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
1986-08-21 09:41:08	ga_ls5t_ard_3-0-0_100078_1986-08-21_final
1987-05-25 10:03:30	ga_ls5t_ard_3-0-0_103081_1987-05-25_final
1987-09-11 09:30:30	ga_ls5t_ard_3-0-0_098069_1987-09-11_final
1987-09-22 10:52:41	ga_ls5t_ard_3-0-0_111073_1987-09-22_final
1988-10-18 10:07:36	ga_ls5t_ard_3-0-0_103075_1988-10-18_final
1988-10-28 10:44:41	ga_ls5t_ard_3-0-0_109075_1988-10-28_final
1990-02-27 10:43:49	ga_ls5t_ard_3-0-0_110081_1990-02-27_final
1990-04-13 08:31:55	ga_ls5t_ard_3-0-0_089078_1990-04-12_final
1990-06-13 09:37:04	ga_ls5t_ard_3-0-0_100071_1990-06-13_final
1991-03-14 09:30:41	ga_ls5t_ard_3-0-0_098083_1991-03-14_final
1992-02-25 09:57:27	ga_ls5t_ard_3-0-0_102081_1992-02-25_final
1992-03-10 10:10:12	ga_ls5t_ard_3-0-0_104082_1992-03-10_final
1992-07-20 09:42:14	ga_ls5t_ard_3-0-0_100077_1992-07-20_final
1992-09-19 09:06:26	ga_ls5t_ard_3-0-0_095067_1992-09-18_final
1992-10-10 09:31:16	ga_ls5t_ard_3-0-0_098084_1992-10-10_final
1993-01-21 09:32:26	ga_ls5t_ard_3-0-0_099071_1993-01-21_final
1993-09-19 10:15:07	ga_ls5t_ard_3-0-0_106068_1993-09-19_final
1994-11-28 08:58:35	ga_ls5t_ard_3-0-0_095067_1994-11-27_final
1994-11-30 10:27:50	ga_ls5t_ard_3-0-0_109074_1994-11-30_final
1995-02-24 09:45:15	ga_ls5t_ard_3-0-0_103068_1995-02-24_final
1995-06-15 08:56:47	ga_ls5t_ard_3-0-0_096067_1995-06-14_final
1995-08-31 08:31:34	ga_ls5t_ard_3-0-0_091090_1995-08-30_final
1996-02-17 09:09:06	ga_ls5t_ard_3-0-0_097084_1996-02-16_final
1996-03-22 08:52:12	ga_ls5t_ard_3-0-0_095067_1996-03-21_final
1996-06-21 08:46:34	ga_ls5t_ard_3-0-0_092086_1996-06-20_final
1996-11-25 10:01:05	ga_ls5t_ard_3-0-0_103082_1996-11-25_final
1996-12-23 10:24:21	ga_ls5t_ard_3-0-0_107075_1996-12-23_final
1997-03-13 10:28:39	ga_ls5t_ard_3-0-0_107077_1997-03-13_final
1998-06-07 11:14:03	ga_ls5t_ard_3-0-0_112084_1998-06-07_final
1999-02-24 10:33:14	ga_ls5t_ard_3-0-0_106071_1999-02-24_final
1999-03-28 10:31:34	ga_ls5t_ard_3-0-0_106068_1999-03-28_final
1999-04-16 09:23:08	ga_ls5t_ard_3-0-0_095067_1999-04-15_final
1999-06-23 10:42:27	ga_ls5t_ard_3-0-0_107082_1999-06-23_final
2003-11-14 10:57:21	ga_ls5t_ard_3-0-0_110072_2003-11-14_final
2003-12-27 09:06:47	ga_ls5t_ard_3-0-0_091088_2003-12-26_final
2004-01-24 09:23:14	ga_ls5t_ard_3-0-0_095067_2004-01-23_final
2004-08-31 09:56:57	ga_ls5t_ard_3-0-0_099078_2004-08-31_final
2004-10-15 11:04:24	ga_ls5t_ard_3-1-0_110074_2004-10-15_final
2004-12-15 10:35:05	ga_ls5t_ard_3-0-0_105075_2004-12-15_final
2005-05-02 09:31:37	ga_ls5t_ard_3-0-0_095067_2005-05-02_final
2005-06-25 10:37:00	ga_ls5t_ard_3-0-0_105075_2005-06-25_final
2005-07-18 10:43:46	ga_ls5t_ard_3-0-0_106076_2005-07-18_final
2005-09-27 10:49:52	ga_ls5t_ard_3-0-0_107075_2005-09-27_final
2005-10-10 10:21:18	ga_ls5t_ard_3-0-0_102081_2005-10-10_final
2005-10-14 11:29:52	ga_ls5t_ard_3-0-0_114067_2005-10-14_final
2006-02-17 10:07:29	ga_ls5t_ard_3-0-0_100071_2006-02-17_final
2006-03-05 10:07:49	ga_ls5t_ard_3-0-0_100071_2006-03-05_final
2006-04-15 10:01:36	ga_ls5t_ard_3-0-0_099069_2006-04-15_final
2006-07-24 11:19:14	ga_ls5t_ard_3-0-0_111074_2006-07-24_final
2006-08-04 09:21:56	ga_ls5t_ard_3-1-0_092074_2006-08-03_final
2006-09-10 09:38:09	ga_ls5t_ard_3-0-0_095067_2006-09-10_final
2006-10-16 10:55:31	ga_ls5t_ard_3-0-0_107074_2006-10-16_final
2007-07-06 09:27:11	ga_ls5t_ard_3-0-0_092086_2007-07-05_final
2007-08-18 10:43:09	ga_ls5t_ard_3-0-0_105076_2007-08-18_final
2009-05-29 11:14:53	ga_ls5t_ard_3-0-0_111076_2009-05-29_final
2010-02-05 10:00:24	ga_ls5t_ard_3-0-0_099068_2010-02-05_final
2011-10-26 09:32:20	ga_ls5t_ard_3-0-0_095067_2011-10-26_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