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

62 results

Time (local)	Label
1987-09-26 08:54:46	ga_ls5t_ard_3-0-0_091087_1987-09-25_final
1987-11-09 10:54:50	ga_ls5t_ard_3-0-0_111076_1987-11-09_final
1987-12-06 09:02:15	ga_ls5t_ard_3-0-0_092087_1987-12-05_final
1988-06-16 09:40:31	ga_ls5t_ard_3-0-0_099069_1988-06-16_final
1988-06-27 09:28:01	ga_ls5t_ard_3-0-0_096084_1988-06-26_final
1988-08-08 10:03:58	ga_ls5t_ard_3-0-0_102081_1988-08-08_final
1988-10-24 11:06:12	ga_ls5t_ard_3-0-0_113067_1988-10-24_final
1989-03-19 10:55:08	ga_ls5t_ard_3-0-0_111074_1989-03-19_final
1989-06-16 10:46:33	ga_ls5t_ard_3-0-0_110071_1989-06-16_final
1989-07-27 10:44:04	ga_ls5t_ard_3-0-0_109082_1989-07-27_final
1990-06-11 09:50:14	ga_ls5t_ard_3-0-0_102073_1990-06-11_final
1990-07-23 10:31:12	ga_ls5t_ard_3-0-0_108083_1990-07-23_final
1990-12-13 09:44:25	ga_ls5t_ard_3-0-0_101076_1990-12-13_final
1991-07-03 08:52:03	ga_ls5t_ard_3-0-0_091090_1991-07-02_final
1991-07-15 09:10:05	ga_ls5t_ard_3-0-0_095073_1991-07-14_final
1991-12-17 08:53:27	ga_ls5t_ard_3-0-0_092075_1991-12-16_final
1992-02-21 10:20:56	ga_ls5t_ard_3-0-0_106078_1992-02-21_final
1992-03-15 08:52:15	ga_ls5t_ard_3-0-0_091088_1992-03-14_final
1992-07-12 10:30:59	ga_ls5t_ard_3-0-0_108075_1992-07-12_final
1992-11-02 09:35:12	ga_ls5t_ard_3-0-0_099079_1992-11-02_final
1993-07-19 10:04:49	ga_ls5t_ard_3-1-0_104073_1993-07-19_final
1993-10-28 10:23:29	ga_ls5t_ard_3-0-0_107074_1993-10-28_final
1994-01-10 09:21:02	ga_ls5t_ard_3-0-0_097074_1994-01-09_final
1994-10-31 08:38:23	ga_ls5t_ard_3-0-0_091076_1994-10-30_final
1994-11-18 08:27:48	ga_ls5t_ard_3-0-0_089082_1994-11-17_final
1995-04-18 08:26:20	ga_ls5t_ard_3-0-0_090077_1995-04-17_final
1995-08-04 08:50:10	ga_ls5t_ard_3-0-0_094087_1995-08-03_final
1996-05-09 10:36:25	ga_ls5t_ard_3-0-0_111073_1996-05-09_final
1996-06-30 10:15:21	ga_ls5t_ard_3-0-0_107075_1996-06-30_final
1998-05-03 10:40:36	ga_ls5t_ard_3-0-0_107079_1998-05-03_final
1998-06-06 10:24:23	ga_ls5t_ard_3-0-0_105068_1998-06-06_final
1998-11-06 10:24:57	ga_ls5t_ard_3-0-0_104082_1998-11-06_final
1999-06-07 10:40:10	ga_ls5t_ard_3-0-0_107076_1999-06-07_final
1999-07-07 10:52:18	ga_ls5t_ard_3-0-0_109076_1999-07-07_final
2003-10-06 10:52:18	ga_ls5t_ard_3-0-0_109076_2003-10-06_final
2004-07-06 09:08:32	ga_ls5t_ard_3-0-0_091084_2004-07-05_final
2004-08-17 11:21:30	ga_ls5t_ard_3-0-0_113074_2004-08-17_final
2004-09-08 10:47:00	ga_ls5t_ard_3-0-0_107079_2004-09-08_final
2004-12-03 10:10:08	ga_ls5t_ard_3-0-0_101075_2004-12-03_final
2005-03-17 11:00:42	ga_ls5t_ard_3-0-0_109074_2005-03-17_final
2005-04-14 09:50:40	ga_ls5t_ard_3-0-0_097084_2005-04-14_final
2005-06-07 10:49:15	ga_ls5t_ard_3-1-0_107075_2005-06-07_final
2005-11-01 11:17:32	ga_ls5t_ard_3-1-0_112067_2005-11-01_final
2006-05-12 09:49:27	ga_ls5t_ard_3-0-0_096084_2006-05-12_final
2006-06-27 10:02:54	ga_ls5t_ard_3-0-0_098085_2006-06-27_final
2006-12-09 10:22:06	ga_ls5t_ard_3-0-0_101082_2006-12-09_final
2007-01-09 11:14:21	ga_ls5t_ard_3-0-0_110073_2007-01-09_final
2007-03-05 11:20:39	ga_ls5t_ard_3-0-0_111073_2007-03-05_final
2007-04-04 11:30:31	ga_ls5t_ard_3-0-0_113067_2007-04-04_final
2007-05-29 09:58:29	ga_ls5t_ard_3-0-0_098070_2007-05-29_final
2007-06-26 10:25:06	ga_ls5t_ard_3-0-0_102076_2007-06-26_final
2007-07-02 09:51:32	ga_ls5t_ard_3-0-0_096085_2007-07-02_final
2007-08-22 10:19:11	ga_ls5t_ard_3-0-0_101078_2007-08-22_final
2008-02-10 10:39:41	ga_ls5t_ard_3-0-0_105074_2008-02-10_final
2009-01-25 09:08:36	ga_ls5t_ard_3-0-0_091076_2009-01-24_final
2009-08-09 10:28:39	ga_ls5t_ard_3-0-0_103081_2009-08-09_final
2009-08-20 10:06:17	ga_ls5t_ard_3-0-0_100071_2009-08-20_final
2009-11-05 11:15:58	ga_ls5t_ard_3-0-0_111073_2009-11-05_final
2009-11-15 10:13:26	ga_ls5t_ard_3-0-0_101071_2009-11-15_final
2009-11-23 11:08:08	ga_ls5t_ard_3-0-0_109084_2009-11-23_final
2011-03-28 11:41:02	ga_ls5t_ard_3-0-0_115075_2011-03-28_final
2011-07-18 10:02:38	ga_ls5t_ard_3-0-0_099078_2011-07-18_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