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

49 results

Time (local)	Label
1988-06-13 09:08:47	ga_ls5t_ard_3-0-0_094067_1988-06-12_final
1989-01-11 08:47:43	ga_ls5t_ard_3-0-0_090077_1989-01-10_final
1989-02-26 10:37:23	ga_ls5t_ard_3-0-0_108074_1989-02-26_final
1989-05-12 10:15:12	ga_ls5t_ard_3-0-0_105068_1989-05-12_final
1989-12-27 10:30:16	ga_ls5t_ard_3-0-0_108073_1989-12-27_final
1992-02-13 09:27:28	ga_ls5t_ard_3-0-0_098068_1992-02-12_final
1993-03-26 09:35:16	ga_ls5t_ard_3-0-0_099077_1993-03-26_final
1993-11-14 09:29:17	ga_ls5t_ard_3-0-0_098078_1993-11-13_final
1994-11-26 10:52:40	ga_ls5t_ard_3-0-0_113074_1994-11-26_final
1995-02-27 08:36:45	ga_ls5t_ard_3-0-0_092067_1995-02-26_final
1995-05-02 10:15:46	ga_ls5t_ard_3-0-0_108074_1995-05-02_final
1995-06-21 08:25:01	ga_ls5t_ard_3-0-0_090081_1995-06-20_final
1996-01-18 08:53:52	ga_ls5t_ard_3-0-0_095082_1996-01-17_final
1996-04-12 09:16:50	ga_ls5t_ard_3-0-0_098079_1996-04-11_final
1996-11-19 10:34:41	ga_ls5t_ard_3-0-0_109074_1996-11-19_final
1997-01-09 09:30:44	ga_ls5t_ard_3-0-0_098078_1997-01-09_final
1997-02-18 10:20:45	ga_ls5t_ard_3-0-0_106075_1997-02-18_final
1997-03-29 08:53:58	ga_ls5t_ard_3-0-0_091086_1997-03-28_final
1997-06-21 10:07:52	ga_ls5t_ard_3-0-0_103078_1997-06-21_final
1997-08-09 10:54:47	ga_ls5t_ard_3-0-0_110083_1997-08-09_final
1998-11-26 09:58:19	ga_ls5t_ard_3-0-0_100077_1998-11-26_final
1999-03-15 11:05:54	ga_ls5t_ard_3-0-0_111076_1999-03-15_final
1999-06-10 11:10:14	ga_ls5t_ard_3-0-0_112074_1999-06-10_final
1999-06-19 11:07:37	ga_ls5t_ard_3-0-0_111083_1999-06-19_final
1999-09-25 10:50:14	ga_ls5t_ard_3-0-0_109074_1999-09-25_final
2004-02-09 11:08:58	ga_ls5t_ard_3-0-0_111084_2004-02-09_final
2004-07-06 09:08:32	ga_ls5t_ard_3-0-0_091084_2004-07-05_final
2004-08-06 10:02:04	ga_ls5t_ard_3-0-0_100077_2004-08-06_final
2004-11-23 09:31:36	ga_ls5t_ard_3-0-0_095072_2004-11-23_final
2005-06-25 09:04:06	ga_ls5t_ard_3-0-0_089090_2005-06-24_final
2005-11-05 10:55:40	ga_ls5t_ard_3-0-0_108074_2005-11-05_final
2006-06-01 10:59:54	ga_ls5t_ard_3-0-0_108074_2006-06-01_final
2006-06-06 09:36:51	ga_ls5t_ard_3-0-0_095067_2006-06-06_final
2006-06-06 11:18:32	ga_ls5t_ard_3-0-0_111074_2006-06-06_final
2006-07-01 09:31:03	ga_ls5t_ard_3-0-0_094067_2006-07-01_final
2006-11-17 10:56:12	ga_ls5t_ard_3-0-0_107075_2006-11-17_final
2006-12-15 09:41:28	ga_ls5t_ard_3-0-0_095073_2006-12-15_final
2007-08-07 11:01:00	ga_ls5t_ard_3-0-0_108074_2007-08-07_final
2007-08-16 10:55:08	ga_ls5t_ard_3-0-0_107075_2007-08-16_final
2008-03-18 09:19:01	ga_ls5t_ard_3-0-0_092075_2008-03-17_final
2009-01-22 10:15:18	ga_ls5t_ard_3-0-0_102073_2009-01-22_final
2009-09-25 09:47:15	ga_ls5t_ard_3-0-0_096084_2009-09-25_final
2009-10-08 10:51:47	ga_ls5t_ard_3-0-0_107075_2009-10-08_final
2010-01-27 10:12:32	ga_ls5t_ard_3-0-0_100083_2010-01-27_final
2010-01-28 10:52:36	ga_ls5t_ard_3-0-0_107075_2010-01-28_final
2010-02-01 10:30:18	ga_ls5t_ard_3-0-0_103081_2010-02-01_final
2010-04-27 09:08:19	ga_ls5t_ard_3-0-0_090077_2010-04-26_final
2011-06-15 10:56:53	ga_ls5t_ard_3-0-0_108074_2011-06-15_final
2011-10-19 09:26:14	ga_ls5t_ard_3-0-0_094067_2011-10-18_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