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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
1987-10-17 09:05:43	ga_ls5t_ard_3-0-0_094067_1987-10-16_final
1987-11-11 09:07:37	ga_ls5t_ard_3-0-0_093086_1987-11-10_final
1988-03-24 10:09:26	ga_ls5t_ard_3-0-0_103081_1988-03-24_final
1988-08-03 09:44:15	ga_ls5t_ard_3-0-0_099078_1988-08-03_final
1990-06-24 09:17:44	ga_ls5t_ard_3-1-0_097069_1990-06-23_final
1990-07-23 08:54:18	ga_ls5t_ard_3-0-0_092088_1990-07-22_final
1990-09-09 10:27:23	ga_ls5t_ard_3-0-0_108074_1990-09-09_final
1990-11-26 08:57:33	ga_ls5t_ard_3-0-0_094067_1990-11-25_final
1990-12-18 08:26:36	ga_ls5t_ard_3-0-0_088082_1990-12-17_final
1991-03-21 09:31:51	ga_ls5t_ard_3-0-0_099070_1991-03-21_final
1991-09-10 09:02:05	ga_ls5t_ard_3-0-0_094067_1991-09-09_final
1992-05-07 09:01:58	ga_ls5t_ard_3-0-0_094067_1992-05-06_final
1992-07-24 09:13:28	ga_ls5t_ard_3-0-0_096067_1992-07-23_final
1992-09-03 09:06:41	ga_ls5t_ard_3-0-0_095067_1992-09-02_final
1993-04-08 09:00:28	ga_ls5t_ard_3-0-0_094067_1993-04-07_final
1993-07-02 09:23:08	ga_ls5t_ard_3-0-0_097077_1993-07-01_final
1994-04-27 08:58:05	ga_ls5t_ard_3-0-0_094067_1994-04-26_final
1994-11-10 10:55:36	ga_ls5t_ard_3-0-0_113080_1994-11-10_final
1995-01-08 08:51:05	ga_ls5t_ard_3-0-0_094067_1995-01-07_final
1995-04-28 09:06:35	ga_ls5t_ard_3-0-0_096086_1995-04-27_final
1995-09-05 08:40:41	ga_ls5t_ard_3-0-0_094067_1995-09-04_final
1997-09-06 09:41:05	ga_ls5t_ard_3-0-0_098082_1997-09-06_final
1997-10-28 09:11:49	ga_ls5t_ard_3-0-0_094067_1997-10-27_final
1998-03-08 09:49:59	ga_ls5t_ard_3-0-0_099078_1998-03-08_final
1998-09-16 11:31:10	ga_ls5t_ard_3-0-0_115078_1998-09-16_final
1999-02-08 10:32:45	ga_ls5t_ard_3-0-0_106070_1999-02-08_final
1999-06-07 10:42:57	ga_ls5t_ard_3-0-0_107083_1999-06-07_final
1999-09-07 11:01:51	ga_ls5t_ard_3-1-0_111071_1999-09-07_final
2003-10-29 09:16:16	ga_ls5t_ard_3-0-0_094067_2003-10-28_final
2004-01-17 09:16:59	ga_ls5t_ard_3-0-0_094067_2004-01-16_final
2004-03-01 09:48:44	ga_ls5t_ard_3-0-0_098084_2004-03-01_final
2004-10-29 09:38:34	ga_ls5t_ard_3-0-0_096075_2004-10-29_final
2004-10-29 09:39:21	ga_ls5t_ard_3-0-0_096077_2004-10-29_final
2005-06-28 09:25:50	ga_ls5t_ard_3-0-0_094067_2005-06-27_final
2005-09-17 10:12:49	ga_ls5t_ard_3-0-0_101075_2005-09-17_final
2006-01-29 11:19:49	ga_ls5t_ard_3-0-0_111083_2006-01-29_final
2006-04-12 11:15:08	ga_ls5t_ard_3-0-0_110083_2006-04-12_final
2008-03-01 10:15:47	ga_ls5t_ard_3-0-0_101077_2008-03-01_final
2008-04-25 10:19:32	ga_ls5t_ard_3-0-0_102074_2008-04-25_final
2009-01-01 11:36:18	ga_ls5t_ard_3-0-0_115076_2009-01-01_final
2009-05-25 09:58:39	ga_ls5t_ard_3-0-0_099071_2009-05-25_final
2010-01-19 09:25:03	ga_ls5t_ard_3-0-0_092088_2010-01-18_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