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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
1987-11-20 10:35:43	ga_ls5t_ard_3-0-0_108074_1987-11-20_final
1988-03-30 11:09:17	ga_ls5t_ard_3-0-0_113076_1988-03-30_final
1988-07-25 09:50:01	ga_ls5t_ard_3-0-0_100077_1988-07-25_final
1988-09-11 09:50:04	ga_ls5t_ard_3-0-0_100077_1988-09-11_final
1991-12-28 10:13:44	ga_ls5t_ard_3-0-0_105075_1991-12-28_final
1992-01-19 09:33:23	ga_ls5t_ard_3-0-0_099067_1992-01-19_final
1992-11-25 09:40:19	ga_ls5t_ard_3-0-0_100077_1992-11-25_final
1993-04-10 10:30:13	ga_ls5t_ard_3-0-0_108075_1993-04-10_final
1993-09-06 10:48:27	ga_ls5t_ard_3-0-0_111074_1993-09-06_final
1993-10-12 10:23:59	ga_ls5t_ard_3-0-0_107075_1993-10-12_final
1994-02-22 09:01:57	ga_ls5t_ard_3-0-0_094074_1994-02-21_final
1994-06-14 08:57:11	ga_ls5t_ard_3-0-0_094067_1994-06-13_final
1994-10-20 10:37:00	ga_ls5t_ard_3-0-0_110078_1994-10-20_final
1995-05-18 10:15:02	ga_ls5t_ard_3-0-0_108074_1995-05-18_final
1995-05-27 10:08:50	ga_ls5t_ard_3-0-0_107075_1995-05-27_final
1995-11-20 09:05:21	ga_ls5t_ard_3-0-0_098074_1995-11-19_final
1995-12-10 10:24:33	ga_ls5t_ard_3-0-0_110084_1995-12-10_final
1996-06-25 09:59:21	ga_ls5t_ard_3-0-0_104082_1996-06-25_final
1996-07-07 08:43:00	ga_ls5t_ard_3-1-0_092075_1996-07-06_final
1996-07-30 10:28:54	ga_ls5t_ard_3-0-0_109074_1996-07-30_final
1997-02-17 09:38:15	ga_ls5t_ard_3-0-0_099077_1997-02-17_final
1997-06-24 10:37:17	ga_ls5t_ard_3-0-0_108074_1997-06-24_final
1997-10-07 10:34:47	ga_ls5t_ard_3-0-0_107075_1997-10-07_final
1998-02-26 09:11:57	ga_ls5t_ard_3-0-0_093076_1998-02-25_final
1998-06-18 10:51:14	ga_ls5t_ard_3-0-0_109073_1998-06-18_final
1998-08-18 10:22:06	ga_ls5t_ard_3-0-0_104076_1998-08-18_final
1999-09-23 09:27:18	ga_ls5t_ard_3-0-0_095083_1999-09-22_final
2003-08-29 11:29:13	ga_ls5t_ard_3-0-0_115077_2003-08-29_final
2004-01-26 10:52:57	ga_ls5t_ard_3-0-0_109075_2004-01-26_final
2004-05-26 10:48:23	ga_ls5t_ard_3-0-0_108074_2004-05-26_final
2004-08-21 10:57:17	ga_ls5t_ard_3-0-0_109075_2004-08-21_final
2005-03-15 11:15:02	ga_ls5t_ard_3-0-0_111079_2005-03-15_final
2005-06-07 09:15:34	ga_ls5t_ard_3-0-0_091088_2005-06-06_final
2005-06-10 11:19:47	ga_ls5t_ard_3-0-0_112074_2005-06-10_final
2005-07-25 09:11:08	ga_ls5t_ard_3-0-0_091076_2005-07-24_final
2005-10-01 10:27:32	ga_ls5t_ard_3-0-0_103081_2005-10-01_final
2006-11-08 09:28:36	ga_ls5t_ard_3-0-0_092088_2006-11-07_final
2006-12-28 09:16:40	ga_ls5t_ard_3-0-0_090088_2006-12-27_final
2006-12-31 11:18:05	ga_ls5t_ard_3-0-0_111067_2006-12-31_final
2007-09-23 10:20:06	ga_ls5t_ard_3-0-0_101081_2007-09-23_final
2009-03-03 11:03:22	ga_ls5t_ard_3-0-0_110067_2009-03-03_final
2009-10-24 09:17:27	ga_ls5t_ard_3-0-0_091086_2009-10-23_final
2010-02-02 09:29:06	ga_ls5t_ard_3-1-0_094067_2010-02-01_final
2010-04-16 11:04:37	ga_ls5t_ard_3-0-0_109074_2010-04-16_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