Search ga_ls5t_ard_3 whole collection

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

66 results

Time (local)	Label
1987-07-31 08:59:25	ga_ls5t_ard_3-0-0_092087_1987-07-30_final
1987-09-02 09:39:38	ga_ls5t_ard_3-0-0_099077_1987-09-02_final
1987-10-13 09:36:46	ga_ls5t_ard_3-0-0_098083_1987-10-13_final
1988-06-08 08:56:36	ga_ls5t_ard_3-0-0_091083_1988-06-07_final
1989-01-27 08:51:03	ga_ls5t_ard_3-0-0_090086_1989-01-26_final
1989-03-07 08:58:29	ga_ls5t_ard_3-0-0_091090_1989-03-06_final
1989-05-28 08:40:28	ga_ls5t_ard_3-0-0_089079_1989-05-27_final
1989-08-30 08:54:05	ga_ls5t_ard_3-0-0_091087_1989-08-29_final
1989-11-15 09:57:25	ga_ls5t_ard_3-0-0_102081_1989-11-15_final
1990-08-06 10:42:18	ga_ls5t_ard_3-0-0_110080_1990-08-06_final
1991-03-22 10:14:19	ga_ls5t_ard_3-0-0_106068_1991-03-22_final
1991-04-16 10:08:33	ga_ls5t_ard_3-0-0_105068_1991-04-16_final
1991-11-23 09:43:55	ga_ls5t_ard_3-0-0_100078_1991-11-23_final
1992-01-29 10:14:56	ga_ls5t_ard_3-0-0_105078_1992-01-29_final
1992-02-08 10:50:16	ga_ls5t_ard_3-0-0_111074_1992-02-08_final
1992-05-17 09:42:58	ga_ls5t_ard_3-0-0_100077_1992-05-17_final
1992-06-01 10:37:40	ga_ls5t_ard_3-0-0_109075_1992-06-01_final
1992-06-10 08:57:18	ga_ls5t_ard_3-0-0_092087_1992-06-09_final
1993-04-08 10:42:33	ga_ls5t_ard_3-0-0_110075_1993-04-08_final
1993-10-04 09:36:59	ga_ls5t_ard_3-0-0_099081_1993-10-04_final
1994-04-09 10:52:27	ga_ls5t_ard_3-0-0_112074_1994-04-09_final
1994-06-16 08:53:33	ga_ls5t_ard_3-0-0_092089_1994-06-15_final
1994-07-27 08:40:41	ga_ls5t_ard_3-1-0_091075_1994-07-26_final
1994-10-14 09:36:12	ga_ls5t_ard_3-0-0_100080_1994-10-14_final
1994-11-14 10:28:21	ga_ls5t_ard_3-0-0_109074_1994-11-14_final
1995-03-10 09:59:27	ga_ls5t_ard_3-0-0_105074_1995-03-10_final
1995-04-24 09:25:29	ga_ls5t_ard_3-0-0_100071_1995-04-23_final
1995-06-19 10:13:58	ga_ls5t_ard_3-0-0_108075_1995-06-19_final
1995-09-25 09:55:27	ga_ls5t_ard_3-0-0_106071_1995-09-25_final
1996-05-11 10:24:34	ga_ls5t_ard_3-0-0_109074_1996-05-11_final
1996-06-03 10:32:03	ga_ls5t_ard_3-0-0_110074_1996-06-03_final
1996-06-14 08:40:01	ga_ls5t_ard_3-0-0_091086_1996-06-13_final
1997-01-29 10:44:13	ga_ls5t_ard_3-0-0_110074_1997-01-29_final
1997-02-02 08:43:34	ga_ls5t_ard_3-0-0_090081_1997-02-01_final
1997-02-14 10:43:19	ga_ls5t_ard_3-0-0_110070_1997-02-14_final
1997-04-29 09:47:06	ga_ls5t_ard_3-0-0_100077_1997-04-29_final
1997-09-24 11:07:43	ga_ls5t_ard_3-0-0_112081_1997-09-24_final
1997-12-09 09:53:31	ga_ls5t_ard_3-0-0_100076_1997-12-09_final
1998-11-07 11:09:02	ga_ls5t_ard_3-0-0_111084_1998-11-07_final
1999-01-15 09:41:55	ga_ls5t_ard_3-0-0_098067_1999-01-15_final
1999-04-24 10:12:58	ga_ls5t_ard_3-0-0_103068_1999-04-24_final
2003-12-24 10:11:57	ga_ls5t_ard_3-1-0_102081_2003-12-24_final
2004-02-06 10:34:51	ga_ls5t_ard_3-0-0_106076_2004-02-06_final
2004-02-29 10:40:22	ga_ls5t_ard_3-0-0_107074_2004-02-29_final
2004-06-04 09:09:35	ga_ls5t_ard_3-0-0_091089_2004-06-03_final
2004-06-13 10:37:22	ga_ls5t_ard_3-0-0_106076_2004-06-13_final
2004-06-18 10:55:14	ga_ls5t_ard_3-0-0_109074_2004-06-18_final
2004-08-31 09:56:33	ga_ls5t_ard_3-0-0_099077_2004-08-31_final
2004-12-15 10:35:05	ga_ls5t_ard_3-0-0_105075_2004-12-15_final
2005-05-21 10:06:39	ga_ls5t_ard_3-0-0_100077_2005-05-21_final
2005-07-09 09:10:33	ga_ls5t_ard_3-1-0_091075_2005-07-08_final
2005-11-23 10:44:33	ga_ls5t_ard_3-0-0_106076_2005-11-23_final
2006-04-07 10:53:18	ga_ls5t_ard_3-0-0_107075_2006-04-07_final
2006-04-23 10:53:34	ga_ls5t_ard_3-0-0_107075_2006-04-23_final
2006-05-02 09:11:02	ga_ls5t_ard_3-0-0_090081_2006-05-01_final
2006-05-11 10:41:52	ga_ls5t_ard_3-0-0_105076_2006-05-11_final
2006-08-25 11:19:14	ga_ls5t_ard_3-0-0_111073_2006-08-25_final
2006-11-19 10:44:16	ga_ls5t_ard_3-0-0_105076_2006-11-19_final
2007-05-15 09:50:18	ga_ls5t_ard_3-0-0_096080_2007-05-15_final
2007-07-31 10:55:17	ga_ls5t_ard_3-0-0_107075_2007-07-31_final
2008-10-28 09:17:30	ga_ls5t_ard_3-0-0_092087_2008-10-27_final
2009-01-22 10:18:30	ga_ls5t_ard_3-0-0_102081_2009-01-22_final
2009-02-12 10:35:36	ga_ls5t_ard_3-0-0_105076_2009-02-12_final
2009-05-08 10:55:10	ga_ls5t_ard_3-0-0_108074_2009-05-08_final
2009-11-03 09:52:37	ga_ls5t_ard_3-0-0_097081_2009-11-03_final
2011-01-15 10:51:42	ga_ls5t_ard_3-0-0_107075_2011-01-15_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