Search ga_ls5t_ard_3 across June 2008

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
2008-06-01 10:34:40	ga_ls5t_ard_3-0-0_105068_2008-06-01_final
2008-06-01 10:35:04	ga_ls5t_ard_3-0-0_105069_2008-06-01_final
2008-06-01 10:35:28	ga_ls5t_ard_3-0-0_105070_2008-06-01_final
2008-06-01 10:35:52	ga_ls5t_ard_3-0-0_105071_2008-06-01_final
2008-06-02 09:38:37	ga_ls5t_ard_3-0-0_096067_2008-06-02_final
2008-06-02 09:39:49	ga_ls5t_ard_3-0-0_096070_2008-06-02_final
2008-06-02 11:17:30	ga_ls5t_ard_3-1-0_112067_2008-06-02_final
2008-06-03 10:22:15	ga_ls5t_ard_3-0-0_103068_2008-06-03_final
2008-06-03 10:22:39	ga_ls5t_ard_3-0-0_103069_2008-06-03_final
2008-06-03 10:23:03	ga_ls5t_ard_3-0-0_103070_2008-06-03_final
2008-06-04 11:05:06	ga_ls5t_ard_3-0-0_110067_2008-06-04_final
2008-06-04 11:06:17	ga_ls5t_ard_3-0-0_110070_2008-06-04_final
2008-06-06 10:53:52	ga_ls5t_ard_3-0-0_108070_2008-06-06_final
2008-06-07 09:57:26	ga_ls5t_ard_3-0-0_099068_2008-06-07_final
2008-06-07 09:57:50	ga_ls5t_ard_3-0-0_099069_2008-06-07_final
2008-06-07 09:58:13	ga_ls5t_ard_3-0-0_099070_2008-06-07_final
2008-06-08 10:40:40	ga_ls5t_ard_3-0-0_106068_2008-06-08_final
2008-06-08 10:41:04	ga_ls5t_ard_3-0-0_106069_2008-06-08_final
2008-06-08 10:41:27	ga_ls5t_ard_3-0-0_106070_2008-06-08_final
2008-06-09 09:45:25	ga_ls5t_ard_3-1-0_097069_2008-06-09_final
2008-06-09 09:45:48	ga_ls5t_ard_3-0-0_097070_2008-06-09_final
2008-06-09 11:23:30	ga_ls5t_ard_3-0-0_113067_2008-06-09_final
2008-06-10 10:28:15	ga_ls5t_ard_3-0-0_104068_2008-06-10_final
2008-06-10 10:28:39	ga_ls5t_ard_3-0-0_104069_2008-06-10_final
2008-06-10 10:29:02	ga_ls5t_ard_3-0-0_104070_2008-06-10_final
2008-06-15 10:47:26	ga_ls5t_ard_3-0-0_107070_2008-06-15_final
2008-06-16 09:50:36	ga_ls5t_ard_3-0-0_098067_2008-06-16_final
2008-06-16 09:51:00	ga_ls5t_ard_3-0-0_098068_2008-06-16_final
2008-06-16 11:29:29	ga_ls5t_ard_3-0-0_114067_2008-06-16_final
2008-06-19 10:21:49	ga_ls5t_ard_3-0-0_103068_2008-06-19_final
2008-06-19 10:22:13	ga_ls5t_ard_3-0-0_103069_2008-06-19_final
2008-06-20 11:04:39	ga_ls5t_ard_3-0-0_110067_2008-06-20_final
2008-06-23 09:57:23	ga_ls5t_ard_3-0-0_099069_2008-06-23_final
2008-06-24 10:40:13	ga_ls5t_ard_3-0-0_106068_2008-06-24_final
2008-06-24 10:40:37	ga_ls5t_ard_3-0-0_106069_2008-06-24_final
2008-06-25 11:23:03	ga_ls5t_ard_3-0-0_113067_2008-06-25_final
2008-06-26 10:27:48	ga_ls5t_ard_3-0-0_104068_2008-06-26_final
2008-06-26 10:28:12	ga_ls5t_ard_3-0-0_104069_2008-06-26_final
2008-06-27 11:10:38	ga_ls5t_ard_3-0-0_111067_2008-06-27_final
2008-06-27 11:11:02	ga_ls5t_ard_3-1-0_111068_2008-06-27_final
2008-06-28 10:15:23	ga_ls5t_ard_3-0-0_102068_2008-06-28_final
2008-06-28 10:15:47	ga_ls5t_ard_3-0-0_102069_2008-06-28_final

Return to ga_ls5t_ard_3 across June 2008 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

2008

June

All days