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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

62 results

Time (local)	Label
1988-01-09 10:27:19	ga_ls5t_ard_3-0-0_106082_1988-01-09_final
1988-04-23 10:19:10	ga_ls5t_ard_3-0-0_105074_1988-04-23_final
1988-10-31 09:35:08	ga_ls5t_ard_3-0-0_098071_1988-10-31_final
1989-02-02 09:49:20	ga_ls5t_ard_3-0-0_100077_1989-02-02_final
1990-05-22 10:14:37	ga_ls5t_ard_3-0-0_106072_1990-05-22_final
1990-07-20 09:59:29	ga_ls5t_ard_3-0-0_103081_1990-07-20_final
1990-10-11 08:48:16	ga_ls5t_ard_3-1-0_092074_1990-10-10_final
1991-02-06 09:49:00	ga_ls5t_ard_3-0-0_102069_1991-02-06_final
1991-05-31 09:43:58	ga_ls5t_ard_3-0-0_100082_1991-05-31_final
1991-07-31 09:07:53	ga_ls5t_ard_3-0-0_095067_1991-07-30_final
1991-10-21 10:37:53	ga_ls5t_ard_3-0-0_109074_1991-10-21_final
1991-11-01 10:17:42	ga_ls5t_ard_3-0-0_106070_1991-11-01_final
1992-02-12 10:25:54	ga_ls5t_ard_3-0-0_107075_1992-02-12_final
1992-03-31 10:25:26	ga_ls5t_ard_3-0-0_107074_1992-03-31_final
1993-01-12 09:38:30	ga_ls5t_ard_3-0-0_100071_1993-01-12_final
1993-02-21 08:55:01	ga_ls5t_ard_3-0-0_092085_1993-02-20_final
1993-03-18 10:23:56	ga_ls5t_ard_3-0-0_107075_1993-03-18_final
1993-06-03 09:55:49	ga_ls5t_ard_3-0-0_102081_1993-06-03_final
1993-10-13 09:32:21	ga_ls5t_ard_3-0-0_098085_1993-10-13_final
1994-01-16 10:23:08	ga_ls5t_ard_3-0-0_107075_1994-01-16_final
1994-12-16 10:27:21	ga_ls5t_ard_3-0-0_109074_1994-12-16_final
1994-12-30 08:57:34	ga_ls5t_ard_3-0-0_095067_1994-12-29_final
1995-05-09 10:21:37	ga_ls5t_ard_3-0-0_109074_1995-05-09_final
1996-04-03 11:00:09	ga_ls5t_ard_3-0-0_115076_1996-04-03_final
1996-04-10 09:25:53	ga_ls5t_ard_3-0-0_100071_1996-04-09_final
1996-08-04 09:06:01	ga_ls5t_ard_3-0-0_096067_1996-08-03_final
1996-10-03 09:35:59	ga_ls5t_ard_3-0-0_100072_1996-10-03_final
1996-11-21 08:49:07	ga_ls5t_ard_3-0-0_091088_1996-11-20_final
1997-01-16 09:37:15	ga_ls5t_ard_3-0-0_099078_1997-01-16_final
1997-02-02 08:43:34	ga_ls5t_ard_3-0-0_090081_1997-02-01_final
1997-06-24 10:36:05	ga_ls5t_ard_3-0-0_108071_1997-06-24_final
1997-09-19 10:46:37	ga_ls5t_ard_3-0-0_109075_1997-09-19_final
1997-12-18 09:45:33	ga_ls5t_ard_3-0-0_099071_1997-12-18_final
1998-01-16 10:55:24	ga_ls5t_ard_3-0-0_110074_1998-01-16_final
1998-01-23 11:01:19	ga_ls5t_ard_3-1-0_111073_1998-01-23_final
1998-02-22 09:40:12	ga_ls5t_ard_3-0-0_097085_1998-02-22_final
1999-02-01 10:31:16	ga_ls5t_ard_3-0-0_105082_1999-02-01_final
1999-08-18 11:29:10	ga_ls5t_ard_3-0-0_115076_1999-08-18_final
2003-07-08 10:10:32	ga_ls5t_ard_3-0-0_103068_2003-07-08_final
2003-07-19 09:55:46	ga_ls5t_ard_3-0-0_100077_2003-07-19_final
2003-08-23 10:26:30	ga_ls5t_ard_3-0-0_105075_2003-08-23_final
2003-11-21 11:04:30	ga_ls5t_ard_3-0-0_111074_2003-11-21_final
2004-09-01 09:03:21	ga_ls5t_ard_3-0-0_090083_2004-08-31_final
2004-10-09 10:03:40	ga_ls5t_ard_3-0-0_100077_2004-10-09_final
2005-01-11 10:19:18	ga_ls5t_ard_3-0-0_102081_2005-01-11_final
2005-05-04 11:00:57	ga_ls5t_ard_3-0-0_109074_2005-05-04_final
2005-05-15 10:43:16	ga_ls5t_ard_3-0-0_106076_2005-05-15_final
2005-09-23 11:13:48	ga_ls5t_ard_3-0-0_111073_2005-09-23_final
2005-10-09 09:32:28	ga_ls5t_ard_3-1-0_095067_2005-10-09_final
2006-05-06 10:20:04	ga_ls5t_ard_3-0-0_102068_2006-05-06_final
2006-08-18 09:39:16	ga_ls5t_ard_3-1-0_094086_2006-08-18_final
2006-09-16 10:43:13	ga_ls5t_ard_3-0-0_105075_2006-09-16_final
2006-10-02 10:43:24	ga_ls5t_ard_3-0-0_105075_2006-10-02_final
2007-06-27 11:09:08	ga_ls5t_ard_3-0-0_109078_2007-06-27_final
2008-11-25 11:19:04	ga_ls5t_ard_3-0-0_112082_2008-11-25_final
2008-12-01 09:04:05	ga_ls5t_ard_3-0-0_090084_2008-11-30_final
2009-05-13 09:32:07	ga_ls5t_ard_3-0-0_095067_2009-05-13_final
2009-10-20 09:34:33	ga_ls5t_ard_3-0-0_095067_2009-10-20_final
2009-11-04 10:36:18	ga_ls5t_ard_3-0-0_104082_2009-11-04_final
2009-11-09 10:54:53	ga_ls5t_ard_3-0-0_107082_2009-11-09_final
2010-09-19 09:48:32	ga_ls5t_ard_3-0-0_097071_2010-09-19_final
2011-01-18 11:22:12	ga_ls5t_ard_3-0-0_112074_2011-01-18_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