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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
1988-02-26 10:24:08	ga_ls5t_ard_3-0-0_106072_1988-02-26_final
1988-03-03 09:48:42	ga_ls5t_ard_3-0-0_100076_1988-03-03_final
1988-07-06 10:59:09	ga_ls5t_ard_3-0-0_111080_1988-07-06_final
1988-08-21 09:31:30	ga_ls5t_ard_3-0-0_097077_1988-08-21_final
1989-01-19 09:33:46	ga_ls5t_ard_3-0-0_098069_1989-01-19_final
1989-11-07 09:08:24	ga_ls5t_ard_3-0-0_094081_1989-11-06_final
1989-11-16 10:37:52	ga_ls5t_ard_3-0-0_109074_1989-11-16_final
1990-07-15 09:38:36	ga_ls5t_ard_3-0-0_100075_1990-07-15_final
1990-08-23 09:47:47	ga_ls5t_ard_3-1-0_101083_1990-08-23_final
1991-04-17 09:15:20	ga_ls5t_ard_3-0-0_096074_1991-04-16_final
1991-05-31 09:42:22	ga_ls5t_ard_3-0-0_100078_1991-05-31_final
1991-11-16 11:17:01	ga_ls5t_ard_3-0-0_115079_1991-11-16_final
1991-11-24 08:48:43	ga_ls5t_ard_3-0-0_091079_1991-11-23_final
1992-03-29 10:39:23	ga_ls5t_ard_3-0-0_109078_1992-03-29_final
1992-12-14 08:34:11	ga_ls5t_ard_3-0-0_089081_1992-12-13_final
1993-07-20 10:46:05	ga_ls5t_ard_3-0-0_111068_1993-07-20_final
1994-04-03 09:53:57	ga_ls5t_ard_3-0-0_102082_1994-04-03_final
1995-07-26 08:48:45	ga_ls5t_ard_3-0-0_095067_1995-07-25_final
1998-06-15 10:18:18	ga_ls5t_ard_3-0-0_104068_1998-06-15_final
1999-06-14 10:47:30	ga_ls5t_ard_3-0-0_108079_1999-06-14_final
1999-08-02 09:48:50	ga_ls5t_ard_3-0-0_099072_1999-08-02_final
1999-08-08 10:52:12	ga_ls5t_ard_3-0-0_109076_1999-08-08_final
2003-08-13 09:51:13	ga_ls5t_ard_3-0-0_099080_2003-08-13_final
2003-10-16 09:49:01	ga_ls5t_ard_3-0-0_099072_2003-10-16_final
2003-11-11 08:52:41	ga_ls5t_ard_3-0-0_089085_2003-11-10_final
2004-02-22 10:31:45	ga_ls5t_ard_3-0-0_106068_2004-02-22_final
2004-08-15 11:34:12	ga_ls5t_ard_3-0-0_115075_2004-08-15_final
2004-10-06 11:10:46	ga_ls5t_ard_3-0-0_111075_2004-10-06_final
2005-03-21 08:59:07	ga_ls5t_ard_3-0-0_089079_2005-03-20_final
2005-04-04 09:12:21	ga_ls5t_ard_3-0-0_091081_2005-04-03_final
2005-09-03 09:58:50	ga_ls5t_ard_3-0-0_099071_2005-09-03_final
2006-04-16 10:44:29	ga_ls5t_ard_3-0-0_106068_2006-04-16_final
2007-01-28 10:04:29	ga_ls5t_ard_3-0-0_099068_2007-01-28_final
2007-02-07 09:07:29	ga_ls5t_ard_3-0-0_089080_2007-02-06_final
2007-06-18 11:14:18	ga_ls5t_ard_3-0-0_110075_2007-06-18_final
2007-06-21 10:08:15	ga_ls5t_ard_3-0-0_099080_2007-06-21_final
2007-08-22 10:16:23	ga_ls5t_ard_3-0-0_101071_2007-08-22_final
2008-04-04 11:40:48	ga_ls5t_ard_3-0-0_115075_2008-04-04_final
2009-02-13 09:43:59	ga_ls5t_ard_3-0-0_096086_2009-02-13_final
2010-02-16 09:43:06	ga_ls5t_ard_3-0-0_096071_2010-02-16_final
2010-02-19 10:16:24	ga_ls5t_ard_3-0-0_101077_2010-02-19_final
2010-04-11 09:08:24	ga_ls5t_ard_3-0-0_090077_2010-04-10_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