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

56 results

Time (local)	Label
1987-09-02 09:40:26	ga_ls5t_ard_3-0-0_099079_1987-09-02_final
1988-02-12 10:11:36	ga_ls5t_ard_3-1-0_104072_1988-02-12_final
1988-03-28 11:21:14	ga_ls5t_ard_3-0-0_115075_1988-03-28_final
1988-09-03 09:04:39	ga_ls5t_ard_3-0-0_092087_1988-09-02_final
1988-09-19 10:38:16	ga_ls5t_ard_3-0-0_108074_1988-09-19_final
1988-12-26 08:49:25	ga_ls5t_ard_3-0-0_090081_1988-12-25_final
1989-03-06 09:48:56	ga_ls5t_ard_3-0-0_100077_1989-03-06_final
1990-03-09 09:40:02	ga_ls5t_ard_3-0-0_100077_1990-03-09_final
1990-06-12 10:33:54	ga_ls5t_ard_3-0-0_109074_1990-06-12_final
1991-07-07 10:02:39	ga_ls5t_ard_3-0-0_103081_1991-07-07_final
1991-09-02 09:56:59	ga_ls5t_ard_3-0-0_102081_1991-09-02_final
1991-09-21 08:46:50	ga_ls5t_ard_3-1-0_091075_1991-09-20_final
1992-11-01 10:28:51	ga_ls5t_ard_3-0-0_108074_1992-11-01_final
1993-01-04 10:29:03	ga_ls5t_ard_3-0-0_108074_1993-01-04_final
1993-05-30 10:20:55	ga_ls5t_ard_3-1-0_106082_1993-05-30_final
1993-06-03 09:55:49	ga_ls5t_ard_3-0-0_102081_1993-06-03_final
1994-01-15 09:38:18	ga_ls5t_ard_3-0-0_100071_1994-01-15_final
1994-09-28 09:34:18	ga_ls5t_ard_3-0-0_100074_1994-09-28_final
1996-01-14 09:16:43	ga_ls5t_ard_3-0-0_099078_1996-01-13_final
1996-09-19 09:27:16	ga_ls5t_ard_3-0-0_098083_1996-09-18_final
1996-11-04 09:37:34	ga_ls5t_ard_3-0-0_100072_1996-11-04_final
1996-11-17 10:50:57	ga_ls5t_ard_3-0-0_111084_1996-11-17_final
1996-12-28 10:42:44	ga_ls5t_ard_3-1-0_110074_1996-12-28_final
1997-01-13 10:41:54	ga_ls5t_ard_3-0-0_110070_1997-01-13_final
1997-03-28 09:45:57	ga_ls5t_ard_3-0-0_100077_1997-03-28_final
1997-04-10 10:52:49	ga_ls5t_ard_3-0-0_111073_1997-04-10_final
1997-08-12 09:44:54	ga_ls5t_ard_3-0-0_099078_1997-08-12_final
1997-12-12 10:24:06	ga_ls5t_ard_3-0-0_105075_1997-12-12_final
1998-07-08 10:27:11	ga_ls5t_ard_3-0-0_105074_1998-07-08_final
1999-04-04 10:40:28	ga_ls5t_ard_3-0-0_107075_1999-04-04_final
1999-08-18 09:51:05	ga_ls5t_ard_3-0-0_099078_1999-08-18_final
1999-11-10 11:02:00	ga_ls5t_ard_3-0-0_111074_1999-11-10_final
2003-07-25 10:56:29	ga_ls5t_ard_3-0-0_110074_2003-07-25_final
2003-09-06 09:00:13	ga_ls5t_ard_3-1-0_091075_2003-09-05_final
2003-10-17 10:33:54	ga_ls5t_ard_3-0-0_106076_2003-10-17_final
2004-08-15 09:56:07	ga_ls5t_ard_3-0-0_099077_2004-08-15_final
2004-09-24 09:08:31	ga_ls5t_ard_3-0-0_091079_2004-09-23_final
2004-12-25 09:32:38	ga_ls5t_ard_3-0-0_095073_2004-12-25_final
2004-12-26 10:19:07	ga_ls5t_ard_3-0-0_102081_2004-12-26_final
2005-02-08 10:42:25	ga_ls5t_ard_3-0-0_106076_2005-02-08_final
2005-06-03 11:13:33	ga_ls5t_ard_3-0-0_111074_2005-06-03_final
2005-07-23 11:01:57	ga_ls5t_ard_3-0-0_109075_2005-07-23_final
2006-01-31 11:04:19	ga_ls5t_ard_3-0-0_109075_2006-01-31_final
2006-02-11 09:09:32	ga_ls5t_ard_3-0-0_090081_2006-02-10_final
2006-05-10 10:01:23	ga_ls5t_ard_3-0-0_098083_2006-05-10_final
2006-07-27 10:12:29	ga_ls5t_ard_3-0-0_100077_2006-07-27_final
2006-10-16 10:55:55	ga_ls5t_ard_3-0-0_107075_2006-10-16_final
2007-01-17 10:28:09	ga_ls5t_ard_3-0-0_102081_2007-01-17_final
2007-07-30 10:12:50	ga_ls5t_ard_3-0-0_100077_2007-07-30_final
2009-03-10 09:32:50	ga_ls5t_ard_3-0-0_095072_2009-03-10_final
2009-04-29 09:27:28	ga_ls5t_ard_3-0-0_093087_2009-04-28_final
2009-06-04 10:37:54	ga_ls5t_ard_3-0-0_105076_2009-06-04_final
2009-12-08 10:18:37	ga_ls5t_ard_3-0-0_102068_2009-12-08_final
2010-02-13 10:52:40	ga_ls5t_ard_3-0-0_107075_2010-02-13_final
2011-06-24 10:51:03	ga_ls5t_ard_3-0-0_107075_2011-06-24_final
2011-09-12 10:50:19	ga_ls5t_ard_3-0-0_107075_2011-09-12_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