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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
1987-10-21 08:48:39	ga_ls5t_ard_3-0-0_090086_1987-10-20_final
1987-12-06 09:01:51	ga_ls5t_ard_3-0-0_092086_1987-12-05_final
1988-06-10 10:22:44	ga_ls5t_ard_3-0-0_105082_1988-06-10_final
1988-10-27 09:59:01	ga_ls5t_ard_3-0-0_102069_1988-10-27_final
1989-01-25 10:37:06	ga_ls5t_ard_3-0-0_108073_1989-01-25_final
1989-11-05 09:16:26	ga_ls5t_ard_3-0-0_096070_1989-11-04_final
1991-03-11 08:57:45	ga_ls5t_ard_3-0-0_093078_1991-03-10_final
1991-05-09 10:15:08	ga_ls5t_ard_3-0-0_106068_1991-05-09_final
1991-10-25 10:16:19	ga_ls5t_ard_3-0-0_105082_1991-10-25_final
1992-03-29 10:39:23	ga_ls5t_ard_3-0-0_109078_1992-03-29_final
1992-07-05 10:24:30	ga_ls5t_ard_3-0-0_107074_1992-07-05_final
1992-08-04 10:37:16	ga_ls5t_ard_3-0-0_109076_1992-08-04_final
1994-03-06 11:06:10	ga_ls5t_ard_3-0-0_114076_1994-03-06_final
1994-09-17 09:55:56	ga_ls5t_ard_3-0-0_103081_1994-09-17_final
1994-11-17 11:00:45	ga_ls5t_ard_3-0-0_114078_1994-11-17_final
1994-12-11 10:11:22	ga_ls5t_ard_3-0-0_106080_1994-12-11_final
1995-02-11 08:45:46	ga_ls5t_ard_3-0-0_092088_1995-02-10_final
1995-07-26 08:51:57	ga_ls5t_ard_3-0-0_095075_1995-07-25_final
1996-08-06 10:35:50	ga_ls5t_ard_3-0-0_110075_1996-08-06_final
1996-09-14 10:41:21	ga_ls5t_ard_3-0-0_111068_1996-09-14_final
1997-03-20 10:37:06	ga_ls5t_ard_3-0-0_108082_1997-03-20_final
1997-06-01 10:33:55	ga_ls5t_ard_3-0-0_107083_1997-06-01_final
1998-08-03 09:24:46	ga_ls5t_ard_3-0-0_095072_1998-08-02_final
1999-01-07 08:56:33	ga_ls5t_ard_3-0-0_090077_1999-01-06_final
1999-02-16 09:48:59	ga_ls5t_ard_3-0-0_098084_1999-02-16_final
1999-05-21 10:00:02	ga_ls5t_ard_3-0-0_100083_1999-05-21_final
1999-10-30 09:41:38	ga_ls5t_ard_3-0-0_098073_1999-10-30_final
2003-09-24 10:29:49	ga_ls5t_ard_3-0-0_105082_2003-09-24_final
2004-02-04 10:46:48	ga_ls5t_ard_3-0-0_108075_2004-02-04_final
2004-02-14 09:42:15	ga_ls5t_ard_3-0-0_098068_2004-02-14_final
2004-10-29 11:20:39	ga_ls5t_ard_3-0-0_112083_2004-10-29_final
2005-01-21 10:53:44	ga_ls5t_ard_3-0-0_108074_2005-01-21_final
2005-02-27 09:33:33	ga_ls5t_ard_3-0-0_095073_2005-02-27_final
2005-10-21 09:57:58	ga_ls5t_ard_3-0-0_099069_2005-10-21_final
2006-07-12 09:21:03	ga_ls5t_ard_3-0-0_091088_2006-07-11_final
2006-11-13 11:23:17	ga_ls5t_ard_3-0-0_111081_2006-11-13_final
2007-01-26 10:22:49	ga_ls5t_ard_3-0-0_101083_2007-01-26_final
2007-03-17 10:07:39	ga_ls5t_ard_3-0-0_099076_2007-03-17_final
2007-08-09 09:14:32	ga_ls5t_ard_3-0-0_090086_2007-08-08_final
2008-02-02 09:49:59	ga_ls5t_ard_3-0-0_097073_2008-02-02_final
2008-12-09 09:51:23	ga_ls5t_ard_3-0-0_098078_2008-12-09_final
2009-07-29 10:41:51	ga_ls5t_ard_3-0-0_106068_2009-07-29_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