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

58 results

Time (local)	Label
1987-11-28 09:45:36	ga_ls5t_ard_3-0-0_100072_1987-11-28_final
1988-01-10 09:28:32	ga_ls5t_ard_3-0-0_097074_1988-01-09_final
1988-01-28 10:54:36	ga_ls5t_ard_3-0-0_111072_1988-01-28_final
1988-07-28 08:45:14	ga_ls5t_ard_3-0-0_089085_1988-07-27_final
1988-09-14 10:19:45	ga_ls5t_ard_3-0-0_105074_1988-09-14_final
1989-04-26 08:40:33	ga_ls5t_ard_3-0-0_089078_1989-04-25_final
1989-05-26 08:56:50	ga_ls5t_ard_3-0-0_091089_1989-05-25_final
1989-07-21 11:19:39	ga_ls5t_ard_3-0-0_115078_1989-07-21_final
1990-12-31 09:29:20	ga_ls5t_ard_3-1-0_099068_1990-12-30_final
1991-04-30 10:25:32	ga_ls5t_ard_3-0-0_107079_1991-04-30_final
1992-03-22 10:30:07	ga_ls5t_ard_3-0-0_108070_1992-03-22_final
1992-04-13 09:52:03	ga_ls5t_ard_3-0-0_102068_1992-04-13_final
1992-05-02 08:51:05	ga_ls5t_ard_3-0-0_091086_1992-05-01_final
1992-07-29 09:37:08	ga_ls5t_ard_3-0-0_099080_1992-07-29_final
1992-10-05 09:08:03	ga_ls5t_ard_3-0-0_095072_1992-10-04_final
1992-10-19 09:22:38	ga_ls5t_ard_3-0-0_097078_1992-10-18_final
1992-11-24 10:34:44	ga_ls5t_ard_3-0-0_109074_1992-11-24_final
1993-07-08 10:24:09	ga_ls5t_ard_3-0-0_107075_1993-07-08_final
1993-10-05 08:44:09	ga_ls5t_ard_3-0-0_090088_1993-10-04_final
1994-12-27 10:07:39	ga_ls5t_ard_3-0-0_106072_1994-12-27_final
1995-08-30 09:19:39	ga_ls5t_ard_3-0-0_100071_1995-08-29_final
1996-01-14 09:13:55	ga_ls5t_ard_3-0-0_099071_1996-01-13_final
1996-02-01 10:42:55	ga_ls5t_ard_3-0-0_113074_1996-02-01_final
1996-08-22 10:36:16	ga_ls5t_ard_3-1-0_110074_1996-08-22_final
1996-11-06 09:24:54	ga_ls5t_ard_3-0-0_098071_1996-11-05_final
1997-02-17 09:38:39	ga_ls5t_ard_3-0-0_099078_1997-02-17_final
1997-06-12 08:36:27	ga_ls5t_ard_3-0-0_088082_1997-06-11_final
1997-06-17 08:57:33	ga_ls5t_ard_3-0-0_091088_1997-06-16_final
1997-10-26 09:30:55	ga_ls5t_ard_3-0-0_096084_1997-10-26_final
1999-08-06 11:06:34	ga_ls5t_ard_3-0-0_111081_1999-08-06_final
1999-09-04 10:34:40	ga_ls5t_ard_3-0-0_106080_1999-09-04_final
1999-09-07 11:02:39	ga_ls5t_ard_3-0-0_111073_1999-09-07_final
1999-12-30 09:09:56	ga_ls5t_ard_3-0-0_093074_1999-12-29_final
2003-09-01 10:20:29	ga_ls5t_ard_3-0-0_104075_2003-09-01_final
2004-03-03 11:11:16	ga_ls5t_ard_3-0-0_112074_2004-03-03_final
2004-03-09 10:31:50	ga_ls5t_ard_3-0-0_106068_2004-03-09_final
2004-09-24 09:09:19	ga_ls5t_ard_3-0-0_091081_2004-09-23_final
2004-11-01 10:08:20	ga_ls5t_ard_3-0-0_101072_2004-11-01_final
2005-01-02 10:23:23	ga_ls5t_ard_3-0-0_103076_2005-01-02_final
2005-01-03 11:05:52	ga_ls5t_ard_3-1-0_110074_2005-01-03_final
2005-02-16 09:50:43	ga_ls5t_ard_3-0-0_098070_2005-02-16_final
2005-03-09 10:14:22	ga_ls5t_ard_3-0-0_101082_2005-03-09_final
2005-06-09 10:37:19	ga_ls5t_ard_3-0-0_105076_2005-06-09_final
2005-08-28 10:37:30	ga_ls5t_ard_3-0-0_105075_2005-08-28_final
2006-11-30 10:23:25	ga_ls5t_ard_3-0-0_102070_2006-11-30_final
2007-01-13 10:47:40	ga_ls5t_ard_3-0-0_106068_2007-01-13_final
2007-02-28 09:29:13	ga_ls5t_ard_3-0-0_092088_2007-02-27_final
2007-08-05 11:10:35	ga_ls5t_ard_3-0-0_110067_2007-08-05_final
2008-04-01 09:30:41	ga_ls5t_ard_3-0-0_094074_2008-04-01_final
2008-09-29 11:23:04	ga_ls5t_ard_3-0-0_113074_2008-09-29_final
2008-11-23 11:25:22	ga_ls5t_ard_3-0-0_114067_2008-11-23_final
2009-01-03 09:43:06	ga_ls5t_ard_3-0-0_097071_2009-01-03_final
2009-05-06 11:11:28	ga_ls5t_ard_3-0-0_110084_2009-05-06_final
2009-08-04 10:08:03	ga_ls5t_ard_3-0-0_100076_2009-08-04_final
2009-11-20 10:30:49	ga_ls5t_ard_3-0-0_104068_2009-11-20_final
2010-01-21 10:44:00	ga_ls5t_ard_3-0-0_106069_2010-01-21_final
2010-02-09 09:35:18	ga_ls5t_ard_3-0-0_095067_2010-02-09_final
2011-02-25 09:10:40	ga_ls5t_ard_3-0-0_090085_2011-02-24_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