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

52 results

Time (local)	Label
1987-10-21 08:48:39	ga_ls5t_ard_3-0-0_090086_1987-10-20_final
1988-01-02 08:42:33	ga_ls5t_ard_3-0-0_089083_1988-01-01_final
1988-04-28 09:01:38	ga_ls5t_ard_3-0-0_092081_1988-04-27_final
1988-11-13 09:03:02	ga_ls5t_ard_3-1-0_093068_1988-11-12_final
1988-11-26 08:37:20	ga_ls5t_ard_3-0-0_088081_1988-11-25_final
1989-07-16 09:17:57	ga_ls5t_ard_3-0-0_096067_1989-07-15_final
1989-08-08 09:24:27	ga_ls5t_ard_3-1-0_097069_1989-08-07_final
1990-08-27 09:17:28	ga_ls5t_ard_3-0-0_097069_1990-08-26_final
1991-01-26 10:12:43	ga_ls5t_ard_3-0-0_105082_1991-01-26_final
1991-02-02 10:18:56	ga_ls5t_ard_3-0-0_106082_1991-02-02_final
1991-09-16 10:09:32	ga_ls5t_ard_3-0-0_104081_1991-09-16_final
1991-10-19 09:08:34	ga_ls5t_ard_3-0-0_095067_1991-10-18_final
1991-11-09 09:28:44	ga_ls5t_ard_3-0-0_098071_1991-11-08_final
1991-11-20 09:08:36	ga_ls5t_ard_3-0-0_095067_1991-11-19_final
1992-11-29 09:11:41	ga_ls5t_ard_3-0-0_096067_1992-11-28_final
1993-03-21 09:12:45	ga_ls5t_ard_3-0-0_096067_1993-03-20_final
1993-10-04 11:15:28	ga_ls5t_ard_3-1-0_115080_1993-10-04_final
1994-04-02 09:04:44	ga_ls5t_ard_3-0-0_095067_1994-04-01_final
1994-05-24 08:39:28	ga_ls5t_ard_3-1-0_091068_1994-05-23_final
1994-06-12 09:17:10	ga_ls5t_ard_3-0-0_096086_1994-06-11_final
1994-11-30 08:46:34	ga_ls5t_ard_3-1-0_093068_1994-11-29_final
1996-03-22 08:52:12	ga_ls5t_ard_3-0-0_095067_1996-03-21_final
1996-06-26 09:05:22	ga_ls5t_ard_3-0-0_095086_1996-06-25_final
1996-09-14 10:42:33	ga_ls5t_ard_3-1-0_111071_1996-09-14_final
1996-10-03 09:38:22	ga_ls5t_ard_3-0-0_100078_1996-10-03_final
1997-01-18 10:59:28	ga_ls5t_ard_3-0-0_113067_1997-01-18_final
1997-10-21 09:05:51	ga_ls5t_ard_3-1-0_093068_1997-10-20_final
1997-11-09 11:15:43	ga_ls5t_ard_3-0-0_114067_1997-11-09_final
1998-02-26 09:11:57	ga_ls5t_ard_3-0-0_093076_1998-02-25_final
1998-08-10 09:29:00	ga_ls5t_ard_3-0-0_096067_1998-08-09_final
1999-05-09 09:29:12	ga_ls5t_ard_3-0-0_096067_1999-05-08_final
2000-01-22 10:51:48	ga_ls5t_ard_3-0-0_110067_2000-01-22_final
2003-11-08 09:57:23	ga_ls5t_ard_3-0-0_100077_2003-11-08_final
2004-11-11 09:07:53	ga_ls5t_ard_3-1-0_091075_2004-11-10_final
2005-01-03 09:24:11	ga_ls5t_ard_3-1-0_094067_2005-01-02_final
2005-05-25 09:37:58	ga_ls5t_ard_3-0-0_096067_2005-05-25_final
2005-06-18 10:33:11	ga_ls5t_ard_3-0-0_104081_2005-06-18_final
2006-07-26 09:32:24	ga_ls5t_ard_3-0-0_093085_2006-07-26_final
2006-08-25 09:37:57	ga_ls5t_ard_3-0-0_095067_2006-08-25_final
2006-10-03 09:44:36	ga_ls5t_ard_3-0-0_096067_2006-10-03_final
2007-03-16 11:01:17	ga_ls5t_ard_3-0-0_108071_2007-03-16_final
2007-04-06 09:39:15	ga_ls5t_ard_3-0-0_095067_2007-04-06_final
2007-07-14 10:12:58	ga_ls5t_ard_3-0-0_100077_2007-07-14_final
2008-02-08 10:52:52	ga_ls5t_ard_3-0-0_107076_2008-02-08_final
2008-04-11 10:08:44	ga_ls5t_ard_3-0-0_100077_2008-04-11_final
2008-11-23 11:25:22	ga_ls5t_ard_3-0-0_114067_2008-11-23_final
2008-12-24 09:07:22	ga_ls5t_ard_3-1-0_091075_2008-12-23_final
2009-02-22 09:37:38	ga_ls5t_ard_3-0-0_095085_2009-02-22_final
2009-05-13 09:34:31	ga_ls5t_ard_3-0-0_095073_2009-05-13_final
2010-09-28 09:40:42	ga_ls5t_ard_3-0-0_096067_2010-09-28_final
2011-01-27 09:34:20	ga_ls5t_ard_3-0-0_095067_2011-01-27_final
2011-04-04 10:09:07	ga_ls5t_ard_3-0-0_100077_2011-04-04_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