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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

53 results

Time (local)	Label
1986-08-25 09:11:52	ga_ls5t_ard_3-0-0_096067_1986-08-24_final
1989-04-11 09:19:44	ga_ls5t_ard_3-0-0_096067_1989-04-10_final
1989-10-13 09:09:40	ga_ls5t_ard_3-0-0_095067_1989-10-12_final
1989-11-07 09:02:49	ga_ls5t_ard_3-0-0_094067_1989-11-06_final
1989-11-07 09:08:24	ga_ls5t_ard_3-0-0_094081_1989-11-06_final
1990-02-15 10:16:41	ga_ls5t_ard_3-0-0_106074_1990-02-15_final
1990-09-09 08:48:30	ga_ls5t_ard_3-1-0_092074_1990-09-08_final
1991-04-03 08:59:53	ga_ls5t_ard_3-0-0_094067_1991-04-02_final
1991-07-20 09:27:32	ga_ls5t_ard_3-0-0_098070_1991-07-19_final
1992-04-23 10:35:24	ga_ls5t_ard_3-1-0_108084_1992-04-23_final
1992-06-06 09:14:05	ga_ls5t_ard_3-0-0_096067_1992-06-05_final
1992-06-30 08:29:32	ga_ls5t_ard_3-1-0_088080_1992-06-29_final
1992-07-03 10:36:53	ga_ls5t_ard_3-0-0_109074_1992-07-03_final
1992-09-17 09:19:38	ga_ls5t_ard_3-0-0_097069_1992-09-16_final
1992-11-28 10:13:40	ga_ls5t_ard_3-1-0_105083_1992-11-28_final
1993-01-09 09:05:58	ga_ls5t_ard_3-0-0_095067_1993-01-08_final
1993-11-14 09:29:17	ga_ls5t_ard_3-0-0_098078_1993-11-13_final
1994-07-25 10:34:47	ga_ls5t_ard_3-0-0_109082_1994-07-25_final
1994-09-22 10:09:09	ga_ls5t_ard_3-0-0_106068_1994-09-22_final
1995-02-22 10:02:28	ga_ls5t_ard_3-0-0_105080_1995-02-22_final
1995-03-26 08:22:42	ga_ls5t_ard_3-0-0_089081_1995-03-25_final
1995-10-04 08:12:18	ga_ls5t_ard_3-1-0_089077_1995-10-03_final
1995-11-20 09:06:32	ga_ls5t_ard_3-0-0_098077_1995-11-19_final
1995-12-17 08:51:58	ga_ls5t_ard_3-0-0_095083_1995-12-16_final
1996-03-31 08:46:35	ga_ls5t_ard_3-0-0_094067_1996-03-30_final
1996-04-13 08:25:40	ga_ls5t_ard_3-1-0_089090_1996-04-12_final
1996-06-30 08:36:28	ga_ls5t_ard_3-1-0_091075_1996-06-29_final
1997-01-24 10:24:39	ga_ls5t_ard_3-0-0_107072_1997-01-24_final
1997-06-03 10:19:37	ga_ls5t_ard_3-0-0_105078_1997-06-03_final
1997-07-27 09:40:24	ga_ls5t_ard_3-0-0_099068_1997-07-27_final
1997-11-23 09:53:30	ga_ls5t_ard_3-0-0_100077_1997-11-23_final
1998-07-18 09:22:41	ga_ls5t_ard_3-0-0_095067_1998-07-17_final
1999-06-15 09:51:29	ga_ls5t_ard_3-0-0_099078_1999-06-15_final
2004-06-12 09:54:28	ga_ls5t_ard_3-0-0_099077_2004-06-12_final
2004-08-01 11:24:19	ga_ls5t_ard_3-0-0_113082_2004-08-01_final
2004-09-06 09:16:02	ga_ls5t_ard_3-1-0_093068_2004-09-05_final
2004-09-16 09:59:46	ga_ls5t_ard_3-0-0_099084_2004-09-16_final
2004-10-29 09:38:58	ga_ls5t_ard_3-0-0_096076_2004-10-29_final
2005-02-24 10:41:06	ga_ls5t_ard_3-0-0_106072_2005-02-24_final
2005-04-04 09:10:45	ga_ls5t_ard_3-0-0_091077_2005-04-03_final
2005-06-15 09:57:05	ga_ls5t_ard_3-0-0_099068_2005-06-15_final
2005-08-06 11:13:15	ga_ls5t_ard_3-0-0_111072_2005-08-06_final
2005-10-09 09:32:28	ga_ls5t_ard_3-1-0_095067_2005-10-09_final
2006-11-22 09:32:43	ga_ls5t_ard_3-0-0_094067_2006-11-22_final
2007-01-16 09:45:41	ga_ls5t_ard_3-0-0_095083_2007-01-16_final
2007-09-06 09:35:47	ga_ls5t_ard_3-0-0_094078_2007-09-06_final
2008-04-08 11:14:47	ga_ls5t_ard_3-0-0_111072_2008-04-08_final
2008-09-28 09:05:45	ga_ls5t_ard_3-0-0_090086_2008-09-27_final
2008-10-15 09:47:39	ga_ls5t_ard_3-0-0_097084_2008-10-15_final
2009-10-21 10:18:37	ga_ls5t_ard_3-0-0_102069_2009-10-21_final
2010-02-01 10:30:18	ga_ls5t_ard_3-0-0_103081_2010-02-01_final
2010-02-09 09:35:18	ga_ls5t_ard_3-0-0_095067_2010-02-09_final
2010-10-07 11:15:43	ga_ls5t_ard_3-0-0_111073_2010-10-07_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