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
1986-08-18 09:05:57	ga_ls5t_ard_3-1-0_095067_1986-08-17_final
1988-02-17 08:57:43	ga_ls5t_ard_3-0-0_091088_1988-02-16_final
1988-09-29 09:40:22	ga_ls5t_ard_3-0-0_098084_1988-09-29_final
1988-11-24 08:52:53	ga_ls5t_ard_3-0-0_090089_1988-11-23_final
1989-01-25 10:37:30	ga_ls5t_ard_3-0-0_108074_1989-01-25_final
1989-05-17 10:36:01	ga_ls5t_ard_3-0-0_108074_1989-05-17_final
1989-10-03 10:12:41	ga_ls5t_ard_3-0-0_105069_1989-10-03_final
1989-12-04 08:50:16	ga_ls5t_ard_3-0-0_091084_1989-12-03_final
1990-05-29 08:49:03	ga_ls5t_ard_3-0-0_091090_1990-05-28_final
1990-10-05 11:04:10	ga_ls5t_ard_3-0-0_114074_1990-10-05_final
1991-11-07 09:41:04	ga_ls5t_ard_3-0-0_100071_1991-11-07_final
1992-01-24 09:57:31	ga_ls5t_ard_3-0-0_102081_1992-01-24_final
1992-02-08 10:50:16	ga_ls5t_ard_3-0-0_111074_1992-02-08_final
1992-05-26 09:37:07	ga_ls5t_ard_3-0-0_099078_1992-05-26_final
1992-10-21 10:47:33	ga_ls5t_ard_3-0-0_111074_1992-10-21_final
1993-05-12 08:56:19	ga_ls5t_ard_3-0-0_092087_1993-05-11_final
1993-10-03 10:29:49	ga_ls5t_ard_3-0-0_108074_1993-10-03_final
1993-10-15 10:54:28	ga_ls5t_ard_3-0-0_112074_1993-10-15_final
1994-09-26 09:49:31	ga_ls5t_ard_3-0-0_102081_1994-09-26_final
1994-12-09 08:47:42	ga_ls5t_ard_3-0-0_092087_1994-12-08_final
1995-01-30 09:58:02	ga_ls5t_ard_3-0-0_104082_1995-01-30_final
1995-03-04 08:55:06	ga_ls5t_ard_3-0-0_095067_1995-03-03_final
1995-06-26 10:19:49	ga_ls5t_ard_3-0-0_109075_1995-06-26_final
1996-04-18 10:17:01	ga_ls5t_ard_3-0-0_108074_1996-04-18_final
1996-06-21 10:20:40	ga_ls5t_ard_3-0-0_108074_1996-06-21_final
1996-06-26 08:57:47	ga_ls5t_ard_3-0-0_095067_1996-06-25_final
1996-08-07 09:41:04	ga_ls5t_ard_3-0-0_101077_1996-08-07_final
1996-08-13 09:00:18	ga_ls5t_ard_3-0-0_095067_1996-08-12_final
1996-12-27 09:57:02	ga_ls5t_ard_3-0-0_103068_1996-12-27_final
1997-01-04 09:07:34	ga_ls5t_ard_3-0-0_095067_1997-01-03_final
1997-01-09 09:30:44	ga_ls5t_ard_3-0-0_098078_1997-01-09_final
1997-02-17 09:35:03	ga_ls5t_ard_3-0-0_099069_1997-02-17_final
1997-06-05 10:08:32	ga_ls5t_ard_3-0-0_103081_1997-06-05_final
1997-12-24 10:48:41	ga_ls5t_ard_3-0-0_109074_1997-12-24_final
1998-01-18 10:43:05	ga_ls5t_ard_3-0-0_108074_1998-01-18_final
1998-03-24 11:28:43	ga_ls5t_ard_3-0-0_115077_1998-03-24_final
1998-06-06 10:27:11	ga_ls5t_ard_3-0-0_105075_1998-06-06_final
1998-08-17 11:20:31	ga_ls5t_ard_3-0-0_113083_1998-08-17_final
1998-12-18 11:02:53	ga_ls5t_ard_3-0-0_110084_1998-12-18_final
1999-07-20 08:44:52	ga_ls5t_ard_3-0-0_088082_1999-07-19_final
2004-04-10 10:35:30	ga_ls5t_ard_3-0-0_106076_2004-04-10_final
2004-06-09 11:01:10	ga_ls5t_ard_3-0-0_110074_2004-06-09_final
2004-06-12 11:33:45	ga_ls5t_ard_3-0-0_115078_2004-06-12_final
2004-08-25 10:32:40	ga_ls5t_ard_3-0-0_105075_2004-08-25_final
2004-11-20 10:41:06	ga_ls5t_ard_3-0-0_106076_2004-11-20_final
2005-01-03 09:31:22	ga_ls5t_ard_3-0-0_094085_2005-01-03_final
2005-05-07 09:54:35	ga_ls5t_ard_3-0-0_098078_2005-05-07_final
2005-05-23 09:54:42	ga_ls5t_ard_3-0-0_098078_2005-05-23_final
2005-07-25 09:15:31	ga_ls5t_ard_3-0-0_091087_2005-07-24_final
2005-07-29 10:23:44	ga_ls5t_ard_3-0-0_103072_2005-07-29_final
2006-01-31 11:04:19	ga_ls5t_ard_3-0-0_109075_2006-01-31_final
2006-09-10 09:38:09	ga_ls5t_ard_3-0-0_095067_2006-09-10_final
2006-12-07 10:30:27	ga_ls5t_ard_3-0-0_103072_2006-12-07_final
2007-04-25 10:11:38	ga_ls5t_ard_3-0-0_100071_2007-04-25_final
2007-07-15 09:22:32	ga_ls5t_ard_3-0-0_091090_2007-07-14_final
2008-09-03 10:47:11	ga_ls5t_ard_3-0-0_107075_2008-09-03_final
2009-03-10 09:33:13	ga_ls5t_ard_3-0-0_095073_2009-03-10_final
2009-12-08 10:23:48	ga_ls5t_ard_3-0-0_102081_2009-12-08_final
2010-02-16 09:42:42	ga_ls5t_ard_3-0-0_096070_2010-02-16_final
2010-05-12 10:03:55	ga_ls5t_ard_3-0-0_099077_2010-05-12_final
2010-08-20 09:34:43	ga_ls5t_ard_3-0-0_095067_2010-08-20_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years