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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
1987-12-23 09:39:23	ga_ls5t_ard_3-1-0_099071_1987-12-23_final
1988-03-12 09:40:37	ga_ls5t_ard_3-0-0_099071_1988-03-12_final
1989-02-27 09:44:08	ga_ls5t_ard_3-0-0_099080_1989-02-27_final
1990-03-18 09:34:23	ga_ls5t_ard_3-0-0_099079_1990-03-18_final
1990-06-19 08:58:23	ga_ls5t_ard_3-0-0_094067_1990-06-18_final
1990-07-24 11:12:28	ga_ls5t_ard_3-0-0_115078_1990-07-24_final
1991-02-27 10:07:39	ga_ls5t_ard_3-0-0_105068_1991-02-27_final
1991-03-11 09:01:20	ga_ls5t_ard_3-0-0_093087_1991-03-10_final
1991-06-01 08:49:58	ga_ls5t_ard_3-0-0_091086_1991-05-31_final
1991-06-22 09:01:13	ga_ls5t_ard_3-0-0_094067_1991-06-21_final
1991-10-08 09:28:35	ga_ls5t_ard_3-0-0_098071_1991-10-07_final
1991-10-30 10:31:41	ga_ls5t_ard_3-0-0_108074_1991-10-30_final
1992-03-08 10:17:22	ga_ls5t_ard_3-0-0_106069_1992-03-08_final
1993-03-10 11:14:33	ga_ls5t_ard_3-0-0_115078_1993-03-10_final
1993-08-16 08:48:15	ga_ls5t_ard_3-0-0_092067_1993-08-15_final
1993-11-25 10:47:35	ga_ls5t_ard_3-0-0_111073_1993-11-25_final
1994-08-04 09:31:06	ga_ls5t_ard_3-0-0_099078_1994-08-04_final
1994-12-19 09:21:16	ga_ls5t_ard_3-0-0_098079_1994-12-18_final
1995-01-28 10:06:53	ga_ls5t_ard_3-0-0_106073_1995-01-28_final
1995-02-26 09:36:24	ga_ls5t_ard_3-0-0_101077_1995-02-26_final
1995-05-03 09:22:06	ga_ls5t_ard_3-0-0_099079_1995-05-02_final
1995-08-15 10:05:12	ga_ls5t_ard_3-0-0_107075_1995-08-15_final
1995-10-15 09:33:38	ga_ls5t_ard_3-0-0_102081_1995-10-15_final
1995-10-25 10:07:22	ga_ls5t_ard_3-0-0_108074_1995-10-25_final
1996-01-11 08:41:12	ga_ls5t_ard_3-0-0_094067_1996-01-10_final
1996-11-28 10:28:56	ga_ls5t_ard_3-0-0_108074_1996-11-28_final
1997-01-09 09:30:44	ga_ls5t_ard_3-0-0_098078_1997-01-09_final
1997-04-12 10:40:55	ga_ls5t_ard_3-0-0_109074_1997-04-12_final
1997-04-27 10:00:59	ga_ls5t_ard_3-0-0_102081_1997-04-27_final
1997-09-06 09:39:29	ga_ls5t_ard_3-0-0_098078_1997-09-06_final
1998-01-03 11:27:37	ga_ls5t_ard_3-0-0_115078_1998-01-03_final
1998-07-17 08:45:24	ga_ls5t_ard_3-0-0_088082_1998-07-16_final
1998-10-18 09:52:20	ga_ls5t_ard_3-0-0_099078_1998-10-18_final
1998-10-18 11:31:13	ga_ls5t_ard_3-0-0_115078_1998-10-18_final
1999-01-22 09:52:33	ga_ls5t_ard_3-0-0_099078_1999-01-22_final
1999-07-17 09:52:03	ga_ls5t_ard_3-0-0_099080_1999-07-17_final
1999-09-06 08:43:44	ga_ls5t_ard_3-1-0_088081_1999-09-05_final
1999-11-29 09:54:08	ga_ls5t_ard_3-0-0_100076_1999-11-29_final
2003-07-12 09:49:28	ga_ls5t_ard_3-0-0_099077_2003-07-12_final
2003-09-15 10:33:05	ga_ls5t_ard_3-0-0_106075_2003-09-15_final
2003-11-02 10:33:35	ga_ls5t_ard_3-0-0_106075_2003-11-02_final
2004-01-03 10:46:18	ga_ls5t_ard_3-0-0_108074_2004-01-03_final
2004-02-06 10:34:51	ga_ls5t_ard_3-0-0_106076_2004-02-06_final
2004-04-26 10:35:58	ga_ls5t_ard_3-0-0_106076_2004-04-26_final
2004-06-28 09:54:57	ga_ls5t_ard_3-0-0_099077_2004-06-28_final
2004-07-11 09:20:26	ga_ls5t_ard_3-0-0_094067_2004-07-10_final
2004-07-13 10:49:48	ga_ls5t_ard_3-0-0_108074_2004-07-13_final
2004-11-04 10:40:53	ga_ls5t_ard_3-0-0_106076_2004-11-04_final
2005-01-05 10:53:31	ga_ls5t_ard_3-0-0_108074_2005-01-05_final
2005-01-07 10:41:59	ga_ls5t_ard_3-0-0_106076_2005-01-07_final
2005-02-08 10:42:25	ga_ls5t_ard_3-0-0_106076_2005-02-08_final
2005-02-23 11:39:06	ga_ls5t_ard_3-0-0_115078_2005-02-23_final
2005-05-15 10:43:16	ga_ls5t_ard_3-0-0_106076_2005-05-15_final
2005-05-30 10:00:33	ga_ls5t_ard_3-0-0_099077_2005-05-30_final
2006-07-01 09:31:03	ga_ls5t_ard_3-0-0_094067_2006-07-01_final
2006-12-10 09:24:06	ga_ls5t_ard_3-0-0_092076_2006-12-09_final
2007-04-01 09:29:07	ga_ls5t_ard_3-0-0_092088_2007-03-31_final
2007-08-17 10:00:42	ga_ls5t_ard_3-0-0_098078_2007-08-17_final
2008-12-16 09:54:35	ga_ls5t_ard_3-0-0_099070_2008-12-16_final
2010-04-17 10:07:47	ga_ls5t_ard_3-1-0_100071_2010-04-17_final
2010-04-26 11:42:26	ga_ls5t_ard_3-0-0_115076_2010-04-26_final
2010-05-01 10:24:04	ga_ls5t_ard_3-0-0_102081_2010-05-01_final
2011-02-20 10:24:13	ga_ls5t_ard_3-0-0_103068_2011-02-20_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