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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

51 results

Time (local)	Label
1987-09-16 09:52:21	ga_ls5t_ard_3-0-0_101077_1987-09-16_final
1987-12-20 09:09:38	ga_ls5t_ard_3-0-0_094074_1987-12-19_final
1988-01-04 10:08:18	ga_ls5t_ard_3-0-0_103081_1988-01-04_final
1988-04-23 08:41:53	ga_ls5t_ard_3-0-0_089078_1988-04-22_final
1989-07-26 10:00:25	ga_ls5t_ard_3-0-0_102081_1989-07-26_final
1989-08-23 08:47:39	ga_ls5t_ard_3-0-0_090086_1989-08-22_final
1989-08-25 08:32:50	ga_ls5t_ard_3-1-0_088080_1989-08-24_final
1989-11-18 08:48:10	ga_ls5t_ard_3-0-0_091078_1989-11-17_final
1989-12-02 10:38:46	ga_ls5t_ard_3-0-0_109077_1989-12-02_final
1990-02-27 10:40:14	ga_ls5t_ard_3-0-0_110072_1990-02-27_final
1990-04-03 09:33:56	ga_ls5t_ard_3-0-0_099079_1990-04-03_final
1990-09-26 09:32:51	ga_ls5t_ard_3-0-0_099077_1990-09-26_final
1990-10-27 08:48:57	ga_ls5t_ard_3-0-0_092076_1990-10-26_final
1990-11-26 10:40:02	ga_ls5t_ard_3-0-0_110076_1990-11-26_final
1991-03-21 09:32:15	ga_ls5t_ard_3-0-0_099071_1991-03-21_final
1991-07-24 10:47:20	ga_ls5t_ard_3-0-0_110084_1991-07-24_final
1991-09-23 08:35:40	ga_ls5t_ard_3-1-0_089078_1991-09-22_final
1992-07-12 08:48:55	ga_ls5t_ard_3-0-0_092067_1992-07-11_final
1992-11-02 09:35:12	ga_ls5t_ard_3-0-0_099079_1992-11-02_final
1993-01-08 08:28:41	ga_ls5t_ard_3-1-0_088082_1993-01-07_final
1993-02-26 09:06:23	ga_ls5t_ard_3-0-0_095067_1993-02-25_final
1993-05-05 08:45:19	ga_ls5t_ard_3-1-0_091075_1993-05-04_final
1993-07-08 10:26:09	ga_ls5t_ard_3-0-0_107080_1993-07-08_final
1993-08-31 09:47:51	ga_ls5t_ard_3-0-0_101077_1993-08-31_final
1994-03-07 10:13:19	ga_ls5t_ard_3-1-0_105083_1994-03-07_final
1994-04-29 10:26:10	ga_ls5t_ard_3-0-0_108071_1994-04-29_final
1994-07-05 11:00:03	ga_ls5t_ard_3-0-0_113082_1994-07-05_final
1994-09-01 09:56:21	ga_ls5t_ard_3-0-0_103081_1994-09-01_final
1994-09-21 11:08:00	ga_ls5t_ard_3-0-0_115076_1994-09-21_final
1995-01-11 09:26:16	ga_ls5t_ard_3-0-0_099078_1995-01-10_final
1995-11-28 09:52:38	ga_ls5t_ard_3-0-0_106068_1995-11-28_final
1996-04-07 10:32:05	ga_ls5t_ard_3-0-0_111067_1996-04-07_final
1997-08-03 09:50:24	ga_ls5t_ard_3-0-0_100077_1997-08-03_final
1997-10-15 09:46:45	ga_ls5t_ard_3-0-0_099078_1997-10-15_final
1998-07-29 10:48:17	ga_ls5t_ard_3-0-0_108080_1998-07-29_final
1998-08-04 10:08:25	ga_ls5t_ard_3-0-0_102073_1998-08-04_final
1999-01-07 08:56:57	ga_ls5t_ard_3-0-0_090078_1999-01-06_final
2003-07-12 09:49:28	ga_ls5t_ard_3-0-0_099077_2003-07-12_final
2004-01-20 09:52:19	ga_ls5t_ard_3-0-0_099078_2004-01-20_final
2004-01-21 08:56:18	ga_ls5t_ard_3-0-0_090077_2004-01-20_final
2004-01-25 10:07:42	ga_ls5t_ard_3-0-0_102070_2004-01-25_final
2004-10-17 09:18:47	ga_ls5t_ard_3-0-0_092088_2004-10-16_final
2005-03-27 11:39:27	ga_ls5t_ard_3-0-0_115078_2005-03-27_final
2006-03-14 10:05:48	ga_ls5t_ard_3-0-0_099081_2006-03-14_final
2007-07-07 10:06:50	ga_ls5t_ard_3-0-0_099077_2007-07-07_final
2008-01-25 09:03:03	ga_ls5t_ard_3-0-0_089079_2008-01-24_final
2008-09-24 11:08:40	ga_ls5t_ard_3-0-0_110084_2008-09-24_final
2008-11-26 10:23:04	ga_ls5t_ard_3-0-0_103081_2008-11-26_final
2009-01-02 10:37:30	ga_ls5t_ard_3-0-0_106068_2009-01-02_final
2010-12-24 11:25:32	ga_ls5t_ard_3-0-0_113067_2010-12-24_final
2011-10-20 10:11:05	ga_ls5t_ard_3-0-0_101071_2011-10-20_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