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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

45 results

Time (local)	Label
1987-09-17 09:01:32	ga_ls5t_ard_3-0-0_092089_1987-09-16_final
1987-10-22 11:09:36	ga_ls5t_ard_3-0-0_113083_1987-10-22_final
1988-07-10 08:53:33	ga_ls5t_ard_3-1-0_091075_1988-07-09_final
1988-08-02 10:36:41	ga_ls5t_ard_3-0-0_108070_1988-08-02_final
1988-09-24 10:54:23	ga_ls5t_ard_3-0-0_111068_1988-09-24_final
1988-12-17 10:33:18	ga_ls5t_ard_3-0-0_107078_1988-12-17_final
1989-03-15 11:20:54	ga_ls5t_ard_3-0-0_115076_1989-03-15_final
1989-03-16 08:51:56	ga_ls5t_ard_3-1-0_090090_1989-03-15_final
1989-04-13 09:07:21	ga_ls5t_ard_3-0-0_094067_1989-04-12_final
1989-08-16 08:38:48	ga_ls5t_ard_3-0-0_089079_1989-08-15_final
1989-08-19 09:04:50	ga_ls5t_ard_3-0-0_094067_1989-08-18_final
1989-10-02 09:31:26	ga_ls5t_ard_3-0-0_098074_1989-10-02_final
1989-11-18 08:50:57	ga_ls5t_ard_3-0-0_091085_1989-11-17_final
1989-12-09 09:01:51	ga_ls5t_ard_3-0-0_094067_1989-12-08_final
1990-03-29 09:12:42	ga_ls5t_ard_3-0-0_096072_1990-03-28_final
1991-12-15 09:02:39	ga_ls5t_ard_3-0-0_094067_1991-12-14_final
1992-02-22 09:21:44	ga_ls5t_ard_3-0-0_097069_1992-02-21_final
1992-06-13 09:27:21	ga_ls5t_ard_3-0-0_097085_1992-06-12_final
1992-08-27 09:00:36	ga_ls5t_ard_3-0-0_094067_1992-08-26_final
1992-09-21 08:54:26	ga_ls5t_ard_3-1-0_093068_1992-09-20_final
1993-03-07 09:00:21	ga_ls5t_ard_3-0-0_094067_1993-03-06_final
1993-03-23 09:00:23	ga_ls5t_ard_3-0-0_094067_1993-03-22_final
1993-05-24 10:55:35	ga_ls5t_ard_3-0-0_112076_1993-05-24_final
1993-08-10 09:26:56	ga_ls5t_ard_3-0-0_098071_1993-08-09_final
1993-09-22 09:06:43	ga_ls5t_ard_3-0-0_095067_1993-09-21_final
1994-02-09 09:31:03	ga_ls5t_ard_3-0-0_099069_1994-02-09_final
1994-06-25 08:41:34	ga_ls5t_ard_3-1-0_091075_1994-06-24_final
1994-11-21 08:52:36	ga_ls5t_ard_3-0-0_094067_1994-11-20_final
1995-01-13 09:11:02	ga_ls5t_ard_3-0-0_097071_1995-01-12_final
1995-02-26 09:36:24	ga_ls5t_ard_3-0-0_101077_1995-02-26_final
1995-05-09 08:40:21	ga_ls5t_ard_3-1-0_093068_1995-05-08_final
1996-02-17 09:03:07	ga_ls5t_ard_3-1-0_097069_1996-02-16_final
1996-12-01 11:03:35	ga_ls5t_ard_3-0-0_113083_1996-12-01_final
1996-12-18 10:02:46	ga_ls5t_ard_3-1-0_104068_1996-12-18_final
1997-02-01 09:39:09	ga_ls5t_ard_3-0-0_099081_1997-02-01_final
1997-07-04 09:38:13	ga_ls5t_ard_3-0-0_098080_1997-07-04_final
1997-08-09 09:09:31	ga_ls5t_ard_3-0-0_094067_1997-08-08_final
1998-12-18 09:17:13	ga_ls5t_ard_3-0-0_094067_1998-12-17_final
1999-04-28 09:51:50	ga_ls5t_ard_3-0-0_099077_1999-04-28_final
2005-01-14 10:50:39	ga_ls5t_ard_3-0-0_107082_2005-01-14_final
2005-11-23 10:42:34	ga_ls5t_ard_3-0-0_106071_2005-11-23_final
2007-03-11 09:07:51	ga_ls5t_ard_3-0-0_089081_2007-03-10_final
2010-12-01 09:40:24	ga_ls5t_ard_3-0-0_096067_2010-12-01_final
2011-02-15 10:09:16	ga_ls5t_ard_3-0-0_100077_2011-02-15_final
2011-03-26 10:17:18	ga_ls5t_ard_3-0-0_101082_2011-03-26_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