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

69 results

Time (local)	Label
1987-10-25 10:00:52	ga_ls5t_ard_3-0-0_102081_1987-10-25_final
1988-05-24 09:39:47	ga_ls5t_ard_3-0-0_098083_1988-05-24_final
1989-03-28 10:51:40	ga_ls5t_ard_3-0-0_110081_1989-03-28_final
1989-06-28 11:13:57	ga_ls5t_ard_3-0-0_114078_1989-06-28_final
1989-08-15 09:36:03	ga_ls5t_ard_3-0-0_098083_1989-08-15_final
1989-08-28 10:40:11	ga_ls5t_ard_3-0-0_109074_1989-08-28_final
1990-09-21 10:55:38	ga_ls5t_ard_3-0-0_112083_1990-09-21_final
1991-01-26 10:12:43	ga_ls5t_ard_3-0-0_105082_1991-01-26_final
1991-03-25 10:47:17	ga_ls5t_ard_3-0-0_111073_1991-03-25_final
1991-04-12 10:35:35	ga_ls5t_ard_3-0-0_109074_1991-04-12_final
1991-05-10 09:26:18	ga_ls5t_ard_3-0-0_097085_1991-05-09_final
1991-06-19 08:35:02	ga_ls5t_ard_3-0-0_089079_1991-06-18_final
1991-10-06 09:46:07	ga_ls5t_ard_3-1-0_100084_1991-10-06_final
1991-11-06 10:37:54	ga_ls5t_ard_3-0-0_109074_1991-11-06_final
1992-02-20 09:34:52	ga_ls5t_ard_3-0-0_099071_1992-02-20_final
1992-05-07 10:46:26	ga_ls5t_ard_3-0-0_110081_1992-05-07_final
1993-02-07 08:40:59	ga_ls5t_ard_3-0-0_090081_1993-02-06_final
1993-04-12 08:41:23	ga_ls5t_ard_3-0-0_090081_1993-04-11_final
1993-09-01 08:53:49	ga_ls5t_ard_3-0-0_092081_1993-08-31_final
1993-10-04 09:36:35	ga_ls5t_ard_3-0-0_099080_1993-10-04_final
1994-01-29 09:54:30	ga_ls5t_ard_3-0-0_102081_1994-01-29_final
1994-05-17 10:17:28	ga_ls5t_ard_3-1-0_106081_1994-05-17_final
1994-11-18 10:03:53	ga_ls5t_ard_3-0-0_105075_1994-11-18_final
1994-11-26 10:52:40	ga_ls5t_ard_3-0-0_113074_1994-11-26_final
1994-12-14 10:39:23	ga_ls5t_ard_3-0-0_111073_1994-12-14_final
1996-06-07 08:31:27	ga_ls5t_ard_3-0-0_090081_1996-06-06_final
1996-07-24 09:28:22	ga_ls5t_ard_3-0-0_099078_1996-07-23_final
1996-08-09 09:29:13	ga_ls5t_ard_3-0-0_099078_1996-08-08_final
1996-09-30 10:48:36	ga_ls5t_ard_3-0-0_111084_1996-09-30_final
1997-04-12 10:41:43	ga_ls5t_ard_3-0-0_109076_1997-04-12_final
1997-12-09 09:53:55	ga_ls5t_ard_3-0-0_100077_1997-12-09_final
1998-03-08 09:49:59	ga_ls5t_ard_3-0-0_099078_1998-03-08_final
1998-11-07 11:04:38	ga_ls5t_ard_3-0-0_111073_1998-11-07_final
1999-02-07 09:52:40	ga_ls5t_ard_3-0-0_099078_1999-02-07_final
1999-02-14 09:58:32	ga_ls5t_ard_3-0-0_100077_1999-02-14_final
1999-06-10 09:36:08	ga_ls5t_ard_3-1-0_096086_1999-06-10_final
1999-10-29 09:00:00	ga_ls5t_ard_3-0-0_091077_1999-10-28_final
2003-11-18 10:33:55	ga_ls5t_ard_3-0-0_106075_2003-11-18_final
2004-04-30 10:08:09	ga_ls5t_ard_3-1-0_102068_2004-04-30_final
2004-07-09 11:14:25	ga_ls5t_ard_3-0-0_112074_2004-07-09_final
2004-09-01 09:03:21	ga_ls5t_ard_3-0-0_090083_2004-08-31_final
2004-09-06 10:57:19	ga_ls5t_ard_3-0-0_109074_2004-09-06_final
2004-10-07 10:17:34	ga_ls5t_ard_3-0-0_102081_2004-10-07_final
2005-01-27 10:19:31	ga_ls5t_ard_3-0-0_102081_2005-01-27_final
2005-03-11 09:56:03	ga_ls5t_ard_3-0-0_099067_2005-03-11_final
2005-04-11 10:55:03	ga_ls5t_ard_3-0-0_108075_2005-04-11_final
2005-04-18 11:01:39	ga_ls5t_ard_3-0-0_109076_2005-04-18_final
2005-06-09 10:37:19	ga_ls5t_ard_3-0-0_105076_2005-06-09_final
2005-06-21 11:01:19	ga_ls5t_ard_3-0-0_109074_2005-06-21_final
2005-06-21 11:01:42	ga_ls5t_ard_3-0-0_109075_2005-06-21_final
2005-06-28 11:06:43	ga_ls5t_ard_3-0-0_110072_2005-06-28_final
2005-09-08 10:21:23	ga_ls5t_ard_3-0-0_102081_2005-09-08_final
2005-09-09 11:01:51	ga_ls5t_ard_3-0-0_109074_2005-09-09_final
2005-10-22 10:44:02	ga_ls5t_ard_3-0-0_106076_2005-10-22_final
2006-07-19 11:00:37	ga_ls5t_ard_3-0-0_108074_2006-07-19_final
2006-07-30 10:43:01	ga_ls5t_ard_3-0-0_105076_2006-07-30_final
2006-09-21 11:01:25	ga_ls5t_ard_3-0-0_108074_2006-09-21_final
2006-10-25 09:13:19	ga_ls5t_ard_3-0-0_090081_2006-10-24_final
2006-12-11 10:08:33	ga_ls5t_ard_3-0-0_099079_2006-12-11_final
2007-04-12 10:44:37	ga_ls5t_ard_3-0-0_105076_2007-04-12_final
2008-02-17 10:44:33	ga_ls5t_ard_3-0-0_106071_2008-02-17_final
2008-02-26 10:37:00	ga_ls5t_ard_3-0-0_105068_2008-02-26_final
2009-04-25 09:44:57	ga_ls5t_ard_3-1-0_097069_2009-04-25_final
2009-06-22 10:22:41	ga_ls5t_ard_3-0-0_103068_2009-06-22_final
2009-09-13 09:22:46	ga_ls5t_ard_3-0-0_092085_2009-09-12_final
2011-01-11 09:36:44	ga_ls5t_ard_3-0-0_095073_2011-01-11_final
2011-01-31 10:51:43	ga_ls5t_ard_3-0-0_107075_2011-01-31_final
2011-02-18 10:38:59	ga_ls5t_ard_3-0-0_105074_2011-02-18_final
2011-09-12 09:11:26	ga_ls5t_ard_3-1-0_091075_2011-09-11_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