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
1986-08-17 10:02:01	ga_ls5t_ard_3-0-0_104068_1986-08-17_final
1987-09-01 08:55:57	ga_ls5t_ard_3-0-0_092076_1987-08-31_final
1987-11-18 09:06:21	ga_ls5t_ard_3-0-0_094067_1987-11-17_final
1987-12-02 09:20:08	ga_ls5t_ard_3-0-0_096070_1987-12-01_final
1988-05-20 10:01:17	ga_ls5t_ard_3-0-0_102075_1988-05-20_final
1988-08-11 08:56:22	ga_ls5t_ard_3-0-0_091082_1988-08-10_final
1988-12-15 10:44:28	ga_ls5t_ard_3-0-0_109075_1988-12-15_final
1989-04-21 10:01:45	ga_ls5t_ard_3-0-0_102080_1989-04-21_final
1990-07-09 08:41:13	ga_ls5t_ard_3-0-0_090086_1990-07-08_final
1991-04-14 10:26:28	ga_ls5t_ard_3-0-0_107082_1991-04-14_final
1991-08-02 09:03:54	ga_ls5t_ard_3-1-0_093088_1991-08-01_final
1991-09-13 09:37:46	ga_ls5t_ard_3-0-0_099079_1991-09-13_final
1991-10-17 09:23:43	ga_ls5t_ard_3-0-0_097074_1991-10-16_final
1992-01-20 10:17:27	ga_ls5t_ard_3-0-0_106069_1992-01-20_final
1992-03-31 10:25:26	ga_ls5t_ard_3-0-0_107074_1992-03-31_final
1992-05-12 10:59:22	ga_ls5t_ard_3-0-0_113067_1992-05-12_final
1992-06-06 09:19:16	ga_ls5t_ard_3-0-0_096080_1992-06-05_final
1992-08-14 11:14:59	ga_ls5t_ard_3-0-0_115078_1992-08-14_final
1992-08-15 08:43:39	ga_ls5t_ard_3-0-0_090086_1992-08-14_final
1992-09-09 08:34:19	ga_ls5t_ard_3-0-0_089079_1992-09-08_final
1993-04-11 11:13:29	ga_ls5t_ard_3-0-0_115075_1993-04-11_final
1993-05-24 09:19:54	ga_ls5t_ard_3-0-0_096084_1993-05-23_final
1993-07-18 09:21:33	ga_ls5t_ard_3-0-0_097073_1993-07-17_final
1994-03-16 10:06:37	ga_ls5t_ard_3-0-0_104082_1994-03-16_final
1994-09-30 11:00:46	ga_ls5t_ard_3-0-0_114074_1994-09-30_final
1994-12-16 08:48:52	ga_ls5t_ard_3-0-0_093075_1994-12-15_final
1995-12-15 10:43:04	ga_ls5t_ard_3-0-0_113083_1995-12-15_final
1996-03-06 10:30:03	ga_ls5t_ard_3-0-0_111067_1996-03-06_final
1996-06-06 09:25:50	ga_ls5t_ard_3-0-0_099078_1996-06-05_final
1996-07-06 09:36:59	ga_ls5t_ard_3-0-0_101071_1996-07-06_final
1997-02-01 09:38:21	ga_ls5t_ard_3-0-0_099079_1997-02-01_final
1997-03-10 09:56:50	ga_ls5t_ard_3-0-0_102075_1997-03-10_final
1997-04-30 08:53:55	ga_ls5t_ard_3-0-0_091083_1997-04-29_final
1997-09-12 10:41:51	ga_ls5t_ard_3-0-0_108079_1997-09-12_final
1997-10-07 10:33:11	ga_ls5t_ard_3-0-0_107071_1997-10-07_final
1998-07-04 10:52:39	ga_ls5t_ard_3-0-0_109076_1998-07-04_final
2003-09-01 10:23:16	ga_ls5t_ard_3-1-0_104082_2003-09-01_final
2004-09-20 11:09:38	ga_ls5t_ard_3-0-0_111073_2004-09-20_final
2004-12-22 10:43:22	ga_ls5t_ard_3-0-0_106080_2004-12-22_final
2005-04-20 10:47:18	ga_ls5t_ard_3-0-0_107071_2005-04-20_final
2005-06-19 11:13:40	ga_ls5t_ard_3-0-0_111074_2005-06-19_final
2005-10-04 09:17:32	ga_ls5t_ard_3-0-0_092076_2005-10-03_final
2006-06-26 10:52:55	ga_ls5t_ard_3-0-0_107071_2006-06-26_final
2006-09-18 10:31:41	ga_ls5t_ard_3-0-0_103077_2006-09-18_final
2006-11-24 09:28:45	ga_ls5t_ard_3-0-0_092088_2006-11-23_final
2007-01-05 11:36:39	ga_ls5t_ard_3-1-0_114067_2007-01-05_final
2008-10-08 11:20:11	ga_ls5t_ard_3-0-0_112083_2008-10-08_final
2008-12-17 09:06:34	ga_ls5t_ard_3-0-0_090089_2008-12-16_final
2011-10-04 10:13:13	ga_ls5t_ard_3-0-0_101076_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