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

55 results

Time (local)	Label
1987-07-15 10:33:30	ga_ls5t_ard_3-0-0_108076_1987-07-15_final
1987-12-01 10:17:44	ga_ls5t_ard_3-0-0_105075_1987-12-01_final
1988-04-07 08:42:12	ga_ls5t_ard_3-0-0_089079_1988-04-06_final
1988-12-28 10:14:20	ga_ls5t_ard_3-0-0_104077_1988-12-28_final
1989-11-08 09:50:25	ga_ls5t_ard_3-0-0_101078_1989-11-08_final
1989-11-12 09:25:30	ga_ls5t_ard_3-0-0_097078_1989-11-11_final
1990-06-10 10:49:28	ga_ls5t_ard_3-0-0_111082_1990-06-10_final
1991-05-11 10:04:47	ga_ls5t_ard_3-1-0_104073_1991-05-11_final
1992-02-24 10:49:52	ga_ls5t_ard_3-1-0_111073_1992-02-24_final
1992-05-10 09:39:39	ga_ls5t_ard_3-0-0_099084_1992-05-10_final
1992-06-27 09:32:22	ga_ls5t_ard_3-0-0_099067_1992-06-27_final
1992-08-04 09:01:35	ga_ls5t_ard_3-0-0_093084_1992-08-03_final
1993-01-29 10:26:21	ga_ls5t_ard_3-0-0_107082_1993-01-29_final
1993-06-15 10:20:06	ga_ls5t_ard_3-0-0_106080_1993-06-15_final
1993-06-27 09:08:39	ga_ls5t_ard_3-0-0_094087_1993-06-26_final
1993-12-13 08:53:52	ga_ls5t_ard_3-0-0_093067_1993-12-12_final
1994-05-10 10:07:01	ga_ls5t_ard_3-0-0_105070_1994-05-10_final
1994-05-14 09:45:26	ga_ls5t_ard_3-0-0_101078_1994-05-14_final
1994-05-25 09:23:54	ga_ls5t_ard_3-0-0_098071_1994-05-24_final
1994-06-08 09:38:47	ga_ls5t_ard_3-0-0_100078_1994-06-08_final
1994-11-10 10:53:13	ga_ls5t_ard_3-0-0_113074_1994-11-10_final
1994-12-27 10:06:51	ga_ls5t_ard_3-0-0_106070_1994-12-27_final
1995-04-01 09:22:16	ga_ls5t_ard_3-0-0_099076_1995-03-31_final
1996-06-22 11:05:35	ga_ls5t_ard_3-0-0_115078_1996-06-22_final
1997-02-23 10:39:54	ga_ls5t_ard_3-0-0_109076_1997-02-23_final
1997-07-05 10:21:07	ga_ls5t_ard_3-0-0_105079_1997-07-05_final
1997-09-12 10:40:15	ga_ls5t_ard_3-0-0_108075_1997-09-12_final
1997-11-15 09:07:28	ga_ls5t_ard_3-0-0_092086_1997-11-14_final
1997-12-06 11:00:38	ga_ls5t_ard_3-0-0_111074_1997-12-06_final
1998-09-25 09:48:57	ga_ls5t_ard_3-0-0_098085_1998-09-25_final
1998-10-15 11:02:42	ga_ls5t_ard_3-0-0_110084_1998-10-15_final
2003-09-02 09:27:40	ga_ls5t_ard_3-0-0_095082_2003-09-01_final
2003-09-18 09:29:32	ga_ls5t_ard_3-0-0_095086_2003-09-17_final
2003-10-26 10:27:26	ga_ls5t_ard_3-0-0_105075_2003-10-26_final
2003-10-28 10:13:53	ga_ls5t_ard_3-0-0_103072_2003-10-28_final
2004-02-20 09:09:13	ga_ls5t_ard_3-0-0_092078_2004-02-19_final
2004-06-15 10:27:27	ga_ls5t_ard_3-0-0_104082_2004-06-15_final
2004-10-29 09:41:45	ga_ls5t_ard_3-0-0_096083_2004-10-29_final
2004-12-23 09:49:22	ga_ls5t_ard_3-0-0_097084_2004-12-23_final
2005-02-19 09:30:04	ga_ls5t_ard_3-1-0_094080_2005-02-19_final
2005-07-05 11:13:43	ga_ls5t_ard_3-0-0_111074_2005-07-05_final
2006-07-22 09:50:41	ga_ls5t_ard_3-0-0_097069_2006-07-22_final
2006-08-31 10:43:25	ga_ls5t_ard_3-0-0_105076_2006-08-31_final
2006-09-16 09:07:32	ga_ls5t_ard_3-0-0_089083_2006-09-15_final
2007-07-07 10:06:50	ga_ls5t_ard_3-0-0_099077_2007-07-07_final
2008-04-09 10:19:32	ga_ls5t_ard_3-0-0_102073_2008-04-09_final
2008-08-08 10:09:14	ga_ls5t_ard_3-0-0_101071_2008-08-08_final
2009-04-03 10:26:23	ga_ls5t_ard_3-0-0_103081_2009-04-03_final
2009-04-25 11:23:02	ga_ls5t_ard_3-0-0_113067_2009-04-25_final
2010-04-27 10:46:01	ga_ls5t_ard_3-0-0_106074_2010-04-27_final
2010-10-11 09:17:16	ga_ls5t_ard_3-0-0_091086_2010-10-10_final
2010-10-19 10:05:26	ga_ls5t_ard_3-0-0_099083_2010-10-19_final
2010-12-26 11:15:58	ga_ls5t_ard_3-0-0_111074_2010-12-26_final
2011-02-08 10:03:05	ga_ls5t_ard_3-0-0_099077_2011-02-08_final
2011-10-04 10:12:25	ga_ls5t_ard_3-0-0_101074_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years