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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

61 results

Time (local)	Label
1987-10-25 10:00:52	ga_ls5t_ard_3-0-0_102081_1987-10-25_final
1987-11-23 09:28:35	ga_ls5t_ard_3-0-0_097076_1987-11-22_final
1988-01-28 10:54:59	ga_ls5t_ard_3-0-0_111073_1988-01-28_final
1988-04-12 10:37:38	ga_ls5t_ard_3-0-0_108074_1988-04-12_final
1988-04-18 09:58:36	ga_ls5t_ard_3-0-0_102069_1988-04-18_final
1988-05-16 10:24:23	ga_ls5t_ard_3-0-0_106071_1988-05-16_final
1989-03-19 09:13:28	ga_ls5t_ard_3-0-0_095067_1989-03-18_final
1990-02-02 10:47:36	ga_ls5t_ard_3-0-0_111073_1990-02-02_final
1990-05-25 09:04:34	ga_ls5t_ard_3-0-0_095067_1990-05-24_final
1990-07-23 10:27:36	ga_ls5t_ard_3-0-0_108074_1990-07-23_final
1990-08-03 08:31:19	ga_ls5t_ard_3-1-0_089077_1990-08-02_final
1990-08-17 08:47:14	ga_ls5t_ard_3-0-0_091086_1990-08-16_final
1990-12-08 09:26:37	ga_ls5t_ard_3-0-0_098078_1990-12-07_final
1990-12-24 09:26:57	ga_ls5t_ard_3-0-0_098078_1990-12-23_final
1991-01-04 10:45:36	ga_ls5t_ard_3-0-0_111073_1991-01-04_final
1991-05-17 09:29:22	ga_ls5t_ard_3-0-0_098077_1991-05-16_final
1991-05-28 09:07:03	ga_ls5t_ard_3-0-0_095067_1991-05-27_final
1991-08-03 09:43:11	ga_ls5t_ard_3-0-0_100078_1991-08-03_final
1991-09-21 08:50:50	ga_ls5t_ard_3-0-0_091085_1991-09-20_final
1992-01-18 10:31:48	ga_ls5t_ard_3-0-0_108074_1992-01-18_final
1992-02-25 09:52:16	ga_ls5t_ard_3-0-0_102068_1992-02-25_final
1992-07-18 09:56:13	ga_ls5t_ard_3-0-0_102081_1992-07-18_final
1992-11-06 10:46:53	ga_ls5t_ard_3-0-0_111073_1992-11-06_final
1992-12-12 08:44:09	ga_ls5t_ard_3-1-0_091075_1992-12-11_final
1993-03-19 09:29:54	ga_ls5t_ard_3-1-0_098079_1993-03-18_final
1993-05-14 10:16:04	ga_ls5t_ard_3-0-0_106070_1993-05-14_final
1993-11-21 09:35:49	ga_ls5t_ard_3-0-0_099079_1993-11-21_final
1993-12-25 11:00:09	ga_ls5t_ard_3-0-0_113074_1993-12-25_final
1994-03-07 10:13:19	ga_ls5t_ard_3-1-0_105083_1994-03-07_final
1995-10-14 08:46:51	ga_ls5t_ard_3-0-0_095072_1995-10-13_final
1996-03-22 08:52:12	ga_ls5t_ard_3-0-0_095067_1996-03-21_final
1997-01-18 09:25:22	ga_ls5t_ard_3-0-0_097079_1997-01-17_final
1997-02-18 10:19:09	ga_ls5t_ard_3-0-0_106071_1997-02-18_final
1997-04-26 09:18:53	ga_ls5t_ard_3-0-0_095084_1997-04-25_final
1997-10-14 10:40:45	ga_ls5t_ard_3-0-0_108074_1997-10-14_final
1998-04-12 08:44:05	ga_ls5t_ard_3-1-0_088082_1998-04-11_final
1998-04-20 11:09:19	ga_ls5t_ard_3-0-0_112074_1998-04-20_final
1998-06-24 10:17:23	ga_ls5t_ard_3-0-0_103081_1998-06-24_final
1998-11-03 09:49:13	ga_ls5t_ard_3-0-0_099070_1998-11-03_final
2003-07-13 10:32:21	ga_ls5t_ard_3-0-0_106076_2003-07-13_final
2003-10-01 10:33:40	ga_ls5t_ard_3-0-0_106076_2003-10-01_final
2003-12-23 09:25:05	ga_ls5t_ard_3-0-0_095072_2003-12-22_final
2004-01-20 09:52:19	ga_ls5t_ard_3-0-0_099078_2004-01-20_final
2004-09-01 10:39:26	ga_ls5t_ard_3-0-0_106076_2004-09-01_final
2004-10-27 09:54:04	ga_ls5t_ard_3-0-0_098083_2004-10-27_final
2004-12-14 09:50:13	ga_ls5t_ard_3-0-0_098071_2004-12-14_final
2004-12-29 10:47:40	ga_ls5t_ard_3-0-0_107075_2004-12-29_final
2005-03-31 09:31:28	ga_ls5t_ard_3-0-0_095067_2005-03-31_final
2005-07-13 10:23:34	ga_ls5t_ard_3-0-0_103072_2005-07-13_final
2005-10-29 10:49:47	ga_ls5t_ard_3-0-0_107075_2005-10-29_final
2005-11-26 11:14:20	ga_ls5t_ard_3-0-0_111073_2005-11-26_final
2007-03-01 10:05:42	ga_ls5t_ard_3-0-0_099071_2007-03-01_final
2007-05-04 10:07:46	ga_ls5t_ard_3-0-0_099077_2007-05-04_final
2007-07-07 10:07:15	ga_ls5t_ard_3-0-0_099078_2007-07-07_final
2007-08-08 10:06:34	ga_ls5t_ard_3-0-0_099077_2007-08-08_final
2008-01-23 10:52:44	ga_ls5t_ard_3-0-0_107075_2008-01-23_final
2008-03-28 11:31:35	ga_ls5t_ard_3-0-0_114067_2008-03-28_final
2009-01-18 10:40:43	ga_ls5t_ard_3-0-0_106075_2009-01-18_final
2009-04-11 09:31:31	ga_ls5t_ard_3-0-0_095067_2009-04-11_final
2009-11-09 10:54:53	ga_ls5t_ard_3-0-0_107082_2009-11-09_final
2011-08-19 10:01:55	ga_ls5t_ard_3-0-0_099077_2011-08-19_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

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