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

60 results

Time (local)	Label
1988-02-22 09:07:56	ga_ls5t_ard_3-0-0_094067_1988-02-21_final
1988-03-28 09:39:33	ga_ls5t_ard_3-0-0_099068_1988-03-28_final
1988-06-17 08:49:41	ga_ls5t_ard_3-0-0_090081_1988-06-16_final
1988-08-02 09:00:35	ga_ls5t_ard_3-0-0_092077_1988-08-01_final
1989-03-12 10:52:32	ga_ls5t_ard_3-0-0_110082_1989-03-12_final
1989-12-03 09:42:19	ga_ls5t_ard_3-0-0_100075_1989-12-03_final
1990-07-22 09:47:56	ga_ls5t_ard_3-1-0_101083_1990-07-22_final
1990-08-15 08:58:00	ga_ls5t_ard_3-0-0_093082_1990-08-14_final
1990-08-20 09:17:43	ga_ls5t_ard_3-0-0_096085_1990-08-19_final
1990-09-12 09:21:24	ga_ls5t_ard_3-0-0_097079_1990-09-11_final
1991-01-12 09:55:11	ga_ls5t_ard_3-0-0_103070_1991-01-12_final
1991-03-29 10:26:31	ga_ls5t_ard_3-0-0_107083_1991-03-29_final
1991-04-03 10:41:57	ga_ls5t_ard_3-0-0_110075_1991-04-03_final
1991-05-28 10:48:20	ga_ls5t_ard_3-0-0_111073_1991-05-28_final
1991-06-25 09:36:10	ga_ls5t_ard_3-0-0_099077_1991-06-25_final
1991-08-12 09:32:39	ga_ls5t_ard_3-0-0_099067_1991-08-12_final
1991-08-29 10:22:02	ga_ls5t_ard_3-0-0_106082_1991-08-29_final
1991-09-10 10:47:45	ga_ls5t_ard_3-0-0_110084_1991-09-10_final
1991-09-19 10:38:04	ga_ls5t_ard_3-0-0_109075_1991-09-19_final
1992-02-05 10:19:01	ga_ls5t_ard_3-0-0_106073_1992-02-05_final
1992-11-03 10:14:51	ga_ls5t_ard_3-0-0_106070_1992-11-03_final
1993-01-04 10:27:27	ga_ls5t_ard_3-0-0_108070_1993-01-04_final
1993-04-22 09:20:34	ga_ls5t_ard_3-0-0_096086_1993-04-21_final
1993-05-31 09:22:07	ga_ls5t_ard_3-0-0_097074_1993-05-30_final
1993-07-07 09:42:06	ga_ls5t_ard_3-0-0_100078_1993-07-07_final
1994-04-08 08:32:19	ga_ls5t_ard_3-0-0_089079_1994-04-07_final
1994-12-17 09:32:54	ga_ls5t_ard_3-0-0_100077_1994-12-17_final
1995-02-14 10:47:03	ga_ls5t_ard_3-0-0_113067_1995-02-14_final
1995-07-16 08:16:54	ga_ls5t_ard_3-0-0_089079_1995-07-15_final
1996-02-16 08:24:35	ga_ls5t_ard_3-0-0_090081_1996-02-15_final
1996-04-07 10:32:05	ga_ls5t_ard_3-0-0_111067_1996-04-07_final
1996-12-31 09:36:30	ga_ls5t_ard_3-0-0_099078_1996-12-31_final
1997-01-08 10:27:55	ga_ls5t_ard_3-0-0_107082_1997-01-08_final
1997-10-16 10:27:14	ga_ls5t_ard_3-0-0_106071_1997-10-16_final
1998-01-11 10:39:57	ga_ls5t_ard_3-0-0_107082_1998-01-11_final
1998-04-13 09:23:46	ga_ls5t_ard_3-0-0_095073_1998-04-12_final
1998-06-05 11:23:59	ga_ls5t_ard_3-0-0_114078_1998-06-05_final
1998-10-08 10:52:57	ga_ls5t_ard_3-0-0_109075_1998-10-08_final
1998-10-15 09:17:02	ga_ls5t_ard_3-0-0_094067_1998-10-14_final
1998-10-28 10:27:52	ga_ls5t_ard_3-0-0_105074_1998-10-28_final
1999-04-16 11:04:25	ga_ls5t_ard_3-0-0_111073_1999-04-16_final
1999-10-31 10:25:40	ga_ls5t_ard_3-0-0_105075_1999-10-31_final
1999-11-10 11:01:36	ga_ls5t_ard_3-0-0_111073_1999-11-10_final
2003-10-25 09:47:22	ga_ls5t_ard_3-0-0_098083_2003-10-25_final
2004-03-14 10:52:49	ga_ls5t_ard_3-0-0_109074_2004-03-14_final
2004-03-20 10:18:33	ga_ls5t_ard_3-0-0_103081_2004-03-20_final
2004-08-14 10:48:55	ga_ls5t_ard_3-0-0_108070_2004-08-14_final
2005-01-07 10:41:59	ga_ls5t_ard_3-0-0_106076_2005-01-07_final
2005-10-16 09:46:13	ga_ls5t_ard_3-0-0_096086_2005-10-16_final
2005-11-03 09:26:19	ga_ls5t_ard_3-0-0_094067_2005-11-02_final
2006-08-02 11:13:33	ga_ls5t_ard_3-0-0_110075_2006-08-02_final
2006-08-28 10:12:53	ga_ls5t_ard_3-0-0_100077_2006-08-28_final
2006-11-01 10:56:04	ga_ls5t_ard_3-0-0_107075_2006-11-01_final
2007-08-25 09:10:46	ga_ls5t_ard_3-0-0_090077_2007-08-24_final
2007-09-03 09:06:54	ga_ls5t_ard_3-0-0_089083_2007-09-02_final
2007-09-08 11:00:42	ga_ls5t_ard_3-0-0_108074_2007-09-08_final
2008-01-24 09:59:05	ga_ls5t_ard_3-0-0_098080_2008-01-24_final
2008-12-06 10:59:40	ga_ls5t_ard_3-0-0_109079_2008-12-06_final
2009-03-05 10:53:51	ga_ls5t_ard_3-0-0_108074_2009-03-05_final
2011-03-18 09:28:18	ga_ls5t_ard_3-0-0_093083_2011-03-17_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

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