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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

67 results

Time (local)	Label
1986-08-24 10:08:20	ga_ls5t_ard_3-0-0_105069_1986-08-24_final
1988-02-25 09:43:39	ga_ls5t_ard_3-0-0_099079_1988-02-25_final
1988-02-27 09:27:20	ga_ls5t_ard_3-1-0_097069_1988-02-26_final
1988-05-16 08:48:17	ga_ls5t_ard_3-0-0_090078_1988-05-15_final
1988-08-27 08:55:40	ga_ls5t_ard_3-0-0_091080_1988-08-26_final
1988-12-24 08:59:46	ga_ls5t_ard_3-0-0_092076_1988-12-23_final
1989-01-11 10:24:12	ga_ls5t_ard_3-0-0_106071_1989-01-11_final
1989-05-09 09:46:00	ga_ls5t_ard_3-0-0_100072_1989-05-09_final
1989-06-23 10:57:26	ga_ls5t_ard_3-0-0_111083_1989-06-23_final
1989-06-27 08:55:48	ga_ls5t_ard_3-0-0_091088_1989-06-26_final
1989-07-20 09:00:43	ga_ls5t_ard_3-0-0_092086_1989-07-19_final
1989-07-29 10:26:52	ga_ls5t_ard_3-0-0_107070_1989-07-29_final
1990-05-12 09:39:33	ga_ls5t_ard_3-1-0_100077_1990-05-12_final
1990-05-13 08:47:32	ga_ls5t_ard_3-0-0_091086_1990-05-12_final
1991-01-04 10:45:36	ga_ls5t_ard_3-0-0_111073_1991-01-04_final
1991-09-21 08:52:49	ga_ls5t_ard_3-0-0_091090_1991-09-20_final
1991-11-04 09:11:21	ga_ls5t_ard_3-0-0_095074_1991-11-03_final
1992-05-21 10:55:53	ga_ls5t_ard_3-0-0_112074_1992-05-21_final
1992-06-07 10:03:19	ga_ls5t_ard_3-0-0_103082_1992-06-07_final
1992-08-07 11:09:44	ga_ls5t_ard_3-0-0_114080_1992-08-07_final
1992-12-27 09:40:42	ga_ls5t_ard_3-0-0_100077_1992-12-27_final
1993-03-02 10:23:25	ga_ls5t_ard_3-0-0_107074_1993-03-02_final
1994-01-11 08:28:36	ga_ls5t_ard_3-1-0_088082_1994-01-10_final
1994-03-01 09:07:37	ga_ls5t_ard_3-0-0_095073_1994-02-28_final
1994-04-18 09:06:25	ga_ls5t_ard_3-0-0_095072_1994-04-17_final
1994-11-14 08:51:52	ga_ls5t_ard_3-0-0_093080_1994-11-13_final
1995-08-04 08:50:10	ga_ls5t_ard_3-0-0_094087_1995-08-03_final
1996-02-08 09:12:41	ga_ls5t_ard_3-0-0_098079_1996-02-07_final
1996-02-22 09:25:35	ga_ls5t_ard_3-0-0_100078_1996-02-21_final
1996-03-25 09:27:17	ga_ls5t_ard_3-0-0_100077_1996-03-24_final
1996-06-03 10:32:03	ga_ls5t_ard_3-0-0_110074_1996-06-03_final
1996-06-07 08:31:27	ga_ls5t_ard_3-0-0_090081_1996-06-06_final
1996-09-14 10:47:44	ga_ls5t_ard_3-0-0_111084_1996-09-14_final
1996-12-27 09:57:02	ga_ls5t_ard_3-0-0_103068_1996-12-27_final
1998-08-28 09:16:51	ga_ls5t_ard_3-0-0_094067_1998-08-27_final
1998-09-29 09:17:03	ga_ls5t_ard_3-0-0_094067_1998-09-28_final
1998-10-02 09:52:20	ga_ls5t_ard_3-0-0_099078_1998-10-02_final
1999-06-12 09:22:11	ga_ls5t_ard_3-0-0_094082_1999-06-11_final
1999-12-21 10:54:12	ga_ls5t_ard_3-0-0_110072_1999-12-21_final
2003-08-10 09:15:06	ga_ls5t_ard_3-0-0_094067_2003-08-09_final
2003-12-03 09:48:26	ga_ls5t_ard_3-0-0_099069_2003-12-03_final
2004-01-12 09:01:39	ga_ls5t_ard_3-1-0_091075_2004-01-11_final
2004-06-27 09:15:15	ga_ls5t_ard_3-0-0_092086_2004-06-26_final
2004-08-27 10:22:45	ga_ls5t_ard_3-0-0_103081_2004-08-27_final
2004-10-19 10:38:34	ga_ls5t_ard_3-0-0_106071_2004-10-19_final
2004-12-30 09:54:03	ga_ls5t_ard_3-0-0_098080_2004-12-30_final
2005-08-10 10:50:09	ga_ls5t_ard_3-0-0_107076_2005-08-10_final
2005-08-20 09:46:01	ga_ls5t_ard_3-0-0_097070_2005-08-20_final
2005-08-28 10:40:18	ga_ls5t_ard_3-0-0_105082_2005-08-28_final
2005-09-04 10:45:18	ga_ls5t_ard_3-0-0_106079_2005-09-04_final
2005-10-06 10:42:03	ga_ls5t_ard_3-0-0_106071_2005-10-06_final
2005-10-25 11:14:08	ga_ls5t_ard_3-0-0_111074_2005-10-25_final
2005-11-19 11:05:36	ga_ls5t_ard_3-0-0_110067_2005-11-19_final
2006-06-18 10:02:09	ga_ls5t_ard_3-0-0_099068_2006-06-18_final
2006-08-02 09:31:29	ga_ls5t_ard_3-0-0_094067_2006-08-02_final
2006-08-21 10:07:01	ga_ls5t_ard_3-0-0_099078_2006-08-21_final
2006-09-30 10:55:44	ga_ls5t_ard_3-0-0_107075_2006-09-30_final
2007-02-14 10:53:45	ga_ls5t_ard_3-0-0_106083_2007-02-14_final
2007-04-26 10:57:17	ga_ls5t_ard_3-0-0_107077_2007-04-26_final
2007-07-07 10:07:15	ga_ls5t_ard_3-0-0_099078_2007-07-07_final
2007-08-09 09:15:44	ga_ls5t_ard_3-0-0_090089_2007-08-08_final
2007-08-23 09:26:45	ga_ls5t_ard_3-0-0_092086_2007-08-22_final
2007-09-10 10:47:07	ga_ls5t_ard_3-0-0_106071_2007-09-10_final
2009-04-06 10:54:33	ga_ls5t_ard_3-0-0_108074_2009-04-06_final
2009-06-10 10:01:44	ga_ls5t_ard_3-0-0_099078_2009-06-10_final
2010-11-02 10:15:19	ga_ls5t_ard_3-0-0_101077_2010-11-02_final
2010-12-16 10:42:02	ga_ls5t_ard_3-0-0_105082_2010-12-16_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years