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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
1986-08-26 10:00:40	ga_ls5t_ard_3-0-0_103081_1986-08-26_final
1987-10-20 09:43:27	ga_ls5t_ard_3-0-0_099084_1987-10-20_final
1987-11-25 09:12:40	ga_ls5t_ard_3-0-0_095067_1987-11-24_final
1987-12-27 09:13:08	ga_ls5t_ard_3-0-0_095067_1987-12-26_final
1988-09-28 10:35:12	ga_ls5t_ard_3-0-0_107082_1988-09-28_final
1988-11-15 08:59:03	ga_ls5t_ard_3-0-0_091089_1988-11-14_final
1989-03-05 09:07:18	ga_ls5t_ard_3-0-0_093081_1989-03-04_final
1989-03-12 10:52:08	ga_ls5t_ard_3-0-0_110081_1989-03-12_final
1990-07-22 09:47:56	ga_ls5t_ard_3-1-0_101083_1990-07-22_final
1990-08-21 09:59:46	ga_ls5t_ard_3-0-0_103082_1990-08-21_final
1991-08-04 10:25:39	ga_ls5t_ard_3-0-0_107076_1991-08-04_final
1991-09-25 10:03:46	ga_ls5t_ard_3-0-0_103082_1991-09-25_final
1992-08-27 10:45:04	ga_ls5t_ard_3-0-0_110081_1992-08-27_final
1993-02-10 09:09:08	ga_ls5t_ard_3-0-0_095074_1993-02-09_final
1994-04-29 08:53:41	ga_ls5t_ard_3-0-0_092087_1994-04-28_final
1994-08-08 10:44:22	ga_ls5t_ard_3-0-0_111076_1994-08-08_final
1995-03-13 10:30:37	ga_ls5t_ard_3-0-0_110075_1995-03-13_final
1995-05-14 10:43:56	ga_ls5t_ard_3-0-0_112084_1995-05-14_final
1996-05-29 10:16:49	ga_ls5t_ard_3-0-0_107083_1996-05-29_final
1996-06-06 09:25:02	ga_ls5t_ard_3-0-0_099076_1996-06-05_final
1996-06-30 08:36:28	ga_ls5t_ard_3-1-0_091075_1996-06-29_final
1997-05-24 11:20:41	ga_ls5t_ard_3-0-0_115077_1997-05-24_final
1998-06-16 09:22:18	ga_ls5t_ard_3-0-0_095067_1998-06-15_final
1998-12-27 10:53:37	ga_ls5t_ard_3-0-0_109076_1998-12-27_final
1999-01-26 09:23:27	ga_ls5t_ard_3-0-0_095067_1999-01-25_final
1999-10-19 10:04:27	ga_ls5t_ard_3-0-0_101083_1999-10-19_final
2003-10-10 10:30:01	ga_ls5t_ard_3-0-0_105082_2003-10-10_final
2004-11-05 11:24:58	ga_ls5t_ard_3-0-0_113078_2004-11-05_final
2004-11-26 10:02:11	ga_ls5t_ard_3-0-0_100071_2004-11-26_final
2004-12-06 10:41:30	ga_ls5t_ard_3-0-0_106076_2004-12-06_final
2005-01-30 10:48:04	ga_ls5t_ard_3-0-0_107075_2005-01-30_final
2005-06-08 09:56:50	ga_ls5t_ard_3-0-0_098083_2005-06-08_final
2006-05-05 09:43:35	ga_ls5t_ard_3-0-0_095085_2006-05-05_final
2006-06-18 10:02:09	ga_ls5t_ard_3-0-0_099068_2006-06-18_final
2006-12-31 09:39:12	ga_ls5t_ard_3-0-0_095067_2006-12-31_final
2007-07-06 09:27:11	ga_ls5t_ard_3-0-0_092086_2007-07-05_final
2008-02-24 09:15:18	ga_ls5t_ard_3-0-0_091080_2008-02-23_final
2008-03-23 09:34:16	ga_ls5t_ard_3-0-0_095067_2008-03-23_final
2008-11-25 09:39:46	ga_ls5t_ard_3-0-0_096081_2008-11-25_final
2010-05-02 11:04:32	ga_ls5t_ard_3-0-0_109074_2010-05-02_final
2010-06-08 09:41:16	ga_ls5t_ard_3-1-0_096067_2010-06-08_final
2011-09-17 11:12:23	ga_ls5t_ard_3-0-0_110084_2011-09-17_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