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

66 results

Time (local)	Label
1988-02-12 10:11:36	ga_ls5t_ard_3-1-0_104072_1988-02-12_final
1988-07-25 09:49:37	ga_ls5t_ard_3-0-0_100076_1988-07-25_final
1988-10-28 10:44:41	ga_ls5t_ard_3-0-0_109075_1988-10-28_final
1988-12-10 10:23:13	ga_ls5t_ard_3-0-0_106068_1988-12-10_final
1989-04-02 11:11:05	ga_ls5t_ard_3-0-0_113083_1989-04-02_final
1989-05-22 10:54:06	ga_ls5t_ard_3-0-0_111073_1989-05-22_final
1989-06-02 10:39:01	ga_ls5t_ard_3-0-0_108082_1989-06-02_final
1989-09-01 08:38:05	ga_ls5t_ard_3-0-0_089078_1989-08-31_final
1990-04-04 10:12:48	ga_ls5t_ard_3-0-0_106068_1990-04-04_final
1990-09-19 11:01:37	ga_ls5t_ard_3-0-0_114067_1990-09-19_final
1991-03-16 09:11:57	ga_ls5t_ard_3-0-0_096067_1991-03-15_final
1991-04-03 10:45:33	ga_ls5t_ard_3-0-0_110084_1991-04-03_final
1991-06-04 10:59:01	ga_ls5t_ard_3-0-0_112084_1991-06-04_final
1991-09-21 08:51:13	ga_ls5t_ard_3-0-0_091086_1991-09-20_final
1992-01-30 09:14:55	ga_ls5t_ard_3-0-0_096067_1992-01-29_final
1992-02-08 10:53:04	ga_ls5t_ard_3-0-0_111081_1992-02-08_final
1992-03-18 09:14:47	ga_ls5t_ard_3-0-0_096067_1992-03-17_final
1993-09-22 09:06:43	ga_ls5t_ard_3-0-0_095067_1993-09-21_final
1994-04-09 09:10:46	ga_ls5t_ard_3-0-0_096067_1994-04-08_final
1995-04-05 10:35:04	ga_ls5t_ard_3-0-0_111073_1995-04-05_final
1995-08-06 10:13:48	ga_ls5t_ard_3-0-0_108080_1995-08-06_final
1995-09-23 10:09:06	ga_ls5t_ard_3-0-0_108074_1995-09-23_final
1995-10-17 09:20:22	ga_ls5t_ard_3-0-0_100079_1995-10-16_final
1996-02-10 08:55:40	ga_ls5t_ard_3-0-0_096067_1996-02-09_final
1996-04-06 09:49:10	ga_ls5t_ard_3-0-0_104068_1996-04-06_final
1996-04-18 10:17:01	ga_ls5t_ard_3-0-0_108074_1996-04-18_final
1996-06-22 11:05:10	ga_ls5t_ard_3-0-0_115077_1996-06-22_final
1996-10-08 09:58:22	ga_ls5t_ard_3-0-0_103081_1996-10-08_final
1996-12-20 09:55:41	ga_ls5t_ard_3-0-0_102081_1996-12-20_final
1997-05-03 09:18:32	ga_ls5t_ard_3-0-0_096067_1997-05-02_final
1997-07-28 08:51:35	ga_ls5t_ard_3-0-0_090085_1997-07-27_final
1997-09-24 11:02:08	ga_ls5t_ard_3-1-0_112067_1997-09-24_final
1997-10-10 09:23:41	ga_ls5t_ard_3-0-0_096067_1997-10-09_final
1997-10-26 09:24:08	ga_ls5t_ard_3-0-0_096067_1997-10-25_final
1997-11-11 11:09:48	ga_ls5t_ard_3-0-0_112083_1997-11-11_final
1998-02-20 09:49:20	ga_ls5t_ard_3-0-0_099077_1998-02-20_final
1998-04-24 10:44:39	ga_ls5t_ard_3-0-0_108074_1998-04-24_final
1998-05-31 09:22:06	ga_ls5t_ard_3-0-0_095067_1998-05-30_final
1998-07-25 09:28:54	ga_ls5t_ard_3-0-0_096067_1998-07-24_final
1998-07-26 10:17:46	ga_ls5t_ard_3-0-0_103081_1998-07-26_final
1998-08-30 09:12:30	ga_ls5t_ard_3-0-0_092087_1998-08-29_final
1998-10-06 09:23:15	ga_ls5t_ard_3-0-0_095067_1998-10-05_final
1999-03-09 10:03:47	ga_ls5t_ard_3-0-0_101075_1999-03-09_final
1999-04-13 08:56:13	ga_ls5t_ard_3-0-0_090077_1999-04-12_final
1999-07-28 09:28:18	ga_ls5t_ard_3-0-0_096067_1999-07-27_final
1999-09-14 09:27:21	ga_ls5t_ard_3-0-0_096067_1999-09-13_final
1999-10-29 08:59:12	ga_ls5t_ard_3-1-0_091075_1999-10-28_final
2003-07-06 10:28:51	ga_ls5t_ard_3-1-0_105083_2003-07-06_final
2003-12-10 09:57:48	ga_ls5t_ard_3-0-0_100077_2003-12-10_final
2004-06-07 09:31:47	ga_ls5t_ard_3-0-0_096067_2004-06-07_final
2004-06-07 09:38:35	ga_ls5t_ard_3-1-0_096084_2004-06-07_final
2005-02-25 09:44:41	ga_ls5t_ard_3-0-0_097070_2005-02-25_final
2005-04-27 10:54:43	ga_ls5t_ard_3-0-0_108074_2005-04-27_final
2005-09-30 09:38:41	ga_ls5t_ard_3-0-0_096067_2005-09-30_final
2006-05-06 10:20:04	ga_ls5t_ard_3-0-0_102068_2006-05-06_final
2006-05-12 09:42:39	ga_ls5t_ard_3-0-0_096067_2006-05-12_final
2006-10-22 10:19:41	ga_ls5t_ard_3-0-0_101077_2006-10-22_final
2007-01-16 11:20:59	ga_ls5t_ard_3-0-0_111074_2007-01-16_final
2007-05-31 09:44:54	ga_ls5t_ard_3-0-0_096067_2007-05-31_final
2007-06-16 09:44:37	ga_ls5t_ard_3-0-0_096067_2007-06-16_final
2008-03-14 09:40:38	ga_ls5t_ard_3-0-0_096067_2008-03-14_final
2009-08-27 10:17:22	ga_ls5t_ard_3-0-0_101083_2009-08-27_final
2010-02-02 09:29:06	ga_ls5t_ard_3-1-0_094067_2010-02-01_final
2010-02-06 10:48:04	ga_ls5t_ard_3-0-0_106079_2010-02-06_final
2010-05-17 10:19:38	ga_ls5t_ard_3-0-0_102070_2010-05-17_final
2011-06-12 10:26:49	ga_ls5t_ard_3-0-0_103076_2011-06-12_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