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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

42 results

Time (local)	Label
1987-10-08 09:11:44	ga_ls5t_ard_3-0-0_095067_1987-10-07_final
1987-10-20 09:37:04	ga_ls5t_ard_3-0-0_099068_1987-10-20_final
1988-01-05 09:09:54	ga_ls5t_ard_3-0-0_094074_1988-01-04_final
1988-01-18 08:42:50	ga_ls5t_ard_3-0-0_089083_1988-01-17_final
1988-01-28 09:13:43	ga_ls5t_ard_3-0-0_095067_1988-01-27_final
1988-04-13 09:44:01	ga_ls5t_ard_3-0-0_099079_1988-04-13_final
1989-08-22 09:40:05	ga_ls5t_ard_3-0-0_099078_1989-08-22_final
1990-04-19 09:34:09	ga_ls5t_ard_3-0-0_099079_1990-04-19_final
1990-09-26 11:10:56	ga_ls5t_ard_3-0-0_115075_1990-09-26_final
1990-10-12 11:10:25	ga_ls5t_ard_3-0-0_115074_1990-10-12_final
1991-04-16 10:10:57	ga_ls5t_ard_3-0-0_105074_1991-04-16_final
1991-09-03 08:55:48	ga_ls5t_ard_3-1-0_093067_1991-09-02_final
1991-12-23 09:57:35	ga_ls5t_ard_3-0-0_102081_1991-12-23_final
1993-03-12 11:00:37	ga_ls5t_ard_3-0-0_113074_1993-03-12_final
1994-12-20 10:00:31	ga_ls5t_ard_3-0-0_105069_1994-12-20_final
1995-04-01 09:19:52	ga_ls5t_ard_3-0-0_099070_1995-03-31_final
1995-04-15 09:34:27	ga_ls5t_ard_3-0-0_101077_1995-04-15_final
1995-09-18 09:50:01	ga_ls5t_ard_3-0-0_105072_1995-09-18_final
1996-06-25 08:20:03	ga_ls5t_ard_3-1-0_088081_1996-06-24_final
1997-04-03 09:07:54	ga_ls5t_ard_3-0-0_094074_1997-04-02_final
1997-05-24 11:20:41	ga_ls5t_ard_3-0-0_115077_1997-05-24_final
1998-09-16 09:49:06	ga_ls5t_ard_3-0-0_099070_1998-09-16_final
1999-02-24 10:32:02	ga_ls5t_ard_3-0-0_106068_1999-02-24_final
1999-08-10 10:39:02	ga_ls5t_ard_3-0-0_107074_1999-08-10_final
1999-12-21 10:54:12	ga_ls5t_ard_3-0-0_110072_1999-12-21_final
2003-10-02 11:16:10	ga_ls5t_ard_3-0-0_113074_2003-10-02_final
2004-01-16 10:14:12	ga_ls5t_ard_3-0-0_103071_2004-01-16_final
2004-04-25 09:49:53	ga_ls5t_ard_3-0-0_099069_2004-04-25_final
2005-02-18 11:22:29	ga_ls5t_ard_3-0-0_112083_2005-02-18_final
2005-02-24 09:04:12	ga_ls5t_ard_3-0-0_090077_2005-02-23_final
2005-10-15 09:04:33	ga_ls5t_ard_3-1-0_089090_2005-10-14_final
2006-04-15 11:44:05	ga_ls5t_ard_3-0-0_115078_2006-04-15_final
2006-05-17 10:01:40	ga_ls5t_ard_3-0-0_099068_2006-05-17_final
2007-03-22 10:22:59	ga_ls5t_ard_3-0-0_102068_2007-03-22_final
2007-08-03 09:49:40	ga_ls5t_ard_3-0-0_096081_2007-08-03_final
2008-02-04 11:16:04	ga_ls5t_ard_3-0-0_111072_2008-02-04_final
2008-12-26 08:57:51	ga_ls5t_ard_3-0-0_089082_2008-12-25_final
2009-02-16 10:11:22	ga_ls5t_ard_3-0-0_101077_2009-02-16_final
2009-02-18 09:59:51	ga_ls5t_ard_3-0-0_099079_2009-02-18_final
2009-11-01 10:04:10	ga_ls5t_ard_3-0-0_099079_2009-11-01_final
2010-02-23 09:50:30	ga_ls5t_ard_3-0-0_097074_2010-02-23_final
2011-08-07 09:35:43	ga_ls5t_ard_3-0-0_095073_2011-08-07_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