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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

67 results

Time (local)	Label
1987-09-17 10:34:26	ga_ls5t_ard_3-0-0_108074_1987-09-17_final
1987-10-19 10:35:04	ga_ls5t_ard_3-0-0_108074_1987-10-19_final
1987-10-31 11:00:00	ga_ls5t_ard_3-0-0_112074_1987-10-31_final
1988-05-17 09:33:57	ga_ls5t_ard_3-1-0_097084_1988-05-17_final
1989-02-28 10:22:35	ga_ls5t_ard_3-0-0_106068_1989-02-28_final
1989-07-05 09:41:30	ga_ls5t_ard_3-0-0_099079_1989-07-05_final
1989-09-28 09:58:59	ga_ls5t_ard_3-0-0_102081_1989-09-28_final
1989-10-09 09:39:24	ga_ls5t_ard_3-0-0_099079_1989-10-09_final
1989-12-11 10:31:08	ga_ls5t_ard_3-0-0_108074_1989-12-11_final
1990-05-04 10:27:40	ga_ls5t_ard_3-0-0_108074_1990-05-04_final
1990-07-24 09:31:59	ga_ls5t_ard_3-0-0_099074_1990-07-24_final
1990-09-25 10:27:18	ga_ls5t_ard_3-0-0_108074_1990-09-25_final
1990-11-28 10:26:49	ga_ls5t_ard_3-0-0_108074_1990-11-28_final
1990-12-14 10:26:54	ga_ls5t_ard_3-0-0_108074_1990-12-14_final
1991-04-03 10:41:34	ga_ls5t_ard_3-0-0_110074_1991-04-03_final
1991-10-30 10:31:41	ga_ls5t_ard_3-0-0_108074_1991-10-30_final
1991-11-05 09:57:25	ga_ls5t_ard_3-0-0_102081_1991-11-05_final
1991-12-17 10:31:56	ga_ls5t_ard_3-0-0_108074_1991-12-17_final
1992-01-20 08:46:09	ga_ls5t_ard_3-0-0_090088_1992-01-19_final
1992-02-03 10:31:51	ga_ls5t_ard_3-0-0_108074_1992-02-03_final
1992-03-22 10:31:42	ga_ls5t_ard_3-0-0_108074_1992-03-22_final
1992-05-19 09:26:36	ga_ls5t_ard_3-1-0_098067_1992-05-18_final
1992-07-12 08:48:55	ga_ls5t_ard_3-0-0_092067_1992-07-11_final
1992-09-30 10:29:19	ga_ls5t_ard_3-0-0_108074_1992-09-30_final
1993-02-16 10:09:22	ga_ls5t_ard_3-0-0_105070_1993-02-16_final
1993-05-12 10:30:01	ga_ls5t_ard_3-0-0_108074_1993-05-12_final
1993-05-22 09:25:27	ga_ls5t_ard_3-1-0_098067_1993-05-21_final
1994-04-08 08:32:19	ga_ls5t_ard_3-0-0_089079_1994-04-07_final
1994-05-16 09:32:38	ga_ls5t_ard_3-0-0_099077_1994-05-16_final
1994-12-09 10:21:23	ga_ls5t_ard_3-0-0_108074_1994-12-09_final
1995-04-28 09:01:23	ga_ls5t_ard_3-0-0_096073_1995-04-27_final
1995-06-26 10:20:14	ga_ls5t_ard_3-0-0_109076_1995-06-26_final
1995-11-23 09:39:08	ga_ls5t_ard_3-0-0_103081_1995-11-23_final
1995-12-08 08:51:05	ga_ls5t_ard_3-0-0_096067_1995-12-07_final
1996-02-03 10:27:53	ga_ls5t_ard_3-0-0_111067_1996-02-03_final
1996-10-04 10:20:29	ga_ls5t_ard_3-0-0_107075_1996-10-04_final
1997-02-12 09:15:30	ga_ls5t_ard_3-0-0_096067_1997-02-11_final
1997-02-25 10:27:13	ga_ls5t_ard_3-0-0_107075_1997-02-25_final
1997-06-17 10:31:15	ga_ls5t_ard_3-0-0_107075_1997-06-17_final
1998-04-04 09:27:26	ga_ls5t_ard_3-0-0_096067_1998-04-03_final
1998-04-20 09:27:38	ga_ls5t_ard_3-0-0_096067_1998-04-19_final
1998-06-23 09:28:32	ga_ls5t_ard_3-0-0_096067_1998-06-22_final
1998-08-30 10:46:11	ga_ls5t_ard_3-0-0_108074_1998-08-30_final
1998-09-08 10:40:27	ga_ls5t_ard_3-0-0_107075_1998-09-08_final
1998-11-30 09:29:35	ga_ls5t_ard_3-0-0_096067_1998-11-29_final
1999-01-17 09:29:34	ga_ls5t_ard_3-0-0_096067_1999-01-16_final
1999-02-18 09:29:51	ga_ls5t_ard_3-1-0_096067_1999-02-17_final
1999-03-06 09:29:44	ga_ls5t_ard_3-1-0_096067_1999-03-05_final
1999-08-18 11:29:34	ga_ls5t_ard_3-0-0_115077_1999-08-18_final
1999-09-02 10:44:43	ga_ls5t_ard_3-0-0_108074_1999-09-02_final
1999-09-03 09:51:03	ga_ls5t_ard_3-0-0_099079_1999-09-03_final
1999-09-14 09:27:21	ga_ls5t_ard_3-0-0_096067_1999-09-13_final
1999-10-29 08:59:37	ga_ls5t_ard_3-0-0_091076_1999-10-28_final
2003-12-20 10:34:37	ga_ls5t_ard_3-0-0_106076_2003-12-20_final
2004-01-17 10:59:04	ga_ls5t_ard_3-0-0_110075_2004-01-17_final
2004-05-27 09:54:24	ga_ls5t_ard_3-0-0_099078_2004-05-27_final
2004-07-15 10:38:17	ga_ls5t_ard_3-0-0_106076_2004-07-15_final
2005-11-17 09:39:02	ga_ls5t_ard_3-0-0_096067_2005-11-17_final
2006-06-13 09:43:08	ga_ls5t_ard_3-0-0_096067_2006-06-13_final
2006-12-22 11:30:59	ga_ls5t_ard_3-0-0_112084_2006-12-22_final
2007-01-24 10:29:11	ga_ls5t_ard_3-0-0_103068_2007-01-24_final
2009-04-28 10:20:41	ga_ls5t_ard_3-0-0_102081_2009-04-28_final
2009-09-19 10:23:03	ga_ls5t_ard_3-0-0_102081_2009-09-19_final
2009-09-22 09:17:30	ga_ls5t_ard_3-0-0_091087_2009-09-21_final
2010-03-30 10:24:11	ga_ls5t_ard_3-0-0_102081_2010-03-30_final
2010-04-17 10:07:47	ga_ls5t_ard_3-1-0_100071_2010-04-17_final
2010-06-29 10:03:41	ga_ls5t_ard_3-0-0_099077_2010-06-29_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