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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

62 results

Time (local)	Label
1987-07-20 10:53:43	ga_ls5t_ard_3-0-0_111080_1987-07-20_final
1987-11-20 09:00:01	ga_ls5t_ard_3-0-0_092082_1987-11-19_final
1987-11-24 10:14:15	ga_ls5t_ard_3-1-0_104082_1987-11-24_final
1988-04-20 09:49:50	ga_ls5t_ard_3-0-0_100078_1988-04-20_final
1988-08-16 09:16:32	ga_ls5t_ard_3-0-0_094086_1988-08-15_final
1988-10-01 09:28:25	ga_ls5t_ard_3-0-0_096085_1988-09-30_final
1988-12-05 10:08:45	ga_ls5t_ard_3-0-0_103078_1988-12-05_final
1988-12-25 09:40:14	ga_ls5t_ard_3-0-0_099069_1988-12-25_final
1989-04-26 08:40:33	ga_ls5t_ard_3-0-0_089078_1989-04-25_final
1989-11-26 09:33:53	ga_ls5t_ard_3-0-0_099069_1989-11-26_final
1989-11-30 09:08:18	ga_ls5t_ard_3-0-0_095067_1989-11-29_final
1990-09-26 09:35:39	ga_ls5t_ard_3-0-0_099084_1990-09-26_final
1991-03-05 09:30:40	ga_ls5t_ard_3-1-0_099068_1991-03-05_final
1991-03-09 10:47:20	ga_ls5t_ard_3-0-0_111074_1991-03-09_final
1991-03-21 09:35:26	ga_ls5t_ard_3-0-0_099079_1991-03-21_final
1992-08-24 08:35:44	ga_ls5t_ard_3-0-0_089082_1992-08-23_final
1992-08-31 08:42:13	ga_ls5t_ard_3-0-0_090083_1992-08-30_final
1992-12-06 09:18:47	ga_ls5t_ard_3-1-0_097069_1992-12-05_final
1993-04-30 10:08:27	ga_ls5t_ard_3-0-0_104082_1993-04-30_final
1993-10-23 10:02:34	ga_ls5t_ard_3-0-0_104068_1993-10-23_final
1994-02-12 10:07:06	ga_ls5t_ard_3-0-0_104082_1994-02-12_final
1994-07-18 10:24:01	ga_ls5t_ard_3-0-0_108070_1994-07-18_final
1995-03-10 09:59:27	ga_ls5t_ard_3-0-0_105074_1995-03-10_final
1995-03-15 10:20:10	ga_ls5t_ard_3-0-0_108080_1995-03-15_final
1995-10-16 10:14:03	ga_ls5t_ard_3-0-0_109074_1995-10-16_final
1995-11-08 08:40:06	ga_ls5t_ard_3-0-0_094073_1995-11-07_final
1995-12-06 09:04:30	ga_ls5t_ard_3-0-0_098070_1995-12-05_final
1996-02-09 08:17:31	ga_ls5t_ard_3-0-0_089080_1996-02-08_final
1996-04-07 09:00:23	ga_ls5t_ard_3-0-0_095085_1996-04-06_final
1996-10-22 08:31:45	ga_ls5t_ard_3-0-0_089079_1996-10-21_final
1996-12-31 09:36:53	ga_ls5t_ard_3-0-0_099079_1996-12-31_final
1997-01-03 08:29:26	ga_ls5t_ard_3-1-0_088080_1997-01-02_final
1997-04-04 09:52:48	ga_ls5t_ard_3-0-0_101078_1997-04-04_final
1997-10-17 09:34:03	ga_ls5t_ard_3-0-0_097077_1997-10-17_final
1998-06-01 10:10:34	ga_ls5t_ard_3-0-0_102080_1998-06-01_final
1998-08-27 10:13:16	ga_ls5t_ard_3-0-0_103069_1998-08-27_final
1999-04-20 09:02:25	ga_ls5t_ard_3-0-0_091077_1999-04-19_final
1999-06-23 09:01:34	ga_ls5t_ard_3-0-0_091077_1999-06-22_final
1999-08-03 10:35:41	ga_ls5t_ard_3-0-0_106081_1999-08-03_final
1999-08-22 11:03:34	ga_ls5t_ard_3-0-0_111074_1999-08-22_final
1999-09-07 11:05:50	ga_ls5t_ard_3-0-0_111081_1999-09-07_final
2003-09-13 09:06:56	ga_ls5t_ard_3-0-0_092076_2003-09-12_final
2003-10-08 09:04:16	ga_ls5t_ard_3-0-0_091084_2003-10-07_final
2004-01-04 09:48:41	ga_ls5t_ard_3-0-0_099069_2004-01-04_final
2004-03-04 10:15:39	ga_ls5t_ard_3-0-0_103074_2004-03-04_final
2004-11-06 10:27:46	ga_ls5t_ard_3-0-0_104074_2004-11-06_final
2004-12-14 09:50:13	ga_ls5t_ard_3-0-0_098071_2004-12-14_final
2005-04-12 10:01:01	ga_ls5t_ard_3-0-0_099079_2005-04-12_final
2005-05-12 10:12:45	ga_ls5t_ard_3-0-0_101077_2005-05-12_final
2006-01-20 11:22:11	ga_ls5t_ard_3-0-0_112074_2006-01-20_final
2006-01-28 10:36:08	ga_ls5t_ard_3-0-0_104082_2006-01-28_final
2006-04-16 10:49:16	ga_ls5t_ard_3-0-0_106080_2006-04-16_final
2006-08-01 10:31:05	ga_ls5t_ard_3-0-0_103077_2006-08-01_final
2007-01-04 09:18:06	ga_ls5t_ard_3-0-0_091076_2007-01-03_final
2007-04-02 10:08:23	ga_ls5t_ard_3-0-0_099078_2007-04-02_final
2007-08-03 09:51:40	ga_ls5t_ard_3-0-0_096086_2007-08-03_final
2007-09-18 10:00:25	ga_ls5t_ard_3-0-0_098078_2007-09-18_final
2007-09-25 11:44:37	ga_ls5t_ard_3-0-0_115076_2007-09-25_final
2008-03-12 09:54:38	ga_ls5t_ard_3-0-0_098071_2008-03-12_final
2009-09-13 10:57:16	ga_ls5t_ard_3-0-0_108074_2009-09-13_final
2010-02-16 09:43:06	ga_ls5t_ard_3-0-0_096071_2010-02-16_final
2010-02-23 11:32:34	ga_ls5t_ard_3-0-0_113082_2010-02-23_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

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