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
1987-05-24 09:14:38	ga_ls5t_ard_3-0-0_096067_1987-05-23_final
1987-11-29 08:54:47	ga_ls5t_ard_3-0-0_091084_1987-11-28_final
1988-03-07 09:20:26	ga_ls5t_ard_3-0-0_096067_1988-03-06_final
1988-07-06 09:15:04	ga_ls5t_ard_3-0-0_095067_1988-07-05_final
1989-02-11 09:41:31	ga_ls5t_ard_3-0-0_099073_1989-02-11_final
1989-03-19 09:13:28	ga_ls5t_ard_3-0-0_095067_1989-03-18_final
1989-07-23 09:24:47	ga_ls5t_ard_3-0-0_097069_1989-07-22_final
1989-09-02 09:16:56	ga_ls5t_ard_3-0-0_096067_1989-09-01_final
1990-07-12 09:04:32	ga_ls5t_ard_3-0-0_095067_1990-07-11_final
1990-12-02 08:25:32	ga_ls5t_ard_3-0-0_088080_1990-12-01_final
1990-12-24 09:24:09	ga_ls5t_ard_3-0-0_098071_1990-12-23_final
1991-02-18 10:19:16	ga_ls5t_ard_3-0-0_106082_1991-02-18_final
1991-03-25 09:06:00	ga_ls5t_ard_3-0-0_095067_1991-03-24_final
1991-04-26 09:06:27	ga_ls5t_ard_3-0-0_095067_1991-04-25_final
1991-08-02 08:55:55	ga_ls5t_ard_3-1-0_093068_1991-08-01_final
1992-01-04 10:23:02	ga_ls5t_ard_3-0-0_106083_1992-01-04_final
1992-05-02 08:50:17	ga_ls5t_ard_3-0-0_091084_1992-05-01_final
1992-06-06 09:14:05	ga_ls5t_ard_3-0-0_096067_1992-06-05_final
1993-09-06 09:06:46	ga_ls5t_ard_3-0-0_095067_1993-09-05_final
1993-10-23 10:07:45	ga_ls5t_ard_3-0-0_104081_1993-10-23_final
1994-04-25 09:10:29	ga_ls5t_ard_3-0-0_096067_1994-04-24_final
1994-07-14 09:08:46	ga_ls5t_ard_3-0-0_096067_1994-07-13_final
1994-12-13 09:59:45	ga_ls5t_ard_3-0-0_104082_1994-12-13_final
1995-03-04 08:55:06	ga_ls5t_ard_3-0-0_095067_1995-03-03_final
1995-05-07 08:52:24	ga_ls5t_ard_3-0-0_095067_1995-05-06_final
1995-08-02 08:54:37	ga_ls5t_ard_3-0-0_096067_1995-08-01_final
1996-02-10 08:55:40	ga_ls5t_ard_3-0-0_096067_1996-02-09_final
1996-02-17 09:03:07	ga_ls5t_ard_3-1-0_097069_1996-02-16_final
1996-04-13 08:25:40	ga_ls5t_ard_3-1-0_089090_1996-04-12_final
1996-04-14 08:59:49	ga_ls5t_ard_3-0-0_096067_1996-04-13_final
1996-06-17 09:03:29	ga_ls5t_ard_3-0-0_096067_1996-06-16_final
1997-09-08 09:22:47	ga_ls5t_ard_3-0-0_096067_1997-09-07_final
1998-03-30 09:09:13	ga_ls5t_ard_3-1-0_093068_1998-03-29_final
1998-07-25 09:28:54	ga_ls5t_ard_3-0-0_096067_1998-07-24_final
1998-08-14 09:13:06	ga_ls5t_ard_3-0-0_092089_1998-08-13_final
1999-09-14 09:27:21	ga_ls5t_ard_3-0-0_096067_1999-09-13_final
1999-11-29 09:54:08	ga_ls5t_ard_3-0-0_100076_1999-11-29_final
2004-03-19 09:29:42	ga_ls5t_ard_3-0-0_096067_2004-03-18_final
2004-05-10 10:48:44	ga_ls5t_ard_3-0-0_108076_2004-05-10_final
2005-06-25 08:59:19	ga_ls5t_ard_3-0-0_089078_2005-06-24_final
2007-06-14 11:41:05	ga_ls5t_ard_3-0-0_114080_2007-06-14_final
2008-02-23 10:09:44	ga_ls5t_ard_3-0-0_100077_2008-02-23_final
2008-04-08 09:33:54	ga_ls5t_ard_3-1-0_095067_2008-04-08_final
2008-04-15 09:39:55	ga_ls5t_ard_3-0-0_096067_2008-04-15_final
2009-03-29 10:06:09	ga_ls5t_ard_3-0-0_100077_2009-03-29_final
2011-01-13 11:04:03	ga_ls5t_ard_3-0-0_109075_2011-01-13_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