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
1987-12-02 11:00:37	ga_ls5t_ard_3-0-0_112074_1987-12-02_final
1988-01-02 08:40:57	ga_ls5t_ard_3-0-0_089079_1988-01-01_final
1988-02-28 10:10:12	ga_ls5t_ard_3-0-0_104068_1988-02-28_final
1988-06-03 10:12:56	ga_ls5t_ard_3-1-0_104073_1988-06-03_final
1989-09-02 10:58:37	ga_ls5t_ard_3-0-0_112074_1989-09-02_final
1989-11-09 10:30:50	ga_ls5t_ard_3-0-0_108071_1989-11-09_final
1989-11-21 10:56:12	ga_ls5t_ard_3-0-0_112074_1989-11-21_final
1990-10-06 08:33:16	ga_ls5t_ard_3-0-0_089083_1990-10-05_final
1991-03-03 09:45:23	ga_ls5t_ard_3-0-0_101074_1991-03-03_final
1991-12-27 09:31:40	ga_ls5t_ard_3-0-0_098078_1991-12-27_final
1992-04-18 10:15:20	ga_ls5t_ard_3-0-0_105080_1992-04-18_final
1993-01-09 10:47:15	ga_ls5t_ard_3-0-0_111073_1993-01-09_final
1993-03-28 09:20:08	ga_ls5t_ard_3-0-0_097070_1993-03-27_final
1993-04-09 09:45:45	ga_ls5t_ard_3-0-0_101072_1993-04-09_final
1993-07-13 10:45:30	ga_ls5t_ard_3-0-0_110082_1993-07-13_final
1994-04-25 10:52:10	ga_ls5t_ard_3-0-0_112074_1994-04-25_final
1994-06-07 10:31:38	ga_ls5t_ard_3-0-0_109071_1994-06-07_final
1994-09-17 09:55:56	ga_ls5t_ard_3-0-0_103081_1994-09-17_final
1994-10-15 08:42:57	ga_ls5t_ard_3-0-0_091086_1994-10-14_final
1994-11-09 10:12:22	ga_ls5t_ard_3-0-0_106080_1994-11-09_final
1994-12-31 09:44:48	ga_ls5t_ard_3-0-0_102077_1994-12-31_final
1995-03-11 09:04:35	ga_ls5t_ard_3-0-0_096076_1995-03-10_final
1995-07-23 10:00:04	ga_ls5t_ard_3-0-0_106075_1995-07-23_final
1995-09-18 09:49:37	ga_ls5t_ard_3-0-0_105071_1995-09-18_final
1996-05-30 09:18:51	ga_ls5t_ard_3-0-0_098077_1996-05-29_final
1997-04-10 10:52:25	ga_ls5t_ard_3-0-0_111072_1997-04-10_final
1997-09-19 10:46:13	ga_ls5t_ard_3-0-0_109074_1997-09-19_final
1997-12-11 09:44:24	ga_ls5t_ard_3-0-0_098084_1997-12-11_final
1998-08-25 10:27:59	ga_ls5t_ard_3-0-0_105075_1998-08-25_final
1999-04-04 10:43:40	ga_ls5t_ard_3-0-0_107083_1999-04-04_final
1999-06-05 09:12:53	ga_ls5t_ard_3-0-0_093074_1999-06-04_final
1999-09-13 10:23:24	ga_ls5t_ard_3-0-0_105068_1999-09-13_final
2003-10-07 09:54:41	ga_ls5t_ard_3-0-0_100071_2003-10-07_final
2004-06-28 11:34:14	ga_ls5t_ard_3-0-0_115078_2004-06-28_final
2005-04-10 10:14:58	ga_ls5t_ard_3-0-0_101083_2005-04-10_final
2005-09-15 10:23:59	ga_ls5t_ard_3-0-0_103072_2005-09-15_final
2006-09-22 11:46:18	ga_ls5t_ard_3-0-0_115078_2006-09-22_final
2007-05-04 10:04:34	ga_ls5t_ard_3-0-0_099069_2007-05-04_final
2007-07-07 10:07:15	ga_ls5t_ard_3-0-0_099078_2007-07-07_final
2008-09-25 10:07:50	ga_ls5t_ard_3-0-0_101071_2008-09-25_final
2008-11-24 10:30:11	ga_ls5t_ard_3-0-0_105068_2008-11-24_final
2009-02-12 09:01:54	ga_ls5t_ard_3-1-0_089089_2009-02-11_final
2009-05-09 09:59:10	ga_ls5t_ard_3-0-0_099073_2009-05-09_final
2009-10-27 11:22:29	ga_ls5t_ard_3-0-0_112074_2009-10-27_final
2010-01-29 09:57:23	ga_ls5t_ard_3-0-0_098076_2010-01-29_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