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

54 results

Time (local)	Label
1986-08-24 10:10:43	ga_ls5t_ard_3-0-0_105075_1986-08-24_final
1988-03-15 10:10:21	ga_ls5t_ard_3-0-0_104068_1988-03-15_final
1988-04-21 10:32:42	ga_ls5t_ard_3-0-0_107077_1988-04-21_final
1988-09-17 10:53:26	ga_ls5t_ard_3-0-0_110081_1988-09-17_final
1989-05-20 09:27:59	ga_ls5t_ard_3-0-0_097074_1989-05-19_final
1989-08-20 09:54:04	ga_ls5t_ard_3-0-0_101082_1989-08-20_final
1990-04-23 10:45:56	ga_ls5t_ard_3-0-0_111073_1990-04-23_final
1990-05-25 10:48:39	ga_ls5t_ard_3-0-0_111080_1990-05-25_final
1990-10-28 09:29:01	ga_ls5t_ard_3-0-0_099068_1990-10-27_final
1992-04-09 08:45:51	ga_ls5t_ard_3-0-0_090088_1992-04-08_final
1992-05-11 08:44:01	ga_ls5t_ard_3-0-0_090084_1992-05-10_final
1993-09-19 10:16:18	ga_ls5t_ard_3-0-0_106071_1993-09-19_final
1993-10-01 09:06:06	ga_ls5t_ard_3-0-0_094081_1993-09-30_final
1994-12-20 10:02:54	ga_ls5t_ard_3-0-0_105075_1994-12-20_final
1994-12-28 10:51:41	ga_ls5t_ard_3-0-0_113074_1994-12-28_final
1995-02-11 08:45:46	ga_ls5t_ard_3-0-0_092088_1995-02-10_final
1995-04-30 10:28:13	ga_ls5t_ard_3-0-0_110074_1995-04-30_final
1995-06-13 09:13:13	ga_ls5t_ard_3-0-0_098077_1995-06-12_final
1995-11-19 08:25:38	ga_ls5t_ard_3-0-0_091083_1995-11-18_final
1995-11-26 10:07:44	ga_ls5t_ard_3-0-0_108075_1995-11-26_final
1995-12-23 08:17:43	ga_ls5t_ard_3-1-0_089089_1995-12-22_final
1997-03-11 10:39:44	ga_ls5t_ard_3-0-0_109074_1997-03-11_final
1999-02-11 09:23:37	ga_ls5t_ard_3-0-0_095067_1999-02-10_final
1999-08-12 08:50:57	ga_ls5t_ard_3-0-0_089082_1999-08-11_final
1999-11-23 08:53:41	ga_ls5t_ard_3-0-0_090079_1999-11-22_final
1999-12-21 10:55:00	ga_ls5t_ard_3-1-0_110074_1999-12-21_final
2003-10-07 09:57:05	ga_ls5t_ard_3-0-0_100077_2003-10-07_final
2003-10-15 10:45:49	ga_ls5t_ard_3-0-0_108075_2003-10-15_final
2003-11-08 09:57:23	ga_ls5t_ard_3-0-0_100077_2003-11-08_final
2004-03-09 10:35:02	ga_ls5t_ard_3-0-0_106076_2004-03-09_final
2004-03-16 09:07:58	ga_ls5t_ard_3-0-0_091090_2004-03-15_final
2004-08-06 09:59:40	ga_ls5t_ard_3-0-0_100071_2004-08-06_final
2004-12-28 10:05:11	ga_ls5t_ard_3-0-0_100077_2004-12-28_final
2005-01-26 11:11:09	ga_ls5t_ard_3-1-0_111071_2005-01-26_final
2005-06-14 10:55:05	ga_ls5t_ard_3-0-0_108074_2005-06-14_final
2005-06-22 10:06:53	ga_ls5t_ard_3-0-0_100077_2005-06-22_final
2006-02-11 10:46:01	ga_ls5t_ard_3-0-0_106075_2006-02-11_final
2006-02-18 10:52:21	ga_ls5t_ard_3-0-0_107075_2006-02-18_final
2006-08-04 11:00:49	ga_ls5t_ard_3-0-0_108074_2006-08-04_final
2006-08-13 10:55:09	ga_ls5t_ard_3-0-0_107075_2006-08-13_final
2007-05-19 11:02:01	ga_ls5t_ard_3-0-0_108074_2007-05-19_final
2007-06-21 10:07:27	ga_ls5t_ard_3-0-0_099078_2007-06-21_final
2008-01-27 10:25:10	ga_ls5t_ard_3-0-0_103068_2008-01-27_final
2008-02-02 09:51:34	ga_ls5t_ard_3-0-0_097077_2008-02-02_final
2008-08-22 10:20:00	ga_ls5t_ard_3-0-0_103068_2008-08-22_final
2008-11-23 09:47:41	ga_ls5t_ard_3-0-0_098070_2008-11-23_final
2009-04-24 10:44:56	ga_ls5t_ard_3-0-0_106080_2009-04-24_final
2009-05-01 10:49:14	ga_ls5t_ard_3-0-0_107075_2009-05-01_final
2009-06-11 10:41:01	ga_ls5t_ard_3-0-0_106068_2009-06-11_final
2009-10-15 10:58:02	ga_ls5t_ard_3-0-0_108075_2009-10-15_final
2009-11-16 10:57:54	ga_ls5t_ard_3-0-0_108074_2009-11-16_final
2009-12-14 11:22:52	ga_ls5t_ard_3-0-0_112074_2009-12-14_final
2010-02-20 10:58:28	ga_ls5t_ard_3-0-0_108074_2010-02-20_final
2011-01-31 10:51:43	ga_ls5t_ard_3-0-0_107075_2011-01-31_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