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

58 results

Time (local)	Label
1987-12-19 10:08:02	ga_ls5t_ard_3-0-0_103081_1987-12-19_final
1987-12-19 10:08:26	ga_ls5t_ard_3-0-0_103082_1987-12-19_final
1988-03-09 09:10:29	ga_ls5t_ard_3-0-0_094073_1988-03-08_final
1988-04-13 09:44:01	ga_ls5t_ard_3-0-0_099079_1988-04-13_final
1988-04-18 09:58:36	ga_ls5t_ard_3-0-0_102069_1988-04-18_final
1988-06-08 08:59:00	ga_ls5t_ard_3-0-0_091089_1988-06-07_final
1988-08-10 09:50:24	ga_ls5t_ard_3-0-0_100078_1988-08-10_final
1988-08-29 08:46:54	ga_ls5t_ard_3-1-0_089089_1988-08-28_final
1988-10-22 09:40:28	ga_ls5t_ard_3-0-0_099069_1988-10-22_final
1988-11-06 10:38:09	ga_ls5t_ard_3-0-0_108074_1988-11-06_final
1988-11-15 10:30:45	ga_ls5t_ard_3-0-0_107071_1988-11-15_final
1989-01-25 10:37:30	ga_ls5t_ard_3-0-0_108074_1989-01-25_final
1989-04-16 09:39:47	ga_ls5t_ard_3-0-0_099071_1989-04-16_final
1990-05-24 08:27:19	ga_ls5t_ard_3-0-0_088082_1990-05-23_final
1990-08-20 09:17:19	ga_ls5t_ard_3-0-0_096084_1990-08-19_final
1992-04-11 08:31:07	ga_ls5t_ard_3-0-0_088082_1992-04-10_final
1992-08-02 10:48:28	ga_ls5t_ard_3-0-0_111073_1992-08-02_final
1993-07-13 10:45:30	ga_ls5t_ard_3-0-0_110082_1993-07-13_final
1994-04-28 09:47:20	ga_ls5t_ard_3-0-0_101082_1994-04-28_final
1994-08-03 10:27:33	ga_ls5t_ard_3-0-0_108080_1994-08-03_final
1994-10-11 09:00:13	ga_ls5t_ard_3-0-0_095067_1994-10-10_final
1995-02-24 09:45:15	ga_ls5t_ard_3-0-0_103068_1995-02-24_final
1995-07-31 09:07:52	ga_ls5t_ard_3-0-0_098069_1995-07-30_final
1995-08-20 08:44:14	ga_ls5t_ard_3-0-0_094074_1995-08-19_final
1996-05-09 08:58:19	ga_ls5t_ard_3-0-0_095075_1996-05-08_final
1996-10-02 08:50:40	ga_ls5t_ard_3-0-0_093067_1996-10-01_final
1997-08-06 10:23:47	ga_ls5t_ard_3-1-0_105083_1997-08-06_final
1998-03-16 09:00:17	ga_ls5t_ard_3-0-0_091077_1998-03-15_final
1998-09-20 11:04:53	ga_ls5t_ard_3-0-0_111074_1998-09-20_final
1998-11-20 08:56:32	ga_ls5t_ard_3-0-0_090077_1998-11-19_final
1999-01-07 10:31:51	ga_ls5t_ard_3-0-0_106068_1999-01-07_final
1999-02-19 10:13:30	ga_ls5t_ard_3-0-0_103068_1999-02-19_final
1999-04-28 11:29:55	ga_ls5t_ard_3-0-0_115075_1999-04-28_final
1999-08-08 10:51:48	ga_ls5t_ard_3-0-0_109075_1999-08-08_final
1999-08-18 09:51:28	ga_ls5t_ard_3-0-0_099079_1999-08-18_final
2003-07-12 09:49:28	ga_ls5t_ard_3-0-0_099077_2003-07-12_final
2003-09-09 11:09:40	ga_ls5t_ard_3-0-0_112074_2003-09-09_final
2003-11-04 10:18:26	ga_ls5t_ard_3-0-0_104068_2003-11-04_final
2003-12-27 10:44:04	ga_ls5t_ard_3-0-0_107084_2003-12-27_final
2004-01-27 09:58:32	ga_ls5t_ard_3-0-0_100078_2004-01-27_final
2004-03-20 10:18:33	ga_ls5t_ard_3-0-0_103081_2004-03-20_final
2004-12-11 09:17:40	ga_ls5t_ard_3-0-0_093067_2004-12-10_final
2004-12-25 09:32:38	ga_ls5t_ard_3-0-0_095073_2004-12-25_final
2005-01-13 10:02:58	ga_ls5t_ard_3-0-0_100071_2005-01-13_final
2005-04-14 09:44:41	ga_ls5t_ard_3-1-0_097069_2005-04-14_final
2005-05-06 10:49:24	ga_ls5t_ard_3-0-0_107076_2005-05-06_final
2005-07-22 10:21:05	ga_ls5t_ard_3-0-0_102081_2005-07-22_final
2006-02-06 10:25:22	ga_ls5t_ard_3-0-0_103070_2006-02-06_final
2006-06-28 10:42:11	ga_ls5t_ard_3-0-0_105075_2006-06-28_final
2006-12-21 09:06:50	ga_ls5t_ard_3-0-0_089079_2006-12-20_final
2007-02-13 10:04:54	ga_ls5t_ard_3-0-0_099069_2007-02-13_final
2007-05-20 11:45:40	ga_ls5t_ard_3-0-0_115075_2007-05-20_final
2007-08-08 11:45:51	ga_ls5t_ard_3-0-0_115078_2007-08-08_final
2008-01-25 09:03:03	ga_ls5t_ard_3-0-0_089079_2008-01-24_final
2008-02-02 09:49:11	ga_ls5t_ard_3-0-0_097071_2008-02-02_final
2009-09-23 09:57:59	ga_ls5t_ard_3-0-0_098080_2009-09-23_final
2010-12-28 11:02:01	ga_ls5t_ard_3-0-0_109070_2010-12-28_final
2011-10-20 10:11:05	ga_ls5t_ard_3-0-0_101071_2011-10-20_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