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
1987-05-27 09:49:36	ga_ls5t_ard_3-0-0_101077_1987-05-27_final
1987-12-15 10:30:18	ga_ls5t_ard_3-0-0_107075_1987-12-15_final
1988-01-18 08:42:50	ga_ls5t_ard_3-0-0_089083_1988-01-17_final
1988-02-17 10:31:24	ga_ls5t_ard_3-0-0_107075_1988-02-17_final
1988-03-27 10:37:58	ga_ls5t_ard_3-0-0_108075_1988-03-27_final
1988-08-22 10:11:11	ga_ls5t_ard_3-0-0_104068_1988-08-22_final
1988-10-22 09:43:40	ga_ls5t_ard_3-0-0_099077_1988-10-22_final
1988-12-20 10:59:48	ga_ls5t_ard_3-1-0_112067_1988-12-20_final
1989-02-03 10:31:48	ga_ls5t_ard_3-0-0_107075_1989-02-03_final
1989-03-20 09:59:30	ga_ls5t_ard_3-0-0_102074_1989-03-20_final
1989-07-04 09:01:04	ga_ls5t_ard_3-0-0_092086_1989-07-03_final
1989-07-06 08:47:51	ga_ls5t_ard_3-0-0_090084_1989-07-05_final
1989-11-18 08:48:10	ga_ls5t_ard_3-0-0_091078_1989-11-17_final
1990-12-15 09:28:55	ga_ls5t_ard_3-0-0_099068_1990-12-14_final
1992-01-24 09:57:31	ga_ls5t_ard_3-0-0_102081_1992-01-24_final
1992-02-25 09:53:03	ga_ls5t_ard_3-0-0_102070_1992-02-25_final
1992-02-28 10:25:56	ga_ls5t_ard_3-0-0_107075_1992-02-28_final
1992-03-31 10:25:26	ga_ls5t_ard_3-0-0_107074_1992-03-31_final
1992-07-21 10:24:41	ga_ls5t_ard_3-0-0_107075_1992-07-21_final
1992-08-07 09:30:27	ga_ls5t_ard_3-0-0_098079_1992-08-07_final
1992-10-18 10:14:40	ga_ls5t_ard_3-0-0_106069_1992-10-18_final
1993-01-17 10:01:06	ga_ls5t_ard_3-0-0_103081_1993-01-17_final
1993-08-11 10:14:59	ga_ls5t_ard_3-1-0_105083_1993-08-11_final
1993-11-09 10:48:06	ga_ls5t_ard_3-0-0_111074_1993-11-09_final
1994-02-19 10:09:59	ga_ls5t_ard_3-0-0_105074_1994-02-19_final
1994-09-13 10:18:22	ga_ls5t_ard_3-0-0_107075_1994-09-13_final
1995-03-11 09:04:35	ga_ls5t_ard_3-0-0_096076_1995-03-10_final
1995-05-31 09:46:19	ga_ls5t_ard_3-0-0_103081_1995-05-31_final
1995-12-14 08:22:50	ga_ls5t_ard_3-0-0_090088_1995-12-13_final
1996-02-25 08:17:48	ga_ls5t_ard_3-0-0_089078_1996-02-24_final
1996-03-21 08:14:51	ga_ls5t_ard_3-0-0_088082_1996-03-20_final
1996-05-06 08:32:50	ga_ls5t_ard_3-0-0_090089_1996-05-05_final
1997-07-22 11:02:58	ga_ls5t_ard_3-0-0_112074_1997-07-22_final
1997-12-11 09:39:13	ga_ls5t_ard_3-0-0_098071_1997-12-11_final
1998-02-14 10:28:42	ga_ls5t_ard_3-1-0_105083_1998-02-14_final
1999-04-12 09:52:38	ga_ls5t_ard_3-0-0_099079_1999-04-12_final
1999-11-22 09:46:33	ga_ls5t_ard_3-0-0_099072_1999-11-22_final
2003-07-18 10:50:11	ga_ls5t_ard_3-0-0_109074_2003-07-18_final
2003-12-03 09:52:02	ga_ls5t_ard_3-0-0_099078_2003-12-03_final
2004-02-22 10:31:45	ga_ls5t_ard_3-0-0_106068_2004-02-22_final
2004-10-01 09:18:03	ga_ls5t_ard_3-0-0_092087_2004-09-30_final
2004-12-05 11:37:54	ga_ls5t_ard_3-0-0_115078_2004-12-05_final
2005-02-12 10:19:46	ga_ls5t_ard_3-0-0_102081_2005-02-12_final
2005-07-23 11:01:57	ga_ls5t_ard_3-0-0_109075_2005-07-23_final
2005-08-18 10:01:10	ga_ls5t_ard_3-0-0_099077_2005-08-18_final
2005-09-10 10:07:26	ga_ls5t_ard_3-0-0_100077_2005-09-10_final
2007-08-08 10:06:34	ga_ls5t_ard_3-0-0_099077_2007-08-08_final
2008-04-27 10:07:55	ga_ls5t_ard_3-0-0_100076_2008-04-27_final
2009-04-24 10:40:09	ga_ls5t_ard_3-0-0_106068_2009-04-24_final
2009-10-06 11:07:19	ga_ls5t_ard_3-0-0_109083_2009-10-06_final
2010-02-13 09:14:35	ga_ls5t_ard_3-0-0_091077_2010-02-12_final
2010-03-22 11:12:27	ga_ls5t_ard_3-0-0_110078_2010-03-22_final
2011-01-24 10:44:19	ga_ls5t_ard_3-0-0_106072_2011-01-24_final
2011-03-10 10:17:48	ga_ls5t_ard_3-1-0_101083_2011-03-10_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