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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
1987-10-09 10:00:37	ga_ls5t_ard_3-0-0_102081_1987-10-09_final
1988-02-06 09:07:42	ga_ls5t_ard_3-0-0_094067_1988-02-05_final
1988-04-14 10:23:41	ga_ls5t_ard_3-0-0_106070_1988-04-14_final
1988-08-06 10:15:56	ga_ls5t_ard_3-0-0_104080_1988-08-06_final
1989-03-10 11:02:34	ga_ls5t_ard_3-0-0_112076_1989-03-10_final
1989-03-22 09:48:16	ga_ls5t_ard_3-0-0_100077_1989-03-22_final
1989-07-09 10:50:48	ga_ls5t_ard_3-0-0_111067_1989-07-09_final
1989-09-25 09:28:53	ga_ls5t_ard_3-0-0_097083_1989-09-24_final
1989-11-08 09:50:25	ga_ls5t_ard_3-0-0_101078_1989-11-08_final
1990-01-24 10:58:28	ga_ls5t_ard_3-0-0_112084_1990-01-24_final
1991-02-14 09:06:37	ga_ls5t_ard_3-0-0_094086_1991-02-13_final
1992-01-16 09:02:29	ga_ls5t_ard_3-0-0_094067_1992-01-15_final
1993-04-23 10:02:14	ga_ls5t_ard_3-0-0_103082_1993-04-23_final
1993-04-24 09:00:38	ga_ls5t_ard_3-0-0_094067_1993-04-23_final
1993-06-23 11:09:06	ga_ls5t_ard_3-0-0_114079_1993-06-23_final
1993-10-05 08:44:09	ga_ls5t_ard_3-0-0_090088_1993-10-04_final
1994-05-25 09:23:06	ga_ls5t_ard_3-0-0_098069_1994-05-24_final
1994-12-17 09:33:18	ga_ls5t_ard_3-0-0_100078_1994-12-17_final
1995-08-11 10:32:07	ga_ls5t_ard_3-0-0_111080_1995-08-11_final
1995-11-17 08:37:08	ga_ls5t_ard_3-0-0_093081_1995-11-16_final
1995-12-16 09:41:56	ga_ls5t_ard_3-0-0_104069_1995-12-16_final
1996-07-21 08:52:55	ga_ls5t_ard_3-0-0_094067_1996-07-20_final
1996-12-28 09:06:38	ga_ls5t_ard_3-0-0_094081_1996-12-27_final
1998-03-05 09:14:38	ga_ls5t_ard_3-0-0_094067_1998-03-04_final
1998-03-24 09:47:03	ga_ls5t_ard_3-0-0_099070_1998-03-24_final
1998-09-20 09:29:12	ga_ls5t_ard_3-0-0_095082_1998-09-19_final
1999-04-28 09:52:14	ga_ls5t_ard_3-0-0_099078_1999-04-28_final
1999-10-21 09:46:04	ga_ls5t_ard_3-0-0_099068_1999-10-21_final
2004-03-15 09:58:47	ga_ls5t_ard_3-0-0_100078_2004-03-15_final
2004-03-30 10:55:16	ga_ls5t_ard_3-0-0_109080_2004-03-30_final
2004-06-12 09:51:17	ga_ls5t_ard_3-0-0_099069_2004-06-12_final
2004-10-11 11:26:14	ga_ls5t_ard_3-0-0_114067_2004-10-11_final
2004-10-29 09:37:46	ga_ls5t_ard_3-0-0_096073_2004-10-29_final
2005-07-12 09:39:30	ga_ls5t_ard_3-0-0_096070_2005-07-12_final
2005-10-05 10:01:12	ga_ls5t_ard_3-0-0_099077_2005-10-05_final
2006-01-25 11:41:15	ga_ls5t_ard_3-0-0_115075_2006-01-25_final
2006-07-21 09:13:47	ga_ls5t_ard_3-0-0_090085_2006-07-20_final
2007-01-04 09:18:06	ga_ls5t_ard_3-0-0_091076_2007-01-03_final
2007-03-30 09:33:06	ga_ls5t_ard_3-0-0_094067_2007-03-30_final
2009-11-01 10:04:10	ga_ls5t_ard_3-0-0_099079_2009-11-01_final
2010-01-29 09:58:11	ga_ls5t_ard_3-0-0_098078_2010-01-29_final
2010-03-21 10:25:12	ga_ls5t_ard_3-0-0_103068_2010-03-21_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