3-0-0_096067_1990-09-20_final
1990-12-26 09:10:14	ga_ls5t_ard_3-0-0_096067_1990-12-25_final
1991-05-19 09:13:04	ga_ls5t_ard_3-0-0_096067_1991-05-18_final
1991-12-29 09:14:55	ga_ls5t_ard_3-0-0_096067_1991-12-28_final
1992-10-28 09:11:58	ga_ls5t_ard_3-0-0_096067_1992-10-27_final
1993-03-21 09:12:45	ga_ls5t_ard_3-0-0_096067_1993-03-20_final
1993-05-20 09:41:47	ga_ls5t_ard_3-0-0_100077_1993-05-20_final
1993-10-19 08:50:50	ga_ls5t_ard_3-1-0_092074_1993-10-18_final
1993-10-31 09:12:41	ga_ls5t_ard_3-0-0_096067_1993-10-30_final
1993-12-02 09:12:28	ga_ls5t_ard_3-0-0_096067_1993-12-01_final
1995-03-20 08:54:26	ga_ls5t_ard_3-0-0_095067_1995-03-19_final
1996-05-16 09:01:43	ga_ls5t_ard_3-0-0_096067_1996-05-15_final
1996-05-23 09:15:05	ga_ls5t_ard_3-0-0_097084_1996-05-22_final
1997-06-20 09:20:10	ga_ls5t_ard_3-0-0_096067_1997-06-19_final
1997-09-24 09:23:15	ga_ls5t_ard_3-0-0_096067_1997-09-23_final
1998-05-31 09:22:06	ga_ls5t_ard_3-0-0_095067_1998-05-30_final
1998-08-10 09:29:00	ga_ls5t_ard_3-0-0_096067_1998-08-09_final
1999-03-06 09:29:44	ga_ls5t_ard_3-1-0_096067_1999-03-05_final
1999-09-25 09:16:32	ga_ls5t_ard_3-0-0_093087_1999-09-24_final
2003-08-24 09:27:43	ga_ls5t_ard_3-0-0_096067_2003-08-23_final
2004-04-21 10:19:17	ga_ls5t_ard_3-0-0_103081_2004-04-21_final
2004-07-06 10:43:49	ga_ls5t_ard_3-0-0_107075_2004-07-06_final
2004-09-24 10:45:48	ga_ls5t_ard_3-0-0_107075_2004-09-24_final
2004-11-11 10:46:46	ga_ls5t_ard_3-0-0_107075_2004-11-11_final
2005-02-28 10:20:01	ga_ls5t_ard_3-0-0_102081_2005-02-28_final
2005-06-07 10:49:15	ga_ls5t_ard_3-1-0_107075_2005-06-07_final
2005-10-29 10:49:47	ga_ls5t_ard_3-0-0_107075_2005-10-29_final
2005-11-14 10:50:07	ga_ls5t_ard_3-0-0_107075_2005-11-14_final
2007-04-13 09:45:23	ga_ls5t_ard_3-0-0_096067_2007-04-13_final
2007-08-15 10:12:41	ga_ls5t_ard_3-0-0_100077_2007-08-15_final
2007-09-04 09:43:46	ga_ls5t_ard_3-0-0_096067_2007-09-04_final
2008-04-15 09:39:55	ga_ls5t_ard_3-0-0_096067_2008-04-15_final
2008-05-01 09:39:30	ga_ls5t_ard_3-0-0_096067_2008-05-01_final
2008-06-02 09:38:37	ga_ls5t_ard_3-0-0_096067_2008-06-02_final
2009-03-01 11:20:52	ga_ls5t_ard_3-0-0_112080_2009-03-01_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