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

52 results

Time (local)	Label
1987-07-17 08:42:41	ga_ls5t_ard_3-0-0_090077_1987-07-16_final
1987-09-18 09:40:50	ga_ls5t_ard_3-0-0_099079_1987-09-18_final
1988-01-28 10:58:59	ga_ls5t_ard_3-0-0_111083_1988-01-28_final
1988-03-27 10:41:09	ga_ls5t_ard_3-0-0_108083_1988-03-27_final
1988-03-28 09:43:09	ga_ls5t_ard_3-0-0_099077_1988-03-28_final
1989-01-04 10:19:43	ga_ls5t_ard_3-0-0_105075_1989-01-04_final
1989-01-31 10:03:17	ga_ls5t_ard_3-0-0_102081_1989-01-31_final
1989-03-24 09:36:38	ga_ls5t_ard_3-0-0_098079_1989-03-24_final
1989-05-18 09:39:10	ga_ls5t_ard_3-0-0_099071_1989-05-18_final
1989-08-22 09:40:05	ga_ls5t_ard_3-0-0_099078_1989-08-22_final
1990-07-07 08:53:35	ga_ls5t_ard_3-0-0_092086_1990-07-06_final
1990-07-24 09:31:11	ga_ls5t_ard_3-0-0_099072_1990-07-24_final
1990-12-15 09:28:55	ga_ls5t_ard_3-0-0_099068_1990-12-14_final
1992-02-24 10:50:16	ga_ls5t_ard_3-0-0_111074_1992-02-24_final
1992-06-28 08:42:19	ga_ls5t_ard_3-0-0_090081_1992-06-27_final
1992-10-25 10:25:58	ga_ls5t_ard_3-0-0_107082_1992-10-25_final
1993-01-21 11:14:07	ga_ls5t_ard_3-0-0_115078_1993-01-21_final
1993-07-12 10:01:50	ga_ls5t_ard_3-0-0_103081_1993-07-12_final
1993-11-11 10:38:54	ga_ls5t_ard_3-0-0_109082_1993-11-11_final
1994-04-18 10:45:42	ga_ls5t_ard_3-0-0_111073_1994-04-18_final
1994-05-17 08:37:00	ga_ls5t_ard_3-0-0_090077_1994-05-16_final
1995-02-09 10:31:31	ga_ls5t_ard_3-0-0_110074_1995-02-09_final
1995-03-04 10:36:22	ga_ls5t_ard_3-0-0_111073_1995-03-04_final
1995-05-13 08:19:50	ga_ls5t_ard_3-0-0_089079_1995-05-12_final
1996-09-26 11:10:19	ga_ls5t_ard_3-0-0_115077_1996-09-26_final
1996-12-02 10:05:13	ga_ls5t_ard_3-0-0_104076_1996-12-02_final
1996-12-31 11:14:11	ga_ls5t_ard_3-0-0_115075_1996-12-31_final
1997-01-16 09:37:38	ga_ls5t_ard_3-0-0_099079_1997-01-16_final
1998-06-02 10:51:50	ga_ls5t_ard_3-0-0_109075_1998-06-02_final
1998-10-06 11:04:31	ga_ls5t_ard_3-0-0_111073_1998-10-06_final
1998-12-29 10:40:28	ga_ls5t_ard_3-0-0_107074_1998-12-29_final
1999-04-14 11:17:10	ga_ls5t_ard_3-0-0_113074_1999-04-14_final
2003-07-06 10:26:04	ga_ls5t_ard_3-0-0_105076_2003-07-06_final
2003-10-14 10:05:21	ga_ls5t_ard_3-0-0_101082_2003-10-14_final
2004-02-21 09:52:05	ga_ls5t_ard_3-0-0_099077_2004-02-21_final
2004-02-22 10:32:33	ga_ls5t_ard_3-0-0_106070_2004-02-22_final
2004-04-30 10:08:09	ga_ls5t_ard_3-1-0_102068_2004-04-30_final
2004-06-18 10:55:14	ga_ls5t_ard_3-0-0_109074_2004-06-18_final
2004-12-02 11:05:20	ga_ls5t_ard_3-0-0_110074_2004-12-02_final
2004-12-14 09:49:49	ga_ls5t_ard_3-0-0_098070_2004-12-14_final
2005-03-31 11:12:45	ga_ls5t_ard_3-0-0_111073_2005-03-31_final
2005-05-27 11:07:18	ga_ls5t_ard_3-0-0_110074_2005-05-27_final
2005-08-02 10:01:03	ga_ls5t_ard_3-0-0_099077_2005-08-02_final
2005-08-18 10:01:10	ga_ls5t_ard_3-0-0_099077_2005-08-18_final
2007-07-24 09:11:05	ga_ls5t_ard_3-0-0_090077_2007-07-23_final
2008-02-08 10:50:29	ga_ls5t_ard_3-0-0_107070_2008-02-08_final
2008-02-16 10:04:05	ga_ls5t_ard_3-0-0_099078_2008-02-16_final
2008-04-04 10:03:07	ga_ls5t_ard_3-0-0_099078_2008-04-04_final
2008-12-05 10:17:11	ga_ls5t_ard_3-0-0_102081_2008-12-05_final
2009-01-30 09:23:41	ga_ls5t_ard_3-0-0_094067_2009-01-29_final
2009-03-06 09:59:51	ga_ls5t_ard_3-0-0_099078_2009-03-06_final
2009-05-03 10:37:19	ga_ls5t_ard_3-0-0_105076_2009-05-03_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