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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
1987-09-08 10:40:24	ga_ls5t_ard_3-0-0_109074_1987-09-08_final
1987-11-06 08:50:34	ga_ls5t_ard_3-1-0_090090_1987-11-05_final
1988-07-12 10:21:41	ga_ls5t_ard_3-0-0_105079_1988-07-12_final
1988-12-29 11:00:24	ga_ls5t_ard_3-0-0_111084_1988-12-29_final
1990-10-27 08:53:21	ga_ls5t_ard_3-0-0_092087_1990-10-26_final
1991-04-24 11:00:28	ga_ls5t_ard_3-0-0_113074_1991-04-24_final
1991-09-19 09:03:35	ga_ls5t_ard_3-0-0_093086_1991-09-18_final
1992-05-12 11:02:10	ga_ls5t_ard_3-0-0_113074_1992-05-12_final
1992-07-19 10:40:16	ga_ls5t_ard_3-0-0_109083_1992-07-19_final
1993-01-22 08:42:49	ga_ls5t_ard_3-0-0_090086_1993-01-21_final
1993-04-10 08:52:07	ga_ls5t_ard_3-0-0_092077_1993-04-09_final
1993-05-14 10:16:04	ga_ls5t_ard_3-0-0_106070_1993-05-14_final
1993-07-23 09:41:41	ga_ls5t_ard_3-0-0_100077_1993-07-23_final
1994-02-09 09:35:03	ga_ls5t_ard_3-1-0_099079_1994-02-09_final
1994-03-30 08:38:16	ga_ls5t_ard_3-0-0_090078_1994-03-29_final
1995-01-10 10:20:19	ga_ls5t_ard_3-0-0_108074_1995-01-10_final
1995-01-31 10:38:52	ga_ls5t_ard_3-0-0_111076_1995-01-31_final
1995-02-18 10:27:45	ga_ls5t_ard_3-0-0_109081_1995-02-18_final
1996-06-14 10:14:54	ga_ls5t_ard_3-0-0_107076_1996-06-14_final
1996-08-01 10:17:50	ga_ls5t_ard_3-0-0_107077_1996-08-01_final
1997-05-02 10:14:31	ga_ls5t_ard_3-0-0_105068_1997-05-02_final
1997-07-12 08:50:39	ga_ls5t_ard_3-0-0_090084_1997-07-11_final
1998-01-18 10:43:05	ga_ls5t_ard_3-0-0_108074_1998-01-18_final
1998-01-25 10:49:01	ga_ls5t_ard_3-0-0_109073_1998-01-25_final
1998-08-17 09:40:02	ga_ls5t_ard_3-0-0_097079_1998-08-17_final
1998-11-29 10:28:24	ga_ls5t_ard_3-0-0_105075_1998-11-29_final
1999-09-20 08:54:06	ga_ls5t_ard_3-0-0_090077_1999-09-19_final
2003-12-28 09:44:28	ga_ls5t_ard_3-0-0_098074_2003-12-28_final
2005-04-06 09:00:00	ga_ls5t_ard_3-0-0_089081_2005-04-05_final
2005-07-05 11:10:55	ga_ls5t_ard_3-0-0_111067_2005-07-05_final
2005-08-06 11:14:03	ga_ls5t_ard_3-0-0_111074_2005-08-06_final
2006-02-21 09:48:49	ga_ls5t_ard_3-0-0_096086_2006-02-21_final
2006-04-22 10:11:05	ga_ls5t_ard_3-0-0_100077_2006-04-22_final
2006-08-20 11:01:01	ga_ls5t_ard_3-0-0_108074_2006-08-20_final
2006-11-08 11:01:54	ga_ls5t_ard_3-0-0_108074_2006-11-08_final
2007-07-06 09:20:00	ga_ls5t_ard_3-0-0_092068_2007-07-05_final
2007-07-06 11:01:16	ga_ls5t_ard_3-0-0_108074_2007-07-06_final
2007-08-15 10:10:17	ga_ls5t_ard_3-0-0_100071_2007-08-15_final
2010-10-10 10:09:18	ga_ls5t_ard_3-0-0_100077_2010-10-10_final
2010-11-03 10:57:22	ga_ls5t_ard_3-0-0_108074_2010-11-03_final
2011-09-12 10:50:19	ga_ls5t_ard_3-0-0_107075_2011-09-12_final
2011-09-28 10:50:02	ga_ls5t_ard_3-0-0_107075_2011-09-28_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