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

60 results

Time (local)	Label
1989-02-28 08:47:18	ga_ls5t_ard_3-0-0_090077_1989-02-27_final
1989-06-27 08:56:12	ga_ls5t_ard_3-0-0_091089_1989-06-26_final
1990-02-14 09:30:40	ga_ls5t_ard_3-0-0_099067_1990-02-14_final
1990-06-13 09:39:28	ga_ls5t_ard_3-0-0_100077_1990-06-13_final
1990-07-22 09:47:56	ga_ls5t_ard_3-1-0_101083_1990-07-22_final
1990-11-14 10:13:05	ga_ls5t_ard_3-0-0_106070_1990-11-14_final
1990-11-20 09:38:44	ga_ls5t_ard_3-0-0_100077_1990-11-20_final
1992-02-24 10:49:52	ga_ls5t_ard_3-1-0_111073_1992-02-24_final
1992-03-24 10:20:06	ga_ls5t_ard_3-0-0_106076_1992-03-24_final
1992-10-31 09:48:00	ga_ls5t_ard_3-0-0_101080_1992-10-31_final
1993-01-24 10:04:10	ga_ls5t_ard_3-1-0_104073_1993-01-24_final
1993-06-18 10:52:35	ga_ls5t_ard_3-0-0_111084_1993-06-18_final
1993-06-22 08:50:57	ga_ls5t_ard_3-0-0_091089_1993-06-21_final
1993-09-24 10:37:37	ga_ls5t_ard_3-0-0_109078_1993-09-24_final
1993-10-28 10:23:29	ga_ls5t_ard_3-0-0_107074_1993-10-28_final
1993-11-22 10:15:30	ga_ls5t_ard_3-0-0_106070_1993-11-22_final
1994-01-11 08:28:36	ga_ls5t_ard_3-1-0_088082_1994-01-10_final
1994-06-08 09:38:47	ga_ls5t_ard_3-0-0_100078_1994-06-08_final
1994-06-20 10:01:14	ga_ls5t_ard_3-1-0_104073_1994-06-20_final
1994-12-17 09:32:54	ga_ls5t_ard_3-0-0_100077_1994-12-17_final
1995-03-27 09:07:07	ga_ls5t_ard_3-0-0_096084_1995-03-26_final
1995-04-27 08:19:46	ga_ls5t_ard_3-1-0_089077_1995-04-26_final
1995-05-19 10:59:27	ga_ls5t_ard_3-0-0_115077_1995-05-19_final
1995-11-12 09:53:26	ga_ls5t_ard_3-0-0_106071_1995-11-12_final
1996-03-02 09:19:36	ga_ls5t_ard_3-0-0_099077_1996-03-01_final
1996-08-22 10:36:16	ga_ls5t_ard_3-1-0_110074_1996-08-22_final
1997-01-07 09:42:36	ga_ls5t_ard_3-0-0_100077_1997-01-07_final
1997-06-22 09:07:53	ga_ls5t_ard_3-0-0_094067_1997-06-21_final
1997-10-29 10:01:06	ga_ls5t_ard_3-0-0_101082_1997-10-29_final
1998-10-03 10:34:25	ga_ls5t_ard_3-0-0_106075_1998-10-03_final
1998-11-09 10:52:43	ga_ls5t_ard_3-0-0_109074_1998-11-09_final
1998-11-16 10:58:56	ga_ls5t_ard_3-0-0_110074_1998-11-16_final
1999-05-23 09:41:13	ga_ls5t_ard_3-0-0_098067_1999-05-23_final
2003-07-04 10:38:23	ga_ls5t_ard_3-0-0_107076_2003-07-04_final
2003-08-19 10:50:45	ga_ls5t_ard_3-0-0_109074_2003-08-19_final
2003-10-13 09:16:05	ga_ls5t_ard_3-0-0_094067_2003-10-12_final
2003-11-09 10:40:16	ga_ls5t_ard_3-0-0_107076_2003-11-09_final
2003-12-16 10:58:30	ga_ls5t_ard_3-0-0_110074_2003-12-16_final
2004-02-29 10:40:22	ga_ls5t_ard_3-0-0_107074_2004-02-29_final
2004-05-01 10:53:50	ga_ls5t_ard_3-0-0_109074_2004-05-01_final
2004-08-12 09:21:08	ga_ls5t_ard_3-0-0_094067_2004-08-11_final
2004-09-24 10:46:12	ga_ls5t_ard_3-0-0_107076_2004-09-24_final
2004-11-23 11:15:16	ga_ls5t_ard_3-0-0_111084_2004-11-23_final
2005-04-04 10:49:14	ga_ls5t_ard_3-0-0_107076_2005-04-04_final
2005-10-06 10:42:03	ga_ls5t_ard_3-0-0_106071_2005-10-06_final
2005-10-31 10:37:26	ga_ls5t_ard_3-0-0_105075_2005-10-31_final
2006-06-18 10:06:08	ga_ls5t_ard_3-0-0_099078_2006-06-18_final
2006-08-27 11:07:18	ga_ls5t_ard_3-0-0_109074_2006-08-27_final
2006-09-07 10:47:41	ga_ls5t_ard_3-0-0_106071_2006-09-07_final
2006-11-03 10:41:20	ga_ls5t_ard_3-0-0_105069_2006-11-03_final
2006-12-04 10:01:55	ga_ls5t_ard_3-0-0_098078_2006-12-04_final
2007-02-05 10:59:07	ga_ls5t_ard_3-0-0_107081_2007-02-05_final
2007-02-23 10:44:22	ga_ls5t_ard_3-0-0_105075_2007-02-23_final
2007-04-15 09:33:01	ga_ls5t_ard_3-0-0_094067_2007-04-15_final
2007-05-26 11:11:18	ga_ls5t_ard_3-0-0_109082_2007-05-26_final
2007-07-30 10:12:50	ga_ls5t_ard_3-0-0_100077_2007-07-30_final
2008-03-16 09:28:14	ga_ls5t_ard_3-0-0_094067_2008-03-15_final
2008-09-10 10:52:46	ga_ls5t_ard_3-0-0_108074_2008-09-10_final
2009-09-21 10:09:07	ga_ls5t_ard_3-0-0_100077_2009-09-21_final
2009-11-30 09:28:42	ga_ls5t_ard_3-0-0_094067_2009-11-29_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