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

52 results

Time (local)	Label
1987-11-04 08:53:42	ga_ls5t_ard_3-0-0_092067_1987-11-03_final
1987-12-06 08:54:16	ga_ls5t_ard_3-0-0_092067_1987-12-05_final
1988-01-23 08:55:04	ga_ls5t_ard_3-0-0_092067_1988-01-22_final
1988-02-08 08:55:22	ga_ls5t_ard_3-0-0_092067_1988-02-07_final
1988-04-12 08:55:58	ga_ls5t_ard_3-0-0_092067_1988-04-11_final
1988-12-24 08:56:10	ga_ls5t_ard_3-0-0_092067_1988-12-23_final
1989-06-18 08:53:42	ga_ls5t_ard_3-0-0_092067_1989-06-17_final
1989-12-11 08:49:27	ga_ls5t_ard_3-0-0_092067_1989-12-10_final
1990-05-20 08:46:07	ga_ls5t_ard_3-0-0_092067_1990-05-19_final
1990-08-24 08:45:46	ga_ls5t_ard_3-0-0_092067_1990-08-23_final
1990-11-12 08:45:22	ga_ls5t_ard_3-0-0_092067_1990-11-11_final
1990-12-14 08:45:13	ga_ls5t_ard_3-0-0_092067_1990-12-13_final
1991-02-16 08:46:43	ga_ls5t_ard_3-0-0_092067_1991-02-15_final
1991-03-04 08:46:59	ga_ls5t_ard_3-0-0_092067_1991-03-03_final
1991-04-05 08:47:32	ga_ls5t_ard_3-0-0_092067_1991-04-04_final
1991-09-12 08:49:43	ga_ls5t_ard_3-0-0_092067_1991-09-11_final
1992-07-12 08:48:55	ga_ls5t_ard_3-0-0_092067_1992-07-11_final
1992-09-30 08:47:39	ga_ls5t_ard_3-0-0_092067_1992-09-29_final
1992-12-03 08:47:02	ga_ls5t_ard_3-0-0_092067_1992-12-02_final
1993-03-25 08:48:01	ga_ls5t_ard_3-0-0_092067_1993-03-24_final
1993-08-16 08:48:15	ga_ls5t_ard_3-0-0_092067_1993-08-15_final
1993-10-03 08:48:08	ga_ls5t_ard_3-0-0_092067_1993-10-02_final
1993-11-04 08:47:56	ga_ls5t_ard_3-0-0_092067_1993-11-03_final
1993-11-20 08:47:46	ga_ls5t_ard_3-0-0_092067_1993-11-19_final
1994-01-07 08:47:23	ga_ls5t_ard_3-0-0_092067_1994-01-06_final
1994-04-13 08:45:58	ga_ls5t_ard_3-0-0_092067_1994-04-12_final
1994-04-29 08:45:42	ga_ls5t_ard_3-0-0_092067_1994-04-28_final
1994-07-02 08:44:22	ga_ls5t_ard_3-0-0_092067_1994-07-01_final
1994-09-20 08:42:17	ga_ls5t_ard_3-0-0_092067_1994-09-19_final
1995-02-27 08:36:45	ga_ls5t_ard_3-0-0_092067_1995-02-26_final
1995-04-16 08:34:47	ga_ls5t_ard_3-0-0_092067_1995-04-15_final
1996-03-01 08:32:17	ga_ls5t_ard_3-0-0_092067_1996-02-29_final
1996-05-04 08:36:18	ga_ls5t_ard_3-0-0_092067_1996-05-03_final
1996-05-20 08:37:13	ga_ls5t_ard_3-1-0_092067_1996-05-19_final
1996-09-25 08:44:07	ga_ls5t_ard_3-0-0_092067_1996-09-24_final
1997-04-05 08:52:49	ga_ls5t_ard_3-0-0_092067_1997-04-04_final
1997-04-21 08:53:23	ga_ls5t_ard_3-0-0_092067_1997-04-20_final
1997-05-07 08:53:56	ga_ls5t_ard_3-0-0_092067_1997-05-06_final
1997-07-26 08:56:42	ga_ls5t_ard_3-0-0_092067_1997-07-25_final
1997-10-14 08:59:04	ga_ls5t_ard_3-0-0_092067_1997-10-13_final
1998-01-02 09:01:03	ga_ls5t_ard_3-0-0_092067_1998-01-01_final
1998-03-07 09:02:19	ga_ls5t_ard_3-0-0_092067_1998-03-06_final
1998-04-24 09:02:58	ga_ls5t_ard_3-0-0_092067_1998-04-23_final
1998-06-27 09:03:52	ga_ls5t_ard_3-0-0_092067_1998-06-26_final
1998-07-13 09:04:06	ga_ls5t_ard_3-0-0_092067_1998-07-12_final
1998-11-02 09:04:45	ga_ls5t_ard_3-0-0_092067_1998-11-01_final
1999-01-05 09:04:56	ga_ls5t_ard_3-0-0_092067_1999-01-04_final
1999-09-18 09:02:32	ga_ls5t_ard_3-0-0_092067_1999-09-17_final
2003-07-27 09:02:30	ga_ls5t_ard_3-0-0_092067_2003-07-26_final
2008-12-31 09:10:33	ga_ls5t_ard_3-0-0_092067_2008-12-30_final
2009-04-06 09:12:53	ga_ls5t_ard_3-0-0_092067_2009-04-05_final
2009-12-18 09:16:30	ga_ls5t_ard_3-0-0_092067_2009-12-17_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