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
1987-11-07 11:09:08	ga_ls5t_ard_3-0-0_113081_1987-11-07_final
1987-11-08 10:08:21	ga_ls5t_ard_3-0-0_104068_1987-11-08_final
1987-11-25 10:51:33	ga_ls5t_ard_3-0-0_111067_1987-11-25_final
1988-02-18 09:36:36	ga_ls5t_ard_3-0-0_098077_1988-02-18_final
1988-07-09 09:50:46	ga_ls5t_ard_3-0-0_100079_1988-07-09_final
1988-08-07 09:17:31	ga_ls5t_ard_3-0-0_095073_1988-08-06_final
1988-10-14 10:31:55	ga_ls5t_ard_3-0-0_107074_1988-10-14_final
1988-12-26 08:48:13	ga_ls5t_ard_3-0-0_090078_1988-12-25_final
1989-06-29 08:41:25	ga_ls5t_ard_3-0-0_089083_1989-06-28_final
1989-07-21 11:19:39	ga_ls5t_ard_3-0-0_115078_1989-07-21_final
1989-12-10 09:49:05	ga_ls5t_ard_3-0-0_101077_1989-12-10_final
1989-12-14 09:27:04	ga_ls5t_ard_3-0-0_097084_1989-12-13_final
1991-01-25 09:24:15	ga_ls5t_ard_3-0-0_098069_1991-01-24_final
1991-09-27 09:49:48	ga_ls5t_ard_3-0-0_101078_1991-09-27_final
1991-10-08 09:27:24	ga_ls5t_ard_3-0-0_098068_1991-10-07_final
1991-10-21 09:00:36	ga_ls5t_ard_3-0-0_093078_1991-10-20_final
1991-11-02 11:06:11	ga_ls5t_ard_3-0-0_113083_1991-11-02_final
1992-01-07 10:49:33	ga_ls5t_ard_3-0-0_111072_1992-01-07_final
1992-09-13 09:47:37	ga_ls5t_ard_3-0-0_101077_1992-09-13_final
1993-03-01 09:39:21	ga_ls5t_ard_3-0-0_100072_1993-03-01_final
1993-03-05 10:54:22	ga_ls5t_ard_3-0-0_112074_1993-03-05_final
1993-03-20 10:08:46	ga_ls5t_ard_3-0-0_105068_1993-03-20_final
1993-10-22 09:19:42	ga_ls5t_ard_3-1-0_097069_1993-10-21_final
1995-06-30 08:20:02	ga_ls5t_ard_3-0-0_089085_1995-06-29_final
1995-08-28 09:30:55	ga_ls5t_ard_3-0-0_102068_1995-08-28_final
1995-09-09 10:00:38	ga_ls5t_ard_3-0-0_106082_1995-09-09_final
1997-05-18 10:19:51	ga_ls5t_ard_3-0-0_105080_1997-05-18_final
1997-09-19 10:45:26	ga_ls5t_ard_3-0-0_109072_1997-09-19_final
1998-09-29 10:57:56	ga_ls5t_ard_3-0-0_110072_1998-09-29_final
1998-12-03 10:04:26	ga_ls5t_ard_3-0-0_101077_1998-12-03_final
1999-04-23 11:11:24	ga_ls5t_ard_3-0-0_112075_1999-04-23_final
1999-07-11 08:51:04	ga_ls5t_ard_3-0-0_089082_1999-07-10_final
2003-11-16 10:47:50	ga_ls5t_ard_3-0-0_108079_2003-11-16_final
2004-01-29 09:48:11	ga_ls5t_ard_3-0-0_098083_2004-01-29_final
2004-02-22 10:32:57	ga_ls5t_ard_3-0-0_106071_2004-02-22_final
2004-03-19 09:29:42	ga_ls5t_ard_3-0-0_096067_2004-03-18_final
2004-06-14 11:23:27	ga_ls5t_ard_3-0-0_113083_2004-06-14_final
2004-08-31 09:54:09	ga_ls5t_ard_3-0-0_099071_2004-08-31_final
2005-03-27 10:00:57	ga_ls5t_ard_3-0-0_099079_2005-03-27_final
2007-01-17 10:28:09	ga_ls5t_ard_3-0-0_102081_2007-01-17_final
2007-08-03 09:51:40	ga_ls5t_ard_3-0-0_096086_2007-08-03_final
2007-08-24 10:03:12	ga_ls5t_ard_3-0-0_099069_2007-08-24_final
2007-09-15 11:07:13	ga_ls5t_ard_3-0-0_109075_2007-09-15_final
2008-03-31 10:24:44	ga_ls5t_ard_3-0-0_103070_2008-03-31_final
2008-09-29 09:42:35	ga_ls5t_ard_3-0-0_097070_2008-09-29_final
2009-02-04 11:24:02	ga_ls5t_ard_3-0-0_113074_2009-02-04_final
2009-06-03 09:51:26	ga_ls5t_ard_3-1-0_098068_2009-06-03_final
2009-11-05 11:15:58	ga_ls5t_ard_3-0-0_111073_2009-11-05_final
2011-07-04 09:47:11	ga_ls5t_ard_3-0-0_097070_2011-07-04_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