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

47 results

Time (local)	Label
1987-09-06 09:11:02	ga_ls5t_ard_3-1-0_095067_1987-09-05_final
1987-12-17 10:17:58	ga_ls5t_ard_3-0-0_105075_1987-12-17_final
1988-02-16 09:48:56	ga_ls5t_ard_3-0-0_100077_1988-02-16_final
1988-04-29 11:21:23	ga_ls5t_ard_3-0-0_115075_1988-04-29_final
1988-06-02 11:12:33	ga_ls5t_ard_3-0-0_113083_1988-06-02_final
1989-03-09 10:19:20	ga_ls5t_ard_3-0-0_105076_1989-03-09_final
1990-05-27 08:57:01	ga_ls5t_ard_3-0-0_093079_1990-05-26_final
1990-10-12 09:35:07	ga_ls5t_ard_3-1-0_099083_1990-10-12_final
1991-01-07 09:39:18	ga_ls5t_ard_3-0-0_100077_1991-01-07_final
1991-03-18 10:38:33	ga_ls5t_ard_3-0-0_110067_1991-03-18_final
1992-02-23 10:05:01	ga_ls5t_ard_3-0-0_104069_1992-02-23_final
1992-08-06 08:50:23	ga_ls5t_ard_3-0-0_091087_1992-08-05_final
1992-10-03 09:23:15	ga_ls5t_ard_3-0-0_097079_1992-10-02_final
1993-04-10 10:31:48	ga_ls5t_ard_3-0-0_108079_1993-04-10_final
1993-05-05 09:30:11	ga_ls5t_ard_3-1-0_098079_1993-05-05_final
1993-08-20 10:03:13	ga_ls5t_ard_3-0-0_104069_1993-08-20_final
1993-12-15 08:47:28	ga_ls5t_ard_3-0-0_091082_1993-12-14_final
1993-12-17 10:08:47	ga_ls5t_ard_3-0-0_105069_1993-12-17_final
1994-05-13 10:38:39	ga_ls5t_ard_3-0-0_110072_1994-05-13_final
1994-07-03 09:31:35	ga_ls5t_ard_3-0-0_099077_1994-07-03_final
1995-10-02 10:02:51	ga_ls5t_ard_3-0-0_107075_1995-10-02_final
1995-10-09 08:34:10	ga_ls5t_ard_3-0-0_092086_1995-10-08_final
1996-11-07 10:12:36	ga_ls5t_ard_3-0-0_105082_1996-11-07_final
1998-03-18 08:49:57	ga_ls5t_ard_3-0-0_089082_1998-03-17_final
1999-03-12 10:36:38	ga_ls5t_ard_3-0-0_106080_1999-03-12_final
1999-04-20 09:06:24	ga_ls5t_ard_3-0-0_091087_1999-04-19_final
1999-05-20 10:52:05	ga_ls5t_ard_3-0-0_109074_1999-05-20_final
1999-10-15 10:23:38	ga_ls5t_ard_3-0-0_105069_1999-10-15_final
2003-09-29 09:03:56	ga_ls5t_ard_3-0-0_092068_2003-09-28_final
2003-12-27 09:06:47	ga_ls5t_ard_3-0-0_091088_2003-12-26_final
2005-03-17 11:00:42	ga_ls5t_ard_3-0-0_109074_2005-03-17_final
2005-04-27 10:54:43	ga_ls5t_ard_3-0-0_108074_2005-04-27_final
2005-09-23 11:13:48	ga_ls5t_ard_3-0-0_111073_2005-09-23_final
2005-11-11 10:21:32	ga_ls5t_ard_3-0-0_102081_2005-11-11_final
2006-05-25 10:54:00	ga_ls5t_ard_3-0-0_107075_2006-05-25_final
2006-07-11 10:12:16	ga_ls5t_ard_3-0-0_100077_2006-07-11_final
2007-05-21 09:17:08	ga_ls5t_ard_3-0-0_090090_2007-05-20_final
2008-03-10 10:09:26	ga_ls5t_ard_3-0-0_100077_2008-03-10_final
2009-01-09 10:46:40	ga_ls5t_ard_3-0-0_107075_2009-01-09_final
2009-01-18 10:38:20	ga_ls5t_ard_3-0-0_106069_2009-01-18_final
2009-02-26 10:47:54	ga_ls5t_ard_3-0-0_107075_2009-02-26_final
2009-03-30 10:48:38	ga_ls5t_ard_3-0-0_107075_2009-03-30_final
2009-04-22 10:58:03	ga_ls5t_ard_3-0-0_108082_2009-04-22_final
2009-05-03 08:58:50	ga_ls5t_ard_3-1-0_089077_2009-05-02_final
2009-05-08 10:55:10	ga_ls5t_ard_3-0-0_108074_2009-05-08_final
2009-10-24 10:51:57	ga_ls5t_ard_3-0-0_107075_2009-10-24_final
2011-08-10 10:08:11	ga_ls5t_ard_3-0-0_100077_2011-08-10_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