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
1987-12-27 10:54:25	ga_ls5t_ard_3-0-0_111073_1987-12-27_final
1988-09-06 11:11:38	ga_ls5t_ard_3-0-0_113080_1988-09-06_final
1989-05-04 09:28:20	ga_ls5t_ard_3-0-0_097074_1989-05-03_final
1989-10-10 10:19:25	ga_ls5t_ard_3-0-0_106071_1989-10-10_final
1990-03-18 11:12:52	ga_ls5t_ard_3-0-0_115078_1990-03-18_final
1990-08-04 10:56:16	ga_ls5t_ard_3-0-0_112084_1990-08-04_final
1991-01-11 10:52:22	ga_ls5t_ard_3-0-0_112074_1991-01-11_final
1991-02-27 10:07:39	ga_ls5t_ard_3-0-0_105068_1991-02-27_final
1991-03-15 08:35:52	ga_ls5t_ard_3-0-0_089085_1991-03-14_final
1991-11-23 09:43:31	ga_ls5t_ard_3-0-0_100077_1991-11-23_final
1992-06-01 10:37:40	ga_ls5t_ard_3-0-0_109075_1992-06-01_final
1993-03-21 09:12:45	ga_ls5t_ard_3-0-0_096067_1993-03-20_final
1993-10-22 09:20:54	ga_ls5t_ard_3-0-0_097072_1993-10-21_final
1994-04-20 10:33:43	ga_ls5t_ard_3-0-0_109074_1994-04-20_final
1994-06-12 10:51:16	ga_ls5t_ard_3-0-0_112074_1994-06-12_final
1994-08-21 08:38:17	ga_ls5t_ard_3-0-0_090086_1994-08-20_final
1994-08-31 10:52:48	ga_ls5t_ard_3-0-0_112083_1994-08-31_final
1994-10-14 09:35:00	ga_ls5t_ard_3-0-0_100077_1994-10-14_final
1995-04-13 09:46:05	ga_ls5t_ard_3-0-0_103075_1995-04-13_final
1995-04-28 09:06:35	ga_ls5t_ard_3-0-0_096086_1995-04-27_final
1995-05-23 08:51:41	ga_ls5t_ard_3-0-0_095067_1995-05-22_final
1995-06-12 08:33:59	ga_ls5t_ard_3-0-0_091087_1995-06-11_final
1995-06-27 09:24:57	ga_ls5t_ard_3-1-0_100077_1995-06-26_final
1995-12-18 09:34:30	ga_ls5t_ard_3-0-0_102081_1995-12-18_final
1996-01-14 09:16:43	ga_ls5t_ard_3-0-0_099078_1996-01-13_final
1996-05-20 08:45:12	ga_ls5t_ard_3-0-0_092087_1996-05-19_final
1996-07-24 09:28:22	ga_ls5t_ard_3-0-0_099078_1996-07-23_final
1999-01-31 09:43:36	ga_ls5t_ard_3-0-0_098071_1999-01-31_final
1999-04-20 10:40:30	ga_ls5t_ard_3-0-0_107075_1999-04-20_final
1999-07-05 09:22:12	ga_ls5t_ard_3-0-0_095067_1999-07-04_final
2003-07-16 09:20:49	ga_ls5t_ard_3-0-0_095067_2003-07-15_final
2003-08-25 10:12:59	ga_ls5t_ard_3-0-0_103072_2003-08-25_final
2003-09-18 11:07:13	ga_ls5t_ard_3-0-0_111083_2003-09-18_final
2004-02-22 10:34:33	ga_ls5t_ard_3-0-0_106075_2004-02-22_final
2004-02-25 09:23:23	ga_ls5t_ard_3-0-0_095067_2004-02-24_final
2004-07-26 10:22:00	ga_ls5t_ard_3-0-0_103081_2004-07-26_final
2004-08-05 10:56:52	ga_ls5t_ard_3-0-0_109075_2004-08-05_final
2005-01-27 10:19:31	ga_ls5t_ard_3-0-0_102081_2005-01-27_final
2005-04-13 09:09:47	ga_ls5t_ard_3-0-0_090090_2005-04-12_final
2005-07-14 11:07:14	ga_ls5t_ard_3-0-0_110073_2005-07-14_final
2005-10-13 10:49:48	ga_ls5t_ard_3-0-0_107075_2005-10-13_final
2006-01-20 09:40:30	ga_ls5t_ard_3-0-0_096067_2006-01-20_final
2006-04-18 10:32:09	ga_ls5t_ard_3-0-0_104068_2006-04-18_final
2007-02-05 10:56:20	ga_ls5t_ard_3-0-0_107074_2007-02-05_final
2007-03-21 09:39:19	ga_ls5t_ard_3-0-0_095067_2007-03-21_final
2007-07-21 10:21:05	ga_ls5t_ard_3-0-0_101082_2007-07-21_final
2007-08-28 09:37:38	ga_ls5t_ard_3-0-0_095067_2007-08-28_final
2008-08-19 09:49:35	ga_ls5t_ard_3-0-0_098069_2008-08-19_final
2009-01-02 09:05:48	ga_ls5t_ard_3-0-0_090086_2009-01-01_final
2009-06-14 09:32:42	ga_ls5t_ard_3-0-0_095067_2009-06-14_final
2010-05-27 09:19:23	ga_ls5t_ard_3-1-0_092074_2010-05-26_final
2011-10-31 09:57:35	ga_ls5t_ard_3-0-0_098084_2011-10-31_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