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

57 results

Time (local)	Label
1986-08-16 11:01:16	ga_ls5t_ard_3-0-0_113077_1986-08-16_final
1987-11-23 11:07:51	ga_ls5t_ard_3-0-0_113077_1987-11-23_final
1987-12-09 11:08:05	ga_ls5t_ard_3-0-0_113077_1987-12-09_final
1988-01-10 11:08:36	ga_ls5t_ard_3-0-0_113077_1988-01-10_final
1988-07-20 11:10:21	ga_ls5t_ard_3-0-0_113077_1988-07-20_final
1988-11-09 11:10:14	ga_ls5t_ard_3-0-0_113077_1988-11-09_final
1989-03-01 11:09:25	ga_ls5t_ard_3-0-0_113077_1989-03-01_final
1989-04-02 11:08:41	ga_ls5t_ard_3-0-0_113077_1989-04-02_final
1989-11-12 11:03:59	ga_ls5t_ard_3-0-0_113077_1989-11-12_final
1989-11-28 11:03:35	ga_ls5t_ard_3-0-0_113077_1989-11-28_final
1990-06-24 10:59:48	ga_ls5t_ard_3-0-0_113077_1990-06-24_final
1990-09-12 10:59:30	ga_ls5t_ard_3-0-0_113077_1990-09-12_final
1991-05-10 11:01:59	ga_ls5t_ard_3-0-0_113077_1991-05-10_final
1991-07-13 11:02:53	ga_ls5t_ard_3-0-0_113077_1991-07-13_final
1991-07-29 11:03:07	ga_ls5t_ard_3-0-0_113077_1991-07-29_final
1991-10-01 11:03:37	ga_ls5t_ard_3-0-0_113077_1991-10-01_final
1991-10-17 11:03:48	ga_ls5t_ard_3-0-0_113077_1991-10-17_final
1991-11-02 11:03:47	ga_ls5t_ard_3-0-0_113077_1991-11-02_final
1992-11-04 11:00:53	ga_ls5t_ard_3-0-0_113077_1992-11-04_final
1993-01-07 11:01:11	ga_ls5t_ard_3-0-0_113077_1993-01-07_final
1993-01-23 11:01:22	ga_ls5t_ard_3-0-0_113077_1993-01-23_final
1993-05-15 11:02:08	ga_ls5t_ard_3-0-0_113077_1993-05-15_final
1993-08-03 11:02:01	ga_ls5t_ard_3-0-0_113077_1993-08-03_final
1993-08-19 11:02:02	ga_ls5t_ard_3-0-0_113077_1993-08-19_final
1993-10-22 11:01:47	ga_ls5t_ard_3-0-0_113077_1993-10-22_final
1993-12-09 11:01:29	ga_ls5t_ard_3-0-0_113077_1993-12-09_final
1994-03-15 11:00:15	ga_ls5t_ard_3-0-0_113077_1994-03-15_final
1994-05-02 10:59:25	ga_ls5t_ard_3-0-0_113077_1994-05-02_final
1994-07-05 10:58:04	ga_ls5t_ard_3-0-0_113077_1994-07-05_final
1995-05-21 10:47:00	ga_ls5t_ard_3-0-0_113077_1995-05-21_final
1995-08-25 10:42:37	ga_ls5t_ard_3-0-0_113077_1995-08-25_final
1995-09-10 10:41:51	ga_ls5t_ard_3-0-0_113077_1995-09-10_final
1996-04-21 10:49:18	ga_ls5t_ard_3-0-0_113077_1996-04-21_final
1997-04-08 11:06:42	ga_ls5t_ard_3-0-0_113077_1997-04-08_final
1997-05-26 11:08:23	ga_ls5t_ard_3-0-0_113077_1997-05-26_final
1998-03-26 11:16:23	ga_ls5t_ard_3-0-0_113077_1998-03-26_final
1999-02-09 11:18:49	ga_ls5t_ard_3-0-0_113077_1999-02-09_final
1999-03-13 11:18:41	ga_ls5t_ard_3-0-0_113077_1999-03-13_final
1999-12-26 11:14:44	ga_ls5t_ard_3-0-0_113077_1999-12-26_final
2003-05-27 11:15:05	ga_ls5t_ard_3-0-0_113077_2003-05-27_final
2004-01-06 11:18:24	ga_ls5t_ard_3-0-0_113077_2004-01-06_final
2004-01-22 11:18:27	ga_ls5t_ard_3-0-0_113077_2004-01-22_final
2004-04-27 11:19:39	ga_ls5t_ard_3-0-0_113077_2004-04-27_final
2004-07-16 11:21:59	ga_ls5t_ard_3-0-0_113077_2004-07-16_final
2004-10-20 11:24:15	ga_ls5t_ard_3-0-0_113077_2004-10-20_final
2004-11-21 11:24:47	ga_ls5t_ard_3-0-0_113077_2004-11-21_final
2005-04-30 11:26:50	ga_ls5t_ard_3-0-0_113077_2005-04-30_final
2006-06-20 11:32:18	ga_ls5t_ard_3-0-0_113077_2006-06-20_final
2006-08-23 11:33:10	ga_ls5t_ard_3-0-0_113077_2006-08-23_final
2006-12-13 11:34:18	ga_ls5t_ard_3-0-0_113077_2006-12-13_final
2007-04-20 11:34:24	ga_ls5t_ard_3-0-0_113077_2007-04-20_final
2007-09-11 11:32:46	ga_ls5t_ard_3-0-0_113077_2007-09-11_final
2009-08-31 11:29:11	ga_ls5t_ard_3-0-0_113077_2009-08-31_final
2010-01-22 11:30:27	ga_ls5t_ard_3-0-0_113077_2010-01-22_final
2011-01-09 11:29:34	ga_ls5t_ard_3-0-0_113077_2011-01-09_final
2011-02-26 11:29:37	ga_ls5t_ard_3-0-0_113077_2011-02-26_final
2011-03-30 11:29:28	ga_ls5t_ard_3-0-0_113077_2011-03-30_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