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

45 results

Time (local)	Label
1987-09-28 10:18:08	ga_ls5t_ard_3-0-0_105079_1987-09-28_final
1988-03-17 09:58:24	ga_ls5t_ard_3-0-0_102069_1988-03-17_final
1989-04-30 09:55:52	ga_ls5t_ard_3-0-0_101081_1989-04-30_final
1989-08-25 10:11:44	ga_ls5t_ard_3-0-0_104080_1989-08-25_final
1990-05-13 08:47:56	ga_ls5t_ard_3-0-0_091087_1990-05-12_final
1990-05-20 10:26:12	ga_ls5t_ard_3-0-0_108070_1990-05-20_final
1990-05-26 09:48:14	ga_ls5t_ard_3-0-0_102068_1990-05-26_final
1990-07-16 08:47:22	ga_ls5t_ard_3-0-0_091086_1990-07-15_final
1990-10-03 09:41:17	ga_ls5t_ard_3-0-0_100083_1990-10-03_final
1990-12-06 09:36:32	ga_ls5t_ard_3-1-0_100072_1990-12-06_final
1991-05-06 09:46:58	ga_ls5t_ard_3-0-0_101075_1991-05-06_final
1991-09-05 08:51:04	ga_ls5t_ard_3-0-0_091086_1991-09-04_final
1992-06-09 09:48:56	ga_ls5t_ard_3-0-0_101077_1992-06-09_final
1994-09-15 08:28:41	ga_ls5t_ard_3-0-0_089079_1994-09-14_final
1994-12-17 09:33:18	ga_ls5t_ard_3-0-0_100078_1994-12-17_final
1994-12-18 08:41:14	ga_ls5t_ard_3-0-0_091087_1994-12-17_final
1995-05-29 08:23:06	ga_ls5t_ard_3-0-0_089089_1995-05-28_final
1995-10-04 08:14:18	ga_ls5t_ard_3-0-0_089082_1995-10-03_final
1995-10-25 10:07:46	ga_ls5t_ard_3-0-0_108075_1995-10-25_final
1996-08-08 10:21:35	ga_ls5t_ard_3-0-0_108070_1996-08-08_final
1996-09-08 09:40:25	ga_ls5t_ard_3-0-0_101071_1996-09-08_final
1996-10-08 09:53:11	ga_ls5t_ard_3-0-0_103068_1996-10-08_final
1996-11-07 10:12:36	ga_ls5t_ard_3-0-0_105082_1996-11-07_final
1996-11-19 10:34:41	ga_ls5t_ard_3-0-0_109074_1996-11-19_final
1997-03-16 10:55:41	ga_ls5t_ard_3-1-0_112067_1997-03-16_final
1999-05-21 09:57:14	ga_ls5t_ard_3-0-0_100076_1999-05-21_final
1999-05-30 09:51:15	ga_ls5t_ard_3-0-0_099077_1999-05-30_final
1999-08-25 09:54:19	ga_ls5t_ard_3-0-0_100071_1999-08-25_final
2003-09-08 10:26:47	ga_ls5t_ard_3-0-0_105075_2003-09-08_final
2003-09-11 10:57:44	ga_ls5t_ard_3-0-0_110075_2003-09-11_final
2003-11-02 10:30:48	ga_ls5t_ard_3-0-0_106068_2003-11-02_final
2004-02-06 10:33:15	ga_ls5t_ard_3-0-0_106072_2004-02-06_final
2004-05-26 10:48:47	ga_ls5t_ard_3-0-0_108075_2004-05-26_final
2005-08-02 11:40:20	ga_ls5t_ard_3-0-0_115078_2005-08-02_final
2005-09-05 11:27:46	ga_ls5t_ard_3-0-0_113077_2005-09-05_final
2005-09-08 10:18:59	ga_ls5t_ard_3-0-0_102075_2005-09-08_final
2006-05-02 10:48:19	ga_ls5t_ard_3-0-0_106077_2006-05-02_final
2006-06-22 11:21:34	ga_ls5t_ard_3-0-0_111081_2006-06-22_final
2006-11-09 11:45:35	ga_ls5t_ard_3-0-0_115075_2006-11-09_final
2007-02-15 11:30:38	ga_ls5t_ard_3-0-0_113067_2007-02-15_final
2007-05-26 11:11:18	ga_ls5t_ard_3-0-0_109082_2007-05-26_final
2007-08-07 09:28:07	ga_ls5t_ard_3-0-0_092089_2007-08-06_final
2009-01-24 10:02:36	ga_ls5t_ard_3-0-0_100072_2009-01-24_final
2009-11-17 09:59:54	ga_ls5t_ard_3-0-0_099068_2009-11-17_final
2011-10-04 10:12:49	ga_ls5t_ard_3-0-0_101075_2011-10-04_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