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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
1987-05-28 10:31:17	ga_ls5t_ard_3-0-0_108073_1987-05-28_final
1987-10-13 09:35:34	ga_ls5t_ard_3-1-0_098080_1987-10-13_final
1987-10-20 09:43:27	ga_ls5t_ard_3-0-0_099084_1987-10-20_final
1987-10-25 10:00:52	ga_ls5t_ard_3-0-0_102081_1987-10-25_final
1987-11-16 11:00:21	ga_ls5t_ard_3-0-0_112074_1987-11-16_final
1987-12-17 10:17:58	ga_ls5t_ard_3-0-0_105075_1987-12-17_final
1988-01-26 09:27:14	ga_ls5t_ard_3-0-0_097070_1988-01-25_final
1988-07-09 09:49:58	ga_ls5t_ard_3-0-0_100077_1988-07-09_final
1988-10-14 10:31:55	ga_ls5t_ard_3-0-0_107074_1988-10-14_final
1989-07-27 09:07:11	ga_ls5t_ard_3-1-0_093087_1989-07-26_final
1989-09-15 08:53:29	ga_ls5t_ard_3-0-0_091087_1989-09-14_final
1990-05-25 09:04:34	ga_ls5t_ard_3-0-0_095067_1990-05-24_final
1990-07-01 09:29:29	ga_ls5t_ard_3-0-0_098083_1990-06-30_final
1990-09-17 09:39:08	ga_ls5t_ard_3-0-0_100077_1990-09-17_final
1991-01-04 09:04:20	ga_ls5t_ard_3-0-0_095067_1991-01-03_final
1991-07-03 08:52:03	ga_ls5t_ard_3-0-0_091090_1991-07-02_final
1991-09-19 09:03:35	ga_ls5t_ard_3-0-0_093086_1991-09-18_final
1991-11-10 10:13:36	ga_ls5t_ard_3-0-0_105075_1991-11-10_final
1992-01-08 09:53:31	ga_ls5t_ard_3-0-0_102071_1992-01-08_final
1992-04-15 09:40:53	ga_ls5t_ard_3-0-0_100071_1992-04-15_final
1992-05-23 10:44:18	ga_ls5t_ard_3-0-0_110076_1992-05-23_final
1992-06-26 08:51:54	ga_ls5t_ard_3-1-0_092074_1992-06-25_final
1993-03-19 11:07:35	ga_ls5t_ard_3-0-0_114076_1993-03-19_final
1993-05-31 09:20:07	ga_ls5t_ard_3-1-0_097069_1993-05-30_final
1993-07-08 08:45:40	ga_ls5t_ard_3-0-0_091076_1993-07-07_final
1993-07-17 08:42:17	ga_ls5t_ard_3-0-0_090083_1993-07-16_final
1994-09-26 09:49:31	ga_ls5t_ard_3-0-0_102081_1994-09-26_final
1995-01-02 09:32:22	ga_ls5t_ard_3-0-0_100077_1995-01-02_final
1995-11-20 09:05:21	ga_ls5t_ard_3-0-0_098074_1995-11-19_final
1996-03-01 08:39:52	ga_ls5t_ard_3-0-0_092086_1996-02-29_final
1996-05-13 08:38:14	ga_ls5t_ard_3-0-0_091086_1996-05-12_final
1996-11-24 09:14:10	ga_ls5t_ard_3-0-0_096073_1996-11-23_final
1996-11-28 10:27:21	ga_ls5t_ard_3-0-0_108070_1996-11-28_final
1997-03-31 10:18:58	ga_ls5t_ard_3-0-0_105082_1997-03-31_final
1997-12-09 09:53:55	ga_ls5t_ard_3-0-0_100077_1997-12-09_final
1998-03-07 10:44:00	ga_ls5t_ard_3-0-0_108074_1998-03-07_final
1998-06-28 09:51:33	ga_ls5t_ard_3-0-0_099078_1998-06-28_final
1999-08-08 10:51:24	ga_ls5t_ard_3-0-0_109074_1999-08-08_final
2003-06-30 09:20:33	ga_ls5t_ard_3-0-0_095067_2003-06-29_final
2003-08-17 09:21:24	ga_ls5t_ard_3-0-0_095067_2003-08-16_final
2003-10-17 10:33:54	ga_ls5t_ard_3-0-0_106076_2003-10-17_final
2003-11-02 10:34:00	ga_ls5t_ard_3-0-0_106076_2003-11-02_final
2003-12-15 10:14:25	ga_ls5t_ard_3-0-0_103072_2003-12-15_final
2004-01-27 09:58:08	ga_ls5t_ard_3-0-0_100077_2004-01-27_final
2004-04-29 09:24:28	ga_ls5t_ard_3-0-0_095067_2004-04-28_final
2004-09-08 09:11:19	ga_ls5t_ard_3-0-0_091087_2004-09-07_final
2004-11-07 09:29:22	ga_ls5t_ard_3-0-0_095067_2004-11-06_final
2005-01-22 11:37:49	ga_ls5t_ard_3-0-0_115076_2005-01-22_final
2005-03-05 10:36:38	ga_ls5t_ard_3-0-0_105076_2005-03-05_final
2005-04-22 10:36:57	ga_ls5t_ard_3-0-0_105076_2005-04-22_final
2005-09-29 10:37:30	ga_ls5t_ard_3-0-0_105075_2005-09-29_final
2005-10-06 10:44:03	ga_ls5t_ard_3-0-0_106076_2005-10-06_final
2006-04-25 09:05:57	ga_ls5t_ard_3-0-0_089084_2006-04-24_final
2006-07-03 09:21:31	ga_ls5t_ard_3-1-0_092074_2006-07-02_final
2006-11-03 10:41:20	ga_ls5t_ard_3-0-0_105069_2006-11-03_final
2007-07-19 10:33:04	ga_ls5t_ard_3-0-0_103081_2007-07-19_final
2007-07-27 11:18:51	ga_ls5t_ard_3-0-0_111072_2007-07-27_final
2008-02-10 09:02:24	ga_ls5t_ard_3-0-0_089078_2008-02-09_final
2009-07-07 11:20:59	ga_ls5t_ard_3-0-0_112074_2009-07-07_final
2010-02-21 10:01:15	ga_ls5t_ard_3-0-0_099070_2010-02-21_final
2010-04-05 11:23:11	ga_ls5t_ard_3-0-0_112074_2010-04-05_final
2011-03-17 10:19:56	ga_ls5t_ard_3-0-0_102073_2011-03-17_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

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