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

59 results

Time (local)	Label
1988-03-24 10:09:26	ga_ls5t_ard_3-0-0_103081_1988-03-24_final
1988-10-18 10:06:48	ga_ls5t_ard_3-0-0_103073_1988-10-18_final
1989-02-26 10:37:23	ga_ls5t_ard_3-0-0_108074_1989-02-26_final
1989-04-13 10:47:26	ga_ls5t_ard_3-0-0_110070_1989-04-13_final
1989-05-03 08:46:40	ga_ls5t_ard_3-0-0_090078_1989-05-02_final
1989-05-14 10:07:59	ga_ls5t_ard_3-0-0_103081_1989-05-14_final
1989-06-04 10:26:37	ga_ls5t_ard_3-0-0_106082_1989-06-04_final
1990-12-20 09:53:11	ga_ls5t_ard_3-0-0_102082_1990-12-20_final
1991-04-27 09:55:20	ga_ls5t_ard_3-0-0_102081_1991-04-27_final
1991-07-01 10:36:52	ga_ls5t_ard_3-0-0_109074_1991-07-01_final
1992-02-08 10:49:52	ga_ls5t_ard_3-1-0_111073_1992-02-08_final
1992-05-02 08:51:05	ga_ls5t_ard_3-0-0_091086_1992-05-01_final
1992-07-20 09:42:14	ga_ls5t_ard_3-0-0_100077_1992-07-20_final
1992-10-25 10:25:58	ga_ls5t_ard_3-0-0_107082_1992-10-25_final
1994-03-22 09:30:14	ga_ls5t_ard_3-0-0_098084_1994-03-22_final
1994-06-23 10:32:28	ga_ls5t_ard_3-0-0_109074_1994-06-23_final
1994-09-03 09:43:57	ga_ls5t_ard_3-0-0_101081_1994-09-03_final
1994-10-15 10:17:02	ga_ls5t_ard_3-0-0_107074_1994-10-15_final
1995-02-03 09:31:09	ga_ls5t_ard_3-0-0_100077_1995-02-03_final
1995-02-18 10:27:45	ga_ls5t_ard_3-0-0_109081_1995-02-18_final
1995-04-17 09:22:00	ga_ls5t_ard_3-0-0_099077_1995-04-16_final
1995-05-04 08:27:14	ga_ls5t_ard_3-1-0_090081_1995-05-03_final
1995-08-31 10:04:27	ga_ls5t_ard_3-0-0_107075_1995-08-31_final
1995-11-11 09:12:34	ga_ls5t_ard_3-0-0_099077_1995-11-10_final
1996-11-04 09:39:34	ga_ls5t_ard_3-0-0_100077_1996-11-04_final
1997-09-21 10:34:20	ga_ls5t_ard_3-0-0_107075_1997-09-21_final
1998-02-27 09:55:38	ga_ls5t_ard_3-0-0_100077_1998-02-27_final
1998-06-02 10:51:27	ga_ls5t_ard_3-0-0_109074_1998-06-02_final
1998-08-16 08:59:34	ga_ls5t_ard_3-0-0_090086_1998-08-15_final
1998-11-26 09:58:19	ga_ls5t_ard_3-0-0_100077_1998-11-26_final
1998-12-05 09:52:05	ga_ls5t_ard_3-0-0_099077_1998-12-05_final
1998-12-18 10:58:54	ga_ls5t_ard_3-0-0_110074_1998-12-18_final
1999-02-18 09:36:38	ga_ls5t_ard_3-1-0_096084_1999-02-18_final
1999-03-27 09:52:19	ga_ls5t_ard_3-0-0_099078_1999-03-27_final
1999-04-30 11:14:21	ga_ls5t_ard_3-0-0_113067_1999-04-30_final
1999-07-25 10:39:29	ga_ls5t_ard_3-0-0_107075_1999-07-25_final
1999-11-14 10:37:31	ga_ls5t_ard_3-0-0_107075_1999-11-14_final
2003-11-26 09:43:01	ga_ls5t_ard_3-0-0_098071_2003-11-26_final
2003-12-16 10:55:42	ga_ls5t_ard_3-0-0_110067_2003-12-16_final
2004-04-15 10:53:48	ga_ls5t_ard_3-0-0_109075_2004-04-15_final
2004-07-14 09:55:24	ga_ls5t_ard_3-0-0_099077_2004-07-14_final
2004-11-20 10:40:42	ga_ls5t_ard_3-0-0_106075_2004-11-20_final
2005-02-20 09:24:52	ga_ls5t_ard_3-0-0_094067_2005-02-19_final
2005-09-20 10:44:07	ga_ls5t_ard_3-0-0_106076_2005-09-20_final
2006-02-16 11:04:40	ga_ls5t_ard_3-0-0_109075_2006-02-16_final
2006-02-17 10:09:52	ga_ls5t_ard_3-0-0_100077_2006-02-17_final
2006-03-02 09:37:39	ga_ls5t_ard_3-0-0_095073_2006-03-02_final
2006-06-26 10:54:31	ga_ls5t_ard_3-0-0_107075_2006-06-26_final
2006-06-28 10:42:11	ga_ls5t_ard_3-0-0_105075_2006-06-28_final
2006-07-20 10:06:36	ga_ls5t_ard_3-0-0_099078_2006-07-20_final
2006-08-26 10:26:49	ga_ls5t_ard_3-0-0_102081_2006-08-26_final
2006-12-21 10:44:31	ga_ls5t_ard_3-0-0_105076_2006-12-21_final
2007-02-05 10:56:44	ga_ls5t_ard_3-0-0_107075_2007-02-05_final
2007-02-27 10:18:03	ga_ls5t_ard_3-0-0_101071_2007-02-27_final
2007-05-29 09:58:05	ga_ls5t_ard_3-0-0_098069_2007-05-29_final
2008-09-11 09:58:42	ga_ls5t_ard_3-0-0_099078_2008-09-11_final
2008-12-28 10:24:02	ga_ls5t_ard_3-0-0_103081_2008-12-28_final
2009-01-24 10:04:36	ga_ls5t_ard_3-0-0_100077_2009-01-24_final
2011-03-11 09:20:34	ga_ls5t_ard_3-0-0_092079_2011-03-10_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