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
1989-03-16 08:51:56	ga_ls5t_ard_3-1-0_090090_1989-03-15_final
1989-11-11 08:47:05	ga_ls5t_ard_3-1-0_090090_1989-11-10_final
1994-11-16 08:43:25	ga_ls5t_ard_3-0-0_091090_1994-11-15_final
1994-11-18 08:30:59	ga_ls5t_ard_3-1-0_089090_1994-11-17_final
1994-12-02 08:42:55	ga_ls5t_ard_3-0-0_091090_1994-12-01_final
1994-12-04 08:30:30	ga_ls5t_ard_3-0-0_089090_1994-12-03_final
1994-12-11 08:36:29	ga_ls5t_ard_3-0-0_090090_1994-12-10_final
1994-12-20 08:30:01	ga_ls5t_ard_3-1-0_089090_1994-12-19_final
1995-01-05 08:29:28	ga_ls5t_ard_3-0-0_089090_1995-01-04_final
1995-02-04 08:40:41	ga_ls5t_ard_3-0-0_091090_1995-02-03_final
1995-02-06 08:28:14	ga_ls5t_ard_3-1-0_089090_1995-02-05_final
1995-02-13 08:34:07	ga_ls5t_ard_3-1-0_090090_1995-02-12_final
1995-02-20 08:40:01	ga_ls5t_ard_3-0-0_091090_1995-02-19_final
1995-02-22 08:27:35	ga_ls5t_ard_3-0-0_089090_1995-02-21_final
1995-03-01 08:33:29	ga_ls5t_ard_3-1-0_090090_1995-02-28_final
1995-03-10 08:26:57	ga_ls5t_ard_3-1-0_089090_1995-03-09_final
1995-03-17 08:32:50	ga_ls5t_ard_3-0-0_090090_1995-03-16_final
1995-04-02 08:32:11	ga_ls5t_ard_3-0-0_090090_1995-04-01_final
1995-04-18 08:31:32	ga_ls5t_ard_3-1-0_090090_1995-04-17_final
1995-05-04 08:30:49	ga_ls5t_ard_3-1-0_090090_1995-05-03_final
1995-05-13 08:24:14	ga_ls5t_ard_3-1-0_089090_1995-05-12_final
1995-05-20 08:30:06	ga_ls5t_ard_3-1-0_090090_1995-05-19_final
1995-05-29 08:23:29	ga_ls5t_ard_3-0-0_089090_1995-05-28_final
1995-06-05 08:29:20	ga_ls5t_ard_3-1-0_090090_1995-06-04_final
1995-06-14 08:22:44	ga_ls5t_ard_3-1-0_089090_1995-06-13_final
1995-06-21 08:28:37	ga_ls5t_ard_3-1-0_090090_1995-06-20_final
1995-07-16 08:21:18	ga_ls5t_ard_3-0-0_089090_1995-07-15_final
1995-07-30 08:33:03	ga_ls5t_ard_3-0-0_091090_1995-07-29_final
1995-08-01 08:20:36	ga_ls5t_ard_3-0-0_089090_1995-07-31_final
1995-08-08 08:26:28	ga_ls5t_ard_3-1-0_090090_1995-08-07_final
1995-08-24 08:25:43	ga_ls5t_ard_3-1-0_090090_1995-08-23_final
1995-09-09 08:24:57	ga_ls5t_ard_3-1-0_090090_1995-09-08_final
1995-09-18 08:18:19	ga_ls5t_ard_3-0-0_089090_1995-09-17_final
1995-10-11 08:23:17	ga_ls5t_ard_3-1-0_090090_1995-10-10_final
1995-10-18 08:29:05	ga_ls5t_ard_3-0-0_091090_1995-10-17_final
1995-10-20 08:16:37	ga_ls5t_ard_3-0-0_089090_1995-10-19_final
1995-10-27 08:22:24	ga_ls5t_ard_3-1-0_090090_1995-10-26_final
1998-10-03 09:01:31	ga_ls5t_ard_3-1-0_090090_1998-10-02_final
1998-10-10 09:07:42	ga_ls5t_ard_3-0-0_091090_1998-10-09_final
1998-11-11 09:07:52	ga_ls5t_ard_3-0-0_091090_1998-11-10_final
1998-11-20 09:01:43	ga_ls5t_ard_3-1-0_090090_1998-11-19_final
1998-12-06 09:01:39	ga_ls5t_ard_3-1-0_090090_1998-12-05_final
1999-04-04 09:07:34	ga_ls5t_ard_3-0-0_091090_1999-04-03_final
1999-06-09 08:54:28	ga_ls5t_ard_3-0-0_089090_1999-06-08_final
1999-09-27 09:05:22	ga_ls5t_ard_3-0-0_091090_1999-09-26_final
1999-11-30 09:04:04	ga_ls5t_ard_3-0-0_091090_1999-11-29_final
1999-12-09 08:57:48	ga_ls5t_ard_3-0-0_090090_1999-12-08_final
2003-08-14 08:59:37	ga_ls5t_ard_3-1-0_090090_2003-08-13_final
2005-04-22 09:03:39	ga_ls5t_ard_3-0-0_089090_2005-04-21_final
2005-07-02 09:10:18	ga_ls5t_ard_3-0-0_090090_2005-07-01_final
2006-10-18 09:10:40	ga_ls5t_ard_3-0-0_089090_2006-10-17_final
2007-07-08 09:16:24	ga_ls5t_ard_3-0-0_090090_2007-07-07_final
2007-07-15 09:22:32	ga_ls5t_ard_3-0-0_091090_2007-07-14_final
2007-09-03 09:09:42	ga_ls5t_ard_3-1-0_089090_2007-09-02_final
2008-01-16 09:13:48	ga_ls5t_ard_3-1-0_090090_2008-01-15_final
2008-01-23 09:19:50	ga_ls5t_ard_3-0-0_091090_2008-01-22_final
2008-02-17 09:13:14	ga_ls5t_ard_3-1-0_090090_2008-02-16_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