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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

63 results

Time (local)	Label
1987-11-21 09:38:31	ga_ls5t_ard_3-0-0_099070_1987-11-21_final
1987-11-28 09:47:12	ga_ls5t_ard_3-0-0_100076_1987-11-28_final
1987-12-16 09:32:18	ga_ls5t_ard_3-0-0_098069_1987-12-16_final
1987-12-17 08:42:41	ga_ls5t_ard_3-0-0_089084_1987-12-16_final
1987-12-20 09:06:50	ga_ls5t_ard_3-0-0_094067_1987-12-19_final
1988-06-14 09:56:03	ga_ls5t_ard_3-0-0_101077_1988-06-14_final
1988-06-16 09:43:42	ga_ls5t_ard_3-0-0_099077_1988-06-16_final
1988-06-16 09:44:30	ga_ls5t_ard_3-0-0_099079_1988-06-16_final
1988-07-09 09:50:22	ga_ls5t_ard_3-0-0_100078_1988-07-09_final
1988-08-13 08:44:25	ga_ls5t_ard_3-0-0_089083_1988-08-12_final
1988-11-24 08:52:53	ga_ls5t_ard_3-0-0_090089_1988-11-23_final
1988-12-22 10:47:25	ga_ls5t_ard_3-0-0_110067_1988-12-22_final
1988-12-25 09:40:38	ga_ls5t_ard_3-0-0_099070_1988-12-25_final
1989-01-27 08:51:03	ga_ls5t_ard_3-0-0_090086_1989-01-26_final
1989-04-27 09:26:35	ga_ls5t_ard_3-0-0_096085_1989-04-26_final
1989-08-10 10:52:55	ga_ls5t_ard_3-0-0_111074_1989-08-10_final
1989-11-20 10:16:35	ga_ls5t_ard_3-1-0_105083_1989-11-20_final
1990-04-12 09:27:31	ga_ls5t_ard_3-0-0_098078_1990-04-11_final
1990-06-16 08:34:40	ga_ls5t_ard_3-0-0_089085_1990-06-15_final
1991-02-25 10:20:47	ga_ls5t_ard_3-0-0_107070_1991-02-25_final
1991-04-30 10:27:08	ga_ls5t_ard_3-0-0_107083_1991-04-30_final
1992-06-10 08:57:18	ga_ls5t_ard_3-0-0_092087_1992-06-09_final
1992-11-04 11:03:17	ga_ls5t_ard_3-0-0_113083_1992-11-04_final
1994-04-16 09:24:00	ga_ls5t_ard_3-0-0_097085_1994-04-15_final
1994-06-12 10:51:16	ga_ls5t_ard_3-0-0_112074_1994-06-12_final
1994-07-27 08:46:41	ga_ls5t_ard_3-0-0_091090_1994-07-26_final
1994-09-30 09:23:53	ga_ls5t_ard_3-0-0_098079_1994-09-29_final
1994-10-27 10:40:57	ga_ls5t_ard_3-0-0_111073_1994-10-27_final
1995-03-29 08:55:29	ga_ls5t_ard_3-0-0_094086_1995-03-28_final
1995-05-19 10:59:27	ga_ls5t_ard_3-0-0_115077_1995-05-19_final
1996-12-08 09:29:13	ga_ls5t_ard_3-0-0_098078_1996-12-07_final
1997-01-13 10:41:54	ga_ls5t_ard_3-0-0_110070_1997-01-13_final
1997-01-25 11:09:10	ga_ls5t_ard_3-0-0_114075_1997-01-25_final
1998-02-05 10:28:43	ga_ls5t_ard_3-0-0_106068_1998-02-05_final
1998-05-28 09:00:19	ga_ls5t_ard_3-1-0_090090_1998-05-27_final
1999-03-12 10:32:38	ga_ls5t_ard_3-0-0_106070_1999-03-12_final
1999-04-13 08:56:13	ga_ls5t_ard_3-0-0_090077_1999-04-12_final
2003-09-03 10:10:32	ga_ls5t_ard_3-0-0_102081_2003-09-03_final
2003-11-04 10:18:26	ga_ls5t_ard_3-0-0_104068_2003-11-04_final
2003-12-29 08:50:50	ga_ls5t_ard_3-0-0_089079_2003-12-28_final
2004-01-21 10:34:47	ga_ls5t_ard_3-0-0_106076_2004-01-21_final
2004-12-22 10:39:47	ga_ls5t_ard_3-0-0_106071_2004-12-22_final
2005-07-29 10:23:44	ga_ls5t_ard_3-0-0_103072_2005-07-29_final
2005-08-13 11:22:40	ga_ls5t_ard_3-0-0_112080_2005-08-13_final
2005-11-24 09:46:10	ga_ls5t_ard_3-1-0_097069_2005-11-24_final
2006-02-27 10:43:34	ga_ls5t_ard_3-0-0_106068_2006-02-27_final
2006-04-15 10:02:00	ga_ls5t_ard_3-0-0_099070_2006-04-15_final
2006-06-18 10:06:32	ga_ls5t_ard_3-0-0_099079_2006-06-18_final
2006-06-24 09:32:21	ga_ls5t_ard_3-0-0_093086_2006-06-24_final
2006-11-09 10:05:06	ga_ls5t_ard_3-0-0_099071_2006-11-09_final
2007-05-30 09:10:26	ga_ls5t_ard_3-0-0_089089_2007-05-29_final
2007-06-10 10:22:13	ga_ls5t_ard_3-0-0_102068_2007-06-10_final
2008-03-07 09:34:36	ga_ls5t_ard_3-0-0_095067_2008-03-07_final
2008-03-13 10:37:05	ga_ls5t_ard_3-0-0_105069_2008-03-13_final
2008-12-06 10:59:40	ga_ls5t_ard_3-0-0_109079_2008-12-06_final
2009-01-05 09:31:36	ga_ls5t_ard_3-0-0_095073_2009-01-05_final
2009-02-18 09:56:16	ga_ls5t_ard_3-0-0_099070_2009-02-18_final
2009-04-23 09:58:28	ga_ls5t_ard_3-0-0_099072_2009-04-23_final
2009-05-25 09:58:39	ga_ls5t_ard_3-0-0_099071_2009-05-25_final
2010-10-13 09:01:42	ga_ls5t_ard_3-0-0_089078_2010-10-12_final
2010-12-17 09:47:13	ga_ls5t_ard_3-0-0_096084_2010-12-17_final
2011-01-13 11:02:27	ga_ls5t_ard_3-0-0_109071_2011-01-13_final
2011-02-01 09:58:05	ga_ls5t_ard_3-0-0_098080_2011-02-01_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