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

49 results

Time (local)	Label
1986-08-23 09:25:54	ga_ls5t_ard_3-0-0_098071_1986-08-22_final
1987-05-27 09:49:36	ga_ls5t_ard_3-0-0_101077_1987-05-27_final
1987-10-11 09:46:18	ga_ls5t_ard_3-0-0_100076_1987-10-11_final
1988-01-27 10:15:18	ga_ls5t_ard_3-0-0_104082_1988-01-27_final
1988-05-07 10:35:16	ga_ls5t_ard_3-0-0_107083_1988-05-07_final
1988-07-24 10:45:14	ga_ls5t_ard_3-0-0_109076_1988-07-24_final
1988-12-05 10:08:45	ga_ls5t_ard_3-0-0_103078_1988-12-05_final
1989-02-05 10:19:50	ga_ls5t_ard_3-0-0_105076_1989-02-05_final
1989-07-28 09:44:02	ga_ls5t_ard_3-0-0_100071_1989-07-28_final
1990-05-12 09:37:34	ga_ls5t_ard_3-0-0_100072_1990-05-12_final
1990-09-10 09:29:46	ga_ls5t_ard_3-1-0_099069_1990-09-09_final
1990-10-12 09:33:31	ga_ls5t_ard_3-0-0_099079_1990-10-12_final
1991-02-17 09:34:47	ga_ls5t_ard_3-0-0_099079_1991-02-17_final
1991-04-22 09:31:56	ga_ls5t_ard_3-0-0_099069_1991-04-22_final
1991-05-25 10:15:24	ga_ls5t_ard_3-0-0_106068_1991-05-25_final
1991-09-14 10:21:27	ga_ls5t_ard_3-0-0_106080_1991-09-14_final
1992-03-16 11:10:25	ga_ls5t_ard_3-0-0_114078_1992-03-16_final
1994-12-31 09:46:23	ga_ls5t_ard_3-0-0_102081_1994-12-31_final
1995-04-27 09:57:51	ga_ls5t_ard_3-0-0_105075_1995-04-27_final
1995-05-16 08:53:24	ga_ls5t_ard_3-0-0_094086_1995-05-15_final
1995-12-29 09:12:23	ga_ls5t_ard_3-0-0_099070_1995-12-28_final
1996-01-14 09:16:19	ga_ls5t_ard_3-0-0_099077_1996-01-13_final
1996-03-12 08:20:03	ga_ls5t_ard_3-0-0_089081_1996-03-11_final
1996-06-09 09:56:29	ga_ls5t_ard_3-0-0_104077_1996-06-09_final
1996-12-15 09:32:56	ga_ls5t_ard_3-0-0_099071_1996-12-15_final
1997-05-01 09:35:13	ga_ls5t_ard_3-0-0_098078_1997-05-01_final
1998-01-31 10:10:04	ga_ls5t_ard_3-0-0_103068_1998-01-31_final
1998-03-18 08:49:57	ga_ls5t_ard_3-0-0_089082_1998-03-17_final
1998-05-27 09:51:09	ga_ls5t_ard_3-0-0_099078_1998-05-27_final
1998-06-02 10:51:27	ga_ls5t_ard_3-0-0_109074_1998-06-02_final
1998-10-07 10:09:42	ga_ls5t_ard_3-0-0_102075_1998-10-07_final
1999-04-03 09:58:00	ga_ls5t_ard_3-0-0_100077_1999-04-03_final
2003-07-03 09:53:31	ga_ls5t_ard_3-0-0_100072_2003-07-03_final
2003-08-23 10:26:54	ga_ls5t_ard_3-0-0_105076_2003-08-23_final
2003-09-05 09:57:00	ga_ls5t_ard_3-0-0_100078_2003-09-05_final
2004-01-09 10:12:01	ga_ls5t_ard_3-1-0_102081_2004-01-09_final
2004-02-05 09:51:59	ga_ls5t_ard_3-0-0_099077_2004-02-05_final
2004-10-02 10:00:08	ga_ls5t_ard_3-0-0_099084_2004-10-02_final
2005-06-04 10:20:43	ga_ls5t_ard_3-0-0_102081_2005-06-04_final
2005-10-12 10:07:20	ga_ls5t_ard_3-0-0_100077_2005-10-12_final
2005-11-21 09:20:47	ga_ls5t_ard_3-0-0_092083_2005-11-20_final
2006-10-03 11:26:17	ga_ls5t_ard_3-0-0_112074_2006-10-03_final
2007-06-16 09:51:24	ga_ls5t_ard_3-0-0_096084_2007-06-16_final
2007-08-24 10:06:48	ga_ls5t_ard_3-0-0_099078_2007-08-24_final
2008-01-11 10:30:39	ga_ls5t_ard_3-0-0_103081_2008-01-11_final
2008-01-25 09:05:03	ga_ls5t_ard_3-0-0_089084_2008-01-24_final
2009-12-14 11:22:52	ga_ls5t_ard_3-0-0_112074_2009-12-14_final
2010-04-27 10:43:37	ga_ls5t_ard_3-0-0_106068_2010-04-27_final
2010-08-16 10:03:26	ga_ls5t_ard_3-0-0_099077_2010-08-16_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