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

67 results

Time (local)	Label
1986-08-21 09:41:08	ga_ls5t_ard_3-0-0_100078_1986-08-21_final
1988-04-02 10:03:18	ga_ls5t_ard_3-0-0_102081_1988-04-02_final
1989-03-23 10:32:41	ga_ls5t_ard_3-0-0_107080_1989-03-23_final
1989-06-19 09:41:21	ga_ls5t_ard_3-0-0_099078_1989-06-19_final
1989-06-30 09:21:29	ga_ls5t_ard_3-0-0_096075_1989-06-29_final
1989-07-02 09:05:53	ga_ls5t_ard_3-0-0_094067_1989-07-01_final
1990-03-25 09:39:32	ga_ls5t_ard_3-0-0_100077_1990-03-25_final
1990-07-13 09:53:22	ga_ls5t_ard_3-0-0_102081_1990-07-13_final
1990-09-02 10:24:00	ga_ls5t_ard_3-0-0_107081_1990-09-02_final
1990-11-26 08:57:33	ga_ls5t_ard_3-0-0_094067_1990-11-25_final
1990-12-20 09:52:47	ga_ls5t_ard_3-0-0_102081_1990-12-20_final
1991-07-17 09:02:33	ga_ls5t_ard_3-0-0_093085_1991-07-16_final
1991-07-21 10:13:12	ga_ls5t_ard_3-0-0_105076_1991-07-21_final
1991-09-21 08:46:50	ga_ls5t_ard_3-1-0_091075_1991-09-20_final
1992-05-10 09:34:51	ga_ls5t_ard_3-0-0_099072_1992-05-10_final
1993-07-13 10:44:18	ga_ls5t_ard_3-0-0_110079_1993-07-13_final
1993-11-09 10:46:54	ga_ls5t_ard_3-1-0_111071_1993-11-09_final
1994-09-18 08:54:42	ga_ls5t_ard_3-0-0_094067_1994-09-17_final
1994-11-21 08:52:36	ga_ls5t_ard_3-0-0_094067_1994-11-20_final
1995-02-19 09:30:29	ga_ls5t_ard_3-0-0_100077_1995-02-19_final
1995-04-01 09:23:04	ga_ls5t_ard_3-0-0_099078_1995-03-31_final
1995-07-12 10:18:41	ga_ls5t_ard_3-0-0_109074_1995-07-12_final
1995-11-08 08:37:42	ga_ls5t_ard_3-0-0_094067_1995-11-07_final
1995-11-28 08:18:56	ga_ls5t_ard_3-0-0_090081_1995-11-27_final
1996-02-24 09:13:46	ga_ls5t_ard_3-0-0_098079_1996-02-23_final
1996-05-29 08:40:20	ga_ls5t_ard_3-0-0_091089_1996-05-28_final
1996-08-09 11:07:42	ga_ls5t_ard_3-0-0_115077_1996-08-09_final
1996-11-15 09:22:44	ga_ls5t_ard_3-0-0_097080_1996-11-14_final
1997-03-27 10:40:21	ga_ls5t_ard_3-0-0_109074_1997-03-27_final
1997-12-31 09:13:22	ga_ls5t_ard_3-0-0_094067_1997-12-30_final
1998-03-24 11:27:55	ga_ls5t_ard_3-0-0_115075_1998-03-24_final
1998-04-15 10:50:42	ga_ls5t_ard_3-0-0_109074_1998-04-15_final
1998-05-31 09:24:29	ga_ls5t_ard_3-0-0_095073_1998-05-30_final
1999-03-03 10:43:21	ga_ls5t_ard_3-0-0_107081_1999-03-03_final
1999-03-27 09:51:55	ga_ls5t_ard_3-0-0_099077_1999-03-27_final
1999-07-07 10:51:30	ga_ls5t_ard_3-0-0_109074_1999-07-07_final
1999-11-19 09:13:48	ga_ls5t_ard_3-0-0_094067_1999-11-18_final
2003-07-20 09:04:58	ga_ls5t_ard_3-0-0_091089_2003-07-19_final
2003-07-29 10:32:15	ga_ls5t_ard_3-0-0_106075_2003-07-29_final
2003-11-30 09:16:44	ga_ls5t_ard_3-0-0_094067_2003-11-29_final
2004-03-16 10:43:15	ga_ls5t_ard_3-0-0_107081_2004-03-16_final
2004-04-17 10:43:54	ga_ls5t_ard_3-0-0_107081_2004-04-17_final
2004-07-21 10:01:45	ga_ls5t_ard_3-0-0_100077_2004-07-21_final
2004-10-29 09:36:34	ga_ls5t_ard_3-0-0_096070_2004-10-29_final
2004-10-29 09:37:46	ga_ls5t_ard_3-0-0_096073_2004-10-29_final
2004-10-29 09:40:09	ga_ls5t_ard_3-0-0_096079_2004-10-29_final
2004-11-11 10:49:10	ga_ls5t_ard_3-0-0_107081_2004-11-11_final
2004-12-18 09:23:58	ga_ls5t_ard_3-0-0_094067_2004-12-17_final
2005-01-30 10:48:28	ga_ls5t_ard_3-0-0_107076_2005-01-30_final
2005-02-14 10:05:50	ga_ls5t_ard_3-0-0_100077_2005-02-14_final
2005-03-19 10:51:08	ga_ls5t_ard_3-0-0_107081_2005-03-19_final
2005-04-17 10:20:22	ga_ls5t_ard_3-0-0_102081_2005-04-17_final
2005-06-15 11:39:33	ga_ls5t_ard_3-0-0_115077_2005-06-15_final
2005-07-09 10:51:49	ga_ls5t_ard_3-0-0_107081_2005-07-09_final
2005-08-01 10:55:28	ga_ls5t_ard_3-0-0_108074_2005-08-01_final
2005-08-10 10:52:09	ga_ls5t_ard_3-0-0_107081_2005-08-10_final
2006-01-26 09:07:34	ga_ls5t_ard_3-0-0_090077_2006-01-25_final
2006-02-03 10:00:00	ga_ls5t_ard_3-0-0_098084_2006-02-03_final
2006-02-07 09:28:35	ga_ls5t_ard_3-0-0_094067_2006-02-06_final
2006-08-02 09:31:29	ga_ls5t_ard_3-0-0_094067_2006-08-02_final
2006-08-18 09:31:41	ga_ls5t_ard_3-0-0_094067_2006-08-18_final
2007-08-08 11:45:27	ga_ls5t_ard_3-0-0_115077_2007-08-08_final
2008-01-22 10:10:18	ga_ls5t_ard_3-0-0_100077_2008-01-22_final
2009-10-13 09:28:18	ga_ls5t_ard_3-0-0_094067_2009-10-12_final
2010-09-01 10:00:12	ga_ls5t_ard_3-0-0_099069_2010-09-01_final
2010-11-11 10:09:05	ga_ls5t_ard_3-0-0_100077_2010-11-11_final
2011-04-20 10:08:59	ga_ls5t_ard_3-0-0_100077_2011-04-20_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years