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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
1987-10-10 09:07:00	ga_ls5t_ard_3-0-0_093086_1987-10-09_final
1988-02-09 11:20:44	ga_ls5t_ard_3-0-0_115075_1988-02-09_final
1988-05-25 08:42:10	ga_ls5t_ard_3-0-0_089078_1988-05-24_final
1988-09-05 10:25:11	ga_ls5t_ard_3-0-0_106072_1988-09-05_final
1988-10-04 09:55:44	ga_ls5t_ard_3-0-0_101076_1988-10-04_final
1989-07-04 09:01:51	ga_ls5t_ard_3-0-0_092088_1989-07-03_final
1989-08-07 08:48:00	ga_ls5t_ard_3-0-0_090086_1989-08-06_final
1991-04-26 10:47:44	ga_ls5t_ard_3-0-0_111073_1991-04-26_final
1991-05-19 10:51:57	ga_ls5t_ard_3-1-0_112067_1991-05-19_final
1991-09-17 10:49:37	ga_ls5t_ard_3-0-0_111073_1991-09-17_final
1992-06-10 08:57:18	ga_ls5t_ard_3-0-0_092087_1992-06-09_final
1992-07-10 09:09:16	ga_ls5t_ard_3-0-0_094087_1992-07-09_final
1992-12-11 09:38:10	ga_ls5t_ard_3-0-0_100071_1992-12-11_final
1993-04-26 10:31:58	ga_ls5t_ard_3-0-0_108079_1993-04-26_final
1993-11-05 09:35:58	ga_ls5t_ard_3-0-0_099079_1993-11-05_final
1994-12-12 09:15:19	ga_ls5t_ard_3-0-0_097079_1994-12-11_final
1995-05-16 08:53:24	ga_ls5t_ard_3-0-0_094086_1995-05-15_final
1995-11-20 09:07:20	ga_ls5t_ard_3-0-0_098079_1995-11-19_final
1995-11-24 08:45:32	ga_ls5t_ard_3-0-0_094086_1995-11-23_final
1996-04-23 10:38:15	ga_ls5t_ard_3-0-0_111080_1996-04-23_final
1996-05-30 09:18:51	ga_ls5t_ard_3-0-0_098077_1996-05-29_final
1996-09-25 10:24:12	ga_ls5t_ard_3-0-0_108070_1996-09-25_final
1996-11-30 08:43:23	ga_ls5t_ard_3-0-0_090088_1996-11-29_final
1997-09-03 10:45:47	ga_ls5t_ard_3-0-0_109074_1997-09-03_final
1999-08-27 09:47:05	ga_ls5t_ard_3-0-0_098084_1999-08-27_final
1999-09-27 09:01:23	ga_ls5t_ard_3-1-0_091080_1999-09-26_final
2004-08-28 11:04:27	ga_ls5t_ard_3-0-0_110077_2004-08-28_final
2004-09-06 10:57:19	ga_ls5t_ard_3-0-0_109074_2004-09-06_final
2004-09-07 10:00:55	ga_ls5t_ard_3-0-0_100072_2004-09-07_final
2004-12-30 11:32:08	ga_ls5t_ard_3-0-0_114078_2004-12-30_final
2005-01-20 10:12:04	ga_ls5t_ard_3-0-0_101078_2005-01-20_final
2005-04-21 09:54:28	ga_ls5t_ard_3-0-0_098078_2005-04-21_final
2005-09-28 11:33:56	ga_ls5t_ard_3-0-0_114077_2005-09-28_final
2006-02-20 10:37:15	ga_ls5t_ard_3-0-0_105068_2006-02-20_final
2006-04-03 11:17:33	ga_ls5t_ard_3-0-0_111074_2006-04-03_final
2006-08-07 11:31:46	ga_ls5t_ard_3-0-0_113074_2006-08-07_final
2007-02-10 11:15:41	ga_ls5t_ard_3-0-0_110076_2007-02-10_final
2007-06-15 10:43:51	ga_ls5t_ard_3-0-0_105076_2007-06-15_final
2008-12-17 09:06:34	ga_ls5t_ard_3-0-0_090089_2008-12-16_final
2009-10-07 10:11:42	ga_ls5t_ard_3-0-0_100083_2009-10-07_final
2010-02-08 10:36:30	ga_ls5t_ard_3-0-0_104081_2010-02-08_final
2010-02-09 11:16:35	ga_ls5t_ard_3-0-0_111073_2010-02-09_final
2010-05-06 09:04:07	ga_ls5t_ard_3-0-0_089082_2010-05-05_final
2011-06-13 11:10:28	ga_ls5t_ard_3-0-0_110077_2011-06-13_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