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

91 results

Time (local)	Label
1987-09-10 08:54:00	ga_ls5t_ard_3-0-0_091086_1987-09-09_final
1987-11-14 09:34:59	ga_ls5t_ard_3-0-0_098077_1987-11-14_final
1988-02-19 10:19:04	ga_ls5t_ard_3-0-0_105075_1988-02-19_final
1988-02-25 09:39:40	ga_ls5t_ard_3-0-0_099069_1988-02-25_final
1988-03-19 09:46:51	ga_ls5t_ard_3-0-0_100071_1988-03-19_final
1988-11-04 09:08:51	ga_ls5t_ard_3-0-0_094067_1988-11-03_final
1988-11-10 10:11:01	ga_ls5t_ard_3-0-0_104068_1988-11-10_final
1989-01-09 09:04:07	ga_ls5t_ard_3-0-0_092087_1989-01-08_final
1989-04-17 10:23:01	ga_ls5t_ard_3-0-0_106071_1989-04-17_final
1989-05-25 09:45:17	ga_ls5t_ard_3-0-0_100071_1989-05-25_final
1989-06-10 09:47:23	ga_ls5t_ard_3-0-0_100077_1989-06-10_final
1990-04-07 10:49:46	ga_ls5t_ard_3-0-0_111083_1990-04-07_final
1990-07-03 09:10:44	ga_ls5t_ard_3-0-0_096067_1990-07-02_final
1990-07-16 08:48:58	ga_ls5t_ard_3-0-0_091090_1990-07-15_final
1990-08-22 09:05:45	ga_ls5t_ard_3-0-0_094086_1990-08-21_final
1990-10-13 10:17:11	ga_ls5t_ard_3-0-0_106080_1990-10-13_final
1991-04-21 10:33:07	ga_ls5t_ard_3-0-0_108083_1991-04-21_final
1991-06-04 09:13:21	ga_ls5t_ard_3-0-0_096067_1991-06-03_final
1992-06-19 08:50:58	ga_ls5t_ard_3-0-0_091087_1992-06-18_final
1992-07-24 09:13:28	ga_ls5t_ard_3-0-0_096067_1992-07-23_final
1992-11-22 09:05:24	ga_ls5t_ard_3-0-0_095067_1992-11-21_final
1993-02-07 08:43:47	ga_ls5t_ard_3-0-0_090088_1993-02-06_final
1993-04-01 10:36:20	ga_ls5t_ard_3-0-0_109075_1993-04-01_final
1993-04-26 10:27:58	ga_ls5t_ard_3-1-0_108069_1993-04-26_final
1993-04-30 10:04:51	ga_ls5t_ard_3-1-0_104073_1993-04-30_final
1993-07-08 08:49:40	ga_ls5t_ard_3-0-0_091086_1993-07-07_final
1993-08-26 11:04:12	ga_ls5t_ard_3-0-0_114067_1993-08-26_final
1993-11-25 10:50:23	ga_ls5t_ard_3-0-0_111080_1993-11-25_final
1993-12-10 08:28:58	ga_ls5t_ard_3-1-0_088082_1993-12-09_final
1994-03-08 09:11:18	ga_ls5t_ard_3-0-0_096067_1994-03-07_final
1994-07-29 10:06:45	ga_ls5t_ard_3-0-0_105074_1994-07-29_final
1994-08-25 09:45:57	ga_ls5t_ard_3-0-0_102070_1994-08-25_final
1994-11-03 09:05:35	ga_ls5t_ard_3-0-0_096067_1994-11-02_final
1995-02-10 09:37:02	ga_ls5t_ard_3-0-0_101077_1995-02-10_final
1995-06-18 09:31:32	ga_ls5t_ard_3-0-0_101077_1995-06-18_final
1995-06-30 09:56:31	ga_ls5t_ard_3-0-0_105079_1995-06-30_final
1995-07-18 09:44:08	ga_ls5t_ard_3-0-0_103081_1995-07-18_final
1996-02-08 09:09:53	ga_ls5t_ard_3-0-0_098072_1996-02-07_final
1996-07-01 09:20:59	ga_ls5t_ard_3-0-0_098078_1996-06-30_final
1996-07-12 10:43:53	ga_ls5t_ard_3-0-0_111083_1996-07-12_final
1996-07-16 08:42:53	ga_ls5t_ard_3-0-0_091089_1996-07-15_final
1996-08-04 09:12:48	ga_ls5t_ard_3-0-0_096084_1996-08-03_final
1996-11-26 10:41:36	ga_ls5t_ard_3-0-0_110075_1996-11-26_final
1996-12-03 09:06:03	ga_ls5t_ard_3-0-0_095067_1996-12-02_final
1997-03-28 09:45:57	ga_ls5t_ard_3-0-0_100077_1997-03-28_final
