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

43 results

Time (local)	Label
1987-07-15 10:32:42	ga_ls5t_ard_3-0-0_108074_1987-07-15_final
1988-01-22 09:53:52	ga_ls5t_ard_3-0-0_101075_1988-01-22_final
1988-11-15 10:31:57	ga_ls5t_ard_3-0-0_107074_1988-11-15_final
1990-04-03 09:33:33	ga_ls5t_ard_3-0-0_099078_1990-04-03_final
1990-05-12 09:37:34	ga_ls5t_ard_3-0-0_100072_1990-05-12_final
1990-08-01 10:21:47	ga_ls5t_ard_3-0-0_107075_1990-08-01_final
1990-11-27 09:46:47	ga_ls5t_ard_3-0-0_101082_1990-11-27_final
1991-04-19 09:07:45	ga_ls5t_ard_3-0-0_094086_1991-04-18_final
1991-05-16 10:24:10	ga_ls5t_ard_3-0-0_107075_1991-05-16_final
1991-09-13 11:16:16	ga_ls5t_ard_3-0-0_115078_1991-09-13_final
1992-01-20 10:17:27	ga_ls5t_ard_3-0-0_106069_1992-01-20_final
1992-02-01 10:44:38	ga_ls5t_ard_3-0-0_110075_1992-02-01_final
1992-07-05 10:24:53	ga_ls5t_ard_3-0-0_107075_1992-07-05_final
1992-08-06 10:24:29	ga_ls5t_ard_3-0-0_107075_1992-08-06_final
1992-10-25 10:22:47	ga_ls5t_ard_3-0-0_107074_1992-10-25_final
1994-06-09 10:20:26	ga_ls5t_ard_3-0-0_107074_1994-06-09_final
1995-06-04 09:19:49	ga_ls5t_ard_3-0-0_099077_1995-06-03_final
1995-08-04 08:50:10	ga_ls5t_ard_3-0-0_094087_1995-08-03_final
1996-04-28 09:17:25	ga_ls5t_ard_3-0-0_098078_1996-04-27_final
1996-12-21 08:57:43	ga_ls5t_ard_3-1-0_093075_1996-12-20_final
1997-09-12 10:39:52	ga_ls5t_ard_3-0-0_108074_1997-09-12_final
1998-01-12 09:43:33	ga_ls5t_ard_3-0-0_098080_1998-01-12_final
1998-06-10 10:00:55	ga_ls5t_ard_3-0-0_101071_1998-06-10_final
1998-08-03 09:24:46	ga_ls5t_ard_3-0-0_095072_1998-08-02_final
1998-11-03 09:49:37	ga_ls5t_ard_3-0-0_099071_1998-11-03_final
1999-05-23 09:45:37	ga_ls5t_ard_3-0-0_098078_1999-05-23_final
1999-07-17 11:29:44	ga_ls5t_ard_3-0-0_115077_1999-07-17_final
1999-08-18 09:50:40	ga_ls5t_ard_3-0-0_099077_1999-08-18_final
2003-11-18 10:34:20	ga_ls5t_ard_3-0-0_106076_2003-11-18_final
2004-02-09 09:25:41	ga_ls5t_ard_3-0-0_095073_2004-02-08_final
2004-04-24 10:47:29	ga_ls5t_ard_3-0-0_108074_2004-04-24_final
2004-06-27 10:49:21	ga_ls5t_ard_3-0-0_108074_2004-06-27_final
2004-09-16 11:35:52	ga_ls5t_ard_3-0-0_115077_2004-09-16_final
2004-12-30 09:54:03	ga_ls5t_ard_3-0-0_098080_2004-12-30_final
2005-03-01 11:00:30	ga_ls5t_ard_3-0-0_109074_2005-03-01_final
2005-06-25 09:04:06	ga_ls5t_ard_3-0-0_089090_2005-06-24_final
2005-10-21 10:01:58	ga_ls5t_ard_3-0-0_099079_2005-10-21_final
2005-11-16 09:03:19	ga_ls5t_ard_3-1-0_089086_2005-11-15_final
2007-06-20 11:04:41	ga_ls5t_ard_3-0-0_108082_2007-06-20_final
2007-08-15 10:13:29	ga_ls5t_ard_3-0-0_100079_2007-08-15_final
2009-04-07 10:00:57	ga_ls5t_ard_3-0-0_099079_2009-04-07_final
2009-04-22 10:58:03	ga_ls5t_ard_3-0-0_108082_2009-04-22_final
2009-11-01 10:00:35	ga_ls5t_ard_3-0-0_099070_2009-11-01_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