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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
1987-10-19 09:01:22	ga_ls5t_ard_3-0-0_092087_1987-10-18_final
1988-03-06 08:42:21	ga_ls5t_ard_3-0-0_089080_1988-03-05_final
1988-03-10 09:52:58	ga_ls5t_ard_3-0-0_101071_1988-03-10_final
1989-05-03 08:46:40	ga_ls5t_ard_3-0-0_090078_1989-05-02_final
1989-07-01 10:05:55	ga_ls5t_ard_3-0-0_103078_1989-07-01_final
1989-10-09 11:17:05	ga_ls5t_ard_3-0-0_115076_1989-10-09_final
1989-11-03 09:34:25	ga_ls5t_ard_3-0-0_098084_1989-11-03_final
1989-11-09 10:30:26	ga_ls5t_ard_3-0-0_108070_1989-11-09_final
1990-03-09 09:39:39	ga_ls5t_ard_3-0-0_100076_1990-03-09_final
1990-06-10 10:45:52	ga_ls5t_ard_3-0-0_111073_1990-06-10_final
1990-11-25 09:58:47	ga_ls5t_ard_3-0-0_103081_1990-11-25_final
1991-11-16 09:34:32	ga_ls5t_ard_3-1-0_099070_1991-11-16_final
1992-02-15 10:56:23	ga_ls5t_ard_3-0-0_112074_1992-02-15_final
1992-04-18 10:10:33	ga_ls5t_ard_3-0-0_105068_1992-04-18_final
1992-06-17 10:37:27	ga_ls5t_ard_3-0-0_109075_1992-06-17_final
1992-07-10 09:09:16	ga_ls5t_ard_3-0-0_094087_1992-07-09_final
1993-04-05 08:36:20	ga_ls5t_ard_3-0-0_089084_1993-04-04_final
1993-05-30 10:20:55	ga_ls5t_ard_3-1-0_106082_1993-05-30_final
1993-10-03 10:28:13	ga_ls5t_ard_3-0-0_108070_1993-10-03_final
1993-11-05 09:31:59	ga_ls5t_ard_3-0-0_099069_1993-11-05_final
1994-08-21 10:11:58	ga_ls5t_ard_3-0-0_106073_1994-08-21_final
1995-01-31 08:58:47	ga_ls5t_ard_3-0-0_095073_1995-01-30_final
1995-04-20 09:54:46	ga_ls5t_ard_3-0-0_104082_1995-04-20_final
1995-05-18 10:13:27	ga_ls5t_ard_3-0-0_108070_1995-05-18_final
1995-07-20 09:29:42	ga_ls5t_ard_3-0-0_101076_1995-07-19_final
1997-04-05 10:33:18	ga_ls5t_ard_3-0-0_108071_1997-04-05_final
1997-10-19 09:20:09	ga_ls5t_ard_3-0-0_095073_1997-10-18_final
1999-12-21 10:55:24	ga_ls5t_ard_3-0-0_110075_1999-12-21_final
2003-08-29 09:51:08	ga_ls5t_ard_3-0-0_099079_2003-08-29_final
2003-11-06 10:11:42	ga_ls5t_ard_3-0-0_102082_2003-11-06_final
2004-10-03 10:39:49	ga_ls5t_ard_3-0-0_106075_2004-10-03_final
2005-01-05 10:52:20	ga_ls5t_ard_3-0-0_108071_2005-01-05_final
2005-01-06 09:58:43	ga_ls5t_ard_3-0-0_099076_2005-01-06_final
2005-06-14 10:53:30	ga_ls5t_ard_3-0-0_108070_2005-06-14_final
2006-04-16 10:49:16	ga_ls5t_ard_3-0-0_106080_2006-04-16_final
2006-11-26 10:48:06	ga_ls5t_ard_3-0-0_106070_2006-11-26_final
2008-01-14 09:21:01	ga_ls5t_ard_3-0-0_092077_2008-01-13_final
2009-04-05 10:10:05	ga_ls5t_ard_3-0-0_101071_2009-04-05_final
2009-08-06 09:52:32	ga_ls5t_ard_3-0-0_098068_2009-08-06_final
2010-01-19 10:56:45	ga_ls5t_ard_3-0-0_108070_2010-01-19_final
2010-05-28 10:01:51	ga_ls5t_ard_3-0-0_099072_2010-05-28_final
2011-03-30 11:31:03	ga_ls5t_ard_3-1-0_113081_2011-03-30_final
2011-07-28 09:01:07	ga_ls5t_ard_3-0-0_089079_2011-07-27_final
2011-08-19 10:01:55	ga_ls5t_ard_3-0-0_099077_2011-08-19_final
2011-10-22 09:58:18	ga_ls5t_ard_3-0-0_099070_2011-10-22_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