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
1988-01-18 10:21:43	ga_ls5t_ard_3-1-0_105083_1988-01-18_final
1988-02-02 09:33:09	ga_ls5t_ard_3-0-0_098069_1988-02-02_final
1988-06-22 10:44:20	ga_ls5t_ard_3-0-0_109074_1988-06-22_final
1988-12-18 09:38:05	ga_ls5t_ard_3-0-0_098079_1988-12-18_final
1989-01-06 10:09:45	ga_ls5t_ard_3-0-0_103081_1989-01-06_final
1989-01-18 10:31:25	ga_ls5t_ard_3-0-0_107074_1989-01-18_final
1989-01-20 10:22:35	ga_ls5t_ard_3-1-0_105083_1989-01-20_final
1989-07-06 10:25:08	ga_ls5t_ard_3-0-0_106080_1989-07-06_final
1990-05-02 10:40:23	ga_ls5t_ard_3-0-0_110075_1990-05-02_final
1990-12-31 09:30:56	ga_ls5t_ard_3-0-0_099072_1990-12-31_final
1991-09-02 09:56:59	ga_ls5t_ard_3-0-0_102081_1991-09-02_final
1992-01-02 08:50:32	ga_ls5t_ard_3-0-0_092068_1992-01-01_final
1992-01-11 08:52:18	ga_ls5t_ard_3-0-0_091088_1992-01-10_final
1992-06-27 09:36:45	ga_ls5t_ard_3-0-0_099078_1992-06-27_final
1994-11-16 10:15:55	ga_ls5t_ard_3-0-0_107074_1994-11-16_final
1995-01-27 09:25:15	ga_ls5t_ard_3-0-0_099077_1995-01-26_final
1995-03-13 10:30:37	ga_ls5t_ard_3-0-0_110075_1995-03-13_final
1995-03-25 09:13:58	ga_ls5t_ard_3-0-0_098070_1995-03-24_final
1996-02-09 09:51:37	ga_ls5t_ard_3-0-0_105068_1996-02-09_final
1996-12-31 09:33:18	ga_ls5t_ard_3-0-0_099070_1996-12-31_final
1997-04-29 09:47:06	ga_ls5t_ard_3-0-0_100077_1997-04-29_final
1997-07-26 08:56:42	ga_ls5t_ard_3-0-0_092067_1997-07-25_final
1997-10-25 10:20:07	ga_ls5t_ard_3-0-0_105068_1997-10-25_final
1998-12-04 09:07:37	ga_ls5t_ard_3-1-0_092074_1998-12-03_final
1999-01-26 11:05:08	ga_ls5t_ard_3-0-0_111074_1999-01-26_final
1999-02-08 09:00:15	ga_ls5t_ard_3-0-0_090086_1999-02-07_final
1999-08-01 10:44:51	ga_ls5t_ard_3-0-0_108073_1999-08-01_final
2003-08-01 09:21:08	ga_ls5t_ard_3-0-0_095067_2003-07-31_final
2004-02-22 10:34:57	ga_ls5t_ard_3-0-0_106076_2004-02-22_final
2004-07-05 09:58:56	ga_ls5t_ard_3-0-0_100071_2004-07-05_final
2005-06-20 10:20:50	ga_ls5t_ard_3-0-0_102081_2005-06-20_final
2005-11-27 10:21:55	ga_ls5t_ard_3-0-0_102081_2005-11-27_final
2006-10-22 10:19:41	ga_ls5t_ard_3-0-0_101077_2006-10-22_final
2007-01-02 09:34:03	ga_ls5t_ard_3-0-0_093085_2007-01-02_final
2007-07-21 10:16:42	ga_ls5t_ard_3-0-0_101071_2007-07-21_final
2008-01-19 09:37:52	ga_ls5t_ard_3-0-0_095073_2008-01-19_final
2008-01-22 10:12:18	ga_ls5t_ard_3-0-0_100082_2008-01-22_final
2008-02-16 10:04:05	ga_ls5t_ard_3-0-0_099078_2008-02-16_final
2008-03-20 10:43:07	ga_ls5t_ard_3-0-0_106069_2008-03-20_final
2009-03-30 09:09:45	ga_ls5t_ard_3-1-0_091075_2009-03-29_final
2009-06-20 09:00:31	ga_ls5t_ard_3-0-0_089079_2009-06-19_final
2010-01-16 10:30:14	ga_ls5t_ard_3-0-0_103081_2010-01-16_final
2010-11-15 11:19:16	ga_ls5t_ard_3-0-0_112067_2010-11-15_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