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
1987-11-25 09:12:40	ga_ls5t_ard_3-0-0_095067_1987-11-24_final
1987-12-24 10:22:40	ga_ls5t_ard_3-0-0_106071_1987-12-24_final
1988-08-10 09:50:00	ga_ls5t_ard_3-0-0_100077_1988-08-10_final
1988-12-10 08:51:31	ga_ls5t_ard_3-0-0_090086_1988-12-09_final
1988-12-18 09:40:05	ga_ls5t_ard_3-0-0_098084_1988-12-18_final
1989-05-02 09:41:54	ga_ls5t_ard_3-0-0_099077_1989-05-02_final
1989-05-06 09:13:09	ga_ls5t_ard_3-0-0_095067_1989-05-05_final
1989-08-03 09:13:12	ga_ls5t_ard_3-0-0_094087_1989-08-02_final
1991-01-17 10:16:17	ga_ls5t_ard_3-0-0_106076_1991-01-17_final
1991-09-01 09:08:07	ga_ls5t_ard_3-0-0_095067_1991-08-31_final
1992-01-09 10:37:58	ga_ls5t_ard_3-0-0_109074_1992-01-09_final
1992-11-03 08:43:09	ga_ls5t_ard_3-0-0_090088_1992-11-02_final
1994-05-10 08:30:56	ga_ls5t_ard_3-1-0_089077_1994-05-09_final
1994-06-29 09:58:01	ga_ls5t_ard_3-0-0_103081_1994-06-29_final
1994-12-23 10:34:06	ga_ls5t_ard_3-0-0_110076_1994-12-23_final
1995-05-27 08:29:57	ga_ls5t_ard_3-1-0_091075_1995-05-26_final
1995-09-25 08:20:33	ga_ls5t_ard_3-0-0_090081_1995-09-24_final
1995-12-20 09:18:18	ga_ls5t_ard_3-0-0_100071_1995-12-19_final
1995-12-26 10:22:09	ga_ls5t_ard_3-0-0_110075_1995-12-26_final
1995-12-30 08:24:49	ga_ls5t_ard_3-1-0_090090_1995-12-29_final
1996-01-02 08:46:44	ga_ls5t_ard_3-0-0_095067_1996-01-01_final
1996-04-10 09:28:17	ga_ls5t_ard_3-0-0_100077_1996-04-09_final
1997-03-25 09:10:57	ga_ls5t_ard_3-0-0_095067_1997-03-24_final
1997-08-23 09:29:30	ga_ls5t_ard_3-0-0_096085_1997-08-22_final
1997-10-05 10:46:42	ga_ls5t_ard_3-0-0_109074_1997-10-05_final
1998-06-09 10:58:07	ga_ls5t_ard_3-0-0_110075_1998-06-09_final
1998-09-29 11:01:55	ga_ls5t_ard_3-0-0_110082_1998-09-29_final
1998-12-18 10:58:54	ga_ls5t_ard_3-0-0_110074_1998-12-18_final
1999-04-20 09:06:24	ga_ls5t_ard_3-0-0_091087_1999-04-19_final
1999-07-16 10:49:16	ga_ls5t_ard_3-1-0_108084_1999-07-16_final
2003-07-18 10:50:35	ga_ls5t_ard_3-0-0_109075_2003-07-18_final
2004-02-26 10:12:14	ga_ls5t_ard_3-0-0_102081_2004-02-26_final
2004-06-21 11:23:27	ga_ls5t_ard_3-0-0_114067_2004-06-21_final
2004-08-06 10:02:04	ga_ls5t_ard_3-0-0_100077_2004-08-06_final
2004-08-15 09:56:31	ga_ls5t_ard_3-0-0_099078_2004-08-15_final
2005-01-15 09:55:50	ga_ls5t_ard_3-0-0_098084_2005-01-15_final
2005-02-19 10:26:04	ga_ls5t_ard_3-0-0_103081_2005-02-19_final
2005-09-15 10:23:59	ga_ls5t_ard_3-0-0_103072_2005-09-15_final
2005-09-29 10:37:54	ga_ls5t_ard_3-0-0_105076_2005-09-29_final
2005-10-04 10:59:13	ga_ls5t_ard_3-0-0_108083_2005-10-04_final
2006-01-31 11:03:55	ga_ls5t_ard_3-0-0_109074_2006-01-31_final
2006-03-09 09:49:09	ga_ls5t_ard_3-0-0_096086_2006-03-09_final
2007-02-08 09:52:44	ga_ls5t_ard_3-0-0_096085_2007-02-08_final
2007-03-17 10:10:27	ga_ls5t_ard_3-0-0_099083_2007-03-17_final
2007-05-26 09:34:49	ga_ls5t_ard_3-0-0_093088_2007-05-26_final
2008-01-19 09:35:28	ga_ls5t_ard_3-0-0_095067_2008-01-19_final
2009-09-05 10:08:55	ga_ls5t_ard_3-0-0_100077_2009-09-05_final
2009-09-13 09:21:35	ga_ls5t_ard_3-0-0_092082_2009-09-12_final
2010-06-29 10:03:41	ga_ls5t_ard_3-0-0_099077_2010-06-29_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