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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

63 results

Time (local)	Label
1987-09-11 09:36:53	ga_ls5t_ard_3-0-0_098085_1987-09-11_final
1987-10-31 11:00:00	ga_ls5t_ard_3-0-0_112074_1987-10-31_final
1988-06-08 08:59:00	ga_ls5t_ard_3-0-0_091089_1988-06-07_final
1988-07-25 09:48:02	ga_ls5t_ard_3-0-0_100072_1988-07-25_final
1988-08-03 09:44:39	ga_ls5t_ard_3-0-0_099079_1988-08-03_final
1988-11-15 10:30:45	ga_ls5t_ard_3-0-0_107071_1988-11-15_final
1988-12-20 10:59:48	ga_ls5t_ard_3-1-0_112067_1988-12-20_final
1989-04-23 09:45:47	ga_ls5t_ard_3-0-0_100071_1989-04-23_final
1990-04-15 09:57:40	ga_ls5t_ard_3-0-0_103076_1990-04-15_final
1990-04-21 09:22:36	ga_ls5t_ard_3-0-0_097081_1990-04-20_final
1990-07-05 10:39:38	ga_ls5t_ard_3-0-0_110073_1990-07-05_final
1990-08-14 09:53:14	ga_ls5t_ard_3-0-0_102081_1990-08-14_final
1991-01-04 10:45:13	ga_ls5t_ard_3-1-0_111072_1991-01-04_final
1991-04-27 09:55:20	ga_ls5t_ard_3-0-0_102081_1991-04-27_final
1991-12-24 09:04:22	ga_ls5t_ard_3-0-0_093087_1991-12-23_final
1993-03-12 09:19:44	ga_ls5t_ard_3-1-0_097069_1993-03-11_final
1993-04-26 10:29:58	ga_ls5t_ard_3-0-0_108074_1993-04-26_final
1993-06-13 08:57:11	ga_ls5t_ard_3-0-0_092089_1993-06-12_final
1993-10-27 09:42:13	ga_ls5t_ard_3-0-0_100079_1993-10-27_final
1994-02-28 10:06:03	ga_ls5t_ard_3-0-0_104080_1994-02-28_final
1994-11-16 08:43:25	ga_ls5t_ard_3-0-0_091090_1994-11-15_final
1994-12-20 10:03:18	ga_ls5t_ard_3-0-0_105076_1994-12-20_final
1995-03-16 09:24:06	ga_ls5t_ard_3-0-0_099079_1995-03-15_final
1995-04-21 10:34:23	ga_ls5t_ard_3-0-0_111073_1995-04-21_final
1995-06-24 10:31:05	ga_ls5t_ard_3-0-0_111072_1995-06-24_final
1996-01-20 10:16:09	ga_ls5t_ard_3-0-0_109071_1996-01-20_final
1996-11-24 09:14:10	ga_ls5t_ard_3-0-0_096073_1996-11-23_final
1996-12-18 10:08:22	ga_ls5t_ard_3-0-0_104082_1996-12-18_final
1997-02-10 09:32:34	ga_ls5t_ard_3-0-0_098079_1997-02-10_final
1997-02-12 09:17:06	ga_ls5t_ard_3-0-0_096071_1997-02-11_final
1997-06-14 10:02:39	ga_ls5t_ard_3-0-0_102081_1997-06-14_final
1997-10-07 10:34:47	ga_ls5t_ard_3-0-0_107075_1997-10-07_final
1997-11-09 09:41:38	ga_ls5t_ard_3-0-0_098079_1997-11-09_final
1998-04-15 10:51:06	ga_ls5t_ard_3-0-0_109075_1998-04-15_final
1998-10-12 10:28:13	ga_ls5t_ard_3-0-0_105075_1998-10-12_final
1998-11-08 10:12:13	ga_ls5t_ard_3-0-0_102081_1998-11-08_final
1999-07-18 08:58:49	ga_ls5t_ard_3-0-0_090086_1999-07-17_final
1999-07-23 10:52:15	ga_ls5t_ard_3-0-0_109076_1999-07-23_final
2003-08-19 10:50:21	ga_ls5t_ard_3-0-0_109073_2003-08-19_final
2004-01-19 10:48:43	ga_ls5t_ard_3-0-0_108080_2004-01-19_final
2004-03-30 10:52:52	ga_ls5t_ard_3-0-0_109074_2004-03-30_final
2004-05-19 10:42:25	ga_ls5t_ard_3-0-0_107075_2004-05-19_final
2004-07-27 11:06:29	ga_ls5t_ard_3-0-0_110084_2004-07-27_final
2004-07-31 10:38:38	ga_ls5t_ard_3-0-0_106076_2004-07-31_final
2004-08-19 09:27:31	ga_ls5t_ard_3-0-0_095067_2004-08-18_final
2004-10-06 09:28:42	ga_ls5t_ard_3-1-0_095067_2004-10-05_final
2005-03-03 10:49:46	ga_ls5t_ard_3-0-0_107078_2005-03-03_final
2005-07-02 10:43:36	ga_ls5t_ard_3-0-0_106076_2005-07-02_final
2005-07-25 10:49:13	ga_ls5t_ard_3-0-0_107074_2005-07-25_final
2005-10-25 09:34:51	ga_ls5t_ard_3-0-0_095073_2005-10-25_final
2006-06-03 10:49:10	ga_ls5t_ard_3-0-0_106078_2006-06-03_final
2006-09-06 10:07:37	ga_ls5t_ard_3-0-0_099079_2006-09-06_final
2006-12-20 10:02:03	ga_ls5t_ard_3-0-0_098078_2006-12-20_final
2006-12-27 10:05:05	ga_ls5t_ard_3-0-0_099070_2006-12-27_final
2007-01-20 10:56:41	ga_ls5t_ard_3-0-0_107075_2007-01-20_final
2007-02-05 10:55:08	ga_ls5t_ard_3-0-0_107071_2007-02-05_final
2007-06-14 09:58:13	ga_ls5t_ard_3-0-0_098070_2007-06-14_final
2008-08-30 11:09:14	ga_ls5t_ard_3-1-0_111068_2008-08-30_final
2008-09-02 10:04:45	ga_ls5t_ard_3-0-0_100077_2008-09-02_final
2009-03-10 11:10:07	ga_ls5t_ard_3-1-0_111068_2009-03-10_final
2009-09-03 10:22:51	ga_ls5t_ard_3-0-0_102081_2009-09-03_final
2009-12-05 11:31:46	ga_ls5t_ard_3-1-0_113081_2009-12-05_final
2010-04-26 11:42:26	ga_ls5t_ard_3-0-0_115076_2010-04-26_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years