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
1988-02-25 09:41:16	ga_ls5t_ard_3-0-0_099073_1988-02-25_final
1988-06-28 10:09:41	ga_ls5t_ard_3-0-0_103080_1988-06-28_final
1988-07-09 09:49:10	ga_ls5t_ard_3-0-0_100075_1988-07-09_final
1989-04-02 09:30:36	ga_ls5t_ard_3-0-0_097079_1989-04-02_final
1989-05-09 09:47:11	ga_ls5t_ard_3-0-0_100075_1989-05-09_final
1990-04-05 09:21:36	ga_ls5t_ard_3-0-0_097079_1990-04-04_final
1990-06-02 09:59:12	ga_ls5t_ard_3-0-0_103080_1990-06-02_final
1990-07-01 09:25:06	ga_ls5t_ard_3-0-0_098072_1990-06-30_final
1990-08-25 09:31:25	ga_ls5t_ard_3-0-0_099073_1990-08-25_final
1990-12-27 09:58:42	ga_ls5t_ard_3-0-0_103080_1990-12-27_final
1991-07-02 09:41:40	ga_ls5t_ard_3-0-0_100075_1991-07-02_final
1991-07-07 10:02:15	ga_ls5t_ard_3-0-0_103080_1991-07-07_final
1991-09-25 10:02:58	ga_ls5t_ard_3-0-0_103080_1991-09-25_final
1992-03-14 09:42:40	ga_ls5t_ard_3-0-0_100075_1992-03-14_final
1992-03-30 09:42:34	ga_ls5t_ard_3-0-0_100075_1992-03-30_final
1992-05-28 09:25:08	ga_ls5t_ard_3-0-0_097079_1992-05-27_final
1993-03-06 10:01:09	ga_ls5t_ard_3-0-0_103080_1993-03-06_final
1993-10-22 09:23:41	ga_ls5t_ard_3-0-0_097079_1993-10-21_final
1994-07-31 09:56:44	ga_ls5t_ard_3-0-0_103080_1994-07-31_final
1994-09-01 09:55:57	ga_ls5t_ard_3-0-0_103080_1994-09-01_final
1994-10-25 09:16:53	ga_ls5t_ard_3-0-0_097079_1994-10-24_final
1995-02-08 09:50:41	ga_ls5t_ard_3-0-0_103080_1995-02-08_final
1996-05-07 09:12:10	ga_ls5t_ard_3-0-0_097079_1996-05-06_final
1996-10-08 09:57:58	ga_ls5t_ard_3-0-0_103080_1996-10-08_final
1996-12-01 09:23:06	ga_ls5t_ard_3-0-0_097079_1996-11-30_final
1997-05-20 10:07:34	ga_ls5t_ard_3-0-0_103080_1997-05-20_final
1997-09-25 10:11:43	ga_ls5t_ard_3-0-0_103080_1997-09-25_final
1998-11-15 10:18:04	ga_ls5t_ard_3-0-0_103080_1998-11-15_final
1999-04-24 10:17:46	ga_ls5t_ard_3-0-0_103080_1999-04-24_final
1999-06-06 09:56:31	ga_ls5t_ard_3-0-0_100075_1999-06-06_final
1999-08-30 10:16:19	ga_ls5t_ard_3-0-0_103080_1999-08-30_final
2003-07-24 10:15:36	ga_ls5t_ard_3-0-0_103080_2003-07-24_final
2003-09-05 09:55:49	ga_ls5t_ard_3-0-0_100075_2003-09-05_final
2003-10-07 09:56:17	ga_ls5t_ard_3-0-0_100075_2003-10-07_final
2004-04-21 10:18:53	ga_ls5t_ard_3-0-0_103080_2004-04-21_final
2004-05-29 09:42:29	ga_ls5t_ard_3-0-0_097079_2004-05-29_final
2004-06-14 09:42:58	ga_ls5t_ard_3-0-0_097079_2004-06-14_final
2004-07-05 10:00:32	ga_ls5t_ard_3-0-0_100075_2004-07-05_final
2004-07-10 10:21:13	ga_ls5t_ard_3-0-0_103080_2004-07-10_final
2004-07-26 10:21:36	ga_ls5t_ard_3-0-0_103080_2004-07-26_final
2004-09-23 10:02:31	ga_ls5t_ard_3-0-0_100075_2004-09-23_final
2004-10-14 10:23:31	ga_ls5t_ard_3-0-0_103080_2004-10-14_final
2005-02-09 09:48:01	ga_ls5t_ard_3-0-0_097079_2005-02-09_final
2006-05-29 10:31:21	ga_ls5t_ard_3-0-0_103080_2006-05-29_final
2007-03-29 10:33:55	ga_ls5t_ard_3-0-0_103080_2007-03-29_final
2007-06-12 10:12:36	ga_ls5t_ard_3-0-0_100075_2007-06-12_final
2007-06-17 10:33:03	ga_ls5t_ard_3-0-0_103080_2007-06-17_final
2008-10-04 10:02:58	ga_ls5t_ard_3-0-0_100075_2008-10-04_final
2009-08-04 10:07:39	ga_ls5t_ard_3-0-0_100075_2009-08-04_final
2010-04-06 10:29:57	ga_ls5t_ard_3-0-0_103080_2010-04-06_final
2010-10-21 09:51:27	ga_ls5t_ard_3-0-0_097079_2010-10-21_final
2011-08-10 10:07:23	ga_ls5t_ard_3-0-0_100075_2011-08-10_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