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

46 results

Time (local)	Label
1988-12-07 09:56:45	ga_ls5t_ard_3-1-0_101079_1988-12-07_final
1990-03-30 09:59:55	ga_ls5t_ard_3-0-0_103082_1990-03-30_final
1990-04-21 10:55:54	ga_ls5t_ard_3-0-0_113067_1990-04-21_final
1990-09-24 09:47:38	ga_ls5t_ard_3-0-0_101083_1990-09-24_final
1991-02-05 10:46:59	ga_ls5t_ard_3-0-0_111075_1991-02-05_final
1991-08-09 10:47:25	ga_ls5t_ard_3-0-0_110084_1991-08-09_final
1992-07-20 09:41:51	ga_ls5t_ard_3-0-0_100076_1992-07-20_final
1993-04-30 10:08:03	ga_ls5t_ard_3-0-0_104081_1993-04-30_final
1993-07-12 10:00:38	ga_ls5t_ard_3-0-0_103078_1993-07-12_final
1993-10-27 09:39:49	ga_ls5t_ard_3-0-0_100073_1993-10-27_final
1994-07-11 10:20:25	ga_ls5t_ard_3-0-0_107076_1994-07-11_final
1994-09-09 10:40:00	ga_ls5t_ard_3-0-0_111067_1994-09-09_final
1994-11-12 10:41:11	ga_ls5t_ard_3-0-0_111075_1994-11-12_final
1995-01-03 08:38:42	ga_ls5t_ard_3-0-0_091082_1995-01-02_final
1995-11-08 08:43:41	ga_ls5t_ard_3-0-0_094082_1995-11-07_final
1996-04-23 09:00:34	ga_ls5t_ard_3-0-0_095083_1996-04-22_final
1996-05-30 09:20:27	ga_ls5t_ard_3-0-0_098081_1996-05-29_final
1996-10-09 09:00:48	ga_ls5t_ard_3-0-0_094076_1996-10-08_final
1997-06-13 10:52:39	ga_ls5t_ard_3-0-0_111067_1997-06-13_final
1997-07-31 10:54:17	ga_ls5t_ard_3-0-0_111067_1997-07-31_final
1997-10-12 10:52:16	ga_ls5t_ard_3-0-0_110072_1997-10-12_final
1997-12-09 09:54:19	ga_ls5t_ard_3-0-0_100078_1997-12-09_final
1998-07-18 11:01:34	ga_ls5t_ard_3-0-0_111067_1998-07-18_final
2003-09-18 09:24:45	ga_ls5t_ard_3-0-0_095074_2003-09-17_final
2003-10-20 11:02:51	ga_ls5t_ard_3-1-0_111071_2003-10-20_final
2003-12-27 09:04:47	ga_ls5t_ard_3-0-0_091083_2003-12-26_final
2004-01-13 09:42:07	ga_ls5t_ard_3-1-0_098068_2004-01-13_final
2004-08-30 09:09:40	ga_ls5t_ard_3-0-0_092068_2004-08-29_final
2004-10-11 09:48:57	ga_ls5t_ard_3-0-0_098071_2004-10-11_final
2004-11-12 11:30:50	ga_ls5t_ard_3-0-0_114077_2004-11-12_final
2005-01-10 09:36:01	ga_ls5t_ard_3-0-0_095081_2005-01-10_final
2005-04-11 09:16:09	ga_ls5t_ard_3-0-0_092075_2005-04-10_final
2005-06-05 11:03:36	ga_ls5t_ard_3-0-0_109080_2005-06-05_final
2005-06-14 10:55:29	ga_ls5t_ard_3-0-0_108075_2005-06-14_final
2006-05-11 09:06:59	ga_ls5t_ard_3-0-0_089086_2006-05-10_final
2006-07-05 10:49:40	ga_ls5t_ard_3-0-0_106078_2006-07-05_final
2006-09-10 09:40:57	ga_ls5t_ard_3-0-0_095074_2006-09-10_final
2006-10-15 10:11:27	ga_ls5t_ard_3-0-0_100072_2006-10-15_final
2006-11-09 10:05:54	ga_ls5t_ard_3-0-0_099073_2006-11-09_final
2006-11-27 09:57:41	ga_ls5t_ard_3-0-0_097083_2006-11-27_final
2007-07-22 09:27:27	ga_ls5t_ard_3-0-0_092087_2007-07-21_final
2007-07-23 11:46:24	ga_ls5t_ard_3-1-0_115079_2007-07-23_final
2008-12-26 10:32:45	ga_ls5t_ard_3-0-0_105072_2008-12-26_final
2009-09-09 09:41:51	ga_ls5t_ard_3-0-0_096071_2009-09-09_final
2010-04-18 09:14:33	ga_ls5t_ard_3-0-0_091077_2010-04-17_final
2010-10-03 10:03:35	ga_ls5t_ard_3-1-0_099078_2010-10-03_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