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

58 results

Time (local)	Label
1986-08-25 09:11:52	ga_ls5t_ard_3-0-0_096067_1986-08-24_final
1988-08-06 08:37:27	ga_ls5t_ard_3-1-0_088081_1988-08-05_final
1988-11-15 08:57:51	ga_ls5t_ard_3-0-0_091086_1988-11-14_final
1989-01-27 10:23:09	ga_ls5t_ard_3-0-0_106069_1989-01-27_final
1990-07-23 10:27:36	ga_ls5t_ard_3-0-0_108074_1990-07-23_final
1991-08-11 08:56:58	ga_ls5t_ard_3-1-0_092086_1991-08-10_final
1991-11-12 10:04:02	ga_ls5t_ard_3-0-0_103082_1991-11-12_final
1991-11-20 09:14:35	ga_ls5t_ard_3-0-0_095082_1991-11-19_final
1992-01-04 10:23:02	ga_ls5t_ard_3-0-0_106083_1992-01-04_final
1992-01-09 09:04:40	ga_ls5t_ard_3-1-0_093088_1992-01-08_final
1992-03-04 09:09:34	ga_ls5t_ard_3-0-0_094085_1992-03-03_final
1992-06-10 10:30:59	ga_ls5t_ard_3-0-0_108074_1992-06-10_final
1992-10-12 09:12:06	ga_ls5t_ard_3-0-0_096067_1992-10-11_final
1992-10-28 09:11:58	ga_ls5t_ard_3-0-0_096067_1992-10-27_final
1993-02-01 10:54:06	ga_ls5t_ard_3-0-0_112074_1993-02-01_final
1993-03-30 09:06:36	ga_ls5t_ard_3-0-0_095067_1993-03-29_final
1993-09-01 10:29:55	ga_ls5t_ard_3-0-0_108074_1993-09-01_final
1994-03-03 10:34:31	ga_ls5t_ard_3-0-0_109074_1994-03-03_final
1994-04-07 09:27:58	ga_ls5t_ard_3-0-0_098079_1994-04-06_final
1994-07-05 11:00:03	ga_ls5t_ard_3-0-0_113082_1994-07-05_final
1994-09-16 09:07:07	ga_ls5t_ard_3-0-0_096067_1994-09-15_final
1995-04-01 11:00:45	ga_ls5t_ard_3-0-0_115075_1995-04-01_final
1995-08-22 10:10:40	ga_ls5t_ard_3-0-0_108074_1995-08-22_final
1996-03-01 08:39:52	ga_ls5t_ard_3-0-0_092086_1996-02-29_final
1996-03-13 08:57:48	ga_ls5t_ard_3-0-0_096067_1996-03-12_final
1996-08-01 10:17:26	ga_ls5t_ard_3-0-0_107076_1996-08-01_final
1996-09-10 09:28:10	ga_ls5t_ard_3-0-0_099071_1996-09-09_final
1997-03-05 09:41:17	ga_ls5t_ard_3-0-0_099083_1997-03-05_final
1997-09-20 09:51:50	ga_ls5t_ard_3-0-0_100077_1997-09-20_final
1998-04-20 09:27:38	ga_ls5t_ard_3-0-0_096067_1998-04-19_final
1998-09-24 09:01:42	ga_ls5t_ard_3-1-0_091075_1998-09-23_final
1999-05-25 09:28:48	ga_ls5t_ard_3-0-0_096067_1999-05-24_final
1999-06-26 09:28:27	ga_ls5t_ard_3-0-0_096067_1999-06-25_final
2003-07-28 09:49:46	ga_ls5t_ard_3-0-0_099077_2003-07-28_final
2003-08-14 10:32:55	ga_ls5t_ard_3-0-0_106076_2003-08-14_final
2003-08-24 09:27:43	ga_ls5t_ard_3-0-0_096067_2003-08-23_final
2003-10-05 10:05:49	ga_ls5t_ard_3-0-0_102068_2003-10-05_final
2004-04-15 10:53:48	ga_ls5t_ard_3-0-0_109075_2004-04-15_final
2004-08-05 11:00:28	ga_ls5t_ard_3-0-0_109084_2004-08-05_final
2005-07-14 11:07:38	ga_ls5t_ard_3-0-0_110074_2005-07-14_final
2005-07-28 09:38:29	ga_ls5t_ard_3-0-0_096067_2005-07-28_final
2006-02-21 09:41:15	ga_ls5t_ard_3-0-0_096067_2006-02-21_final
2006-09-24 09:55:04	ga_ls5t_ard_3-0-0_097078_2006-09-24_final
2007-02-20 10:14:16	ga_ls5t_ard_3-0-0_100077_2007-02-20_final
2007-04-13 09:45:23	ga_ls5t_ard_3-0-0_096067_2007-04-13_final
2007-09-16 10:12:23	ga_ls5t_ard_3-0-0_100077_2007-09-16_final
2008-01-14 09:21:01	ga_ls5t_ard_3-0-0_092077_2008-01-13_final
2008-01-23 10:52:44	ga_ls5t_ard_3-0-0_107075_2008-01-23_final
2008-02-27 09:40:57	ga_ls5t_ard_3-0-0_096067_2008-02-27_final
2008-04-15 09:39:55	ga_ls5t_ard_3-0-0_096067_2008-04-15_final
2008-04-27 10:07:55	ga_ls5t_ard_3-0-0_100076_2008-04-27_final
2008-06-02 09:38:37	ga_ls5t_ard_3-0-0_096067_2008-06-02_final
2008-10-29 09:57:08	ga_ls5t_ard_3-0-0_099078_2008-10-29_final
2008-12-04 09:28:18	ga_ls5t_ard_3-0-0_095067_2008-12-03_final
2010-05-23 09:41:20	ga_ls5t_ard_3-1-0_096067_2010-05-23_final
2010-06-02 10:18:46	ga_ls5t_ard_3-0-0_102068_2010-06-02_final
2010-08-16 10:03:26	ga_ls5t_ard_3-0-0_099077_2010-08-16_final
2010-09-19 09:48:32	ga_ls5t_ard_3-0-0_097071_2010-09-19_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