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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

69 results

Time (local)	Label
1987-09-05 10:11:25	ga_ls5t_ard_3-0-0_104079_1987-09-05_final
1987-10-27 09:46:56	ga_ls5t_ard_3-0-0_100077_1987-10-27_final
1987-11-25 10:56:44	ga_ls5t_ard_3-0-0_111080_1987-11-25_final
1987-12-17 10:18:22	ga_ls5t_ard_3-0-0_105076_1987-12-17_final
1988-05-15 11:22:23	ga_ls5t_ard_3-0-0_115077_1988-05-15_final
1988-08-02 10:41:52	ga_ls5t_ard_3-0-0_108083_1988-08-02_final
1989-07-22 08:47:31	ga_ls5t_ard_3-0-0_090084_1989-07-21_final
1990-11-01 10:48:41	ga_ls5t_ard_3-0-0_111082_1990-11-01_final
1990-11-23 08:33:30	ga_ls5t_ard_3-0-0_089084_1990-11-22_final
1991-03-18 08:59:40	ga_ls5t_ard_3-0-0_094067_1991-03-17_final
1991-07-01 08:55:12	ga_ls5t_ard_3-0-0_093067_1991-06-30_final
1991-08-22 08:35:18	ga_ls5t_ard_3-0-0_089078_1991-08-21_final
1991-11-13 10:47:18	ga_ls5t_ard_3-0-0_110082_1991-11-13_final
1992-02-17 09:02:22	ga_ls5t_ard_3-0-0_094067_1992-02-16_final
1992-05-01 09:43:07	ga_ls5t_ard_3-0-0_100077_1992-05-01_final
1993-02-11 09:55:35	ga_ls5t_ard_3-0-0_102082_1993-02-11_final
1993-07-11 10:57:27	ga_ls5t_ard_3-0-0_112081_1993-07-11_final
1993-08-27 08:34:53	ga_ls5t_ard_3-0-0_089080_1993-08-26_final
1994-02-01 10:22:35	ga_ls5t_ard_3-0-0_107074_1994-02-01_final
1994-03-08 09:15:41	ga_ls5t_ard_3-0-0_096078_1994-03-07_final
1994-06-11 10:07:37	ga_ls5t_ard_3-0-0_105073_1994-06-11_final
1994-07-23 10:44:01	ga_ls5t_ard_3-0-0_111074_1994-07-23_final
1995-04-25 08:36:12	ga_ls5t_ard_3-0-0_091087_1995-04-24_final
1995-05-16 08:45:49	ga_ls5t_ard_3-0-0_094067_1995-05-15_final
1995-12-04 09:19:30	ga_ls5t_ard_3-1-0_100077_1995-12-03_final
1995-12-13 09:14:00	ga_ls5t_ard_3-0-0_099077_1995-12-12_final
1996-01-02 10:28:49	ga_ls5t_ard_3-0-0_111075_1996-01-02_final
1996-02-22 09:25:11	ga_ls5t_ard_3-0-0_100077_1996-02-21_final
1996-03-14 09:44:19	ga_ls5t_ard_3-1-0_103075_1996-03-14_final
1996-04-12 09:18:26	ga_ls5t_ard_3-0-0_098083_1996-04-11_final
1996-05-14 09:18:21	ga_ls5t_ard_3-0-0_098078_1996-05-13_final
1996-06-17 10:45:10	ga_ls5t_ard_3-0-0_112074_1996-06-17_final
1996-06-19 08:51:14	ga_ls5t_ard_3-0-0_094067_1996-06-18_final
1996-09-07 08:55:30	ga_ls5t_ard_3-0-0_094067_1996-09-06_final
1996-09-23 10:38:27	ga_ls5t_ard_3-0-0_110075_1996-09-23_final
1996-10-16 09:05:45	ga_ls5t_ard_3-0-0_095072_1996-10-15_final
1996-11-29 09:34:34	ga_ls5t_ard_3-0-0_099077_1996-11-29_final
1997-04-05 08:52:49	ga_ls5t_ard_3-0-0_092067_1997-04-04_final
1997-08-09 10:51:12	ga_ls5t_ard_3-1-0_110074_1997-08-09_final
1997-11-22 10:47:54	ga_ls5t_ard_3-0-0_109074_1997-11-22_final
1998-01-24 10:04:56	ga_ls5t_ard_3-0-0_102071_1998-01-24_final
1998-02-07 08:43:06	ga_ls5t_ard_3-0-0_088082_1998-02-06_final
1998-02-10 10:53:45	ga_ls5t_ard_3-0-0_109084_1998-02-10_final
1998-11-28 09:48:21	ga_ls5t_ard_3-0-0_098083_1998-11-28_final
1999-02-04 10:59:01	ga_ls5t_ard_3-0-0_110074_1999-02-04_final
1999-05-11 09:20:24	ga_ls5t_ard_3-0-0_094076_1999-05-10_final
1999-06-21 10:51:38	ga_ls5t_ard_3-0-0_109074_1999-06-21_final
2003-11-05 11:03:42	ga_ls5t_ard_3-0-0_111073_2003-11-05_final
2003-11-17 11:29:56	ga_ls5t_ard_3-0-0_115076_2003-11-17_final
2004-03-29 10:10:23	ga_ls5t_ard_3-0-0_102076_2004-03-29_final
2004-05-03 10:42:20	ga_ls5t_ard_3-0-0_107076_2004-05-03_final
2004-05-19 09:09:07	ga_ls5t_ard_3-0-0_091089_2004-05-18_final
2004-07-29 09:16:52	ga_ls5t_ard_3-0-0_092088_2004-07-28_final
2004-11-20 10:41:06	ga_ls5t_ard_3-0-0_106076_2004-11-20_final
2005-02-17 08:58:19	ga_ls5t_ard_3-0-0_089078_2005-02-16_final
2005-05-11 09:25:29	ga_ls5t_ard_3-0-0_094067_2005-05-10_final
2005-08-03 10:41:32	ga_ls5t_ard_3-0-0_106070_2005-08-03_final
2006-03-08 09:03:53	ga_ls5t_ard_3-0-0_089081_2006-03-07_final
2006-03-20 11:08:55	ga_ls5t_ard_3-0-0_109084_2006-03-20_final
2006-09-14 10:55:33	ga_ls5t_ard_3-0-0_107075_2006-09-14_final
2007-02-23 10:44:22	ga_ls5t_ard_3-0-0_105075_2007-02-23_final
2008-08-23 09:23:57	ga_ls5t_ard_3-0-0_094067_2008-08-22_final
2008-11-29 10:51:17	ga_ls5t_ard_3-0-0_108074_2008-11-29_final
2008-12-24 10:46:39	ga_ls5t_ard_3-0-0_107076_2008-12-24_final
2009-02-12 09:01:54	ga_ls5t_ard_3-1-0_089089_2009-02-11_final
2009-02-17 10:53:28	ga_ls5t_ard_3-0-0_108074_2009-02-17_final
2009-02-27 09:55:54	ga_ls5t_ard_3-0-0_098084_2009-02-27_final
2010-03-22 09:29:11	ga_ls5t_ard_3-0-0_094067_2010-03-21_final
2011-02-15 10:09:16	ga_ls5t_ard_3-0-0_100077_2011-02-15_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