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
1986-08-21 09:40:44	ga_ls5t_ard_3-0-0_100077_1986-08-21_final
1988-05-27 10:04:42	ga_ls5t_ard_3-0-0_103068_1988-05-27_final
1988-06-16 11:23:23	ga_ls5t_ard_3-0-0_115079_1988-06-16_final
1989-01-17 09:49:24	ga_ls5t_ard_3-0-0_100077_1989-01-17_final
1989-03-12 09:07:40	ga_ls5t_ard_3-0-0_094067_1989-03-11_final
1989-05-22 09:19:36	ga_ls5t_ard_3-0-0_095084_1989-05-21_final
1990-04-16 09:06:26	ga_ls5t_ard_3-0-0_094087_1990-04-15_final
1991-06-17 08:51:20	ga_ls5t_ard_3-0-0_091089_1991-06-16_final
1991-09-06 09:30:45	ga_ls5t_ard_3-0-0_098077_1991-09-06_final
1991-12-31 09:02:32	ga_ls5t_ard_3-0-0_094067_1991-12-30_final
1992-01-29 10:13:20	ga_ls5t_ard_3-0-0_105074_1992-01-29_final
1992-08-22 08:48:07	ga_ls5t_ard_3-0-0_091082_1992-08-21_final
1993-07-01 08:42:42	ga_ls5t_ard_3-0-0_090084_1993-06-30_final
1995-01-15 10:38:41	ga_ls5t_ard_3-0-0_111074_1995-01-15_final
1996-03-22 10:37:52	ga_ls5t_ard_3-0-0_111084_1996-03-22_final
1996-06-21 08:44:34	ga_ls5t_ard_3-0-0_092081_1996-06-20_final
1997-01-26 10:13:35	ga_ls5t_ard_3-0-0_105075_1997-01-26_final
1997-07-22 11:02:58	ga_ls5t_ard_3-0-0_112074_1997-07-22_final
1997-11-10 08:46:01	ga_ls5t_ard_3-0-0_089079_1997-11-09_final
1997-11-11 09:31:18	ga_ls5t_ard_3-0-0_096084_1997-11-11_final
1998-02-17 10:59:16	ga_ls5t_ard_3-0-0_110082_1998-02-17_final
1998-04-23 10:04:34	ga_ls5t_ard_3-0-0_101082_1998-04-23_final
1998-07-04 10:52:14	ga_ls5t_ard_3-0-0_109075_1998-07-04_final
1998-07-30 09:48:40	ga_ls5t_ard_3-0-0_099070_1998-07-30_final
1999-01-20 10:06:29	ga_ls5t_ard_3-0-0_101082_1999-01-20_final
1999-06-09 10:24:35	ga_ls5t_ard_3-0-0_105068_1999-06-09_final
1999-06-30 09:12:02	ga_ls5t_ard_3-0-0_092088_1999-06-29_final
1999-12-05 10:55:02	ga_ls5t_ard_3-1-0_110074_1999-12-05_final
2004-05-12 10:36:26	ga_ls5t_ard_3-0-0_106076_2004-05-12_final
2004-08-21 10:56:53	ga_ls5t_ard_3-0-0_109074_2004-08-21_final
2004-11-25 10:58:59	ga_ls5t_ard_3-0-0_109074_2004-11-25_final
2005-01-16 10:33:08	ga_ls5t_ard_3-0-0_105069_2005-01-16_final
2005-03-10 10:54:27	ga_ls5t_ard_3-0-0_108074_2005-03-10_final
2005-03-19 10:49:09	ga_ls5t_ard_3-0-0_107076_2005-03-19_final
2005-04-27 10:55:07	ga_ls5t_ard_3-0-0_108075_2005-04-27_final
2005-05-08 09:00:34	ga_ls5t_ard_3-0-0_089082_2005-05-07_final
2005-09-10 10:09:50	ga_ls5t_ard_3-0-0_100083_2005-09-10_final
2005-11-07 10:42:10	ga_ls5t_ard_3-0-0_106071_2005-11-07_final
2005-11-16 09:03:19	ga_ls5t_ard_3-1-0_089086_2005-11-15_final
2006-01-21 10:25:47	ga_ls5t_ard_3-0-0_103072_2006-01-21_final
2006-02-17 10:09:52	ga_ls5t_ard_3-0-0_100077_2006-02-17_final
2006-04-16 10:47:17	ga_ls5t_ard_3-0-0_106075_2006-04-16_final
2006-09-06 10:09:13	ga_ls5t_ard_3-0-0_099083_2006-09-06_final
2006-11-03 10:43:43	ga_ls5t_ard_3-0-0_105075_2006-11-03_final
2006-11-06 11:17:27	ga_ls5t_ard_3-0-0_110082_2006-11-06_final
2007-03-16 09:27:11	ga_ls5t_ard_3-0-0_092083_2007-03-15_final
2007-05-27 10:11:17	ga_ls5t_ard_3-0-0_100071_2007-05-27_final
2008-04-17 11:08:23	ga_ls5t_ard_3-0-0_110072_2008-04-17_final
2008-05-10 09:33:04	ga_ls5t_ard_3-0-0_095067_2008-05-10_final
2008-09-17 09:17:03	ga_ls5t_ard_3-0-0_093067_2008-09-16_final
2009-02-22 11:14:55	ga_ls5t_ard_3-0-0_111081_2009-02-22_final
2009-09-22 10:51:36	ga_ls5t_ard_3-0-0_107075_2009-09-22_final
2010-02-14 10:01:02	ga_ls5t_ard_3-0-0_098085_2010-02-14_final
2010-09-23 11:04:16	ga_ls5t_ard_3-0-0_109075_2010-09-23_final
2010-11-19 10:57:21	ga_ls5t_ard_3-0-0_108074_2010-11-19_final
2011-06-24 10:51:03	ga_ls5t_ard_3-0-0_107075_2011-06-24_final
2011-09-19 10:55:59	ga_ls5t_ard_3-0-0_108074_2011-09-19_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