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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

43 results

Time (local)	Label
1987-09-06 09:18:37	ga_ls5t_ard_3-0-0_095086_1987-09-05_final
1987-10-21 08:49:27	ga_ls5t_ard_3-0-0_090088_1987-10-20_final
1987-10-27 09:46:56	ga_ls5t_ard_3-0-0_100077_1987-10-27_final
1988-01-15 09:48:22	ga_ls5t_ard_3-0-0_100077_1988-01-15_final
1989-08-16 10:16:05	ga_ls5t_ard_3-0-0_105075_1989-08-16_final
1990-11-17 10:45:10	ga_ls5t_ard_3-1-0_111073_1990-11-17_final
1992-05-11 08:41:13	ga_ls5t_ard_3-0-0_090077_1992-05-10_final
1993-01-17 10:01:06	ga_ls5t_ard_3-0-0_103081_1993-01-17_final
1993-01-22 08:42:49	ga_ls5t_ard_3-0-0_090086_1993-01-21_final
1993-04-01 10:35:56	ga_ls5t_ard_3-0-0_109074_1993-04-01_final
1993-04-12 08:39:47	ga_ls5t_ard_3-0-0_090077_1993-04-11_final
1993-10-17 10:41:18	ga_ls5t_ard_3-0-0_110072_1993-10-17_final
1993-11-30 09:26:26	ga_ls5t_ard_3-0-0_098071_1993-11-29_final
1994-04-28 09:47:20	ga_ls5t_ard_3-0-0_101082_1994-04-28_final
1994-08-04 09:31:30	ga_ls5t_ard_3-0-0_099079_1994-08-04_final
1995-03-13 10:30:37	ga_ls5t_ard_3-0-0_110075_1995-03-13_final
1995-09-08 09:15:50	ga_ls5t_ard_3-0-0_099078_1995-09-07_final
1996-02-17 09:09:06	ga_ls5t_ard_3-0-0_097084_1996-02-16_final
1996-09-16 10:31:53	ga_ls5t_ard_3-0-0_109075_1996-09-16_final
1996-11-26 09:07:06	ga_ls5t_ard_3-0-0_094086_1996-11-25_final
1997-01-18 09:21:47	ga_ls5t_ard_3-0-0_097070_1997-01-17_final
1997-07-08 10:50:31	ga_ls5t_ard_3-0-0_110075_1997-07-08_final
1998-01-04 08:57:08	ga_ls5t_ard_3-0-0_090088_1998-01-03_final
1998-11-15 10:18:52	ga_ls5t_ard_3-0-0_103082_1998-11-15_final
1998-11-16 10:59:20	ga_ls5t_ard_3-0-0_110075_1998-11-16_final
1999-12-08 09:48:14	ga_ls5t_ard_3-0-0_099077_1999-12-08_final
2004-01-21 10:34:23	ga_ls5t_ard_3-0-0_106075_2004-01-21_final
2004-07-31 10:36:15	ga_ls5t_ard_3-0-0_106070_2004-07-31_final
2004-10-09 10:03:40	ga_ls5t_ard_3-0-0_100077_2004-10-09_final
2006-03-09 09:49:09	ga_ls5t_ard_3-0-0_096086_2006-03-09_final
2006-04-16 10:47:41	ga_ls5t_ard_3-0-0_106076_2006-04-16_final
2006-10-04 10:33:27	ga_ls5t_ard_3-0-0_103081_2006-10-04_final
2006-10-24 11:46:38	ga_ls5t_ard_3-0-0_115078_2006-10-24_final
2007-07-24 09:16:16	ga_ls5t_ard_3-1-0_090090_2007-07-23_final
2008-07-25 09:57:17	ga_ls5t_ard_3-0-0_099071_2008-07-25_final
2008-10-04 10:03:45	ga_ls5t_ard_3-0-0_100077_2008-10-04_final
2008-11-15 09:03:09	ga_ls5t_ard_3-0-0_090083_2008-11-14_final
2008-12-26 08:57:51	ga_ls5t_ard_3-0-0_089082_2008-12-25_final
2009-01-02 10:38:18	ga_ls5t_ard_3-0-0_106070_2009-01-02_final
2009-03-13 10:05:47	ga_ls5t_ard_3-0-0_100077_2009-03-13_final
2010-01-09 10:24:01	ga_ls5t_ard_3-0-0_102081_2010-01-09_final
2010-06-17 11:16:43	ga_ls5t_ard_3-0-0_111074_2010-06-17_final
2010-12-05 09:23:39	ga_ls5t_ard_3-0-0_092087_2010-12-04_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