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

50 results

Time (local)	Label
1987-09-28 08:39:39	ga_ls5t_ard_3-0-0_089080_1987-09-27_final
1987-11-10 10:01:37	ga_ls5t_ard_3-0-0_102082_1987-11-10_final
1987-12-24 10:22:40	ga_ls5t_ard_3-0-0_106071_1987-12-24_final
1988-04-13 11:22:30	ga_ls5t_ard_3-0-0_115078_1988-04-13_final
1988-08-07 10:56:24	ga_ls5t_ard_3-0-0_111073_1988-08-07_final
1988-08-13 10:19:43	ga_ls5t_ard_3-0-0_105074_1988-08-13_final
1988-09-11 09:50:52	ga_ls5t_ard_3-0-0_100079_1988-09-11_final
1988-10-16 08:42:17	ga_ls5t_ard_3-0-0_089078_1988-10-15_final
1988-12-02 09:40:18	ga_ls5t_ard_3-0-0_098084_1988-12-02_final
1988-12-17 08:55:13	ga_ls5t_ard_3-1-0_091080_1988-12-16_final
1990-02-15 08:39:48	ga_ls5t_ard_3-0-0_090079_1990-02-14_final
1990-04-10 09:37:03	ga_ls5t_ard_3-0-0_100071_1990-04-10_final
1990-06-17 09:18:20	ga_ls5t_ard_3-0-0_096086_1990-06-16_final
1990-07-06 09:46:00	ga_ls5t_ard_3-0-0_101078_1990-07-06_final
1990-07-09 08:42:49	ga_ls5t_ard_3-1-0_090090_1990-07-08_final
1990-10-12 09:29:56	ga_ls5t_ard_3-1-0_099070_1990-10-11_final
1991-02-11 10:10:06	ga_ls5t_ard_3-0-0_105075_1991-02-11_final
1992-01-11 10:25:36	ga_ls5t_ard_3-0-0_107074_1992-01-11_final
1992-01-17 09:49:43	ga_ls5t_ard_3-0-0_101077_1992-01-17_final
1992-05-08 09:46:49	ga_ls5t_ard_3-0-0_101071_1992-05-08_final
1992-07-26 10:42:46	ga_ls5t_ard_3-0-0_110074_1992-07-26_final
1992-07-29 09:32:45	ga_ls5t_ard_3-0-0_099069_1992-07-29_final
1993-04-28 10:17:37	ga_ls5t_ard_3-0-0_106074_1993-04-28_final
1993-08-24 09:44:04	ga_ls5t_ard_3-0-0_100083_1993-08-24_final
1993-09-29 09:19:16	ga_ls5t_ard_3-0-0_096083_1993-09-28_final
1993-11-13 10:23:20	ga_ls5t_ard_3-0-0_107074_1993-11-13_final
1994-04-25 09:18:04	ga_ls5t_ard_3-0-0_096086_1994-04-24_final
1994-08-09 09:46:44	ga_ls5t_ard_3-0-0_102071_1994-08-09_final
1994-10-28 09:48:52	ga_ls5t_ard_3-0-0_102082_1994-10-28_final
1996-03-15 10:30:50	ga_ls5t_ard_3-0-0_110083_1996-03-15_final
1996-07-27 09:58:38	ga_ls5t_ard_3-0-0_104076_1996-07-27_final
1997-03-09 10:52:49	ga_ls5t_ard_3-0-0_111076_1997-03-09_final
1997-09-13 09:46:39	ga_ls5t_ard_3-0-0_099080_1997-09-13_final
1997-12-13 11:10:59	ga_ls5t_ard_3-0-0_112084_1997-12-13_final
1998-02-22 09:40:12	ga_ls5t_ard_3-0-0_097085_1998-02-22_final
1998-05-29 11:17:18	ga_ls5t_ard_3-0-0_113077_1998-05-29_final
1998-09-29 10:57:32	ga_ls5t_ard_3-0-0_110071_1998-09-29_final
1998-11-04 10:36:05	ga_ls5t_ard_3-0-0_106079_1998-11-04_final
1998-11-16 10:58:56	ga_ls5t_ard_3-0-0_110074_1998-11-16_final
1999-04-24 10:12:58	ga_ls5t_ard_3-0-0_103068_1999-04-24_final
2004-10-10 09:11:39	ga_ls5t_ard_3-0-0_091086_2004-10-09_final
2005-02-05 10:13:52	ga_ls5t_ard_3-0-0_101082_2005-02-05_final
2007-01-21 11:41:33	ga_ls5t_ard_3-0-0_114079_2007-01-21_final
2008-05-08 11:24:22	ga_ls5t_ard_3-0-0_113067_2008-05-08_final
2009-05-23 10:13:22	ga_ls5t_ard_3-0-0_101077_2009-05-23_final
2009-05-29 11:14:05	ga_ls5t_ard_3-0-0_111074_2009-05-29_final
2009-10-22 11:03:53	ga_ls5t_ard_3-0-0_109074_2009-10-22_final
2010-07-25 10:38:40	ga_ls5t_ard_3-0-0_105072_2010-07-25_final
2010-11-30 10:37:37	ga_ls5t_ard_3-0-0_105071_2010-11-30_final
2011-04-22 09:59:01	ga_ls5t_ard_3-0-0_098083_2011-04-22_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