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

71 results

Time (local)	Label
1987-05-31 09:28:10	ga_ls5t_ard_3-0-0_097085_1987-05-30_final
1988-02-10 08:50:38	ga_ls5t_ard_3-0-0_090086_1988-02-09_final
1988-03-16 10:55:13	ga_ls5t_ard_3-0-0_111072_1988-03-16_final
1988-05-13 09:56:15	ga_ls5t_ard_3-0-0_101078_1988-05-13_final
1988-09-25 09:58:45	ga_ls5t_ard_3-0-0_102068_1988-09-25_final
1989-05-11 09:38:46	ga_ls5t_ard_3-0-0_098085_1989-05-11_final
1989-07-07 11:08:22	ga_ls5t_ard_3-0-0_113080_1989-07-07_final
1989-07-19 09:55:10	ga_ls5t_ard_3-0-0_101083_1989-07-19_final
1989-11-04 08:36:47	ga_ls5t_ard_3-0-0_089079_1989-11-03_final
1990-06-30 08:47:49	ga_ls5t_ard_3-0-0_091087_1990-06-29_final
1990-07-21 10:43:10	ga_ls5t_ard_3-0-0_110082_1990-07-21_final
1990-08-30 09:51:31	ga_ls5t_ard_3-0-0_102077_1990-08-30_final
1991-03-04 10:27:04	ga_ls5t_ard_3-0-0_108070_1991-03-04_final
1991-05-28 10:51:07	ga_ls5t_ard_3-0-0_111080_1991-05-28_final
1991-06-01 08:50:46	ga_ls5t_ard_3-0-0_091088_1991-05-31_final
1991-09-27 09:49:00	ga_ls5t_ard_3-0-0_101076_1991-09-27_final
1991-11-26 10:14:06	ga_ls5t_ard_3-0-0_105076_1991-11-26_final
1991-12-26 08:52:00	ga_ls5t_ard_3-0-0_091087_1991-12-25_final
1992-02-08 09:14:35	ga_ls5t_ard_3-0-0_095082_1992-02-07_final
1992-06-25 09:48:44	ga_ls5t_ard_3-0-0_101077_1992-06-25_final
1992-07-22 09:32:39	ga_ls5t_ard_3-0-0_098084_1992-07-22_final
1992-07-30 10:16:48	ga_ls5t_ard_3-0-0_106071_1992-07-30_final
1992-10-05 10:47:19	ga_ls5t_ard_3-0-0_111073_1992-10-05_final
1992-11-22 09:13:22	ga_ls5t_ard_3-0-0_095087_1992-11-21_final
1992-12-03 08:54:13	ga_ls5t_ard_3-0-0_092085_1992-12-02_final
1992-12-21 10:16:08	ga_ls5t_ard_3-0-0_106073_1992-12-21_final
1993-01-13 10:22:58	ga_ls5t_ard_3-0-0_107074_1993-01-13_final
1993-02-11 09:55:35	ga_ls5t_ard_3-0-0_102082_1993-02-11_final
1993-05-06 09:32:11	ga_ls5t_ard_3-0-0_098084_1993-05-06_final
1993-06-18 09:14:30	ga_ls5t_ard_3-0-0_095086_1993-06-17_final
1993-09-10 10:24:07	ga_ls5t_ard_3-0-0_107075_1993-09-10_final
1994-01-07 08:47:23	ga_ls5t_ard_3-0-0_092067_1994-01-06_final
1994-05-04 10:45:01	ga_ls5t_ard_3-0-0_111072_1994-05-04_final
1994-06-01 09:29:57	ga_ls5t_ard_3-1-0_099071_1994-05-31_final
1994-08-15 09:14:42	ga_ls5t_ard_3-0-0_096084_1994-08-14_final
1994-09-04 08:45:54	ga_ls5t_ard_3-0-0_092075_1994-09-03_final
1994-09-23 09:17:06	ga_ls5t_ard_3-0-0_097077_1994-09-22_final
1994-12-25 10:20:29	ga_ls5t_ard_3-0-0_108073_1994-12-25_final
1995-02-09 10:31:07	ga_ls5t_ard_3-0-0_110073_1995-02-09_final
1995-08-11 10:29:19	ga_ls5t_ard_3-0-0_111073_1995-08-11_final
1996-03-28 09:57:10	ga_ls5t_ard_3-0-0_105074_1996-03-28_final
1996-04-13 09:58:10	ga_ls5t_ard_3-0-0_105074_1996-04-13_final
1997-01-21 09:55:37	ga_ls5t_ard_3-0-0_102077_1997-01-21_final
1997-02-18 10:19:09	ga_ls5t_ard_3-0-0_106071_1997-02-18_final
1999-05-02 11:05:34	ga_ls5t_ard_3-0-0_111076_1999-05-02_final
1999-11-13 09:54:42	ga_ls5t_ard_3-0-0_100076_1999-11-13_final
2003-05-04 11:07:16	ga_ls5t_ard_3-0-0_112074_2003-05-04_final
2003-11-07 10:51:47	ga_ls5t_ard_3-0-0_109074_2003-11-07_final
2004-01-04 09:53:04	ga_ls5t_ard_3-0-0_099080_2004-01-04_final
2004-01-30 10:31:03	ga_ls5t_ard_3-0-0_105082_2004-01-30_final
2004-08-22 10:04:53	ga_ls5t_ard_3-0-0_100083_2004-08-22_final
2004-10-04 11:22:42	ga_ls5t_ard_3-0-0_113074_2004-10-04_final
2004-12-29 09:12:46	ga_ls5t_ard_3-0-0_091085_2004-12-28_final
2005-01-19 11:05:40	ga_ls5t_ard_3-0-0_110073_2005-01-19_final
2005-02-23 11:38:18	ga_ls5t_ard_3-0-0_115076_2005-02-23_final
2005-03-17 09:22:12	ga_ls5t_ard_3-0-0_093075_2005-03-16_final
2005-05-30 11:39:50	ga_ls5t_ard_3-0-0_115078_2005-05-30_final
2005-09-05 09:52:05	ga_ls5t_ard_3-0-0_097085_2005-09-05_final
2006-01-26 10:46:27	ga_ls5t_ard_3-0-0_106077_2006-01-26_final
2006-06-06 09:38:51	ga_ls5t_ard_3-0-0_095072_2006-06-06_final
2006-08-02 09:37:04	ga_ls5t_ard_3-0-0_094081_2006-08-02_final
2007-02-12 09:24:02	ga_ls5t_ard_3-0-0_092075_2007-02-11_final
2007-07-11 11:19:23	ga_ls5t_ard_3-0-0_111073_2007-07-11_final
2007-08-04 10:33:19	ga_ls5t_ard_3-0-0_103082_2007-08-04_final
2007-08-18 10:42:45	ga_ls5t_ard_3-0-0_105075_2007-08-18_final
2007-09-06 11:13:28	ga_ls5t_ard_3-0-0_110075_2007-09-06_final
2008-04-11 10:08:44	ga_ls5t_ard_3-0-0_100077_2008-04-11_final
2008-08-21 11:18:03	ga_ls5t_ard_3-0-0_112074_2008-08-21_final
2008-12-12 10:19:35	ga_ls5t_ard_3-0-0_103071_2008-12-12_final
2009-08-22 09:53:10	ga_ls5t_ard_3-0-0_098069_2009-08-22_final
2010-05-05 09:54:09	ga_ls5t_ard_3-0-0_098068_2010-05-05_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