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

66 results

Time (local)	Label
1987-09-14 10:06:40	ga_ls5t_ard_3-0-0_103082_1987-09-14_final
1987-10-10 10:43:53	ga_ls5t_ard_3-0-0_109081_1987-10-10_final
1987-12-14 09:46:13	ga_ls5t_ard_3-0-0_100073_1987-12-14_final
1988-07-11 09:40:49	ga_ls5t_ard_3-0-0_098085_1988-07-11_final
1988-08-12 11:16:55	ga_ls5t_ard_3-0-0_114078_1988-08-12_final
1989-03-03 10:56:37	ga_ls5t_ard_3-0-0_111076_1989-03-03_final
1989-08-07 08:49:36	ga_ls5t_ard_3-1-0_090090_1989-08-06_final
1990-06-01 10:52:26	ga_ls5t_ard_3-0-0_112074_1990-06-01_final
1990-12-25 08:33:44	ga_ls5t_ard_3-0-0_089084_1990-12-24_final
1991-10-17 09:24:31	ga_ls5t_ard_3-0-0_097076_1991-10-16_final
1991-11-26 10:13:42	ga_ls5t_ard_3-0-0_105075_1991-11-26_final
1992-04-16 10:25:20	ga_ls5t_ard_3-0-0_107074_1992-04-16_final
1993-01-04 10:27:27	ga_ls5t_ard_3-0-0_108070_1993-01-04_final
1993-02-11 09:50:00	ga_ls5t_ard_3-1-0_102068_1993-02-11_final
1993-03-26 09:32:29	ga_ls5t_ard_3-0-0_099070_1993-03-26_final
1993-04-04 09:26:47	ga_ls5t_ard_3-0-0_098071_1993-04-03_final
1993-04-28 08:45:07	ga_ls5t_ard_3-1-0_090090_1993-04-27_final
1993-08-22 09:53:14	ga_ls5t_ard_3-0-0_102075_1993-08-22_final
1993-11-05 09:35:10	ga_ls5t_ard_3-0-0_099077_1993-11-05_final
1993-12-20 09:05:58	ga_ls5t_ard_3-0-0_094082_1993-12-19_final
1994-01-05 10:41:04	ga_ls5t_ard_3-0-0_110073_1994-01-05_final
1994-02-22 09:01:57	ga_ls5t_ard_3-0-0_094074_1994-02-21_final
1994-03-04 09:40:53	ga_ls5t_ard_3-0-0_100079_1994-03-04_final
1994-12-11 08:34:53	ga_ls5t_ard_3-0-0_090086_1994-12-10_final
1994-12-26 09:26:25	ga_ls5t_ard_3-0-0_099077_1994-12-25_final
1995-04-21 10:34:00	ga_ls5t_ard_3-0-0_111072_1995-04-21_final
1995-04-27 09:59:51	ga_ls5t_ard_3-0-0_105080_1995-04-27_final
1995-06-17 08:49:55	ga_ls5t_ard_3-0-0_094081_1995-06-16_final
1995-08-17 09:49:58	ga_ls5t_ard_3-0-0_105068_1995-08-17_final
1995-08-25 10:38:38	ga_ls5t_ard_3-0-0_113067_1995-08-25_final
1995-12-05 08:23:57	ga_ls5t_ard_3-0-0_091077_1995-12-04_final
1996-02-19 08:52:29	ga_ls5t_ard_3-0-0_095073_1996-02-18_final
1996-05-14 09:18:21	ga_ls5t_ard_3-0-0_098078_1996-05-13_final
1996-10-30 11:01:16	ga_ls5t_ard_3-0-0_113081_1996-10-30_final
1996-12-12 10:45:34	ga_ls5t_ard_3-0-0_110083_1996-12-12_final
1996-12-28 10:42:20	ga_ls5t_ard_3-0-0_110073_1996-12-28_final
1997-07-19 08:58:16	ga_ls5t_ard_3-1-0_091087_1997-07-18_final
1997-07-28 10:23:41	ga_ls5t_ard_3-0-0_106068_1997-07-28_final
1997-10-07 09:00:17	ga_ls5t_ard_3-0-0_091086_1997-10-06_final
1998-03-28 11:02:03	ga_ls5t_ard_3-0-0_111072_1998-03-28_final
1998-06-12 09:47:23	ga_ls5t_ard_3-0-0_099068_1998-06-12_final
1998-08-14 10:44:24	ga_ls5t_ard_3-0-0_108070_1998-08-14_final
1998-11-22 08:46:10	ga_ls5t_ard_3-1-0_088082_1998-11-21_final
1998-11-23 09:28:38	ga_ls5t_ard_3-0-0_095080_1998-11-22_final
1999-04-03 09:58:48	ga_ls5t_ard_3-0-0_100079_1999-04-03_final
1999-04-06 10:25:42	ga_ls5t_ard_3-0-0_105069_1999-04-06_final
2003-05-04 11:11:16	ga_ls5t_ard_3-0-0_112084_2003-05-04_final
2003-10-01 10:33:16	ga_ls5t_ard_3-0-0_106075_2003-10-01_final
2003-11-29 10:17:56	ga_ls5t_ard_3-0-0_103081_2003-11-29_final
2004-04-11 09:43:06	ga_ls5t_ard_3-0-0_097084_2004-04-11_final
2005-01-22 11:38:37	ga_ls5t_ard_3-0-0_115078_2005-01-22_final
2005-11-04 10:15:35	ga_ls5t_ard_3-0-0_101082_2005-11-04_final
2006-07-01 11:12:44	ga_ls5t_ard_3-0-0_110074_2006-07-01_final
2006-10-14 11:09:03	ga_ls5t_ard_3-0-0_109077_2006-10-14_final
2006-11-26 10:47:18	ga_ls5t_ard_3-0-0_106068_2006-11-26_final
2007-01-18 11:08:38	ga_ls5t_ard_3-0-0_109074_2007-01-18_final
2007-03-17 10:10:27	ga_ls5t_ard_3-0-0_099083_2007-03-17_final
2007-09-06 11:14:16	ga_ls5t_ard_3-0-0_110077_2007-09-06_final
2007-09-07 10:21:02	ga_ls5t_ard_3-0-0_101083_2007-09-07_final
2008-01-24 11:35:35	ga_ls5t_ard_3-0-0_114074_2008-01-24_final
2009-01-12 09:42:21	ga_ls5t_ard_3-0-0_096084_2009-01-12_final
2009-03-23 10:39:30	ga_ls5t_ard_3-0-0_106068_2009-03-23_final
2009-04-20 11:06:47	ga_ls5t_ard_3-0-0_110073_2009-04-20_final
2009-09-13 10:55:40	ga_ls5t_ard_3-0-0_108070_2009-09-13_final
2010-09-01 10:00:12	ga_ls5t_ard_3-0-0_099069_2010-09-01_final
2011-01-23 10:03:27	ga_ls5t_ard_3-0-0_099078_2011-01-23_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