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

58 results

Time (local)	Label
1987-09-10 10:28:29	ga_ls5t_ard_3-0-0_107075_1987-09-10_final
1987-11-05 09:41:46	ga_ls5t_ard_3-0-0_099079_1987-11-05_final
1988-09-20 11:22:20	ga_ls5t_ard_3-0-0_115076_1988-09-20_final
1989-03-20 09:59:30	ga_ls5t_ard_3-0-0_102074_1989-03-20_final
1989-04-14 09:54:35	ga_ls5t_ard_3-0-0_101077_1989-04-14_final
1989-06-26 09:44:39	ga_ls5t_ard_3-0-0_100071_1989-06-26_final
1990-04-25 08:59:28	ga_ls5t_ard_3-0-0_093085_1990-04-24_final
1990-07-13 09:53:22	ga_ls5t_ard_3-0-0_102081_1990-07-13_final
1992-05-12 09:27:16	ga_ls5t_ard_3-0-0_097084_1992-05-11_final
1993-01-29 10:23:33	ga_ls5t_ard_3-0-0_107075_1993-01-29_final
1993-04-11 11:13:29	ga_ls5t_ard_3-0-0_115075_1993-04-11_final
1993-08-24 09:41:40	ga_ls5t_ard_3-0-0_100077_1993-08-24_final
1994-04-01 10:02:46	ga_ls5t_ard_3-0-0_104073_1994-04-01_final
1994-10-03 09:50:18	ga_ls5t_ard_3-0-0_103068_1994-10-03_final
1995-04-27 09:57:51	ga_ls5t_ard_3-0-0_105075_1995-04-27_final
1995-08-31 08:28:46	ga_ls5t_ard_3-0-0_091083_1995-08-30_final
1995-09-12 08:46:31	ga_ls5t_ard_3-0-0_095067_1995-09-11_final
1996-07-08 09:27:31	ga_ls5t_ard_3-0-0_099078_1996-07-07_final
1996-08-01 08:38:09	ga_ls5t_ard_3-1-0_091075_1996-07-31_final
1996-08-26 08:38:29	ga_ls5t_ard_3-0-0_090088_1996-08-25_final
1996-09-21 09:15:25	ga_ls5t_ard_3-0-0_096084_1996-09-20_final
1996-11-03 10:33:57	ga_ls5t_ard_3-0-0_109074_1996-11-03_final
1996-12-27 09:57:02	ga_ls5t_ard_3-0-0_103068_1996-12-27_final
1997-03-21 09:39:55	ga_ls5t_ard_3-0-0_099078_1997-03-21_final
1997-08-12 09:44:54	ga_ls5t_ard_3-0-0_099078_1997-08-12_final
1997-09-01 09:16:24	ga_ls5t_ard_3-0-0_095067_1997-08-31_final
1997-09-28 10:40:19	ga_ls5t_ard_3-0-0_108074_1997-09-28_final
1998-04-09 09:52:50	ga_ls5t_ard_3-0-0_099084_1998-04-09_final
1998-09-14 10:06:14	ga_ls5t_ard_3-1-0_101082_1998-09-14_final
1998-12-16 09:36:20	ga_ls5t_ard_3-0-0_096084_1998-12-16_final
1999-02-11 09:29:36	ga_ls5t_ard_3-0-0_095082_1999-02-10_final
1999-12-05 10:55:02	ga_ls5t_ard_3-1-0_110074_1999-12-05_final
2003-07-12 09:49:52	ga_ls5t_ard_3-0-0_099078_2003-07-12_final
2003-07-13 10:32:21	ga_ls5t_ard_3-0-0_106076_2003-07-13_final
2003-08-30 10:33:13	ga_ls5t_ard_3-0-0_106076_2003-08-30_final
2003-10-07 09:54:41	ga_ls5t_ard_3-0-0_100071_2003-10-07_final
2003-10-10 10:27:38	ga_ls5t_ard_3-0-0_105076_2003-10-10_final
2004-01-05 10:32:45	ga_ls5t_ard_3-0-0_106071_2004-01-05_final
2004-01-12 10:40:32	ga_ls5t_ard_3-0-0_107075_2004-01-12_final
2004-07-20 10:56:33	ga_ls5t_ard_3-0-0_109075_2004-07-20_final
2004-12-27 11:00:00	ga_ls5t_ard_3-0-0_109075_2004-12-27_final
2005-03-09 10:09:58	ga_ls5t_ard_3-0-0_101071_2005-03-09_final
2006-01-31 11:04:19	ga_ls5t_ard_3-0-0_109075_2006-01-31_final
2006-08-02 11:13:33	ga_ls5t_ard_3-0-0_110075_2006-08-02_final
2006-08-25 11:19:38	ga_ls5t_ard_3-0-0_111074_2006-08-25_final
2007-03-14 11:14:51	ga_ls5t_ard_3-0-0_110074_2007-03-14_final
2007-08-26 11:35:18	ga_ls5t_ard_3-0-0_113083_2007-08-26_final
2008-02-28 10:26:12	ga_ls5t_ard_3-0-0_103072_2008-02-28_final
2008-03-12 09:53:02	ga_ls5t_ard_3-1-0_098067_2008-03-12_final
2008-03-29 10:39:32	ga_ls5t_ard_3-0-0_105076_2008-03-29_final
2009-03-10 09:30:50	ga_ls5t_ard_3-0-0_095067_2009-03-10_final
2009-03-23 10:39:30	ga_ls5t_ard_3-0-0_106068_2009-03-23_final
2009-05-14 10:15:48	ga_ls5t_ard_3-1-0_102068_2009-05-14_final
2009-09-03 10:22:51	ga_ls5t_ard_3-0-0_102081_2009-09-03_final
2009-10-17 09:10:48	ga_ls5t_ard_3-0-0_090085_2009-10-16_final
2009-12-02 09:19:09	ga_ls5t_ard_3-1-0_092074_2009-12-01_final
2011-02-21 09:30:36	ga_ls5t_ard_3-1-0_094073_2011-02-21_final
2011-06-23 10:08:35	ga_ls5t_ard_3-0-0_100077_2011-06-23_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