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

57 results

Time (local)	Label
1988-08-26 09:50:05	ga_ls5t_ard_3-0-0_100077_1988-08-26_final
1988-10-05 10:38:11	ga_ls5t_ard_3-0-0_108074_1988-10-05_final
1988-12-29 10:56:24	ga_ls5t_ard_3-0-0_111074_1988-12-29_final
1989-05-18 09:41:34	ga_ls5t_ard_3-0-0_099077_1989-05-18_final
1989-11-08 09:47:38	ga_ls5t_ard_3-0-0_101071_1989-11-08_final
1990-02-14 11:12:44	ga_ls5t_ard_3-0-0_115075_1990-02-14_final
1990-10-27 10:27:03	ga_ls5t_ard_3-0-0_108074_1990-10-27_final
1990-12-30 10:27:19	ga_ls5t_ard_3-0-0_108074_1990-12-30_final
1991-03-04 10:28:40	ga_ls5t_ard_3-0-0_108074_1991-03-04_final
1991-07-26 10:31:00	ga_ls5t_ard_3-0-0_108074_1991-07-26_final
1992-02-20 09:38:04	ga_ls5t_ard_3-0-0_099079_1992-02-20_final
1992-02-28 10:25:32	ga_ls5t_ard_3-0-0_107074_1992-02-28_final
1993-09-02 09:32:18	ga_ls5t_ard_3-0-0_099069_1993-09-02_final
1994-04-09 09:10:46	ga_ls5t_ard_3-0-0_096067_1994-04-08_final
1994-08-04 09:30:42	ga_ls5t_ard_3-0-0_099077_1994-08-04_final
1994-09-20 10:23:58	ga_ls5t_ard_3-0-0_108074_1994-09-20_final
1995-01-12 10:07:53	ga_ls5t_ard_3-0-0_106074_1995-01-12_final
1995-09-28 08:45:43	ga_ls5t_ard_3-0-0_095067_1995-09-27_final
1995-11-22 08:50:15	ga_ls5t_ard_3-0-0_096067_1995-11-21_final
1996-02-23 10:07:43	ga_ls5t_ard_3-0-0_107075_1996-02-23_final
1996-06-12 10:26:22	ga_ls5t_ard_3-0-0_109074_1996-06-12_final
1996-06-22 09:26:17	ga_ls5t_ard_3-0-0_099077_1996-06-21_final
1996-07-21 10:35:00	ga_ls5t_ard_3-0-0_110075_1996-07-21_final
1996-09-09 10:24:56	ga_ls5t_ard_3-0-0_108074_1996-09-09_final
1997-02-04 08:31:18	ga_ls5t_ard_3-1-0_088081_1997-02-03_final
1998-05-03 10:39:00	ga_ls5t_ard_3-0-0_107075_1998-05-03_final
1999-01-29 09:58:20	ga_ls5t_ard_3-0-0_100077_1999-01-29_final
1999-06-30 10:45:20	ga_ls5t_ard_3-0-0_108074_1999-06-30_final
2003-07-28 09:50:10	ga_ls5t_ard_3-0-0_099078_2003-07-28_final
2003-07-29 10:32:39	ga_ls5t_ard_3-0-0_106076_2003-07-29_final
2003-11-24 09:57:45	ga_ls5t_ard_3-0-0_100077_2003-11-24_final
2003-11-28 09:29:05	ga_ls5t_ard_3-0-0_096067_2003-11-27_final
2004-01-19 10:48:43	ga_ls5t_ard_3-0-0_108080_2004-01-19_final
2004-03-09 10:34:38	ga_ls5t_ard_3-0-0_106075_2004-03-09_final
2004-04-04 09:29:55	ga_ls5t_ard_3-1-0_096067_2004-04-03_final
2004-05-03 10:41:56	ga_ls5t_ard_3-0-0_107075_2004-05-03_final
2004-12-09 09:33:34	ga_ls5t_ard_3-1-0_095076_2004-12-09_final
2005-02-23 09:59:49	ga_ls5t_ard_3-0-0_099077_2005-02-23_final
2005-04-27 10:54:43	ga_ls5t_ard_3-0-0_108074_2005-04-27_final
2005-05-04 11:00:57	ga_ls5t_ard_3-0-0_109074_2005-05-04_final
2005-05-15 10:43:16	ga_ls5t_ard_3-0-0_106076_2005-05-15_final
2005-06-10 09:38:06	ga_ls5t_ard_3-0-0_096067_2005-06-10_final
2005-07-06 10:20:53	ga_ls5t_ard_3-0-0_102081_2005-07-06_final
2005-07-28 09:38:29	ga_ls5t_ard_3-0-0_096067_2005-07-28_final
2006-08-10 10:26:37	ga_ls5t_ard_3-0-0_102081_2006-08-10_final
2007-01-25 11:13:15	ga_ls5t_ard_3-0-0_110070_2007-01-25_final
2007-08-03 09:44:05	ga_ls5t_ard_3-0-0_096067_2007-08-03_final
2008-08-21 09:36:22	ga_ls5t_ard_3-0-0_096067_2008-08-21_final
2008-09-01 09:21:07	ga_ls5t_ard_3-0-0_093076_2008-08-31_final
2009-01-25 09:08:36	ga_ls5t_ard_3-0-0_091076_2009-01-24_final
2009-09-25 09:40:28	ga_ls5t_ard_3-0-0_096067_2009-09-25_final
2010-01-31 09:41:27	ga_ls5t_ard_3-0-0_096067_2010-01-31_final
2010-05-05 09:54:09	ga_ls5t_ard_3-0-0_098068_2010-05-05_final
2010-09-01 10:00:12	ga_ls5t_ard_3-0-0_099069_2010-09-01_final
2010-12-14 10:51:36	ga_ls5t_ard_3-0-0_107075_2010-12-14_final
2011-05-06 10:08:54	ga_ls5t_ard_3-0-0_100077_2011-05-06_final
2011-08-30 09:39:18	ga_ls5t_ard_3-0-0_096067_2011-08-30_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