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

57 results

Time (local)	Label
1988-09-03 09:04:15	ga_ls5t_ard_3-0-0_092086_1988-09-02_final
1989-02-08 09:08:14	ga_ls5t_ard_3-0-0_094067_1989-02-07_final
1989-03-12 09:07:40	ga_ls5t_ard_3-0-0_094067_1989-03-11_final
1989-04-04 10:53:59	ga_ls5t_ard_3-1-0_111071_1989-04-04_final
1989-07-27 09:07:11	ga_ls5t_ard_3-1-0_093087_1989-07-26_final
1989-09-11 10:56:07	ga_ls5t_ard_3-0-0_111084_1989-09-11_final
1990-11-10 08:57:44	ga_ls5t_ard_3-0-0_094067_1990-11-09_final
1991-10-06 09:43:19	ga_ls5t_ard_3-0-0_100077_1991-10-06_final
1992-03-01 10:16:46	ga_ls5t_ard_3-1-0_105083_1992-03-01_final
1992-05-05 10:57:14	ga_ls5t_ard_3-0-0_112077_1992-05-05_final
1992-08-24 10:12:37	ga_ls5t_ard_3-0-0_105077_1992-08-24_final
1993-04-18 09:41:39	ga_ls5t_ard_3-0-0_100077_1993-04-18_final
1993-05-14 10:16:28	ga_ls5t_ard_3-0-0_106071_1993-05-14_final
1993-08-30 09:00:36	ga_ls5t_ard_3-0-0_094067_1993-08-29_final
1993-10-04 09:36:59	ga_ls5t_ard_3-0-0_099081_1993-10-04_final
1994-03-30 08:37:52	ga_ls5t_ard_3-0-0_090077_1994-03-29_final
1994-08-13 09:25:07	ga_ls5t_ard_3-0-0_098079_1994-08-12_final
1994-09-28 09:37:30	ga_ls5t_ard_3-1-0_100082_1994-09-28_final
1994-12-07 08:52:08	ga_ls5t_ard_3-0-0_094067_1994-12-06_final
1995-01-07 09:50:20	ga_ls5t_ard_3-0-0_103076_1995-01-07_final
1995-03-06 08:42:39	ga_ls5t_ard_3-0-0_093067_1995-03-05_final
1995-06-04 09:19:49	ga_ls5t_ard_3-0-0_099077_1995-06-03_final
1995-09-25 08:20:33	ga_ls5t_ard_3-0-0_090081_1995-09-24_final
1996-04-16 08:47:35	ga_ls5t_ard_3-0-0_094067_1996-04-15_final
1996-05-18 08:49:28	ga_ls5t_ard_3-0-0_094067_1996-05-17_final
1996-07-24 09:28:22	ga_ls5t_ard_3-0-0_099078_1996-07-23_final
1997-03-09 09:12:44	ga_ls5t_ard_3-0-0_095073_1997-03-08_final
1998-01-16 09:13:43	ga_ls5t_ard_3-0-0_094067_1998-01-15_final
1998-02-05 08:55:01	ga_ls5t_ard_3-0-0_090081_1998-02-04_final
1998-07-18 11:07:09	ga_ls5t_ard_3-0-0_111081_1998-07-18_final
1999-03-19 10:43:07	ga_ls5t_ard_3-0-0_107081_1999-03-19_final
1999-04-02 10:52:26	ga_ls5t_ard_3-0-0_109074_1999-04-02_final
1999-04-03 09:58:00	ga_ls5t_ard_3-0-0_100077_1999-04-03_final
1999-05-11 09:16:48	ga_ls5t_ard_3-0-0_094067_1999-05-10_final
1999-07-17 11:29:44	ga_ls5t_ard_3-0-0_115077_1999-07-17_final
1999-07-18 08:56:49	ga_ls5t_ard_3-0-0_090081_1999-07-17_final
1999-08-24 10:51:10	ga_ls5t_ard_3-0-0_109074_1999-08-24_final
1999-09-16 09:14:57	ga_ls5t_ard_3-0-0_094067_1999-09-15_final
1999-09-25 10:50:14	ga_ls5t_ard_3-0-0_109074_1999-09-25_final
1999-10-18 09:14:49	ga_ls5t_ard_3-0-0_094067_1999-10-17_final
2003-10-13 09:16:05	ga_ls5t_ard_3-0-0_094067_2003-10-12_final
2003-11-25 10:42:37	ga_ls5t_ard_3-0-0_107081_2003-11-25_final
2004-07-30 11:34:39	ga_ls5t_ard_3-0-0_115077_2004-07-30_final
2004-12-12 10:03:20	ga_ls5t_ard_3-0-0_100073_2004-12-12_final
2004-12-12 10:04:56	ga_ls5t_ard_3-0-0_100077_2004-12-12_final
2004-12-29 10:48:04	ga_ls5t_ard_3-0-0_107076_2004-12-29_final
2005-01-14 10:47:27	ga_ls5t_ard_3-0-0_107074_2005-01-14_final
2005-05-29 10:54:58	ga_ls5t_ard_3-0-0_108074_2005-05-29_final
2005-09-26 10:07:25	ga_ls5t_ard_3-0-0_100077_2005-09-26_final
2006-07-11 10:12:16	ga_ls5t_ard_3-0-0_100077_2006-07-11_final
2006-10-24 10:08:08	ga_ls5t_ard_3-0-0_099079_2006-10-24_final
2007-05-01 09:32:54	ga_ls5t_ard_3-0-0_094067_2007-05-01_final
2007-06-18 09:32:14	ga_ls5t_ard_3-0-0_094067_2007-06-18_final
2008-01-28 09:29:07	ga_ls5t_ard_3-0-0_094067_2008-01-27_final
2008-11-28 10:08:47	ga_ls5t_ard_3-0-0_101076_2008-11-28_final
2009-04-26 10:29:49	ga_ls5t_ard_3-0-0_104073_2009-04-26_final
2009-08-16 10:31:45	ga_ls5t_ard_3-0-0_104073_2009-08-16_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