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

60 results

Time (local)	Label
1987-10-08 10:51:02	ga_ls5t_ard_3-0-0_111068_1987-10-08_final
1987-11-21 11:20:35	ga_ls5t_ard_3-0-0_115078_1987-11-21_final
1988-01-26 09:27:14	ga_ls5t_ard_3-0-0_097070_1988-01-25_final
1988-05-17 09:33:57	ga_ls5t_ard_3-1-0_097084_1988-05-17_final
1989-05-06 10:54:02	ga_ls5t_ard_3-0-0_111072_1989-05-06_final
1989-08-11 10:00:03	ga_ls5t_ard_3-0-0_102081_1989-08-11_final
1989-09-07 11:18:37	ga_ls5t_ard_3-0-0_115078_1989-09-07_final
1989-12-28 09:36:12	ga_ls5t_ard_3-0-0_099077_1989-12-28_final
1990-10-27 08:48:57	ga_ls5t_ard_3-0-0_092076_1990-10-26_final
1990-12-08 09:23:49	ga_ls5t_ard_3-0-0_098071_1990-12-07_final
1991-03-22 10:14:44	ga_ls5t_ard_3-0-0_106069_1991-03-22_final
1991-07-16 09:56:33	ga_ls5t_ard_3-0-0_102081_1991-07-16_final
1991-10-15 09:37:15	ga_ls5t_ard_3-0-0_099077_1991-10-15_final
1992-04-24 09:34:10	ga_ls5t_ard_3-0-0_099070_1992-04-24_final
1992-05-17 09:43:22	ga_ls5t_ard_3-0-0_100078_1992-05-17_final
1992-07-30 10:15:36	ga_ls5t_ard_3-0-0_106068_1992-07-30_final
1992-08-14 11:14:59	ga_ls5t_ard_3-0-0_115078_1992-08-14_final
1992-10-08 09:41:15	ga_ls5t_ard_3-0-0_100078_1992-10-08_final
1992-12-13 09:28:13	ga_ls5t_ard_3-0-0_098077_1992-12-12_final
1993-01-05 11:14:19	ga_ls5t_ard_3-0-0_115079_1993-01-05_final
1993-03-10 09:36:04	ga_ls5t_ard_3-0-0_099079_1993-03-10_final
1993-11-15 08:36:27	ga_ls5t_ard_3-0-0_089085_1993-11-14_final
1993-12-24 08:44:00	ga_ls5t_ard_3-0-0_090089_1993-12-23_final
1994-01-25 08:43:58	ga_ls5t_ard_3-0-0_090090_1994-01-24_final
1994-09-01 09:56:21	ga_ls5t_ard_3-0-0_103081_1994-09-01_final
1995-03-10 09:57:03	ga_ls5t_ard_3-0-0_105068_1995-03-10_final
1995-04-13 09:48:29	ga_ls5t_ard_3-0-0_103081_1995-04-13_final
1995-05-23 08:54:04	ga_ls5t_ard_3-0-0_095073_1995-05-22_final
1996-02-22 09:24:48	ga_ls5t_ard_3-0-0_100076_1996-02-21_final
1996-10-03 09:37:35	ga_ls5t_ard_3-0-0_100076_1996-10-03_final
1997-03-28 09:46:21	ga_ls5t_ard_3-0-0_100078_1997-03-28_final
1998-03-28 09:23:34	ga_ls5t_ard_3-0-0_095073_1998-03-27_final
1998-04-12 08:44:05	ga_ls5t_ard_3-1-0_088082_1998-04-11_final
1998-06-12 09:48:58	ga_ls5t_ard_3-0-0_099072_1998-06-12_final
1998-08-17 09:42:26	ga_ls5t_ard_3-0-0_097085_1998-08-17_final
1998-08-30 09:12:30	ga_ls5t_ard_3-0-0_092087_1998-08-29_final
1998-11-24 10:12:17	ga_ls5t_ard_3-0-0_102081_1998-11-24_final
1999-01-07 08:56:57	ga_ls5t_ard_3-0-0_090078_1999-01-06_final
2003-09-30 09:51:36	ga_ls5t_ard_3-0-0_099079_2003-09-30_final
2004-01-28 10:43:24	ga_ls5t_ard_3-0-0_107082_2004-01-28_final
2004-02-05 09:52:23	ga_ls5t_ard_3-0-0_099078_2004-02-05_final
2004-02-09 11:04:34	ga_ls5t_ard_3-0-0_111073_2004-02-09_final
2004-05-12 08:57:57	ga_ls5t_ard_3-0-0_090077_2004-05-11_final
2004-07-14 11:33:53	ga_ls5t_ard_3-0-0_115076_2004-07-14_final
2004-08-15 11:35:48	ga_ls5t_ard_3-0-0_115079_2004-08-15_final
2005-02-13 09:18:34	ga_ls5t_ard_3-0-0_093067_2005-02-12_final
2005-09-06 10:28:33	ga_ls5t_ard_3-0-0_104068_2005-09-06_final
2006-10-14 09:33:45	ga_ls5t_ard_3-0-0_093086_2006-10-14_final
2007-03-03 09:53:20	ga_ls5t_ard_3-0-0_097071_2007-03-03_final
2007-05-09 10:28:15	ga_ls5t_ard_3-0-0_102082_2007-05-09_final
2007-08-03 09:51:16	ga_ls5t_ard_3-0-0_096085_2007-08-03_final
2007-09-25 10:03:20	ga_ls5t_ard_3-0-0_099070_2007-09-25_final
2008-10-23 10:30:26	ga_ls5t_ard_3-0-0_105068_2008-10-23_final
2008-10-27 10:09:10	ga_ls5t_ard_3-0-0_101077_2008-10-27_final
2008-11-24 08:56:29	ga_ls5t_ard_3-0-0_089081_2008-11-23_final
2008-12-01 09:04:53	ga_ls5t_ard_3-0-0_090086_2008-11-30_final
2009-01-14 11:08:55	ga_ls5t_ard_3-0-0_110084_2009-01-14_final
2009-02-28 10:32:48	ga_ls5t_ard_3-0-0_105068_2009-02-28_final
2009-12-10 10:07:53	ga_ls5t_ard_3-0-0_100072_2009-12-10_final
2010-01-20 10:01:32	ga_ls5t_ard_3-0-0_099071_2010-01-20_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