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

50 results

Time (local)	Label
1987-11-05 09:41:46	ga_ls5t_ard_3-0-0_099079_1987-11-05_final
1987-11-18 10:47:14	ga_ls5t_ard_3-0-0_110072_1987-11-18_final
1988-08-03 09:44:15	ga_ls5t_ard_3-0-0_099078_1988-08-03_final
1988-11-07 09:41:44	ga_ls5t_ard_3-0-0_099072_1988-11-07_final
1988-11-21 09:56:04	ga_ls5t_ard_3-0-0_101077_1988-11-21_final
1989-02-20 09:34:06	ga_ls5t_ard_3-0-0_098070_1989-02-20_final
1989-05-31 10:51:00	ga_ls5t_ard_3-0-0_110081_1989-05-31_final
1990-07-24 09:31:59	ga_ls5t_ard_3-0-0_099074_1990-07-24_final
1991-02-19 09:21:16	ga_ls5t_ard_3-0-0_097076_1991-02-18_final
1991-05-22 09:48:02	ga_ls5t_ard_3-0-0_101077_1991-05-22_final
1992-01-24 09:57:31	ga_ls5t_ard_3-0-0_102081_1992-01-24_final
1992-10-27 10:10:47	ga_ls5t_ard_3-0-0_105075_1992-10-27_final
1993-08-03 11:00:50	ga_ls5t_ard_3-0-0_113074_1993-08-03_final
1993-09-22 10:48:00	ga_ls5t_ard_3-0-0_111073_1993-09-22_final
1993-12-04 10:42:11	ga_ls5t_ard_3-0-0_110075_1993-12-04_final
1994-03-07 10:12:55	ga_ls5t_ard_3-1-0_105082_1994-03-07_final
1994-06-08 09:38:47	ga_ls5t_ard_3-0-0_100078_1994-06-08_final
1994-10-27 09:06:03	ga_ls5t_ard_3-0-0_095083_1994-10-26_final
1995-01-27 09:25:15	ga_ls5t_ard_3-0-0_099077_1995-01-26_final
1995-04-10 09:12:55	ga_ls5t_ard_3-0-0_098069_1995-04-09_final
1995-07-05 08:38:45	ga_ls5t_ard_3-0-0_092086_1995-07-04_final
1996-03-30 09:47:44	ga_ls5t_ard_3-0-0_103081_1996-03-30_final
1996-06-22 09:23:30	ga_ls5t_ard_3-0-0_099070_1996-06-21_final
1996-09-07 10:37:34	ga_ls5t_ard_3-0-0_110075_1996-09-07_final
1996-12-12 10:41:58	ga_ls5t_ard_3-0-0_110074_1996-12-12_final
1997-01-25 11:09:10	ga_ls5t_ard_3-0-0_114075_1997-01-25_final
1997-06-16 09:49:09	ga_ls5t_ard_3-0-0_100078_1997-06-16_final
1998-03-28 09:23:34	ga_ls5t_ard_3-0-0_095073_1998-03-27_final
1999-02-05 10:05:00	ga_ls5t_ard_3-0-0_101078_1999-02-05_final
2003-10-22 09:10:02	ga_ls5t_ard_3-1-0_093067_2003-10-21_final
2003-11-05 09:24:25	ga_ls5t_ard_3-1-0_095072_2003-11-04_final
2004-01-20 09:53:07	ga_ls5t_ard_3-0-0_099080_2004-01-20_final
2004-01-21 10:34:47	ga_ls5t_ard_3-0-0_106076_2004-01-21_final
2004-05-10 09:15:02	ga_ls5t_ard_3-0-0_092089_2004-05-09_final
2004-06-12 11:33:45	ga_ls5t_ard_3-0-0_115078_2004-06-12_final
2005-02-07 10:00:20	ga_ls5t_ard_3-0-0_099079_2005-02-07_final
2006-03-02 09:37:39	ga_ls5t_ard_3-0-0_095073_2006-03-02_final
2006-12-21 10:44:07	ga_ls5t_ard_3-0-0_105075_2006-12-21_final
2007-02-12 09:29:13	ga_ls5t_ard_3-0-0_092088_2007-02-11_final
2007-02-19 11:08:42	ga_ls5t_ard_3-0-0_109074_2007-02-19_final
2007-03-22 10:22:59	ga_ls5t_ard_3-0-0_102068_2007-03-22_final
2007-06-15 09:06:10	ga_ls5t_ard_3-0-0_089079_2007-06-14_final
2007-09-19 09:05:11	ga_ls5t_ard_3-0-0_089079_2007-09-18_final
2008-03-07 09:34:36	ga_ls5t_ard_3-0-0_095067_2008-03-07_final
2008-04-04 10:03:07	ga_ls5t_ard_3-0-0_099078_2008-04-04_final
2008-11-04 11:00:20	ga_ls5t_ard_3-0-0_109082_2008-11-04_final
2009-01-08 10:04:58	ga_ls5t_ard_3-0-0_100079_2009-01-08_final
2009-04-25 09:44:57	ga_ls5t_ard_3-1-0_097069_2009-04-25_final
2009-08-24 11:25:42	ga_ls5t_ard_3-0-0_112084_2009-08-24_final
2009-11-09 10:54:53	ga_ls5t_ard_3-0-0_107082_2009-11-09_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