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

51 results

Time (local)	Label
1988-11-25 09:28:10	ga_ls5t_ard_3-0-0_097069_1988-11-24_final
1989-02-08 09:08:14	ga_ls5t_ard_3-0-0_094067_1989-02-07_final
1989-06-18 10:38:10	ga_ls5t_ard_3-0-0_108081_1989-06-18_final
1989-06-29 08:40:37	ga_ls5t_ard_3-0-0_089081_1989-06-28_final
1989-09-27 09:10:08	ga_ls5t_ard_3-0-0_095067_1989-09-26_final
1989-10-06 09:03:50	ga_ls5t_ard_3-0-0_094067_1989-10-05_final
1990-03-12 10:07:16	ga_ls5t_ard_3-0-0_105068_1990-03-12_final
1990-04-03 09:30:45	ga_ls5t_ard_3-0-0_099071_1990-04-03_final
1990-05-15 08:33:59	ga_ls5t_ard_3-0-0_089083_1990-05-14_final
1991-05-10 09:19:55	ga_ls5t_ard_3-0-0_097069_1991-05-09_final
1991-05-10 09:26:18	ga_ls5t_ard_3-0-0_097085_1991-05-09_final
1992-08-11 09:00:52	ga_ls5t_ard_3-0-0_094067_1992-08-10_final
1992-11-28 08:35:59	ga_ls5t_ard_3-0-0_089086_1992-11-27_final
1993-01-12 09:40:30	ga_ls5t_ard_3-0-0_100076_1993-01-12_final
1993-02-17 09:19:20	ga_ls5t_ard_3-0-0_096084_1993-02-16_final
1993-03-29 08:28:55	ga_ls5t_ard_3-0-0_088081_1993-03-28_final
1993-04-28 10:15:13	ga_ls5t_ard_3-0-0_106068_1993-04-28_final
1993-11-18 09:02:31	ga_ls5t_ard_3-0-0_094073_1993-11-17_final
1993-11-21 09:31:50	ga_ls5t_ard_3-0-0_099069_1993-11-21_final
1994-02-24 08:53:57	ga_ls5t_ard_3-0-0_092085_1994-02-23_final
1994-09-29 08:41:51	ga_ls5t_ard_3-0-0_091082_1994-09-28_final
1994-12-23 08:51:38	ga_ls5t_ard_3-0-0_094067_1994-12-22_final
1995-01-04 09:16:44	ga_ls5t_ard_3-0-0_098069_1995-01-03_final
1995-02-25 08:49:12	ga_ls5t_ard_3-0-0_094067_1995-02-24_final
1995-07-19 08:42:53	ga_ls5t_ard_3-0-0_094067_1995-07-18_final
1996-03-19 10:01:11	ga_ls5t_ard_3-0-0_106070_1996-03-19_final
1996-07-14 08:46:22	ga_ls5t_ard_3-0-0_093067_1996-07-13_final
1996-10-06 08:30:33	ga_ls5t_ard_3-0-0_089078_1996-10-05_final
1996-12-12 09:00:17	ga_ls5t_ard_3-0-0_094067_1996-12-11_final
1998-02-05 10:28:43	ga_ls5t_ard_3-0-0_106068_1998-02-05_final
1998-04-01 10:41:21	ga_ls5t_ard_3-0-0_107082_1998-04-01_final
1998-05-25 10:02:40	ga_ls5t_ard_3-0-0_101076_1998-05-25_final
1998-08-03 09:22:46	ga_ls5t_ard_3-0-0_095067_1998-08-02_final
1998-08-12 10:57:57	ga_ls5t_ard_3-0-0_110073_1998-08-12_final
1998-08-17 09:42:26	ga_ls5t_ard_3-0-0_097085_1998-08-17_final
1998-09-16 09:49:06	ga_ls5t_ard_3-0-0_099070_1998-09-16_final
1999-04-15 10:21:57	ga_ls5t_ard_3-0-0_104075_1999-04-15_final
1999-08-04 11:18:33	ga_ls5t_ard_3-0-0_113080_1999-08-04_final
1999-11-19 09:13:48	ga_ls5t_ard_3-0-0_094067_1999-11-18_final
2004-05-08 09:18:33	ga_ls5t_ard_3-0-0_094067_2004-05-07_final
2005-03-31 11:10:21	ga_ls5t_ard_3-0-0_111067_2005-03-31_final
2006-08-31 09:05:20	ga_ls5t_ard_3-0-0_089078_2006-08-30_final
2006-12-08 09:32:51	ga_ls5t_ard_3-0-0_094067_2006-12-08_final
2006-12-11 10:03:46	ga_ls5t_ard_3-0-0_099067_2006-12-11_final
2007-01-25 09:33:10	ga_ls5t_ard_3-0-0_094067_2007-01-25_final
2007-04-07 10:28:06	ga_ls5t_ard_3-0-0_102081_2007-04-07_final
2008-11-11 09:21:23	ga_ls5t_ard_3-0-0_094067_2008-11-10_final
2008-12-13 09:22:23	ga_ls5t_ard_3-0-0_094067_2008-12-12_final
2009-11-19 09:48:21	ga_ls5t_ard_3-0-0_097070_2009-11-19_final
2011-01-29 11:06:52	ga_ls5t_ard_3-0-0_109082_2011-01-29_final
2011-03-18 09:27:54	ga_ls5t_ard_3-0-0_093082_2011-03-17_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