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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

44 results

Time (local)	Label
1987-09-28 10:19:20	ga_ls5t_ard_3-0-0_105082_1987-09-28_final
1987-10-21 08:48:39	ga_ls5t_ard_3-0-0_090086_1987-10-20_final
1988-06-24 08:59:05	ga_ls5t_ard_3-0-0_091089_1988-06-23_final
1988-09-12 08:53:39	ga_ls5t_ard_3-1-0_091075_1988-09-11_final
1989-01-17 09:47:00	ga_ls5t_ard_3-0-0_100071_1989-01-17_final
1989-04-10 08:42:27	ga_ls5t_ard_3-0-0_089082_1989-04-09_final
1990-05-06 10:13:21	ga_ls5t_ard_3-0-0_106069_1990-05-06_final
1991-02-11 10:10:06	ga_ls5t_ard_3-0-0_105075_1991-02-11_final
1991-04-26 09:06:27	ga_ls5t_ard_3-0-0_095067_1991-04-25_final
1991-09-21 08:51:13	ga_ls5t_ard_3-0-0_091086_1991-09-20_final
1991-11-17 08:44:54	ga_ls5t_ard_3-0-0_090085_1991-11-16_final
1992-04-08 11:15:59	ga_ls5t_ard_3-0-0_115077_1992-04-08_final
1992-06-06 09:19:16	ga_ls5t_ard_3-0-0_096080_1992-06-05_final
1992-07-29 09:33:33	ga_ls5t_ard_3-0-0_099071_1992-07-29_final
1992-10-21 09:05:52	ga_ls5t_ard_3-0-0_095067_1992-10-20_final
1993-05-30 08:40:02	ga_ls5t_ard_3-0-0_090077_1993-05-29_final
1993-09-06 09:06:46	ga_ls5t_ard_3-0-0_095067_1993-09-05_final
1993-10-04 09:33:24	ga_ls5t_ard_3-0-0_099072_1993-10-04_final
1994-06-16 08:52:45	ga_ls5t_ard_3-0-0_092087_1994-06-15_final
1995-01-03 08:36:18	ga_ls5t_ard_3-0-0_091076_1995-01-02_final
1995-02-24 09:45:39	ga_ls5t_ard_3-0-0_103069_1995-02-24_final
1995-03-27 09:07:07	ga_ls5t_ard_3-0-0_096084_1995-03-26_final
1996-03-28 08:21:04	ga_ls5t_ard_3-0-0_089081_1996-03-27_final
1996-10-06 10:08:14	ga_ls5t_ard_3-0-0_105075_1996-10-06_final
1996-11-13 09:33:48	ga_ls5t_ard_3-0-0_099077_1996-11-13_final
1996-11-13 09:35:00	ga_ls5t_ard_3-0-0_099080_1996-11-13_final
1997-12-22 09:19:19	ga_ls5t_ard_3-0-0_095067_1997-12-21_final
1998-07-08 10:27:11	ga_ls5t_ard_3-0-0_105074_1998-07-08_final
1998-10-18 09:52:20	ga_ls5t_ard_3-0-0_099078_1998-10-18_final
1998-11-28 09:43:33	ga_ls5t_ard_3-0-0_098071_1998-11-28_final
1999-09-19 11:27:50	ga_ls5t_ard_3-0-0_115075_1999-09-19_final
2003-09-08 10:26:47	ga_ls5t_ard_3-0-0_105075_2003-09-08_final
2004-04-10 10:35:06	ga_ls5t_ard_3-0-0_106075_2004-04-10_final
2004-10-12 08:55:45	ga_ls5t_ard_3-1-0_089077_2004-10-11_final
2004-12-25 11:09:08	ga_ls5t_ard_3-0-0_111067_2004-12-25_final
2005-02-13 11:00:39	ga_ls5t_ard_3-0-0_109075_2005-02-13_final
2005-02-15 10:48:19	ga_ls5t_ard_3-0-0_107075_2005-02-15_final
2005-11-01 11:24:19	ga_ls5t_ard_3-0-0_112084_2005-11-01_final
2006-07-22 09:50:41	ga_ls5t_ard_3-0-0_097069_2006-07-22_final
2006-12-21 10:44:31	ga_ls5t_ard_3-0-0_105076_2006-12-21_final
2007-03-01 11:46:58	ga_ls5t_ard_3-0-0_115077_2007-03-01_final
2008-10-28 09:17:30	ga_ls5t_ard_3-0-0_092087_2008-10-27_final
2009-06-11 10:41:01	ga_ls5t_ard_3-0-0_106068_2009-06-11_final
2010-02-04 09:24:20	ga_ls5t_ard_3-0-0_092086_2010-02-03_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