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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
1987-05-29 09:39:41	ga_ls5t_ard_3-0-0_099083_1987-05-29_final
1987-12-08 10:22:01	ga_ls5t_ard_3-0-0_106070_1987-12-08_final
1988-03-03 09:48:42	ga_ls5t_ard_3-0-0_100076_1988-03-03_final
1988-05-21 09:10:04	ga_ls5t_ard_3-0-0_093086_1988-05-20_final
1988-06-05 10:00:59	ga_ls5t_ard_3-0-0_102074_1988-06-05_final
1988-09-06 11:12:26	ga_ls5t_ard_3-0-0_113082_1988-09-06_final
1989-08-17 09:23:13	ga_ls5t_ard_3-0-0_096082_1989-08-16_final
1989-09-04 10:45:24	ga_ls5t_ard_3-0-0_110072_1989-09-04_final
1989-09-29 10:39:27	ga_ls5t_ard_3-0-0_109074_1989-09-29_final
1989-11-15 09:53:02	ga_ls5t_ard_3-0-0_102070_1989-11-15_final
1990-03-04 09:22:05	ga_ls5t_ard_3-0-0_097078_1990-03-03_final
1990-07-26 11:01:42	ga_ls5t_ard_3-0-0_113082_1990-07-26_final
1990-09-21 10:56:02	ga_ls5t_ard_3-0-0_112084_1990-09-21_final
1990-10-24 09:58:58	ga_ls5t_ard_3-0-0_103081_1990-10-24_final
1990-11-03 10:33:08	ga_ls5t_ard_3-0-0_109074_1990-11-03_final
1991-03-05 09:34:40	ga_ls5t_ard_3-0-0_099078_1991-03-05_final
1991-03-09 10:44:57	ga_ls5t_ard_3-0-0_111068_1991-03-09_final
1991-09-01 10:49:48	ga_ls5t_ard_3-0-0_111074_1991-09-01_final
1991-09-19 10:37:40	ga_ls5t_ard_3-0-0_109074_1991-09-19_final
1991-09-23 08:35:40	ga_ls5t_ard_3-1-0_089078_1991-09-22_final
1991-12-13 10:56:43	ga_ls5t_ard_3-0-0_112074_1991-12-13_final
1992-04-01 09:28:37	ga_ls5t_ard_3-0-0_098071_1992-03-31_final
1992-06-27 11:15:38	ga_ls5t_ard_3-0-0_115078_1992-06-27_final
1992-07-29 11:15:14	ga_ls5t_ard_3-0-0_115078_1992-07-29_final
1993-04-29 09:22:00	ga_ls5t_ard_3-0-0_097074_1993-04-28_final
1994-05-20 10:46:20	ga_ls5t_ard_3-0-0_111076_1994-05-20_final
1994-06-19 09:19:12	ga_ls5t_ard_3-0-0_097076_1994-06-18_final
1994-08-14 10:06:21	ga_ls5t_ard_3-0-0_105074_1994-08-14_final
1994-11-05 09:01:08	ga_ls5t_ard_3-0-0_094087_1994-11-04_final
1995-01-27 09:22:52	ga_ls5t_ard_3-0-0_099071_1995-01-26_final
1995-06-17 08:50:19	ga_ls5t_ard_3-0-0_094082_1995-06-16_final
1995-06-18 09:29:09	ga_ls5t_ard_3-0-0_101071_1995-06-17_final
1995-07-03 10:26:05	ga_ls5t_ard_3-0-0_110076_1995-07-03_final
1995-07-19 08:50:28	ga_ls5t_ard_3-0-0_094086_1995-07-18_final
1996-03-18 09:17:28	ga_ls5t_ard_3-0-0_099069_1996-03-17_final
1997-11-26 08:47:59	ga_ls5t_ard_3-0-0_089083_1997-11-25_final
1998-03-19 11:08:55	ga_ls5t_ard_3-0-0_112074_1998-03-19_final
1999-07-11 10:26:45	ga_ls5t_ard_3-0-0_105074_1999-07-11_final
1999-09-14 09:28:57	ga_ls5t_ard_3-0-0_096071_1999-09-13_final
1999-09-26 09:54:12	ga_ls5t_ard_3-0-0_100073_1999-09-26_final
2003-07-17 10:04:31	ga_ls5t_ard_3-0-0_102068_2003-07-17_final
2003-08-30 08:58:19	ga_ls5t_ard_3-0-0_090086_2003-08-29_final
2004-01-20 09:51:31	ga_ls5t_ard_3-0-0_099076_2004-01-20_final
2004-02-22 10:33:21	ga_ls5t_ard_3-0-0_106072_2004-02-22_final
2005-01-05 10:51:56	ga_ls5t_ard_3-0-0_108070_2005-01-05_final
2005-07-10 09:57:01	ga_ls5t_ard_3-0-0_098083_2005-07-10_final
2005-10-25 11:13:44	ga_ls5t_ard_3-0-0_111073_2005-10-25_final
2006-02-04 10:36:53	ga_ls5t_ard_3-0-0_105068_2006-02-04_final
2006-07-08 11:16:37	ga_ls5t_ard_3-0-0_111068_2006-07-08_final
2006-07-17 11:13:21	ga_ls5t_ard_3-0-0_110075_2006-07-17_final
2006-08-21 10:04:37	ga_ls5t_ard_3-0-0_099072_2006-08-21_final
2007-04-22 11:20:50	ga_ls5t_ard_3-0-0_111074_2007-04-22_final
2007-09-12 10:39:08	ga_ls5t_ard_3-0-0_104082_2007-09-12_final
2008-04-04 09:59:31	ga_ls5t_ard_3-0-0_099069_2008-04-04_final
2009-02-15 11:05:22	ga_ls5t_ard_3-0-0_110073_2009-02-15_final
2009-03-29 10:06:33	ga_ls5t_ard_3-0-0_100078_2009-03-29_final
2009-11-20 10:36:24	ga_ls5t_ard_3-0-0_104082_2009-11-20_final
2010-11-18 10:15:41	ga_ls5t_ard_3-0-0_101078_2010-11-18_final
2011-01-09 09:47:53	ga_ls5t_ard_3-0-0_097070_2011-01-09_final
2011-01-31 10:53:42	ga_ls5t_ard_3-0-0_107080_2011-01-31_final
2011-06-29 11:08:45	ga_ls5t_ard_3-0-0_110073_2011-06-29_final
2011-09-26 11:02:26	ga_ls5t_ard_3-0-0_109075_2011-09-26_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