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

46 results

Time (local)	Label
1987-05-21 10:26:08	ga_ls5t_ard_3-0-0_107076_1987-05-21_final
1988-01-10 11:07:25	ga_ls5t_ard_3-0-0_113074_1988-01-10_final
1988-04-15 11:05:45	ga_ls5t_ard_3-0-0_113067_1988-04-15_final
1988-11-08 10:23:23	ga_ls5t_ard_3-0-0_106068_1988-11-08_final
1990-06-10 10:48:16	ga_ls5t_ard_3-0-0_111079_1990-06-10_final
1990-08-13 09:10:23	ga_ls5t_ard_3-0-0_095082_1990-08-12_final
1990-10-15 10:00:01	ga_ls5t_ard_3-0-0_104068_1990-10-15_final
1992-02-01 10:41:26	ga_ls5t_ard_3-0-0_110067_1992-02-01_final
1992-03-24 08:41:37	ga_ls5t_ard_3-0-0_090077_1992-03-23_final
1992-06-15 09:07:46	ga_ls5t_ard_3-0-0_095067_1992-06-14_final
1992-10-24 09:40:20	ga_ls5t_ard_3-0-0_100076_1992-10-24_final
1993-03-09 08:55:59	ga_ls5t_ard_3-0-0_092087_1993-03-08_final
1993-03-25 08:56:23	ga_ls5t_ard_3-0-0_092088_1993-03-24_final
1993-04-22 10:51:52	ga_ls5t_ard_3-0-0_112067_1993-04-22_final
1993-04-29 09:22:00	ga_ls5t_ard_3-0-0_097074_1993-04-28_final
1994-07-28 11:03:12	ga_ls5t_ard_3-0-0_114076_1994-07-28_final
1994-08-11 09:36:43	ga_ls5t_ard_3-0-0_100077_1994-08-11_final
1995-07-03 10:26:05	ga_ls5t_ard_3-0-0_110076_1995-07-03_final
1996-09-09 10:24:56	ga_ls5t_ard_3-0-0_108074_1996-09-09_final
1996-09-26 11:10:43	ga_ls5t_ard_3-0-0_115078_1996-09-26_final
1997-05-15 09:50:02	ga_ls5t_ard_3-0-0_100083_1997-05-15_final
1997-05-30 10:43:01	ga_ls5t_ard_3-0-0_109075_1997-05-30_final
1998-03-08 09:49:11	ga_ls5t_ard_3-0-0_099076_1998-03-08_final
1998-05-04 09:46:35	ga_ls5t_ard_3-0-0_098083_1998-05-04_final
1998-07-13 10:44:34	ga_ls5t_ard_3-0-0_108071_1998-07-13_final
1998-10-06 11:04:31	ga_ls5t_ard_3-0-0_111073_1998-10-06_final
1999-02-24 10:32:02	ga_ls5t_ard_3-0-0_106068_1999-02-24_final
1999-04-12 09:52:38	ga_ls5t_ard_3-0-0_099079_1999-04-12_final
2004-03-26 11:14:45	ga_ls5t_ard_3-0-0_113067_2004-03-26_final
2004-07-31 10:38:14	ga_ls5t_ard_3-0-0_106075_2004-07-31_final
2004-12-19 10:11:14	ga_ls5t_ard_3-0-0_101077_2004-12-19_final
2005-01-17 11:15:36	ga_ls5t_ard_3-1-0_112067_2005-01-17_final
2005-07-17 11:40:10	ga_ls5t_ard_3-0-0_115078_2005-07-17_final
2005-11-13 10:08:26	ga_ls5t_ard_3-0-0_100079_2005-11-13_final
2006-02-19 09:57:33	ga_ls5t_ard_3-0-0_098077_2006-02-19_final
2006-03-14 10:04:37	ga_ls5t_ard_3-0-0_099078_2006-03-14_final
2006-07-17 11:13:21	ga_ls5t_ard_3-0-0_110075_2006-07-17_final
2006-09-06 10:07:13	ga_ls5t_ard_3-0-0_099078_2006-09-06_final
2006-10-24 10:09:20	ga_ls5t_ard_3-0-0_099082_2006-10-24_final
2007-02-15 09:58:32	ga_ls5t_ard_3-0-0_097084_2007-02-15_final
2007-04-01 11:00:49	ga_ls5t_ard_3-0-0_108070_2007-04-01_final
2007-09-12 10:39:08	ga_ls5t_ard_3-0-0_104082_2007-09-12_final
2008-02-21 10:19:21	ga_ls5t_ard_3-0-0_102070_2008-02-21_final
2009-02-17 09:16:58	ga_ls5t_ard_3-0-0_092080_2009-02-16_final
2010-04-19 10:00:36	ga_ls5t_ard_3-0-0_098084_2010-04-19_final
2011-07-24 11:03:10	ga_ls5t_ard_3-0-0_109075_2011-07-24_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