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

57 results

Time (local)	Label
1987-09-11 09:30:30	ga_ls5t_ard_3-0-0_098069_1987-09-11_final
1987-09-18 09:40:02	ga_ls5t_ard_3-0-0_099077_1987-09-18_final
1989-05-18 09:41:34	ga_ls5t_ard_3-0-0_099077_1989-05-18_final
1989-07-20 09:00:43	ga_ls5t_ard_3-0-0_092086_1989-07-19_final
1989-10-01 10:29:51	ga_ls5t_ard_3-0-0_107081_1989-10-01_final
1990-05-12 09:39:33	ga_ls5t_ard_3-1-0_100077_1990-05-12_final
1990-05-22 10:13:49	ga_ls5t_ard_3-0-0_106070_1990-05-22_final
1990-07-24 09:31:59	ga_ls5t_ard_3-0-0_099074_1990-07-24_final
1990-09-09 10:27:23	ga_ls5t_ard_3-0-0_108074_1990-09-09_final
1990-10-06 08:35:40	ga_ls5t_ard_3-1-0_089089_1990-10-05_final
1990-12-28 10:40:47	ga_ls5t_ard_3-0-0_110077_1990-12-28_final
1993-06-02 09:14:33	ga_ls5t_ard_3-0-0_095086_1993-06-01_final
1994-01-16 10:22:44	ga_ls5t_ard_3-0-0_107074_1994-01-16_final
1994-02-02 09:28:57	ga_ls5t_ard_3-0-0_098079_1994-02-01_final
1994-12-14 10:40:34	ga_ls5t_ard_3-0-0_111076_1994-12-14_final
1995-04-17 09:22:48	ga_ls5t_ard_3-0-0_099079_1995-04-16_final
1995-06-19 08:38:40	ga_ls5t_ard_3-0-0_092084_1995-06-18_final
1995-06-19 08:40:16	ga_ls5t_ard_3-0-0_092088_1995-06-18_final
1996-06-12 10:26:22	ga_ls5t_ard_3-0-0_109074_1996-06-12_final
1996-12-15 09:36:07	ga_ls5t_ard_3-0-0_099079_1996-12-15_final
1997-04-10 09:13:55	ga_ls5t_ard_3-0-0_095073_1997-04-09_final
1998-03-16 10:40:46	ga_ls5t_ard_3-0-0_107081_1998-03-16_final
1998-04-15 10:50:42	ga_ls5t_ard_3-0-0_109074_1998-04-15_final
1998-04-17 10:38:21	ga_ls5t_ard_3-0-0_107074_1998-04-17_final
1998-06-09 09:23:37	ga_ls5t_ard_3-0-0_094086_1998-06-08_final
1998-08-07 10:42:33	ga_ls5t_ard_3-0-0_107081_1998-08-07_final
1999-01-19 10:59:42	ga_ls5t_ard_3-0-0_110076_1999-01-19_final
1999-08-26 10:41:32	ga_ls5t_ard_3-0-0_107081_1999-08-26_final
1999-08-27 09:44:42	ga_ls5t_ard_3-0-0_098078_1999-08-27_final
2003-09-20 10:51:18	ga_ls5t_ard_3-0-0_109074_2003-09-20_final
2003-09-22 10:41:45	ga_ls5t_ard_3-0-0_107081_2003-09-22_final
2003-11-09 10:40:16	ga_ls5t_ard_3-0-0_107076_2003-11-09_final
2003-12-11 10:42:40	ga_ls5t_ard_3-0-0_107081_2003-12-11_final
2004-01-13 09:46:06	ga_ls5t_ard_3-0-0_098078_2004-01-13_final
2004-03-16 10:41:16	ga_ls5t_ard_3-0-0_107076_2004-03-16_final
2004-04-01 10:41:23	ga_ls5t_ard_3-0-0_107076_2004-04-01_final
2004-06-12 09:54:28	ga_ls5t_ard_3-0-0_099077_2004-06-12_final
2004-08-07 10:44:57	ga_ls5t_ard_3-0-0_107076_2004-08-07_final
2004-09-08 10:45:49	ga_ls5t_ard_3-0-0_107076_2004-09-08_final
2004-11-20 10:40:42	ga_ls5t_ard_3-0-0_106075_2004-11-20_final
2004-11-27 10:49:27	ga_ls5t_ard_3-0-0_107081_2004-11-27_final
2004-12-13 10:49:48	ga_ls5t_ard_3-0-0_107081_2004-12-13_final
2005-02-13 11:00:15	ga_ls5t_ard_3-0-0_109074_2005-02-13_final
2005-04-04 10:51:14	ga_ls5t_ard_3-0-0_107081_2005-04-04_final
2006-02-02 10:51:36	ga_ls5t_ard_3-0-0_107074_2006-02-02_final
2006-04-15 10:01:36	ga_ls5t_ard_3-0-0_099069_2006-04-15_final
2006-07-03 09:27:06	ga_ls5t_ard_3-0-0_092088_2006-07-02_final
2006-11-08 09:28:36	ga_ls5t_ard_3-0-0_092088_2006-11-07_final
2007-03-09 10:59:06	ga_ls5t_ard_3-0-0_107081_2007-03-09_final
2007-05-12 10:58:43	ga_ls5t_ard_3-0-0_107081_2007-05-12_final
2007-05-24 11:20:06	ga_ls5t_ard_3-0-0_111073_2007-05-24_final
2007-07-23 10:07:31	ga_ls5t_ard_3-0-0_099079_2007-07-23_final
2008-04-28 10:50:45	ga_ls5t_ard_3-0-0_107075_2008-04-28_final
2009-03-14 10:48:17	ga_ls5t_ard_3-0-0_107075_2009-03-14_final
2009-11-09 10:52:05	ga_ls5t_ard_3-0-0_107075_2009-11-09_final
2010-12-30 10:51:40	ga_ls5t_ard_3-0-0_107075_2010-12-30_final
2011-01-15 10:51:42	ga_ls5t_ard_3-0-0_107075_2011-01-15_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years