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

54 results

Time (local)	Label
1987-05-26 09:04:43	ga_ls5t_ard_3-0-0_094073_1987-05-25_final
1987-05-28 10:31:17	ga_ls5t_ard_3-0-0_108073_1987-05-28_final
1988-02-23 09:57:12	ga_ls5t_ard_3-0-0_101082_1988-02-23_final
1988-04-26 10:51:16	ga_ls5t_ard_3-0-0_110077_1988-04-26_final
1988-06-07 09:49:49	ga_ls5t_ard_3-0-0_100077_1988-06-07_final
1989-02-10 09:03:26	ga_ls5t_ard_3-0-0_092086_1989-02-09_final
1989-07-28 09:46:25	ga_ls5t_ard_3-0-0_100077_1989-07-28_final
1989-12-11 10:30:44	ga_ls5t_ard_3-0-0_108073_1989-12-11_final
1990-02-21 09:40:37	ga_ls5t_ard_3-0-0_100077_1990-02-21_final
1991-02-06 09:49:00	ga_ls5t_ard_3-0-0_102069_1991-02-06_final
1991-11-15 10:31:45	ga_ls5t_ard_3-0-0_108074_1991-11-15_final
1993-11-12 09:41:16	ga_ls5t_ard_3-0-0_100077_1993-11-12_final
1994-04-01 10:02:46	ga_ls5t_ard_3-0-0_104073_1994-04-01_final
1994-06-25 08:47:09	ga_ls5t_ard_3-0-0_091089_1994-06-24_final
1994-08-26 10:30:47	ga_ls5t_ard_3-0-0_109074_1994-08-26_final
1994-10-25 09:17:17	ga_ls5t_ard_3-0-0_097080_1994-10-24_final
1995-03-22 10:27:39	ga_ls5t_ard_3-0-0_109084_1995-03-22_final
1995-09-08 09:18:14	ga_ls5t_ard_3-1-0_099084_1995-09-07_final
1995-10-14 08:44:51	ga_ls5t_ard_3-0-0_095067_1995-10-13_final
1996-06-07 10:09:56	ga_ls5t_ard_3-0-0_106080_1996-06-07_final
1996-07-12 08:58:37	ga_ls5t_ard_3-0-0_095067_1996-07-11_final
1998-01-10 09:54:40	ga_ls5t_ard_3-0-0_100077_1998-01-10_final
1998-02-22 09:40:12	ga_ls5t_ard_3-0-0_097085_1998-02-22_final
1998-07-31 10:34:20	ga_ls5t_ard_3-0-0_106076_1998-07-31_final
1999-03-09 10:03:47	ga_ls5t_ard_3-0-0_101075_1999-03-09_final
1999-04-28 09:51:50	ga_ls5t_ard_3-0-0_099077_1999-04-28_final
1999-05-05 09:57:57	ga_ls5t_ard_3-0-0_100077_1999-05-05_final
1999-05-31 09:00:00	ga_ls5t_ard_3-0-0_090088_1999-05-30_final
1999-06-27 10:17:16	ga_ls5t_ard_3-0-0_103081_1999-06-27_final
1999-07-07 10:51:30	ga_ls5t_ard_3-0-0_109074_1999-07-07_final
2003-08-10 10:56:46	ga_ls5t_ard_3-1-0_110074_2003-08-10_final
2004-05-13 09:42:26	ga_ls5t_ard_3-0-0_097080_2004-05-13_final
2004-05-20 09:48:01	ga_ls5t_ard_3-0-0_098078_2004-05-20_final
2004-07-17 10:25:59	ga_ls5t_ard_3-0-0_104076_2004-07-17_final
2004-08-21 09:23:11	ga_ls5t_ard_3-0-0_093087_2004-08-20_final
2004-09-22 09:23:38	ga_ls5t_ard_3-1-0_093086_2004-09-21_final
2004-11-02 10:52:48	ga_ls5t_ard_3-0-0_108075_2004-11-02_final
2004-11-04 10:40:53	ga_ls5t_ard_3-0-0_106076_2004-11-04_final
2005-05-29 10:54:58	ga_ls5t_ard_3-0-0_108074_2005-05-29_final
2005-08-08 11:01:42	ga_ls5t_ard_3-0-0_109074_2005-08-08_final
2005-10-22 10:42:02	ga_ls5t_ard_3-0-0_106071_2005-10-22_final
2006-01-31 11:04:19	ga_ls5t_ard_3-0-0_109075_2006-01-31_final
2006-06-22 09:37:06	ga_ls5t_ard_3-1-0_095067_2006-06-22_final
2006-07-13 10:00:44	ga_ls5t_ard_3-0-0_098079_2006-07-13_final
2006-11-05 10:34:10	ga_ls5t_ard_3-0-0_103082_2006-11-05_final
2007-03-25 09:17:47	ga_ls5t_ard_3-1-0_091075_2007-03-24_final
2007-03-30 11:13:59	ga_ls5t_ard_3-0-0_110072_2007-03-30_final
2007-04-10 10:56:35	ga_ls5t_ard_3-0-0_107075_2007-04-10_final
2007-05-03 11:02:12	ga_ls5t_ard_3-0-0_108074_2007-05-03_final
2009-02-19 09:07:03	ga_ls5t_ard_3-0-0_090086_2009-02-18_final
2009-12-02 09:24:45	ga_ls5t_ard_3-0-0_092088_2009-12-01_final
2010-05-04 09:17:41	ga_ls5t_ard_3-0-0_091085_2010-05-03_final
2010-12-13 10:09:07	ga_ls5t_ard_3-0-0_100077_2010-12-13_final
2011-08-27 10:50:30	ga_ls5t_ard_3-0-0_107075_2011-08-27_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