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

52 results

Time (local)	Label
1987-05-20 09:43:14	ga_ls5t_ard_3-0-0_100077_1987-05-20_final
1987-10-13 09:37:10	ga_ls5t_ard_3-0-0_098084_1987-10-13_final
1988-08-02 09:00:35	ga_ls5t_ard_3-0-0_092077_1988-08-01_final
1988-09-17 09:08:58	ga_ls5t_ard_3-0-0_094067_1988-09-16_final
1989-05-26 10:32:32	ga_ls5t_ard_3-0-0_107081_1989-05-26_final
1990-06-03 08:58:24	ga_ls5t_ard_3-0-0_094067_1990-06-02_final
1990-12-12 08:57:33	ga_ls5t_ard_3-0-0_094067_1990-12-11_final
1991-03-10 09:54:32	ga_ls5t_ard_3-0-0_102081_1991-03-10_final
1993-03-07 09:00:21	ga_ls5t_ard_3-0-0_094067_1993-03-06_final
1993-03-10 11:14:09	ga_ls5t_ard_3-0-0_115077_1993-03-10_final
1994-08-01 08:55:54	ga_ls5t_ard_3-0-0_094067_1994-07-31_final
1994-09-30 09:23:53	ga_ls5t_ard_3-0-0_098079_1994-09-29_final
1994-11-05 08:53:10	ga_ls5t_ard_3-0-0_094067_1994-11-04_final
1996-11-03 10:33:57	ga_ls5t_ard_3-0-0_109074_1996-11-03_final
1997-06-06 09:14:56	ga_ls5t_ard_3-0-0_094086_1997-06-05_final
1997-11-22 10:47:54	ga_ls5t_ard_3-0-0_109074_1997-11-22_final
1997-12-19 10:28:50	ga_ls5t_ard_3-0-0_106071_1997-12-19_final
1998-04-01 10:40:57	ga_ls5t_ard_3-0-0_107081_1998-04-01_final
1998-07-27 09:16:33	ga_ls5t_ard_3-0-0_094067_1998-07-26_final
1998-10-08 10:52:34	ga_ls5t_ard_3-0-0_109074_1998-10-08_final
1998-12-13 10:43:06	ga_ls5t_ard_3-0-0_107081_1998-12-13_final
1999-01-28 10:52:46	ga_ls5t_ard_3-0-0_109074_1999-01-28_final
1999-03-01 10:52:56	ga_ls5t_ard_3-0-0_109074_1999-03-01_final
1999-03-08 09:17:21	ga_ls5t_ard_3-0-0_094067_1999-03-07_final
1999-11-14 10:39:54	ga_ls5t_ard_3-0-0_107081_1999-11-14_final
2004-01-11 09:58:04	ga_ls5t_ard_3-0-0_100077_2004-01-11_final
2004-01-27 09:58:32	ga_ls5t_ard_3-0-0_100078_2004-01-27_final
2004-01-29 09:46:11	ga_ls5t_ard_3-0-0_098078_2004-01-29_final
2004-02-02 09:17:05	ga_ls5t_ard_3-0-0_094067_2004-02-01_final
2004-03-09 10:34:38	ga_ls5t_ard_3-0-0_106075_2004-03-09_final
2004-06-18 10:55:14	ga_ls5t_ard_3-0-0_109074_2004-06-18_final
2004-09-17 10:39:28	ga_ls5t_ard_3-0-0_106075_2004-09-17_final
2005-01-15 09:55:50	ga_ls5t_ard_3-0-0_098084_2005-01-15_final
2005-04-29 10:42:46	ga_ls5t_ard_3-0-0_106075_2005-04-29_final
2005-05-15 10:42:52	ga_ls5t_ard_3-0-0_106075_2005-05-15_final
2005-08-03 10:43:31	ga_ls5t_ard_3-0-0_106075_2005-08-03_final
2005-08-26 10:52:15	ga_ls5t_ard_3-0-0_107081_2005-08-26_final
2005-10-12 10:07:20	ga_ls5t_ard_3-0-0_100077_2005-10-12_final
2005-11-12 09:27:32	ga_ls5t_ard_3-0-0_093085_2005-11-11_final
2006-06-27 10:00:06	ga_ls5t_ard_3-0-0_098078_2006-06-27_final
2006-12-10 11:02:11	ga_ls5t_ard_3-0-0_108074_2006-12-10_final
2007-06-29 10:55:32	ga_ls5t_ard_3-0-0_107075_2007-06-29_final
2007-10-02 10:12:14	ga_ls5t_ard_3-0-0_100077_2007-10-02_final
2008-04-04 10:03:07	ga_ls5t_ard_3-0-0_099078_2008-04-04_final
2008-04-11 10:08:44	ga_ls5t_ard_3-0-0_100077_2008-04-11_final
2008-11-27 09:21:53	ga_ls5t_ard_3-0-0_094067_2008-11-26_final
2009-02-15 09:24:06	ga_ls5t_ard_3-0-0_094067_2009-02-14_final
2009-08-20 10:08:41	ga_ls5t_ard_3-0-0_100077_2009-08-20_final
2009-11-14 09:28:35	ga_ls5t_ard_3-0-0_094067_2009-11-13_final
2010-04-09 09:19:58	ga_ls5t_ard_3-0-0_092075_2010-04-08_final
2011-09-12 09:11:26	ga_ls5t_ard_3-1-0_091075_2011-09-11_final
2011-09-28 10:50:02	ga_ls5t_ard_3-0-0_107075_2011-09-28_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