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

54 results

Time (local)	Label
1987-12-02 11:04:36	ga_ls5t_ard_3-0-0_112084_1987-12-02_final
1987-12-28 09:57:13	ga_ls5t_ard_3-0-0_102069_1987-12-28_final
1988-02-02 09:33:33	ga_ls5t_ard_3-0-0_098070_1988-02-02_final
1988-03-16 10:55:37	ga_ls5t_ard_3-0-0_111073_1988-03-16_final
1988-09-03 10:40:44	ga_ls5t_ard_3-0-0_108080_1988-09-03_final
1989-05-03 08:46:40	ga_ls5t_ard_3-0-0_090078_1989-05-02_final
1990-03-11 09:27:38	ga_ls5t_ard_3-0-0_098077_1990-03-10_final
1990-05-26 09:49:02	ga_ls5t_ard_3-0-0_102070_1990-05-26_final
1990-09-10 11:12:15	ga_ls5t_ard_3-0-0_115078_1990-09-10_final
1990-12-07 10:20:37	ga_ls5t_ard_3-0-0_107074_1990-12-07_final
1990-12-23 08:42:28	ga_ls5t_ard_3-1-0_091075_1990-12-22_final
1992-01-27 08:47:59	ga_ls5t_ard_3-0-0_091077_1992-01-26_final
1992-06-17 10:37:27	ga_ls5t_ard_3-0-0_109075_1992-06-17_final
1993-05-24 10:58:47	ga_ls5t_ard_3-0-0_112084_1993-05-24_final
1993-12-15 08:47:28	ga_ls5t_ard_3-0-0_091082_1993-12-14_final
1994-08-13 09:25:07	ga_ls5t_ard_3-0-0_098079_1994-08-12_final
1994-11-01 09:24:48	ga_ls5t_ard_3-0-0_098084_1994-10-31_final
1994-12-13 08:20:52	ga_ls5t_ard_3-1-0_088082_1994-12-12_final
1994-12-14 10:42:34	ga_ls5t_ard_3-0-0_111081_1994-12-14_final
1994-12-25 10:19:41	ga_ls5t_ard_3-0-0_108071_1994-12-25_final
1995-01-21 10:01:22	ga_ls5t_ard_3-0-0_105074_1995-01-21_final
1995-03-13 08:56:08	ga_ls5t_ard_3-0-0_094086_1995-03-12_final
1995-06-11 09:28:04	ga_ls5t_ard_3-0-0_100083_1995-06-10_final
1995-10-01 09:18:03	ga_ls5t_ard_3-0-0_100071_1995-09-30_final
1995-12-22 09:07:17	ga_ls5t_ard_3-0-0_098074_1995-12-21_final
1996-06-12 10:29:09	ga_ls5t_ard_3-0-0_109081_1996-06-12_final
1996-07-24 11:07:16	ga_ls5t_ard_3-0-0_115078_1996-07-24_final
1996-11-08 10:56:19	ga_ls5t_ard_3-0-0_112083_1996-11-08_final
1997-03-25 10:52:14	ga_ls5t_ard_3-0-0_111073_1997-03-25_final
1997-07-27 09:41:11	ga_ls5t_ard_3-0-0_099070_1997-07-27_final
1997-08-28 09:43:00	ga_ls5t_ard_3-0-0_099072_1997-08-28_final
1998-04-13 09:24:33	ga_ls5t_ard_3-0-0_095075_1998-04-12_final
1998-10-28 10:27:52	ga_ls5t_ard_3-0-0_105074_1998-10-28_final
1999-06-05 10:51:46	ga_ls5t_ard_3-0-0_109074_1999-06-05_final
1999-09-28 09:39:51	ga_ls5t_ard_3-0-0_098068_1999-09-28_final
1999-10-29 09:04:24	ga_ls5t_ard_3-0-0_091088_1999-10-28_final
2003-06-21 11:08:12	ga_ls5t_ard_3-0-0_112074_2003-06-21_final
2003-07-04 09:01:30	ga_ls5t_ard_3-0-0_091081_2003-07-03_final
2003-11-13 10:13:40	ga_ls5t_ard_3-0-0_103071_2003-11-13_final
2004-01-18 10:05:51	ga_ls5t_ard_3-0-0_101081_2004-01-18_final
2004-10-31 09:25:27	ga_ls5t_ard_3-1-0_094073_2004-10-30_final
2004-12-05 09:55:25	ga_ls5t_ard_3-0-0_099069_2004-12-05_final
2005-10-01 10:23:56	ga_ls5t_ard_3-0-0_103072_2005-10-01_final
2006-04-17 11:30:09	ga_ls5t_ard_3-0-0_113074_2006-04-17_final
2006-12-11 11:47:03	ga_ls5t_ard_3-0-0_115078_2006-12-11_final
2007-01-09 11:13:58	ga_ls5t_ard_3-0-0_110072_2007-01-09_final
2007-03-21 11:20:36	ga_ls5t_ard_3-0-0_111073_2007-03-21_final
2007-05-20 11:46:52	ga_ls5t_ard_3-0-0_115078_2007-05-20_final
2008-03-28 09:57:06	ga_ls5t_ard_3-0-0_098078_2008-03-28_final
2009-04-16 09:56:57	ga_ls5t_ard_3-0-0_098084_2009-04-16_final
2009-10-17 09:12:00	ga_ls5t_ard_3-0-0_090088_2009-10-16_final
2010-02-06 10:43:40	ga_ls5t_ard_3-0-0_106068_2010-02-06_final
2011-03-30 11:31:28	ga_ls5t_ard_3-0-0_113082_2011-03-30_final
2011-09-18 10:11:33	ga_ls5t_ard_3-0-0_101071_2011-09-18_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years