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

61 results

Time (local)	Label
1987-05-26 09:02:19	ga_ls5t_ard_3-0-0_094067_1987-05-25_final
1987-10-11 09:46:41	ga_ls5t_ard_3-0-0_100077_1987-10-11_final
1987-12-30 09:48:05	ga_ls5t_ard_3-0-0_100077_1987-12-30_final
1989-06-10 09:47:23	ga_ls5t_ard_3-0-0_100077_1989-06-10_final
1989-09-20 10:49:16	ga_ls5t_ard_3-0-0_110083_1989-09-20_final
1990-03-11 09:29:13	ga_ls5t_ard_3-0-0_098081_1990-03-10_final
1991-02-10 09:23:37	ga_ls5t_ard_3-0-0_098067_1991-02-09_final
1992-09-16 08:43:59	ga_ls5t_ard_3-0-0_090088_1992-09-15_final
1993-02-13 09:41:15	ga_ls5t_ard_3-0-0_100077_1993-02-13_final
1993-03-19 09:29:54	ga_ls5t_ard_3-1-0_098079_1993-03-18_final
1993-10-01 09:00:31	ga_ls5t_ard_3-0-0_094067_1993-09-30_final
1993-11-22 10:17:29	ga_ls5t_ard_3-0-0_106075_1993-11-22_final
1994-02-24 10:28:02	ga_ls5t_ard_3-0-0_108073_1994-02-24_final
1994-07-31 09:57:32	ga_ls5t_ard_3-0-0_103082_1994-07-31_final
1995-01-12 10:06:17	ga_ls5t_ard_3-0-0_106070_1995-01-12_final
1995-02-03 09:31:09	ga_ls5t_ard_3-0-0_100077_1995-02-03_final
1995-05-19 09:20:34	ga_ls5t_ard_3-0-0_099077_1995-05-18_final
1995-07-15 09:07:47	ga_ls5t_ard_3-0-0_098067_1995-07-14_final
1995-07-19 08:50:28	ga_ls5t_ard_3-0-0_094086_1995-07-18_final
1995-11-08 08:37:42	ga_ls5t_ard_3-0-0_094067_1995-11-07_final
1996-05-13 08:37:02	ga_ls5t_ard_3-0-0_091083_1996-05-12_final
1996-06-03 08:50:22	ga_ls5t_ard_3-0-0_094067_1996-06-02_final
1996-06-22 11:05:10	ga_ls5t_ard_3-0-0_115077_1996-06-22_final
1996-07-08 09:27:07	ga_ls5t_ard_3-0-0_099077_1996-07-07_final
1996-07-24 11:06:51	ga_ls5t_ard_3-0-0_115077_1996-07-24_final
1996-08-06 08:53:46	ga_ls5t_ard_3-0-0_094067_1996-08-05_final
1996-09-07 10:37:11	ga_ls5t_ard_3-0-0_110074_1996-09-07_final
1997-05-23 10:36:35	ga_ls5t_ard_3-0-0_108075_1997-05-23_final
1997-07-26 10:38:46	ga_ls5t_ard_3-0-0_108075_1997-07-26_final
1997-09-10 10:52:10	ga_ls5t_ard_3-0-0_110074_1997-09-10_final
1997-12-08 10:48:19	ga_ls5t_ard_3-0-0_109074_1997-12-08_final
1998-11-16 09:17:15	ga_ls5t_ard_3-0-0_094067_1998-11-15_final
1998-11-18 10:46:11	ga_ls5t_ard_3-0-0_108073_1998-11-18_final
1999-01-07 10:33:02	ga_ls5t_ard_3-0-0_106071_1999-01-07_final
1999-02-13 09:15:40	ga_ls5t_ard_3-0-0_093078_1999-02-12_final
1999-02-24 10:34:49	ga_ls5t_ard_3-0-0_106075_1999-02-24_final
1999-04-12 09:51:50	ga_ls5t_ard_3-0-0_099077_1999-04-12_final
1999-05-21 09:58:02	ga_ls5t_ard_3-0-0_100078_1999-05-21_final
1999-08-09 09:56:58	ga_ls5t_ard_3-0-0_100077_1999-08-09_final
1999-11-14 08:55:50	ga_ls5t_ard_3-1-0_091068_1999-11-13_final
2003-07-27 10:44:34	ga_ls5t_ard_3-0-0_108075_2003-07-27_final
2003-08-10 09:22:40	ga_ls5t_ard_3-0-0_094086_2003-08-09_final
2003-09-06 10:39:30	ga_ls5t_ard_3-0-0_107076_2003-09-06_final
2003-10-08 09:06:40	ga_ls5t_ard_3-0-0_091090_2003-10-07_final
2003-10-08 10:39:58	ga_ls5t_ard_3-0-0_107076_2003-10-08_final
2003-10-24 10:40:10	ga_ls5t_ard_3-0-0_107076_2003-10-24_final
2004-03-27 10:20:19	ga_ls5t_ard_3-0-0_104070_2004-03-27_final
2004-04-01 10:41:23	ga_ls5t_ard_3-0-0_107076_2004-04-01_final
2004-04-17 10:41:54	ga_ls5t_ard_3-0-0_107076_2004-04-17_final
2004-05-11 09:53:32	ga_ls5t_ard_3-0-0_099077_2004-05-11_final
2004-11-25 10:59:47	ga_ls5t_ard_3-0-0_109076_2004-11-25_final
2005-04-09 11:07:00	ga_ls5t_ard_3-0-0_110074_2005-04-09_final
2005-06-19 11:13:40	ga_ls5t_ard_3-0-0_111074_2005-06-19_final
2005-07-18 10:43:46	ga_ls5t_ard_3-0-0_106076_2005-07-18_final
2005-09-23 11:14:12	ga_ls5t_ard_3-0-0_111074_2005-09-23_final
2007-06-14 09:58:13	ga_ls5t_ard_3-0-0_098070_2007-06-14_final
2008-01-28 09:29:07	ga_ls5t_ard_3-0-0_094067_2008-01-27_final
2008-08-23 09:23:57	ga_ls5t_ard_3-0-0_094067_2008-08-22_final
2008-11-20 09:21:28	ga_ls5t_ard_3-0-0_093082_2008-11-19_final
2009-02-11 09:48:43	ga_ls5t_ard_3-0-0_098067_2009-02-11_final
2010-04-16 11:04:37	ga_ls5t_ard_3-0-0_109074_2010-04-16_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