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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
1987-10-24 09:12:00	ga_ls5t_ard_3-0-0_095067_1987-10-23_final
1987-11-25 09:12:40	ga_ls5t_ard_3-0-0_095067_1987-11-24_final
1988-06-16 09:41:42	ga_ls5t_ard_3-0-0_099072_1988-06-16_final
1988-09-08 09:15:12	ga_ls5t_ard_3-0-0_095067_1988-09-07_final
1988-09-13 09:40:30	ga_ls5t_ard_3-0-0_098084_1988-09-13_final
1988-12-19 08:42:03	ga_ls5t_ard_3-0-0_089078_1988-12-18_final
1989-05-12 10:15:12	ga_ls5t_ard_3-0-0_105068_1989-05-12_final
1989-05-19 08:45:55	ga_ls5t_ard_3-0-0_090077_1989-05-18_final
1989-07-05 11:19:35	ga_ls5t_ard_3-0-0_115077_1989-07-05_final
1989-08-01 10:59:18	ga_ls5t_ard_3-0-0_112074_1989-08-01_final
1990-04-04 10:12:48	ga_ls5t_ard_3-0-0_106068_1990-04-04_final
1990-07-12 09:04:32	ga_ls5t_ard_3-0-0_095067_1990-07-11_final
1990-11-05 08:42:19	ga_ls5t_ard_3-1-0_091075_1990-11-04_final
1990-12-09 08:31:00	ga_ls5t_ard_3-0-0_089078_1990-12-08_final
1990-12-19 10:45:11	ga_ls5t_ard_3-0-0_111073_1990-12-19_final
1991-02-02 08:38:03	ga_ls5t_ard_3-0-0_090077_1991-02-01_final
1991-03-05 11:13:09	ga_ls5t_ard_3-0-0_115077_1991-03-05_final
1992-09-19 09:06:26	ga_ls5t_ard_3-0-0_095067_1992-09-18_final
1993-01-05 09:34:38	ga_ls5t_ard_3-0-0_099077_1993-01-05_final
1993-08-26 09:29:43	ga_ls5t_ard_3-0-0_098078_1993-08-25_final
1995-03-11 09:04:35	ga_ls5t_ard_3-0-0_096076_1995-03-10_final
1997-01-08 10:23:31	ga_ls5t_ard_3-0-0_107071_1997-01-08_final
1997-05-28 09:13:13	ga_ls5t_ard_3-0-0_095067_1997-05-27_final
1997-09-01 09:16:24	ga_ls5t_ard_3-0-0_095067_1997-08-31_final
1999-02-07 09:53:04	ga_ls5t_ard_3-0-0_099079_1999-02-07_final
1999-07-17 09:51:39	ga_ls5t_ard_3-0-0_099079_1999-07-17_final
2003-08-14 10:32:55	ga_ls5t_ard_3-0-0_106076_2003-08-14_final
2003-08-30 10:33:13	ga_ls5t_ard_3-0-0_106076_2003-08-30_final
2003-10-13 10:57:46	ga_ls5t_ard_3-0-0_110074_2003-10-13_final
2004-01-12 10:40:32	ga_ls5t_ard_3-0-0_107075_2004-01-12_final
2004-04-24 10:47:29	ga_ls5t_ard_3-0-0_108074_2004-04-24_final
2004-05-18 09:57:32	ga_ls5t_ard_3-0-0_100071_2004-05-18_final
2004-08-11 10:22:19	ga_ls5t_ard_3-0-0_103081_2004-08-11_final
2005-11-23 09:06:04	ga_ls5t_ard_3-0-0_090077_2005-11-22_final
2006-10-24 11:46:38	ga_ls5t_ard_3-0-0_115078_2006-10-24_final
2007-01-22 10:43:56	ga_ls5t_ard_3-0-0_105074_2007-01-22_final
2007-02-07 10:44:46	ga_ls5t_ard_3-0-0_105076_2007-02-07_final
2007-04-03 10:47:39	ga_ls5t_ard_3-0-0_106068_2007-04-03_final
2007-06-16 09:47:01	ga_ls5t_ard_3-0-0_096073_2007-06-16_final
2009-01-05 11:10:05	ga_ls5t_ard_3-0-0_111072_2009-01-05_final
2009-02-10 09:14:36	ga_ls5t_ard_3-1-0_091090_2009-02-09_final
2010-06-17 09:35:02	ga_ls5t_ard_3-0-0_095067_2010-06-17_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

All years