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

61 results

Time (local)	Label
1988-01-02 08:42:09	ga_ls5t_ard_3-0-0_089082_1988-01-01_final
1988-02-13 10:58:04	ga_ls5t_ard_3-0-0_111080_1988-02-13_final
1988-04-14 10:27:40	ga_ls5t_ard_3-0-0_106080_1988-04-14_final
1988-08-04 08:51:49	ga_ls5t_ard_3-0-0_090086_1988-08-03_final
1988-10-18 10:09:59	ga_ls5t_ard_3-0-0_103081_1988-10-18_final
1989-02-13 09:31:10	ga_ls5t_ard_3-0-0_097078_1989-02-13_final
1989-05-24 10:42:07	ga_ls5t_ard_3-0-0_109074_1989-05-24_final
1989-08-12 10:41:42	ga_ls5t_ard_3-0-0_109077_1989-08-12_final
1989-10-03 08:37:23	ga_ls5t_ard_3-0-0_089078_1989-10-02_final
1990-04-07 09:06:53	ga_ls5t_ard_3-0-0_095073_1990-04-06_final
1990-07-09 10:17:42	ga_ls5t_ard_3-0-0_106080_1990-07-09_final
1991-01-03 10:02:19	ga_ls5t_ard_3-1-0_104073_1991-01-03_final
1991-02-02 08:38:03	ga_ls5t_ard_3-0-0_090077_1991-02-01_final
1991-05-09 10:16:43	ga_ls5t_ard_3-0-0_106072_1991-05-09_final
1991-05-18 10:11:51	ga_ls5t_ard_3-0-0_105075_1991-05-18_final
1991-09-24 10:53:25	ga_ls5t_ard_3-1-0_112067_1991-09-24_final
1992-08-23 11:07:27	ga_ls5t_ard_3-0-0_114075_1992-08-23_final
1992-12-12 08:44:57	ga_ls5t_ard_3-0-0_091077_1992-12-11_final
1993-05-22 11:07:08	ga_ls5t_ard_3-0-0_114074_1993-05-22_final
1993-11-03 09:47:57	ga_ls5t_ard_3-0-0_101078_1993-11-03_final
1994-04-20 08:54:50	ga_ls5t_ard_3-0-0_093074_1994-04-19_final
1994-11-03 09:06:47	ga_ls5t_ard_3-0-0_096070_1994-11-02_final
1994-12-26 09:27:13	ga_ls5t_ard_3-0-0_099079_1994-12-25_final
1995-05-19 09:21:46	ga_ls5t_ard_3-0-0_099080_1995-05-18_final
1995-07-31 09:08:16	ga_ls5t_ard_3-0-0_098070_1995-07-30_final
1995-10-08 09:26:39	ga_ls5t_ard_3-0-0_101078_1995-10-07_final
1995-11-02 09:18:26	ga_ls5t_ard_3-0-0_100076_1995-11-01_final
1995-11-11 09:10:11	ga_ls5t_ard_3-0-0_099071_1995-11-10_final
1995-11-12 08:21:44	ga_ls5t_ard_3-0-0_090089_1995-11-11_final
1996-02-26 10:38:49	ga_ls5t_ard_3-0-0_112075_1996-02-26_final
1996-06-09 08:19:36	ga_ls5t_ard_3-0-0_088082_1996-06-08_final
1996-08-04 09:12:48	ga_ls5t_ard_3-0-0_096084_1996-08-03_final
1996-11-15 11:01:37	ga_ls5t_ard_3-0-0_113080_1996-11-15_final
1996-11-20 09:40:42	ga_ls5t_ard_3-0-0_100078_1996-11-20_final
1997-05-24 09:39:00	ga_ls5t_ard_3-0-0_099070_1997-05-24_final
1998-03-12 11:02:14	ga_ls5t_ard_3-0-0_111073_1998-03-12_final
1998-08-14 10:44:48	ga_ls5t_ard_3-0-0_108071_1998-08-14_final
1998-12-05 09:52:52	ga_ls5t_ard_3-0-0_099079_1998-12-05_final
1998-12-05 09:53:16	ga_ls5t_ard_3-0-0_099080_1998-12-05_final
1999-01-11 10:07:53	ga_ls5t_ard_3-0-0_102070_1999-01-11_final
1999-04-29 10:32:41	ga_ls5t_ard_3-0-0_106071_1999-04-29_final
2003-12-17 10:04:29	ga_ls5t_ard_3-0-0_101078_2003-12-17_final
2004-06-22 08:56:33	ga_ls5t_ard_3-0-0_089086_2004-06-21_final
2004-08-15 09:52:55	ga_ls5t_ard_3-0-0_099069_2004-08-15_final
2004-12-23 11:24:39	ga_ls5t_ard_3-0-0_113075_2004-12-23_final
2005-01-10 09:30:26	ga_ls5t_ard_3-0-0_095067_2005-01-10_final
2005-04-27 10:56:19	ga_ls5t_ard_3-0-0_108078_2005-04-27_final
2005-07-12 11:23:34	ga_ls5t_ard_3-0-0_112083_2005-07-12_final
2005-08-30 10:23:57	ga_ls5t_ard_3-0-0_103072_2005-08-30_final
2006-01-21 10:25:47	ga_ls5t_ard_3-0-0_103072_2006-01-21_final
2006-01-24 10:56:22	ga_ls5t_ard_3-0-0_108071_2006-01-24_final
2006-07-08 11:21:48	ga_ls5t_ard_3-0-0_111081_2006-07-08_final
2006-12-22 11:30:59	ga_ls5t_ard_3-0-0_112084_2006-12-22_final
2007-02-26 11:18:28	ga_ls5t_ard_3-0-0_110083_2007-02-26_final
2007-03-03 09:58:31	ga_ls5t_ard_3-0-0_097084_2007-03-03_final
2007-03-27 10:41:30	ga_ls5t_ard_3-0-0_105068_2007-03-27_final
2007-07-23 10:07:55	ga_ls5t_ard_3-0-0_099080_2007-07-23_final
2008-03-01 10:13:24	ga_ls5t_ard_3-0-0_101071_2008-03-01_final
2008-10-17 09:33:37	ga_ls5t_ard_3-0-0_095080_2008-10-17_final
2008-12-07 10:01:17	ga_ls5t_ard_3-0-0_100072_2008-12-07_final
2010-12-14 10:50:24	ga_ls5t_ard_3-0-0_107072_2010-12-14_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