1997-03-29 08:53:58	ga_ls5t_ard_3-0-0_091086_1997-03-28_final
1997-06-24 10:37:17	ga_ls5t_ard_3-0-0_108074_1997-06-24_final
1997-08-11 10:38:54	ga_ls5t_ard_3-0-0_108074_1997-08-11_final
1997-12-15 10:57:28	ga_ls5t_ard_3-0-0_110081_1997-12-15_final
1998-06-02 10:52:14	ga_ls5t_ard_3-0-0_109076_1998-06-02_final
1998-08-31 09:51:46	ga_ls5t_ard_3-0-0_099077_1998-08-31_final
1999-02-14 09:58:32	ga_ls5t_ard_3-0-0_100077_1999-02-14_final
1999-03-24 10:58:46	ga_ls5t_ard_3-0-0_110074_1999-03-24_final
1999-05-31 09:00:00	ga_ls5t_ard_3-0-0_090088_1999-05-30_final
1999-08-17 10:45:07	ga_ls5t_ard_3-0-0_108074_1999-08-17_final
1999-10-25 09:20:51	ga_ls5t_ard_3-0-0_095067_1999-10-24_final
2003-07-09 10:56:37	ga_ls5t_ard_3-0-0_110075_2003-07-09_final
2003-10-11 09:28:25	ga_ls5t_ard_3-0-0_096067_2003-10-10_final
2003-10-26 08:51:45	ga_ls5t_ard_3-0-0_089083_2003-10-25_final
2003-11-11 10:27:58	ga_ls5t_ard_3-0-0_105076_2003-11-11_final
2003-12-28 09:43:16	ga_ls5t_ard_3-0-0_098071_2003-12-28_final
2004-08-23 10:44:59	ga_ls5t_ard_3-0-0_107075_2004-08-23_final
2004-09-08 10:45:24	ga_ls5t_ard_3-0-0_107075_2004-09-08_final
2004-09-10 10:33:06	ga_ls5t_ard_3-0-0_105075_2004-09-10_final
2004-10-07 10:13:34	ga_ls5t_ard_3-0-0_102071_2004-10-07_final
2005-01-22 10:02:08	ga_ls5t_ard_3-0-0_099084_2005-01-22_final
2005-05-06 10:49:24	ga_ls5t_ard_3-0-0_107076_2005-05-06_final
2005-07-02 10:43:36	ga_ls5t_ard_3-0-0_106076_2005-07-02_final
2005-09-10 10:05:02	ga_ls5t_ard_3-0-0_100071_2005-09-10_final
2006-02-06 10:25:22	ga_ls5t_ard_3-0-0_103070_2006-02-06_final
2006-06-06 11:18:32	ga_ls5t_ard_3-0-0_111074_2006-06-06_final
2006-10-12 09:46:30	ga_ls5t_ard_3-0-0_095087_2006-10-12_final
2006-10-31 10:11:12	ga_ls5t_ard_3-0-0_100071_2006-10-31_final
2007-04-03 10:47:39	ga_ls5t_ard_3-0-0_106068_2007-04-03_final
2007-04-14 10:34:14	ga_ls5t_ard_3-0-0_103081_2007-04-14_final
2007-04-29 09:52:28	ga_ls5t_ard_3-0-0_096085_2007-04-29_final
2007-05-12 10:55:56	ga_ls5t_ard_3-0-0_107074_2007-05-12_final
2007-05-21 09:11:57	ga_ls5t_ard_3-0-0_090077_2007-05-20_final
2007-08-24 10:06:48	ga_ls5t_ard_3-0-0_099078_2007-08-24_final
2007-09-05 10:32:36	ga_ls5t_ard_3-0-0_103081_2007-09-05_final
2007-10-05 10:42:18	ga_ls5t_ard_3-0-0_105075_2007-10-05_final
2008-02-07 10:08:02	ga_ls5t_ard_3-0-0_100072_2008-02-07_final
2008-04-26 11:02:46	ga_ls5t_ard_3-0-0_109074_2008-04-26_final
2008-07-25 09:57:17	ga_ls5t_ard_3-0-0_099071_2008-07-25_final
2009-01-18 10:38:20	ga_ls5t_ard_3-0-0_106069_2009-01-18_final
2009-02-12 10:35:36	ga_ls5t_ard_3-0-0_105076_2009-02-12_final
2009-02-21 10:26:27	ga_ls5t_ard_3-0-0_104068_2009-02-21_final
2010-04-16 11:04:37	ga_ls5t_ard_3-0-0_109074_2010-04-16_final
2010-09-23 11:04:16	ga_ls5t_ard_3-0-0_109075_2010-09-23_final
2010-10-28 11:34:27	ga_ls5t_ard_3-0-0_114074_2010-10-28_final
2010-12-03 11:09:19	ga_ls5t_ard_3-0-0_110073_2010-12-03_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