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

60 results

Time (local)	Label
1988-01-21 09:07:23	ga_ls5t_ard_3-0-0_094067_1988-01-20_final
1988-05-23 08:53:19	ga_ls5t_ard_3-1-0_091075_1988-05-22_final
1988-08-10 09:50:00	ga_ls5t_ard_3-0-0_100077_1988-08-10_final
1988-10-03 09:08:52	ga_ls5t_ard_3-0-0_094067_1988-10-02_final
1988-11-04 09:08:51	ga_ls5t_ard_3-0-0_094067_1988-11-03_final
1989-09-07 11:18:13	ga_ls5t_ard_3-0-0_115077_1989-09-07_final
1990-08-22 08:58:09	ga_ls5t_ard_3-0-0_094067_1990-08-21_final
1990-12-15 09:28:31	ga_ls5t_ard_3-0-0_099067_1990-12-14_final
1991-03-02 08:59:18	ga_ls5t_ard_3-0-0_094067_1991-03-01_final
1991-05-16 08:45:17	ga_ls5t_ard_3-1-0_091075_1991-05-15_final
1992-07-26 09:01:05	ga_ls5t_ard_3-0-0_094067_1992-07-25_final
1993-03-10 09:32:53	ga_ls5t_ard_3-0-0_099071_1993-03-10_final
1993-03-19 09:29:54	ga_ls5t_ard_3-1-0_098079_1993-03-18_final
1993-05-20 09:42:11	ga_ls5t_ard_3-0-0_100078_1993-05-20_final
1993-06-21 09:41:47	ga_ls5t_ard_3-0-0_100077_1993-06-21_final
1993-10-17 09:00:25	ga_ls5t_ard_3-0-0_094067_1993-10-16_final
1994-06-14 08:57:11	ga_ls5t_ard_3-0-0_094067_1994-06-13_final
1994-10-30 09:34:27	ga_ls5t_ard_3-0-0_100077_1994-10-30_final
1995-02-25 08:49:12	ga_ls5t_ard_3-0-0_094067_1995-02-24_final
1995-03-13 08:48:33	ga_ls5t_ard_3-0-0_094067_1995-03-12_final
1995-11-08 10:20:59	ga_ls5t_ard_3-0-0_110078_1995-11-08_final
1995-11-09 09:24:57	ga_ls5t_ard_3-0-0_101077_1995-11-08_final
1996-02-15 09:19:20	ga_ls5t_ard_3-0-0_099079_1996-02-14_final
1996-06-19 08:51:14	ga_ls5t_ard_3-0-0_094067_1996-06-18_final
1996-12-12 09:00:17	ga_ls5t_ard_3-0-0_094067_1996-12-11_final
1997-04-06 11:18:59	ga_ls5t_ard_3-0-0_115077_1997-04-06_final
1997-05-14 10:42:02	ga_ls5t_ard_3-0-0_109074_1997-05-14_final
1997-11-12 10:13:48	ga_ls5t_ard_3-0-0_103082_1997-11-12_final
1998-07-22 10:42:27	ga_ls5t_ard_3-0-0_107081_1998-07-22_final
1998-08-28 09:16:51	ga_ls5t_ard_3-0-0_094067_1998-08-27_final
1998-10-15 09:17:02	ga_ls5t_ard_3-0-0_094067_1998-10-14_final
1999-01-12 10:52:44	ga_ls5t_ard_3-0-0_109074_1999-01-12_final
1999-01-19 09:17:14	ga_ls5t_ard_3-0-0_094067_1999-01-18_final
1999-02-15 10:43:24	ga_ls5t_ard_3-0-0_107081_1999-02-15_final
1999-12-19 11:08:11	ga_ls5t_ard_3-0-0_112076_1999-12-19_final
2003-08-30 10:32:48	ga_ls5t_ard_3-0-0_106075_2003-08-30_final
2003-09-21 09:56:53	ga_ls5t_ard_3-0-0_100077_2003-09-21_final
2003-11-17 11:30:19	ga_ls5t_ard_3-0-0_115077_2003-11-17_final
2003-11-24 09:57:45	ga_ls5t_ard_3-0-0_100077_2003-11-24_final
2003-12-20 10:34:13	ga_ls5t_ard_3-0-0_106075_2003-12-20_final
2004-02-19 10:03:14	ga_ls5t_ard_3-0-0_101074_2004-02-19_final
2004-02-21 11:30:58	ga_ls5t_ard_3-0-0_115077_2004-02-21_final
2004-04-26 10:35:34	ga_ls5t_ard_3-0-0_106075_2004-04-26_final
2004-07-06 09:10:32	ga_ls5t_ard_3-0-0_091089_2004-07-05_final
2004-09-01 10:39:02	ga_ls5t_ard_3-0-0_106075_2004-09-01_final
2004-10-31 09:23:03	ga_ls5t_ard_3-0-0_094067_2004-10-30_final
2004-11-23 09:31:36	ga_ls5t_ard_3-0-0_095072_2004-11-23_final
2005-02-01 10:36:07	ga_ls5t_ard_3-0-0_105076_2005-02-01_final
2005-03-24 09:25:15	ga_ls5t_ard_3-0-0_094067_2005-03-23_final
2005-06-30 10:55:09	ga_ls5t_ard_3-0-0_108074_2005-06-30_final
2005-10-10 10:18:06	ga_ls5t_ard_3-0-0_102073_2005-10-10_final
2005-10-13 10:52:12	ga_ls5t_ard_3-0-0_107081_2005-10-13_final
2006-01-31 11:03:31	ga_ls5t_ard_3-0-0_109073_2006-01-31_final
2006-07-17 09:31:17	ga_ls5t_ard_3-0-0_094067_2006-07-17_final
2006-10-07 09:23:07	ga_ls5t_ard_3-0-0_092075_2006-10-06_final
2007-03-01 11:46:58	ga_ls5t_ard_3-0-0_115077_2007-03-01_final
2007-07-14 10:12:58	ga_ls5t_ard_3-0-0_100077_2007-07-14_final
2008-02-29 09:28:33	ga_ls5t_ard_3-0-0_094067_2008-02-28_final
2008-11-11 09:21:23	ga_ls5t_ard_3-0-0_094067_2008-11-10_final
2009-12-16 09:28:51	ga_ls5t_ard_3-0-0_094067_2009-12-15_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