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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
1988-01-09 08:51:14	ga_ls5t_ard_3-0-0_090089_1988-01-08_final
1989-08-29 09:46:32	ga_ls5t_ard_3-0-0_100079_1989-08-29_final
1990-06-13 09:37:04	ga_ls5t_ard_3-0-0_100071_1990-06-13_final
1990-08-24 08:53:45	ga_ls5t_ard_3-0-0_092087_1990-08-23_final
1990-10-03 09:36:30	ga_ls5t_ard_3-0-0_100071_1990-10-03_final
1991-06-01 08:50:46	ga_ls5t_ard_3-0-0_091088_1991-05-31_final
1991-10-09 08:38:10	ga_ls5t_ard_3-0-0_089084_1991-10-08_final
1992-07-22 11:08:44	ga_ls5t_ard_3-0-0_114077_1992-07-22_final
1993-01-23 09:21:17	ga_ls5t_ard_3-0-0_097074_1993-01-22_final
1993-10-04 09:36:59	ga_ls5t_ard_3-0-0_099081_1993-10-04_final
1994-01-15 09:40:18	ga_ls5t_ard_3-0-0_100076_1994-01-15_final
1995-09-22 09:27:29	ga_ls5t_ard_3-0-0_101078_1995-09-21_final
1995-10-04 08:12:42	ga_ls5t_ard_3-0-0_089078_1995-10-03_final
1996-02-08 09:09:53	ga_ls5t_ard_3-0-0_098072_1996-02-07_final
1996-02-08 10:51:10	ga_ls5t_ard_3-0-0_114078_1996-02-08_final
1996-10-27 10:30:37	ga_ls5t_ard_3-0-0_108082_1996-10-27_final
1997-05-14 10:44:50	ga_ls5t_ard_3-0-0_109081_1997-05-14_final
1997-07-19 10:31:10	ga_ls5t_ard_3-0-0_107072_1997-07-19_final
1997-11-09 11:15:43	ga_ls5t_ard_3-0-0_114067_1997-11-09_final
1998-08-17 09:42:26	ga_ls5t_ard_3-0-0_097085_1998-08-17_final
1999-03-26 10:47:10	ga_ls5t_ard_3-0-0_108076_1999-03-26_final
1999-09-08 10:09:46	ga_ls5t_ard_3-0-0_102080_1999-09-08_final
1999-11-22 09:46:33	ga_ls5t_ard_3-0-0_099072_1999-11-22_final
2003-07-02 09:15:25	ga_ls5t_ard_3-0-0_093085_2003-07-01_final
2003-09-15 10:33:05	ga_ls5t_ard_3-0-0_106075_2003-09-15_final
2003-10-07 09:57:29	ga_ls5t_ard_3-0-0_100078_2003-10-07_final
2004-01-17 09:24:58	ga_ls5t_ard_3-0-0_094087_2004-01-16_final
2004-02-24 10:23:48	ga_ls5t_ard_3-0-0_104079_2004-02-24_final
2004-04-13 11:08:54	ga_ls5t_ard_3-0-0_111082_2004-04-13_final
2005-03-10 09:20:45	ga_ls5t_ard_3-0-0_092087_2005-03-09_final
2006-03-01 10:33:15	ga_ls5t_ard_3-1-0_104073_2006-03-01_final
2006-05-27 10:44:28	ga_ls5t_ard_3-0-0_105082_2006-05-27_final
2006-11-19 10:42:40	ga_ls5t_ard_3-0-0_105072_2006-11-19_final
2007-02-09 10:29:13	ga_ls5t_ard_3-0-0_103068_2007-02-09_final
2007-06-18 11:13:54	ga_ls5t_ard_3-0-0_110074_2007-06-18_final
2007-06-21 10:09:27	ga_ls5t_ard_3-0-0_099083_2007-06-21_final
2008-10-05 10:45:48	ga_ls5t_ard_3-0-0_107074_2008-10-05_final
2009-02-28 10:35:59	ga_ls5t_ard_3-0-0_105076_2009-02-28_final
2010-02-04 11:02:01	ga_ls5t_ard_3-0-0_108083_2010-02-04_final
2010-02-14 09:58:15	ga_ls5t_ard_3-0-0_098078_2010-02-14_final
2011-01-13 11:02:51	ga_ls5t_ard_3-0-0_109072_2011-01-13_final
2011-11-07 09:58:49	ga_ls5t_ard_3-0-0_099072_2011-11-07_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