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

46 results

Time (local)	Label
1987-10-02 09:50:18	ga_ls5t_ard_3-0-0_101071_1987-10-02_final
1987-12-02 09:25:43	ga_ls5t_ard_3-0-0_096084_1987-12-01_final
1988-07-26 08:57:36	ga_ls5t_ard_3-0-0_091085_1988-07-25_final
1988-11-25 09:28:10	ga_ls5t_ard_3-0-0_097069_1988-11-24_final
1989-10-02 09:35:25	ga_ls5t_ard_3-0-0_098084_1989-10-02_final
1989-10-10 10:19:25	ga_ls5t_ard_3-0-0_106071_1989-10-10_final
1989-12-05 09:31:06	ga_ls5t_ard_3-0-0_098078_1989-12-05_final
1989-12-28 09:34:12	ga_ls5t_ard_3-0-0_099072_1989-12-28_final
1990-08-22 09:04:33	ga_ls5t_ard_3-0-0_094083_1990-08-21_final
1990-10-30 11:01:05	ga_ls5t_ard_3-0-0_113082_1990-10-30_final
1991-01-04 10:45:36	ga_ls5t_ard_3-0-0_111073_1991-01-04_final
1991-03-05 09:34:40	ga_ls5t_ard_3-0-0_099078_1991-03-05_final
1991-04-07 10:14:32	ga_ls5t_ard_3-0-0_106068_1991-04-07_final
1991-09-23 08:35:40	ga_ls5t_ard_3-1-0_089078_1991-09-22_final
1992-04-27 10:08:16	ga_ls5t_ard_3-1-0_104078_1992-04-27_final
1992-09-02 08:29:01	ga_ls5t_ard_3-1-0_088081_1992-09-01_final
1993-01-22 08:42:49	ga_ls5t_ard_3-0-0_090086_1993-01-21_final
1993-05-24 10:58:47	ga_ls5t_ard_3-0-0_112084_1993-05-24_final
1995-03-27 09:07:07	ga_ls5t_ard_3-0-0_096084_1995-03-26_final
1995-07-19 08:50:28	ga_ls5t_ard_3-0-0_094086_1995-07-18_final
1995-10-23 10:18:39	ga_ls5t_ard_3-0-0_110071_1995-10-23_final
1995-11-08 10:20:59	ga_ls5t_ard_3-0-0_110078_1995-11-08_final
1996-02-09 08:17:31	ga_ls5t_ard_3-0-0_089080_1996-02-08_final
1996-03-02 10:57:42	ga_ls5t_ard_3-0-0_115075_1996-03-02_final
1996-05-25 08:56:03	ga_ls5t_ard_3-0-0_095067_1996-05-24_final
1997-07-04 09:34:37	ga_ls5t_ard_3-0-0_098071_1997-07-04_final
1998-04-13 09:24:33	ga_ls5t_ard_3-0-0_095075_1998-04-12_final
1998-04-26 10:30:42	ga_ls5t_ard_3-0-0_106070_1998-04-26_final
1999-12-24 11:26:17	ga_ls5t_ard_3-0-0_115075_1999-12-24_final
2000-07-07 11:00:07	ga_ls5t_ard_3-0-0_111067_2000-07-07_final
2003-07-04 09:01:30	ga_ls5t_ard_3-0-0_091081_2003-07-03_final
2003-11-11 08:49:53	ga_ls5t_ard_3-0-0_089078_2003-11-10_final
2003-11-22 10:07:18	ga_ls5t_ard_3-0-0_102070_2003-11-22_final
2004-03-19 11:11:22	ga_ls5t_ard_3-0-0_112074_2004-03-19_final
2004-12-02 11:05:20	ga_ls5t_ard_3-0-0_110074_2004-12-02_final
2004-12-22 10:39:47	ga_ls5t_ard_3-0-0_106071_2004-12-22_final
2005-01-07 09:07:06	ga_ls5t_ard_3-0-0_090086_2005-01-06_final
2005-08-23 10:21:44	ga_ls5t_ard_3-0-0_102082_2005-08-23_final
2006-01-31 11:04:19	ga_ls5t_ard_3-0-0_109075_2006-01-31_final
2006-03-14 11:43:30	ga_ls5t_ard_3-0-0_115078_2006-03-14_final
2006-12-03 09:17:27	ga_ls5t_ard_3-1-0_091075_2006-12-02_final
2007-02-02 10:27:01	ga_ls5t_ard_3-0-0_102078_2007-02-02_final
2007-03-01 11:46:34	ga_ls5t_ard_3-0-0_115076_2007-03-01_final
2008-08-16 11:00:02	ga_ls5t_ard_3-0-0_109075_2008-08-16_final
2009-03-23 10:39:30	ga_ls5t_ard_3-0-0_106068_2009-03-23_final
2010-01-18 10:18:41	ga_ls5t_ard_3-0-0_101083_2010-01-18_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years