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
1987-09-02 09:39:15	ga_ls5t_ard_3-0-0_099076_1987-09-02_final
1988-08-04 08:48:13	ga_ls5t_ard_3-0-0_090077_1988-08-03_final
1988-08-26 09:50:05	ga_ls5t_ard_3-0-0_100077_1988-08-26_final
1988-08-29 10:20:36	ga_ls5t_ard_3-0-0_105076_1988-08-29_final
1988-10-13 09:49:51	ga_ls5t_ard_3-0-0_100077_1988-10-13_final
1990-06-22 09:33:41	ga_ls5t_ard_3-0-0_099078_1990-06-22_final
1990-12-25 08:31:45	ga_ls5t_ard_3-0-0_089079_1990-12-24_final
1991-12-06 09:08:53	ga_ls5t_ard_3-0-0_095067_1991-12-05_final
1991-12-10 08:50:57	ga_ls5t_ard_3-0-0_091084_1991-12-09_final
1992-06-10 08:56:06	ga_ls5t_ard_3-0-0_092084_1992-06-09_final
1993-01-09 10:51:39	ga_ls5t_ard_3-0-0_111084_1993-01-09_final
1993-10-21 08:42:26	ga_ls5t_ard_3-0-0_090084_1993-10-20_final
1995-02-11 10:19:04	ga_ls5t_ard_3-0-0_108074_1995-02-11_final
1995-05-13 08:19:50	ga_ls5t_ard_3-0-0_089079_1995-05-12_final
1995-06-19 10:13:34	ga_ls5t_ard_3-0-0_108074_1995-06-19_final
1995-08-29 10:16:55	ga_ls5t_ard_3-0-0_109075_1995-08-29_final
1996-09-01 09:36:14	ga_ls5t_ard_3-0-0_100077_1996-09-01_final
1997-05-24 09:41:47	ga_ls5t_ard_3-0-0_099077_1997-05-24_final
1997-12-13 11:10:59	ga_ls5t_ard_3-0-0_112084_1997-12-13_final
1998-03-09 08:54:23	ga_ls5t_ard_3-0-0_090078_1998-03-08_final
1998-04-15 10:51:30	ga_ls5t_ard_3-0-0_109076_1998-04-15_final
1998-05-03 10:39:48	ga_ls5t_ard_3-0-0_107077_1998-05-03_final
1998-07-26 10:17:46	ga_ls5t_ard_3-0-0_103081_1998-07-26_final
2003-09-16 09:35:05	ga_ls5t_ard_3-1-0_097069_2003-09-16_final
2003-11-06 10:11:18	ga_ls5t_ard_3-0-0_102081_2003-11-06_final
2003-11-23 10:53:46	ga_ls5t_ard_3-0-0_109078_2003-11-23_final
2003-12-04 10:34:30	ga_ls5t_ard_3-0-0_106076_2003-12-04_final
2004-02-13 10:39:04	ga_ls5t_ard_3-0-0_107071_2004-02-13_final
2004-03-05 10:58:55	ga_ls5t_ard_3-1-0_110074_2004-03-05_final
2004-03-18 08:50:49	ga_ls5t_ard_3-0-0_089078_2004-03-17_final
2004-05-18 09:57:32	ga_ls5t_ard_3-0-0_100071_2004-05-18_final
2006-02-06 10:29:46	ga_ls5t_ard_3-0-0_103081_2006-02-06_final
2006-02-16 11:04:40	ga_ls5t_ard_3-0-0_109075_2006-02-16_final
2006-04-07 10:53:18	ga_ls5t_ard_3-0-0_107075_2006-04-07_final
2006-06-21 10:38:41	ga_ls5t_ard_3-0-0_104082_2006-06-21_final
2007-03-27 10:43:54	ga_ls5t_ard_3-0-0_105074_2007-03-27_final
2007-04-17 11:02:20	ga_ls5t_ard_3-0-0_108074_2007-04-17_final
2008-03-11 10:51:52	ga_ls5t_ard_3-0-0_107075_2008-03-11_final
2008-11-13 10:50:45	ga_ls5t_ard_3-0-0_108074_2008-11-13_final
2008-12-26 09:00:39	ga_ls5t_ard_3-0-0_089089_2008-12-25_final
2009-04-15 10:48:57	ga_ls5t_ard_3-0-0_107075_2009-04-15_final
2009-10-15 10:57:38	ga_ls5t_ard_3-0-0_108074_2009-10-15_final
2009-11-24 10:09:43	ga_ls5t_ard_3-0-0_100077_2009-11-24_final
2010-02-13 10:52:40	ga_ls5t_ard_3-0-0_107075_2010-02-13_final
2010-05-04 10:52:34	ga_ls5t_ard_3-0-0_107075_2010-05-04_final
2011-05-23 10:51:18	ga_ls5t_ard_3-0-0_107075_2011-05-23_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