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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

53 results

Time (local)	Label
1988-11-25 11:09:03	ga_ls5t_ard_3-0-0_113074_1988-11-25_final
1989-01-14 09:14:33	ga_ls5t_ard_3-0-0_095067_1989-01-13_final
1989-01-30 09:14:25	ga_ls5t_ard_3-0-0_095067_1989-01-29_final
1989-05-18 09:42:21	ga_ls5t_ard_3-0-0_099079_1989-05-18_final
1989-11-21 10:56:12	ga_ls5t_ard_3-0-0_112074_1989-11-21_final
1990-02-15 08:39:24	ga_ls5t_ard_3-0-0_090078_1990-02-14_final
1991-06-15 10:37:20	ga_ls5t_ard_3-0-0_109076_1991-06-15_final
1991-11-27 10:56:36	ga_ls5t_ard_3-0-0_112074_1991-11-27_final
1991-12-19 08:45:25	ga_ls5t_ard_3-0-0_090086_1991-12-18_final
1992-02-05 08:45:20	ga_ls5t_ard_3-0-0_090086_1992-02-04_final
1992-06-11 09:37:21	ga_ls5t_ard_3-0-0_099079_1992-06-11_final
1992-07-29 09:36:21	ga_ls5t_ard_3-0-0_099078_1992-07-29_final
1992-11-26 08:49:06	ga_ls5t_ard_3-0-0_091088_1992-11-25_final
1993-03-30 09:06:36	ga_ls5t_ard_3-0-0_095067_1993-03-29_final
1993-06-12 09:50:01	ga_ls5t_ard_3-0-0_101082_1993-06-12_final
1994-04-14 09:34:00	ga_ls5t_ard_3-0-0_099079_1994-04-14_final
1994-05-28 09:58:44	ga_ls5t_ard_3-0-0_103081_1994-05-28_final
1994-09-08 08:23:53	ga_ls5t_ard_3-0-0_088082_1994-09-07_final
1994-09-14 09:23:56	ga_ls5t_ard_3-0-0_098078_1994-09-13_final
1994-12-27 10:06:51	ga_ls5t_ard_3-0-0_106070_1994-12-27_final
1995-09-18 09:51:13	ga_ls5t_ard_3-0-0_105075_1995-09-18_final
1995-10-23 10:20:14	ga_ls5t_ard_3-0-0_110075_1995-10-23_final
1996-06-05 10:19:48	ga_ls5t_ard_3-0-0_108074_1996-06-05_final
1996-06-21 08:46:34	ga_ls5t_ard_3-0-0_092086_1996-06-20_final
1996-07-28 10:42:45	ga_ls5t_ard_3-0-0_111078_1996-07-28_final
1996-08-31 10:30:36	ga_ls5t_ard_3-0-0_109074_1996-08-31_final
1997-03-04 10:33:17	ga_ls5t_ard_3-0-0_108074_1997-03-04_final
1997-09-12 10:39:52	ga_ls5t_ard_3-0-0_108074_1997-09-12_final
1998-01-25 10:50:36	ga_ls5t_ard_3-0-0_109077_1998-01-25_final
1998-03-08 09:46:24	ga_ls5t_ard_3-0-0_099069_1998-03-08_final
1999-03-27 09:52:43	ga_ls5t_ard_3-0-0_099079_1999-03-27_final
1999-05-02 09:23:06	ga_ls5t_ard_3-0-0_095067_1999-05-01_final
2003-09-30 09:51:36	ga_ls5t_ard_3-0-0_099079_2003-09-30_final
2003-10-24 10:39:47	ga_ls5t_ard_3-0-0_107075_2003-10-24_final
2004-01-28 10:40:36	ga_ls5t_ard_3-0-0_107075_2004-01-28_final
2004-06-27 10:49:21	ga_ls5t_ard_3-0-0_108074_2004-06-27_final
2004-07-18 09:26:48	ga_ls5t_ard_3-0-0_095067_2004-07-17_final
2005-01-16 10:35:31	ga_ls5t_ard_3-0-0_105075_2005-01-16_final
2005-01-27 10:19:31	ga_ls5t_ard_3-0-0_102081_2005-01-27_final
2005-06-25 10:37:00	ga_ls5t_ard_3-0-0_105075_2005-06-25_final
2005-08-28 10:37:30	ga_ls5t_ard_3-0-0_105075_2005-08-28_final
2005-10-04 10:59:13	ga_ls5t_ard_3-0-0_108083_2005-10-04_final
2006-05-01 10:03:03	ga_ls5t_ard_3-0-0_099072_2006-05-01_final
2007-09-20 09:50:26	ga_ls5t_ard_3-0-0_096084_2007-09-20_final
2008-01-19 09:40:39	ga_ls5t_ard_3-0-0_095080_2008-01-19_final
2008-07-29 09:30:51	ga_ls5t_ard_3-0-0_095067_2008-07-29_final
2008-08-11 10:38:51	ga_ls5t_ard_3-0-0_106068_2008-08-11_final
2009-01-21 09:29:38	ga_ls5t_ard_3-0-0_095067_2009-01-20_final
2009-02-26 10:47:54	ga_ls5t_ard_3-0-0_107075_2009-02-26_final
2009-09-14 10:03:39	ga_ls5t_ard_3-0-0_099079_2009-09-14_final
2009-10-21 10:18:37	ga_ls5t_ard_3-0-0_102069_2009-10-21_final
2009-11-02 10:48:38	ga_ls5t_ard_3-0-0_106082_2009-11-02_final
2011-02-18 10:38:59	ga_ls5t_ard_3-0-0_105074_2011-02-18_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