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
1987-11-07 11:06:21	ga_ls5t_ard_3-0-0_113074_1987-11-07_final
1988-01-18 08:42:02	ga_ls5t_ard_3-0-0_089081_1988-01-17_final
1988-03-12 11:22:18	ga_ls5t_ard_3-0-0_115078_1988-03-12_final
1989-05-06 10:54:50	ga_ls5t_ard_3-0-0_111074_1989-05-06_final
1989-06-30 10:59:58	ga_ls5t_ard_3-0-0_112074_1989-06-30_final
1990-06-03 10:40:29	ga_ls5t_ard_3-0-0_110075_1990-06-03_final
1991-11-01 10:17:42	ga_ls5t_ard_3-0-0_106070_1991-11-01_final
1992-06-21 08:39:47	ga_ls5t_ard_3-1-0_089090_1992-06-20_final
1992-11-23 09:53:51	ga_ls5t_ard_3-0-0_102080_1992-11-23_final
1993-03-30 10:48:17	ga_ls5t_ard_3-0-0_111074_1993-03-30_final
1993-05-10 10:42:46	ga_ls5t_ard_3-0-0_110075_1993-05-10_final
1993-06-08 10:09:10	ga_ls5t_ard_3-0-0_105068_1993-06-08_final
1993-08-16 08:48:15	ga_ls5t_ard_3-0-0_092067_1993-08-15_final
1993-11-25 10:48:23	ga_ls5t_ard_3-0-0_111075_1993-11-25_final
1994-06-13 09:53:14	ga_ls5t_ard_3-0-0_103068_1994-06-13_final
1995-12-20 09:18:18	ga_ls5t_ard_3-0-0_100071_1995-12-19_final
1996-06-06 11:03:55	ga_ls5t_ard_3-0-0_115076_1996-06-06_final
1997-11-09 09:42:49	ga_ls5t_ard_3-0-0_098082_1997-11-09_final
1998-07-31 08:55:50	ga_ls5t_ard_3-0-0_090077_1998-07-30_final
1999-01-17 11:13:38	ga_ls5t_ard_3-0-0_112080_1999-01-17_final
1999-05-14 09:52:26	ga_ls5t_ard_3-0-0_099079_1999-05-14_final
2003-11-05 11:04:06	ga_ls5t_ard_3-0-0_111074_2003-11-05_final
2004-02-22 10:34:33	ga_ls5t_ard_3-0-0_106075_2004-02-22_final
2004-03-22 10:05:00	ga_ls5t_ard_3-0-0_101078_2004-03-22_final
2004-04-20 11:12:06	ga_ls5t_ard_3-1-0_112074_2004-04-20_final
2004-04-27 09:41:58	ga_ls5t_ard_3-0-0_097080_2004-04-27_final
2004-06-28 09:55:45	ga_ls5t_ard_3-0-0_099079_2004-06-28_final
2004-07-06 09:09:20	ga_ls5t_ard_3-0-0_091086_2004-07-05_final
2004-08-22 10:02:29	ga_ls5t_ard_3-0-0_100077_2004-08-22_final
2004-09-21 10:17:14	ga_ls5t_ard_3-1-0_102081_2004-09-21_final
2004-10-25 10:06:48	ga_ls5t_ard_3-0-0_100084_2004-10-25_final
2005-04-19 10:06:50	ga_ls5t_ard_3-0-0_100078_2005-04-19_final
2005-10-12 10:06:32	ga_ls5t_ard_3-0-0_100075_2005-10-12_final
2005-10-31 10:40:13	ga_ls5t_ard_3-0-0_105082_2005-10-31_final
2006-02-07 11:09:28	ga_ls5t_ard_3-0-0_110072_2006-02-07_final
2006-04-15 10:05:12	ga_ls5t_ard_3-0-0_099078_2006-04-15_final
2006-07-05 09:13:58	ga_ls5t_ard_3-0-0_090086_2006-07-04_final
2006-07-17 11:12:57	ga_ls5t_ard_3-1-0_110074_2006-07-17_final
2007-02-14 10:52:33	ga_ls5t_ard_3-0-0_106080_2007-02-14_final
2008-02-16 10:04:05	ga_ls5t_ard_3-0-0_099078_2008-02-16_final
2008-04-22 09:46:43	ga_ls5t_ard_3-1-0_097069_2008-04-22_final
2008-05-29 10:05:03	ga_ls5t_ard_3-0-0_100071_2008-05-29_final
2008-12-16 10:00:10	ga_ls5t_ard_3-0-0_099084_2008-12-16_final
2009-02-18 10:01:51	ga_ls5t_ard_3-0-0_099084_2009-02-18_final
2009-08-25 10:24:30	ga_ls5t_ard_3-0-0_103070_2009-08-25_final
2010-10-01 10:13:10	ga_ls5t_ard_3-0-0_101071_2010-10-01_final
2010-11-15 11:22:03	ga_ls5t_ard_3-0-0_112074_2010-11-15_final
2011-01-22 10:57:52	ga_ls5t_ard_3-0-0_108075_2011-01-22_final
2011-09-27 10:05:36	ga_ls5t_ard_3-0-0_100072_2011-09-27_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