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

68 results

Time (local)	Label
1988-03-12 11:21:54	ga_ls5t_ard_3-0-0_115077_1988-03-12_final
1988-03-17 09:58:48	ga_ls5t_ard_3-0-0_102070_1988-03-17_final
1988-05-10 09:20:55	ga_ls5t_ard_3-0-0_096067_1988-05-09_final
1988-06-01 10:23:17	ga_ls5t_ard_3-0-0_106068_1988-06-01_final
1988-08-08 10:03:58	ga_ls5t_ard_3-0-0_102081_1988-08-08_final
1989-08-16 10:16:05	ga_ls5t_ard_3-0-0_105075_1989-08-16_final
1990-03-29 09:10:42	ga_ls5t_ard_3-0-0_096067_1990-03-28_final
1990-06-05 10:27:43	ga_ls5t_ard_3-0-0_108074_1990-06-05_final
1990-11-28 10:26:49	ga_ls5t_ard_3-0-0_108074_1990-11-28_final
1990-12-06 09:36:08	ga_ls5t_ard_3-1-0_100071_1990-12-06_final
1991-01-15 09:30:12	ga_ls5t_ard_3-1-0_099069_1991-01-15_final
1991-02-17 11:12:04	ga_ls5t_ard_3-0-0_115075_1991-02-17_final
1991-04-25 08:28:22	ga_ls5t_ard_3-1-0_088080_1991-04-24_final
1991-09-07 08:35:32	ga_ls5t_ard_3-0-0_089078_1991-09-06_final
1992-05-09 10:31:17	ga_ls5t_ard_3-0-0_108074_1992-05-09_final
1992-06-19 08:49:22	ga_ls5t_ard_3-0-0_091083_1992-06-18_final
1992-09-23 08:44:49	ga_ls5t_ard_3-1-0_091075_1992-09-22_final
1992-12-01 10:40:15	ga_ls5t_ard_3-0-0_110072_1992-12-01_final
1992-12-03 10:28:43	ga_ls5t_ard_3-0-0_108074_1992-12-03_final
1993-05-12 10:30:01	ga_ls5t_ard_3-0-0_108074_1993-05-12_final
1994-09-25 10:41:58	ga_ls5t_ard_3-0-0_111073_1994-09-25_final
1994-11-18 08:27:48	ga_ls5t_ard_3-0-0_089082_1994-11-17_final
1995-10-14 08:47:15	ga_ls5t_ard_3-0-0_095073_1995-10-13_final
1995-10-30 08:43:58	ga_ls5t_ard_3-0-0_095067_1995-10-29_final
1996-02-16 08:24:35	ga_ls5t_ard_3-0-0_090081_1996-02-15_final
1996-05-25 10:37:20	ga_ls5t_ard_3-0-0_111073_1996-05-25_final
1996-11-12 10:28:11	ga_ls5t_ard_3-0-0_108074_1996-11-12_final
1996-12-07 10:23:35	ga_ls5t_ard_3-0-0_107075_1996-12-07_final
1997-04-12 10:40:55	ga_ls5t_ard_3-0-0_109074_1997-04-12_final
1997-05-24 09:42:35	ga_ls5t_ard_3-0-0_099079_1997-05-24_final
1997-05-31 09:48:37	ga_ls5t_ard_3-0-0_100078_1997-05-31_final
1997-06-12 08:36:27	ga_ls5t_ard_3-0-0_088082_1997-06-11_final
1997-06-16 09:49:09	ga_ls5t_ard_3-0-0_100078_1997-06-16_final
1997-09-30 10:26:49	ga_ls5t_ard_3-0-0_106071_1997-09-30_final
1998-01-09 10:49:05	ga_ls5t_ard_3-0-0_109074_1998-01-09_final
1998-01-22 08:42:45	ga_ls5t_ard_3-1-0_088082_1998-01-21_final
1998-03-05 10:54:43	ga_ls5t_ard_3-0-0_110070_1998-03-05_final
1998-09-13 10:59:03	ga_ls5t_ard_3-0-0_110075_1998-09-13_final
1999-03-11 09:52:59	ga_ls5t_ard_3-0-0_099079_1999-03-11_final
2003-07-02 10:49:55	ga_ls5t_ard_3-0-0_109074_2003-07-02_final
2003-10-10 10:27:14	ga_ls5t_ard_3-0-0_105075_2003-10-10_final
2003-11-18 10:33:55	ga_ls5t_ard_3-0-0_106075_2003-11-18_final
2004-11-29 10:34:45	ga_ls5t_ard_3-0-0_105075_2004-11-29_final
2004-12-22 10:39:47	ga_ls5t_ard_3-0-0_106071_2004-12-22_final
2005-02-02 11:18:36	ga_ls5t_ard_3-0-0_112074_2005-02-02_final
2005-02-08 10:42:25	ga_ls5t_ard_3-0-0_106076_2005-02-08_final
2005-03-02 10:06:30	ga_ls5t_ard_3-0-0_100078_2005-03-02_final
2005-03-26 10:54:35	ga_ls5t_ard_3-0-0_108074_2005-03-26_final
2005-06-08 09:56:50	ga_ls5t_ard_3-0-0_098083_2005-06-08_final
2005-06-11 10:23:22	ga_ls5t_ard_3-0-0_103072_2005-06-11_final
2005-06-28 11:05:55	ga_ls5t_ard_3-0-0_110070_2005-06-28_final
2006-04-07 10:53:18	ga_ls5t_ard_3-0-0_107075_2006-04-07_final
2006-04-16 09:09:11	ga_ls5t_ard_3-0-0_090077_2006-04-15_final
2006-04-23 10:53:34	ga_ls5t_ard_3-0-0_107075_2006-04-23_final
2006-04-25 10:41:14	ga_ls5t_ard_3-0-0_105075_2006-04-25_final
2006-05-05 09:36:23	ga_ls5t_ard_3-0-0_095067_2006-05-05_final
2006-05-17 10:05:15	ga_ls5t_ard_3-0-0_099077_2006-05-17_final
2006-12-31 11:20:28	ga_ls5t_ard_3-0-0_111073_2006-12-31_final
2007-08-08 11:45:27	ga_ls5t_ard_3-0-0_115077_2007-08-08_final
2008-01-13 10:19:03	ga_ls5t_ard_3-0-0_101083_2008-01-13_final
2008-03-28 09:54:18	ga_ls5t_ard_3-0-0_098071_2008-03-28_final
2009-03-05 09:20:33	ga_ls5t_ard_3-0-0_092088_2009-03-04_final
2009-03-16 10:36:22	ga_ls5t_ard_3-0-0_105076_2009-03-16_final
2010-04-21 11:23:08	ga_ls5t_ard_3-0-0_112074_2010-04-21_final
2010-10-28 09:54:22	ga_ls5t_ard_3-0-0_098071_2010-10-28_final
2011-04-28 10:57:34	ga_ls5t_ard_3-0-0_108075_2011-04-28_final
2011-05-22 10:06:27	ga_ls5t_ard_3-0-0_100071_2011-05-22_final
2011-10-22 09:57:54	ga_ls5t_ard_3-0-0_099069_2011-10-22_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