Search ga_ls5t_ard_3 whole collection

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

56 results

Time (local)	Label
1987-10-06 11:02:57	ga_ls5t_ard_3-0-0_113067_1987-10-06_final
1987-12-08 08:49:31	ga_ls5t_ard_3-0-0_090086_1987-12-07_final
1988-03-25 10:50:18	ga_ls5t_ard_3-0-0_110075_1988-03-25_final
1988-07-06 10:54:21	ga_ls5t_ard_3-0-0_111068_1988-07-06_final
1988-08-26 09:52:05	ga_ls5t_ard_3-0-0_100082_1988-08-26_final
1989-01-09 09:00:32	ga_ls5t_ard_3-0-0_092078_1989-01-08_final
1989-03-03 10:53:01	ga_ls5t_ard_3-0-0_111067_1989-03-03_final
1989-04-18 09:31:21	ga_ls5t_ard_3-0-0_097081_1989-04-18_final
1989-08-03 10:45:42	ga_ls5t_ard_3-0-0_110071_1989-08-03_final
1989-09-25 11:01:23	ga_ls5t_ard_3-0-0_113067_1989-09-25_final
1990-04-25 10:34:45	ga_ls5t_ard_3-0-0_109076_1990-04-25_final
1990-05-30 09:23:07	ga_ls5t_ard_3-1-0_098067_1990-05-29_final
1990-09-12 10:55:30	ga_ls5t_ard_3-0-0_113067_1990-09-12_final
1990-10-25 10:38:14	ga_ls5t_ard_3-0-0_110071_1990-10-25_final
1990-11-19 08:55:53	ga_ls5t_ard_3-0-0_093078_1990-11-18_final
1991-02-16 08:47:07	ga_ls5t_ard_3-0-0_092068_1991-02-15_final
1991-09-25 10:00:59	ga_ls5t_ard_3-0-0_103075_1991-09-25_final
1991-09-26 10:42:38	ga_ls5t_ard_3-0-0_110071_1991-09-26_final
1991-10-01 10:59:37	ga_ls5t_ard_3-0-0_113067_1991-10-01_final
1992-07-17 10:51:28	ga_ls5t_ard_3-0-0_111080_1992-07-17_final
1992-09-17 10:57:43	ga_ls5t_ard_3-0-0_113067_1992-09-17_final
1993-03-23 10:39:16	ga_ls5t_ard_3-0-0_110067_1993-03-23_final
1993-09-28 10:09:42	ga_ls5t_ard_3-0-0_105070_1993-09-28_final
1993-11-01 09:59:08	ga_ls5t_ard_3-0-0_103075_1993-11-01_final
1994-07-21 11:00:01	ga_ls5t_ard_3-0-0_113083_1994-07-21_final
1994-09-11 08:48:43	ga_ls5t_ard_3-0-0_093067_1994-09-10_final
1994-12-25 08:39:36	ga_ls5t_ard_3-1-0_092068_1994-12-24_final
1995-02-08 09:51:29	ga_ls5t_ard_3-0-0_103082_1995-02-08_final
1995-03-18 10:45:46	ga_ls5t_ard_3-0-0_113067_1995-03-18_final
1996-03-08 08:42:55	ga_ls5t_ard_3-0-0_093077_1996-03-07_final
1996-12-15 09:31:20	ga_ls5t_ard_3-0-0_099067_1996-12-15_final
1997-03-27 08:58:40	ga_ls5t_ard_3-0-0_093067_1997-03-26_final
1997-07-24 10:49:28	ga_ls5t_ard_3-0-0_110071_1997-07-24_final
1997-10-19 10:56:38	ga_ls5t_ard_3-0-0_111067_1997-10-19_final
1997-12-31 10:53:51	ga_ls5t_ard_3-0-0_110071_1997-12-31_final
1998-03-03 11:11:27	ga_ls5t_ard_3-0-0_112081_1998-03-03_final
1998-12-23 11:14:42	ga_ls5t_ard_3-0-0_113067_1998-12-23_final
1999-11-29 09:52:33	ga_ls5t_ard_3-0-0_100072_1999-11-29_final
2003-10-18 11:19:35	ga_ls5t_ard_3-0-0_113082_2003-10-18_final
2003-11-30 10:57:13	ga_ls5t_ard_3-0-0_110071_2003-11-30_final
2004-08-19 11:06:24	ga_ls5t_ard_3-0-0_111067_2004-08-19_final
2004-09-04 11:07:14	ga_ls5t_ard_3-0-0_111068_2004-09-04_final
2004-09-13 11:00:53	ga_ls5t_ard_3-0-0_110067_2004-09-13_final
2004-11-23 09:35:59	ga_ls5t_ard_3-0-0_095083_2004-11-23_final
2005-03-01 09:18:50	ga_ls5t_ard_3-0-0_093067_2005-02-28_final
2005-08-31 11:05:13	ga_ls5t_ard_3-0-0_110067_2005-08-31_final
2006-02-03 11:36:05	ga_ls5t_ard_3-0-0_114077_2006-02-03_final
2006-08-14 09:57:09	ga_ls5t_ard_3-0-0_098069_2006-08-14_final
2006-08-25 09:45:56	ga_ls5t_ard_3-1-0_095087_2006-08-25_final
2007-08-30 11:06:56	ga_ls5t_ard_3-0-0_109074_2007-08-30_final
2007-09-06 11:10:16	ga_ls5t_ard_3-0-0_110067_2007-09-06_final
2008-02-17 10:48:56	ga_ls5t_ard_3-0-0_106082_2008-02-17_final
2008-06-04 11:05:06	ga_ls5t_ard_3-0-0_110067_2008-06-04_final
2008-08-07 11:03:17	ga_ls5t_ard_3-0-0_110067_2008-08-07_final
2008-10-23 10:33:14	ga_ls5t_ard_3-0-0_105075_2008-10-23_final
2011-11-06 09:13:59	ga_ls5t_ard_3-0-0_092068_2011-11-05_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