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

49 results

Time (local)	Label
1987-12-17 08:40:41	ga_ls5t_ard_3-0-0_089079_1987-12-16_final
1988-05-07 08:53:11	ga_ls5t_ard_3-1-0_091075_1988-05-06_final
1988-08-25 10:47:42	ga_ls5t_ard_3-0-0_109082_1988-08-25_final
1988-10-22 09:41:16	ga_ls5t_ard_3-0-0_099071_1988-10-22_final
1988-12-19 08:42:03	ga_ls5t_ard_3-0-0_089078_1988-12-18_final
1989-05-08 10:42:26	ga_ls5t_ard_3-0-0_109074_1989-05-08_final
1990-10-12 09:30:20	ga_ls5t_ard_3-0-0_099071_1990-10-12_final
1990-11-22 09:26:45	ga_ls5t_ard_3-0-0_098078_1990-11-21_final
1991-02-19 09:21:16	ga_ls5t_ard_3-0-0_097076_1991-02-18_final
1991-06-19 08:35:02	ga_ls5t_ard_3-0-0_089079_1991-06-18_final
1991-07-11 11:15:12	ga_ls5t_ard_3-0-0_115077_1991-07-11_final
1991-11-17 10:17:48	ga_ls5t_ard_3-0-0_106070_1991-11-17_final
1992-10-26 09:29:08	ga_ls5t_ard_3-0-0_098079_1992-10-25_final
1993-03-27 08:41:15	ga_ls5t_ard_3-0-0_090081_1993-03-26_final
1993-04-17 10:36:28	ga_ls5t_ard_3-0-0_109075_1993-04-17_final
1993-11-04 10:31:12	ga_ls5t_ard_3-0-0_108078_1993-11-04_final
1995-02-02 10:25:37	ga_ls5t_ard_3-0-0_109074_1995-02-02_final
1995-04-01 09:22:40	ga_ls5t_ard_3-0-0_099077_1995-03-31_final
1995-05-03 09:21:18	ga_ls5t_ard_3-0-0_099077_1995-05-02_final
1998-02-04 09:49:02	ga_ls5t_ard_3-0-0_099077_1998-02-04_final
1998-03-02 08:48:29	ga_ls5t_ard_3-0-0_089079_1998-03-01_final
1998-10-31 10:58:47	ga_ls5t_ard_3-0-0_110074_1998-10-31_final
1998-11-04 10:36:05	ga_ls5t_ard_3-0-0_106079_1998-11-04_final
1999-11-29 09:54:32	ga_ls5t_ard_3-0-0_100077_1999-11-29_final
2003-08-23 10:26:54	ga_ls5t_ard_3-0-0_105076_2003-08-23_final
2003-11-08 09:54:59	ga_ls5t_ard_3-0-0_100071_2003-11-08_final
2004-04-09 09:52:36	ga_ls5t_ard_3-0-0_099077_2004-04-09_final
2004-05-02 09:59:51	ga_ls5t_ard_3-0-0_100078_2004-05-02_final
2004-11-16 11:02:10	ga_ls5t_ard_3-0-0_110067_2004-11-16_final
2004-11-20 10:40:42	ga_ls5t_ard_3-0-0_106075_2004-11-20_final
2004-11-26 10:04:35	ga_ls5t_ard_3-0-0_100077_2004-11-26_final
2005-01-23 10:41:48	ga_ls5t_ard_3-0-0_106075_2005-01-23_final
2005-05-05 10:06:56	ga_ls5t_ard_3-0-0_100078_2005-05-05_final
2005-08-18 09:58:46	ga_ls5t_ard_3-0-0_099071_2005-08-18_final
2005-08-18 10:01:34	ga_ls5t_ard_3-0-0_099078_2005-08-18_final
2005-11-01 09:38:39	ga_ls5t_ard_3-0-0_096067_2005-11-01_final
2006-05-09 10:53:48	ga_ls5t_ard_3-0-0_107075_2006-05-09_final
2006-05-25 10:54:00	ga_ls5t_ard_3-0-0_107075_2006-05-25_final
2007-02-01 11:20:39	ga_ls5t_ard_3-0-0_111073_2007-02-01_final
2007-04-03 09:12:21	ga_ls5t_ard_3-0-0_090077_2007-04-02_final
2007-09-03 10:42:59	ga_ls5t_ard_3-0-0_105076_2007-09-03_final
2007-10-03 10:54:41	ga_ls5t_ard_3-0-0_107075_2007-10-03_final
2008-01-14 09:21:01	ga_ls5t_ard_3-0-0_092077_2008-01-13_final
2008-09-03 10:47:11	ga_ls5t_ard_3-0-0_107075_2008-09-03_final
2008-11-25 09:38:35	ga_ls5t_ard_3-0-0_096078_2008-11-25_final
2008-12-24 10:46:15	ga_ls5t_ard_3-0-0_107075_2008-12-24_final
2009-12-08 10:18:37	ga_ls5t_ard_3-0-0_102068_2009-12-08_final
2010-04-18 10:50:39	ga_ls5t_ard_3-0-0_107070_2010-04-18_final
2011-08-21 09:46:21	ga_ls5t_ard_3-0-0_097069_2011-08-21_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