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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

64 results

Time (local)	Label
1987-09-12 08:42:53	ga_ls5t_ard_3-1-0_089089_1987-09-11_final
1987-11-03 09:53:17	ga_ls5t_ard_3-0-0_101077_1987-11-03_final
1987-12-14 09:50:13	ga_ls5t_ard_3-0-0_100083_1987-12-14_final
1988-01-24 11:20:26	ga_ls5t_ard_3-0-0_115075_1988-01-24_final
1988-02-19 08:41:23	ga_ls5t_ard_3-0-0_089078_1988-02-18_final
1988-03-12 11:21:06	ga_ls5t_ard_3-0-0_115075_1988-03-12_final
1988-04-17 09:22:06	ga_ls5t_ard_3-0-0_095086_1988-04-16_final
1988-06-08 08:59:00	ga_ls5t_ard_3-0-0_091089_1988-06-07_final
1988-07-07 09:58:44	ga_ls5t_ard_3-0-0_102068_1988-07-07_final
1989-04-01 10:27:23	ga_ls5t_ard_3-0-0_106082_1989-04-01_final
1989-12-11 08:57:50	ga_ls5t_ard_3-0-0_092088_1989-12-10_final
1989-12-12 09:36:41	ga_ls5t_ard_3-0-0_099077_1989-12-12_final
1990-03-16 09:43:37	ga_ls5t_ard_3-0-0_101071_1990-03-16_final
1991-01-21 09:50:28	ga_ls5t_ard_3-0-0_102073_1991-01-21_final
1991-02-26 09:25:59	ga_ls5t_ard_3-0-0_098072_1991-02-25_final
1991-04-24 09:23:59	ga_ls5t_ard_3-0-0_097080_1991-04-23_final
1991-06-03 10:15:20	ga_ls5t_ard_3-1-0_105083_1991-06-03_final
1991-07-03 08:51:39	ga_ls5t_ard_3-0-0_091089_1991-07-02_final
1991-09-29 09:38:16	ga_ls5t_ard_3-0-0_099080_1991-09-29_final
1991-10-14 08:58:22	ga_ls5t_ard_3-0-0_092088_1991-10-13_final
1991-11-26 10:16:54	ga_ls5t_ard_3-1-0_105083_1991-11-26_final
1992-07-12 08:56:30	ga_ls5t_ard_3-0-0_092086_1992-07-11_final
1992-08-11 10:46:08	ga_ls5t_ard_3-0-0_110083_1992-08-11_final
1992-08-19 09:55:44	ga_ls5t_ard_3-0-0_102081_1992-08-19_final
1992-09-15 09:35:13	ga_ls5t_ard_3-0-0_099077_1992-09-15_final
1993-03-27 08:44:27	ga_ls5t_ard_3-0-0_090089_1993-03-26_final
1993-08-19 11:04:25	ga_ls5t_ard_3-0-0_113083_1993-08-19_final
1993-08-24 09:41:17	ga_ls5t_ard_3-0-0_100076_1993-08-24_final
1994-06-01 09:32:21	ga_ls5t_ard_3-0-0_099077_1994-06-01_final
1995-07-19 08:50:28	ga_ls5t_ard_3-0-0_094086_1995-07-18_final
1995-08-07 09:17:44	ga_ls5t_ard_3-0-0_099079_1995-08-06_final
1997-01-20 09:10:42	ga_ls5t_ard_3-0-0_095073_1997-01-19_final
1997-07-28 08:48:23	ga_ls5t_ard_3-0-0_090077_1997-07-27_final
1998-01-23 11:01:19	ga_ls5t_ard_3-1-0_111073_1998-01-23_final
1998-02-24 10:59:35	ga_ls5t_ard_3-0-0_111067_1998-02-24_final
1998-07-16 09:41:48	ga_ls5t_ard_3-0-0_097084_1998-07-16_final
1998-08-01 11:20:23	ga_ls5t_ard_3-0-0_113083_1998-08-01_final
1998-08-30 09:12:30	ga_ls5t_ard_3-0-0_092087_1998-08-29_final
1998-10-01 09:08:17	ga_ls5t_ard_3-0-0_092076_1998-09-30_final
1999-04-11 09:07:46	ga_ls5t_ard_3-0-0_092075_1999-04-10_final
1999-04-12 09:48:38	ga_ls5t_ard_3-0-0_099069_1999-04-12_final
1999-10-29 09:00:00	ga_ls5t_ard_3-0-0_091077_1999-10-28_final
2003-11-09 10:37:53	ga_ls5t_ard_3-0-0_107070_2003-11-09_final
2003-11-18 10:31:08	ga_ls5t_ard_3-0-0_106068_2003-11-18_final
2004-05-01 10:56:38	ga_ls5t_ard_3-0-0_109081_2004-05-01_final
2004-08-16 10:38:36	ga_ls5t_ard_3-0-0_106075_2004-08-16_final
2004-12-13 09:08:31	ga_ls5t_ard_3-1-0_091075_2004-12-12_final
2004-12-21 09:59:18	ga_ls5t_ard_3-0-0_099078_2004-12-21_final
2005-09-21 09:47:41	ga_ls5t_ard_3-0-0_097074_2005-09-21_final
2006-11-08 09:28:36	ga_ls5t_ard_3-0-0_092088_2006-11-07_final
2006-12-10 09:24:06	ga_ls5t_ard_3-0-0_092076_2006-12-09_final
2007-01-07 09:52:13	ga_ls5t_ard_3-0-0_096084_2007-01-07_final
2007-06-16 09:51:24	ga_ls5t_ard_3-0-0_096084_2007-06-16_final
2008-01-19 11:14:21	ga_ls5t_ard_3-0-0_111067_2008-01-19_final
2008-05-06 09:59:54	ga_ls5t_ard_3-0-0_099072_2008-05-06_final
2009-01-10 09:52:16	ga_ls5t_ard_3-0-0_098078_2009-01-10_final
2009-03-24 11:22:23	ga_ls5t_ard_3-0-0_113067_2009-03-24_final
2009-04-25 09:44:57	ga_ls5t_ard_3-1-0_097069_2009-04-25_final
2009-05-09 10:01:33	ga_ls5t_ard_3-0-0_099079_2009-05-09_final
2009-11-29 10:26:19	ga_ls5t_ard_3-0-0_103072_2009-11-29_final
2010-07-15 10:00:50	ga_ls5t_ard_3-0-0_099070_2010-07-15_final
2011-01-29 11:06:52	ga_ls5t_ard_3-0-0_109082_2011-01-29_final
2011-03-30 11:31:03	ga_ls5t_ard_3-1-0_113081_2011-03-30_final
2011-09-09 10:21:51	ga_ls5t_ard_3-0-0_102081_2011-09-09_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