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
1987-05-28 10:33:41	ga_ls5t_ard_3-1-0_108079_1987-05-28_final
1988-01-24 09:43:09	ga_ls5t_ard_3-0-0_099079_1988-01-24_final
1988-03-28 11:22:26	ga_ls5t_ard_3-0-0_115078_1988-03-28_final
1988-04-12 08:55:58	ga_ls5t_ard_3-0-0_092067_1988-04-11_final
1988-10-16 08:42:40	ga_ls5t_ard_3-0-0_089079_1988-10-15_final
1989-01-20 10:16:36	ga_ls5t_ard_3-0-0_105068_1989-01-20_final
1989-09-20 10:48:28	ga_ls5t_ard_3-0-0_110081_1989-09-20_final
1989-09-24 08:43:14	ga_ls5t_ard_3-0-0_090077_1989-09-23_final
1989-11-05 09:21:13	ga_ls5t_ard_3-0-0_096082_1989-11-04_final
1990-12-15 09:29:43	ga_ls5t_ard_3-0-0_099070_1990-12-14_final
1993-10-24 10:47:49	ga_ls5t_ard_3-0-0_111073_1993-10-24_final
1993-12-02 09:12:28	ga_ls5t_ard_3-0-0_096067_1993-12-01_final
1994-06-02 08:36:42	ga_ls5t_ard_3-0-0_090077_1994-06-01_final
1995-02-21 09:18:27	ga_ls5t_ard_3-0-0_098078_1995-02-20_final
1995-04-21 08:55:30	ga_ls5t_ard_3-0-0_095073_1995-04-20_final
1995-05-18 10:15:26	ga_ls5t_ard_3-0-0_108075_1995-05-18_final
1995-08-22 10:13:28	ga_ls5t_ard_3-0-0_108081_1995-08-22_final
1995-10-27 09:57:17	ga_ls5t_ard_3-0-0_106080_1995-10-27_final
1996-02-12 10:25:31	ga_ls5t_ard_3-0-0_110075_1996-02-12_final
1996-11-11 09:43:41	ga_ls5t_ard_3-0-0_101071_1996-11-11_final
1996-12-12 10:45:34	ga_ls5t_ard_3-0-0_110083_1996-12-12_final
1997-03-05 11:16:59	ga_ls5t_ard_3-0-0_115075_1997-03-05_final
1997-03-09 10:51:37	ga_ls5t_ard_3-0-0_111073_1997-03-09_final
1997-06-03 10:19:13	ga_ls5t_ard_3-0-0_105077_1997-06-03_final
1998-04-08 09:10:45	ga_ls5t_ard_3-0-0_092087_1998-04-07_final
1998-04-25 09:46:38	ga_ls5t_ard_3-0-0_099068_1998-04-25_final
1998-11-24 10:07:06	ga_ls5t_ard_3-0-0_102068_1998-11-24_final
1998-12-03 10:04:26	ga_ls5t_ard_3-0-0_101077_1998-12-03_final
1999-11-16 10:22:16	ga_ls5t_ard_3-0-0_105068_1999-11-16_final
2003-08-26 09:21:22	ga_ls5t_ard_3-0-0_094082_2003-08-25_final
2003-12-02 10:46:03	ga_ls5t_ard_3-0-0_108074_2003-12-02_final
2003-12-07 11:04:36	ga_ls5t_ard_3-0-0_111074_2003-12-07_final
2004-05-26 10:48:23	ga_ls5t_ard_3-0-0_108074_2004-05-26_final
2004-09-16 11:36:16	ga_ls5t_ard_3-0-0_115078_2004-09-16_final
2005-01-10 09:30:26	ga_ls5t_ard_3-0-0_095067_2005-01-10_final
2005-02-17 09:01:07	ga_ls5t_ard_3-0-0_089085_2005-02-16_final
2005-05-29 09:16:53	ga_ls5t_ard_3-0-0_092076_2005-05-28_final
2005-06-14 10:53:30	ga_ls5t_ard_3-0-0_108070_2005-06-14_final
2006-03-08 09:02:41	ga_ls5t_ard_3-0-0_089078_2006-03-07_final
2006-04-15 10:02:00	ga_ls5t_ard_3-0-0_099070_2006-04-15_final
2006-04-23 10:56:46	ga_ls5t_ard_3-0-0_107083_2006-04-23_final
2006-06-28 10:42:35	ga_ls5t_ard_3-0-0_105076_2006-06-28_final
2006-09-10 11:22:13	ga_ls5t_ard_3-0-0_111080_2006-09-10_final
2006-10-25 09:16:07	ga_ls5t_ard_3-0-0_090088_2006-10-24_final
2006-11-07 10:20:14	ga_ls5t_ard_3-0-0_101078_2006-11-07_final
2007-02-28 11:03:42	ga_ls5t_ard_3-0-0_108077_2007-02-28_final
2007-05-18 10:22:22	ga_ls5t_ard_3-0-0_101083_2007-05-18_final
2007-05-21 09:11:57	ga_ls5t_ard_3-0-0_090077_2007-05-20_final
2008-03-01 10:13:24	ga_ls5t_ard_3-0-0_101071_2008-03-01_final
2008-03-02 09:24:32	ga_ls5t_ard_3-0-0_092088_2008-03-01_final
2008-03-07 09:36:59	ga_ls5t_ard_3-0-0_095073_2008-03-07_final
2008-05-07 10:41:32	ga_ls5t_ard_3-0-0_106068_2008-05-07_final
2008-09-21 10:34:41	ga_ls5t_ard_3-0-0_105076_2008-09-21_final
2009-09-14 10:04:03	ga_ls5t_ard_3-0-0_099080_2009-09-14_final
2009-11-29 10:25:55	ga_ls5t_ard_3-0-0_103071_2009-11-29_final
2011-03-12 10:03:02	ga_ls5t_ard_3-0-0_099077_2011-03-12_final
2011-08-09 11:05:24	ga_ls5t_ard_3-0-0_109081_2011-08-09_final
2011-10-26 09:39:55	ga_ls5t_ard_3-0-0_095086_2011-10-26_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