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

49 results

Time (local)	Label
1988-05-05 10:43:36	ga_ls5t_ard_3-0-0_109073_1988-05-05_final
1988-05-30 08:59:32	ga_ls5t_ard_3-0-0_092075_1988-05-29_final
1988-07-12 08:46:48	ga_ls5t_ard_3-0-0_089089_1988-07-11_final
1988-10-17 09:22:21	ga_ls5t_ard_3-0-0_096070_1988-10-16_final
1990-04-02 10:26:23	ga_ls5t_ard_3-0-0_108071_1990-04-02_final
1990-04-23 10:49:07	ga_ls5t_ard_3-0-0_111081_1990-04-23_final
1990-08-22 10:42:14	ga_ls5t_ard_3-0-0_110080_1990-08-22_final
1990-10-06 08:31:16	ga_ls5t_ard_3-0-0_089078_1990-10-05_final
1992-12-04 09:35:06	ga_ls5t_ard_3-0-0_099079_1992-12-04_final
1993-03-27 10:14:57	ga_ls5t_ard_3-0-0_106068_1993-03-27_final
1993-04-20 09:29:19	ga_ls5t_ard_3-0-0_098077_1993-04-19_final
1993-05-31 11:02:11	ga_ls5t_ard_3-0-0_113077_1993-05-31_final
1993-06-18 09:12:06	ga_ls5t_ard_3-0-0_095080_1993-06-17_final
1993-07-26 08:38:29	ga_ls5t_ard_3-0-0_089089_1993-07-25_final
1993-09-21 08:29:03	ga_ls5t_ard_3-0-0_088081_1993-09-20_final
1993-10-12 08:47:30	ga_ls5t_ard_3-0-0_091081_1993-10-11_final
1994-01-18 08:36:15	ga_ls5t_ard_3-0-0_089086_1994-01-17_final
1994-01-24 09:31:36	ga_ls5t_ard_3-0-0_099070_1994-01-24_final
1995-01-28 10:06:53	ga_ls5t_ard_3-0-0_106073_1995-01-28_final
1995-03-16 11:02:36	ga_ls5t_ard_3-0-0_115078_1995-03-16_final
1995-08-26 09:46:57	ga_ls5t_ard_3-0-0_104077_1995-08-26_final
1995-12-27 09:27:00	ga_ls5t_ard_3-0-0_101076_1995-12-26_final
1996-05-14 09:15:09	ga_ls5t_ard_3-0-0_098070_1996-05-13_final
1996-11-30 10:14:17	ga_ls5t_ard_3-0-0_106068_1996-11-30_final
1997-02-14 10:44:07	ga_ls5t_ard_3-0-0_110072_1997-02-14_final
1997-11-28 10:13:46	ga_ls5t_ard_3-0-0_103081_1997-11-28_final
1998-03-24 09:47:26	ga_ls5t_ard_3-0-0_099071_1998-03-24_final
1998-11-04 08:56:24	ga_ls5t_ard_3-0-0_090077_1998-11-03_final
1999-05-21 09:58:02	ga_ls5t_ard_3-0-0_100078_1999-05-21_final
1999-06-07 10:37:46	ga_ls5t_ard_3-0-0_107070_1999-06-07_final
1999-11-29 09:54:56	ga_ls5t_ard_3-0-0_100078_1999-11-29_final
2003-09-08 08:52:17	ga_ls5t_ard_3-0-0_089086_2003-09-07_final
2003-11-13 10:13:40	ga_ls5t_ard_3-0-0_103071_2003-11-13_final
2003-12-19 09:51:45	ga_ls5t_ard_3-0-0_099077_2003-12-19_final
2004-01-20 09:47:55	ga_ls5t_ard_3-0-0_099067_2004-01-20_final
2004-03-23 10:45:28	ga_ls5t_ard_3-0-0_108071_2004-03-23_final
2004-05-07 10:19:44	ga_ls5t_ard_3-0-0_103081_2004-05-07_final
2005-04-28 10:01:29	ga_ls5t_ard_3-0-0_099080_2005-04-28_final
2005-09-02 10:55:40	ga_ls5t_ard_3-0-0_108074_2005-09-02_final
2007-07-23 10:04:19	ga_ls5t_ard_3-0-0_099071_2007-07-23_final
2007-08-15 10:13:29	ga_ls5t_ard_3-0-0_100079_2007-08-15_final
2008-03-03 10:03:47	ga_ls5t_ard_3-0-0_099078_2008-03-03_final
2009-03-29 10:06:33	ga_ls5t_ard_3-0-0_100078_2009-03-29_final
2009-05-03 10:34:08	ga_ls5t_ard_3-0-0_105068_2009-05-03_final
2009-11-17 10:00:18	ga_ls5t_ard_3-0-0_099069_2009-11-17_final
2010-02-17 10:25:10	ga_ls5t_ard_3-0-0_103068_2010-02-17_final
2010-04-26 10:03:57	ga_ls5t_ard_3-0-0_099077_2010-04-26_final
2011-04-23 09:01:47	ga_ls5t_ard_3-0-0_089079_2011-04-22_final
2011-06-27 09:41:03	ga_ls5t_ard_3-0-0_096070_2011-06-27_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years