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
1987-11-03 09:55:41	ga_ls5t_ard_3-1-0_101083_1987-11-03_final
1987-12-23 09:38:11	ga_ls5t_ard_3-0-0_099068_1987-12-23_final
1988-02-18 09:36:36	ga_ls5t_ard_3-0-0_098077_1988-02-18_final
1988-03-05 09:36:46	ga_ls5t_ard_3-0-0_098077_1988-03-05_final
1988-03-19 09:50:03	ga_ls5t_ard_3-0-0_100079_1988-03-19_final
1988-07-10 08:57:57	ga_ls5t_ard_3-0-0_091086_1988-07-09_final
1988-07-10 10:32:26	ga_ls5t_ard_3-0-0_107075_1988-07-10_final
1988-10-01 11:00:07	ga_ls5t_ard_3-0-0_112067_1988-10-01_final
1988-10-18 10:06:24	ga_ls5t_ard_3-0-0_103072_1988-10-18_final
1989-08-23 08:48:50	ga_ls5t_ard_3-0-0_090089_1989-08-22_final
1989-10-16 09:44:01	ga_ls5t_ard_3-0-0_100076_1989-10-16_final
1989-12-25 09:09:00	ga_ls5t_ard_3-0-0_094086_1989-12-24_final
1990-07-16 08:47:22	ga_ls5t_ard_3-0-0_091086_1990-07-15_final
1990-09-17 09:36:44	ga_ls5t_ard_3-0-0_100071_1990-09-17_final
1991-06-24 08:56:52	ga_ls5t_ard_3-0-0_092087_1991-06-23_final
1992-03-31 10:25:26	ga_ls5t_ard_3-0-0_107074_1992-03-31_final
1992-04-13 09:57:14	ga_ls5t_ard_3-0-0_102081_1992-04-13_final
1992-06-10 08:56:06	ga_ls5t_ard_3-0-0_092084_1992-06-09_final
1993-02-15 09:25:42	ga_ls5t_ard_3-0-0_098069_1993-02-14_final
1993-12-11 10:47:31	ga_ls5t_ard_3-0-0_111073_1993-12-11_final
1994-04-29 08:53:41	ga_ls5t_ard_3-0-0_092087_1994-04-28_final
1995-09-09 09:56:39	ga_ls5t_ard_3-0-0_106072_1995-09-09_final
1996-04-13 09:58:10	ga_ls5t_ard_3-0-0_105074_1996-04-13_final
1996-07-12 09:00:36	ga_ls5t_ard_3-0-0_095072_1996-07-11_final
1996-08-08 10:21:59	ga_ls5t_ard_3-0-0_108071_1996-08-08_final
1996-08-21 09:50:34	ga_ls5t_ard_3-0-0_103068_1996-08-21_final
1997-01-25 09:28:41	ga_ls5t_ard_3-0-0_098071_1997-01-24_final
1997-02-07 10:38:50	ga_ls5t_ard_3-0-0_109075_1997-02-07_final
1998-02-02 09:58:57	ga_ls5t_ard_3-0-0_101071_1998-02-02_final
1999-02-24 10:35:13	ga_ls5t_ard_3-0-0_106076_1999-02-24_final
1999-06-25 10:28:52	ga_ls5t_ard_3-0-0_105079_1999-06-25_final
2004-01-19 10:46:20	ga_ls5t_ard_3-0-0_108074_2004-01-19_final
2004-06-19 09:58:27	ga_ls5t_ard_3-0-0_100071_2004-06-19_final
2004-07-20 10:59:21	ga_ls5t_ard_3-0-0_109082_2004-07-20_final
2004-07-30 09:53:22	ga_ls5t_ard_3-0-0_099071_2004-07-30_final
2005-05-25 11:16:51	ga_ls5t_ard_3-1-0_112067_2005-05-25_final
2005-09-21 11:27:46	ga_ls5t_ard_3-0-0_113077_2005-09-21_final
2005-11-23 09:06:28	ga_ls5t_ard_3-0-0_090078_2005-11-22_final
2006-05-02 09:09:26	ga_ls5t_ard_3-0-0_090077_2006-05-01_final
2006-07-29 10:02:56	ga_ls5t_ard_3-0-0_098084_2006-07-29_final
2006-08-02 09:37:04	ga_ls5t_ard_3-0-0_094081_2006-08-02_final
2006-10-07 09:27:54	ga_ls5t_ard_3-0-0_092087_2006-10-06_final
2007-03-05 09:41:46	ga_ls5t_ard_3-0-0_095073_2007-03-05_final
2007-09-18 10:00:01	ga_ls5t_ard_3-0-0_098077_2007-09-18_final
2008-02-16 10:01:42	ga_ls5t_ard_3-0-0_099072_2008-02-16_final
2008-03-29 10:39:32	ga_ls5t_ard_3-0-0_105076_2008-03-29_final
2008-12-15 10:50:10	ga_ls5t_ard_3-0-0_108070_2008-12-15_final
2008-12-30 10:07:44	ga_ls5t_ard_3-0-0_101071_2008-12-30_final
2009-11-30 11:10:47	ga_ls5t_ard_3-0-0_110075_2009-11-30_final
2011-11-15 09:15:07	ga_ls5t_ard_3-0-0_091087_2011-11-14_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