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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

47 results

Time (local)	Label
1987-07-31 08:59:25	ga_ls5t_ard_3-0-0_092087_1987-07-30_final
1987-09-15 09:07:28	ga_ls5t_ard_3-0-0_094073_1987-09-14_final
1988-05-22 09:49:44	ga_ls5t_ard_3-0-0_100077_1988-05-22_final
1988-08-14 11:02:59	ga_ls5t_ard_3-0-0_112074_1988-08-14_final
1988-12-20 11:06:35	ga_ls5t_ard_3-0-0_112084_1988-12-20_final
1989-08-08 09:24:27	ga_ls5t_ard_3-1-0_097069_1989-08-07_final
1990-05-23 09:17:47	ga_ls5t_ard_3-1-0_097069_1990-05-22_final
1990-07-25 08:39:09	ga_ls5t_ard_3-0-0_090081_1990-07-24_final
1991-01-16 11:11:05	ga_ls5t_ard_3-0-0_115074_1991-01-16_final
1991-04-24 09:23:59	ga_ls5t_ard_3-0-0_097080_1991-04-23_final
1992-03-23 11:16:33	ga_ls5t_ard_3-0-0_115078_1992-03-23_final
1992-07-08 09:13:41	ga_ls5t_ard_3-0-0_096067_1992-07-07_final
1992-08-23 11:07:27	ga_ls5t_ard_3-0-0_114075_1992-08-23_final
1993-11-01 09:56:20	ga_ls5t_ard_3-0-0_103068_1993-11-01_final
1993-11-02 09:00:18	ga_ls5t_ard_3-0-0_094067_1993-11-01_final
1993-12-06 08:54:55	ga_ls5t_ard_3-0-0_092085_1993-12-05_final
1993-12-21 09:46:01	ga_ls5t_ard_3-0-0_101074_1993-12-21_final
1994-06-30 08:56:48	ga_ls5t_ard_3-0-0_094067_1994-06-29_final
1994-12-15 09:46:55	ga_ls5t_ard_3-0-0_102081_1994-12-15_final
1995-02-23 09:04:01	ga_ls5t_ard_3-0-0_096073_1995-02-22_final
1995-03-20 08:54:26	ga_ls5t_ard_3-0-0_095067_1995-03-19_final
1995-04-19 09:06:22	ga_ls5t_ard_3-0-0_097069_1995-04-18_final
1995-04-24 09:25:29	ga_ls5t_ard_3-0-0_100071_1995-04-23_final
1995-06-30 09:56:31	ga_ls5t_ard_3-0-0_105079_1995-06-30_final
1995-07-03 08:46:00	ga_ls5t_ard_3-0-0_094073_1995-07-02_final
1995-07-30 08:27:03	ga_ls5t_ard_3-1-0_091075_1995-07-29_final
1997-01-08 10:23:31	ga_ls5t_ard_3-0-0_107071_1997-01-08_final
1997-08-01 10:04:17	ga_ls5t_ard_3-0-0_102081_1997-08-01_final
1997-12-31 09:13:22	ga_ls5t_ard_3-0-0_094067_1997-12-30_final
1998-07-04 09:15:45	ga_ls5t_ard_3-0-0_093081_1998-07-03_final
1998-08-01 11:20:23	ga_ls5t_ard_3-0-0_113083_1998-08-01_final
1999-01-31 09:44:00	ga_ls5t_ard_3-0-0_098072_1999-01-31_final
1999-02-17 08:51:22	ga_ls5t_ard_3-0-0_089079_1999-02-16_final
1999-12-21 09:13:20	ga_ls5t_ard_3-0-0_094067_1999-12-20_final
2004-07-06 09:10:56	ga_ls5t_ard_3-0-0_091090_2004-07-05_final
2005-03-27 11:39:27	ga_ls5t_ard_3-0-0_115078_2005-03-27_final
2005-05-07 09:54:59	ga_ls5t_ard_3-0-0_098079_2005-05-07_final
2005-05-28 10:15:17	ga_ls5t_ard_3-0-0_101083_2005-05-28_final
2005-10-18 09:26:16	ga_ls5t_ard_3-0-0_094067_2005-10-17_final
2005-11-05 10:55:16	ga_ls5t_ard_3-0-0_108073_2005-11-05_final
2006-02-10 10:03:56	ga_ls5t_ard_3-0-0_099078_2006-02-10_final
2006-05-31 10:18:13	ga_ls5t_ard_3-0-0_101078_2006-05-31_final
2007-01-28 10:04:04	ga_ls5t_ard_3-0-0_099067_2007-01-28_final
2008-09-08 09:23:30	ga_ls5t_ard_3-0-0_094067_2008-09-07_final
2009-11-30 09:28:42	ga_ls5t_ard_3-0-0_094067_2009-11-29_final
2009-12-16 09:28:51	ga_ls5t_ard_3-0-0_094067_2009-12-15_final
2010-12-12 09:29:03	ga_ls5t_ard_3-0-0_093085_2010-12-11_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