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

52 results

Time (local)	Label
1987-10-04 09:40:47	ga_ls5t_ard_3-0-0_099078_1987-10-04_final
1988-04-13 09:43:13	ga_ls5t_ard_3-0-0_099077_1988-04-13_final
1988-04-23 08:43:52	ga_ls5t_ard_3-0-0_089083_1988-04-22_final
1988-04-29 09:43:42	ga_ls5t_ard_3-0-0_099078_1988-04-29_final
1988-08-11 08:58:22	ga_ls5t_ard_3-0-0_091087_1988-08-10_final
1988-08-14 11:02:59	ga_ls5t_ard_3-0-0_112074_1988-08-14_final
1988-10-26 09:16:57	ga_ls5t_ard_3-0-0_095072_1988-10-25_final
1989-04-16 09:39:47	ga_ls5t_ard_3-0-0_099071_1989-04-16_final
1989-10-08 08:58:59	ga_ls5t_ard_3-0-0_092086_1989-10-07_final
1989-11-10 11:16:26	ga_ls5t_ard_3-0-0_115077_1989-11-10_final
1990-09-03 09:23:59	ga_ls5t_ard_3-0-0_098070_1990-09-02_final
1990-12-24 09:26:57	ga_ls5t_ard_3-0-0_098078_1990-12-23_final
1991-01-28 09:57:36	ga_ls5t_ard_3-0-0_103075_1991-01-28_final
1991-04-22 11:13:36	ga_ls5t_ard_3-0-0_115076_1991-04-22_final
1991-06-09 11:15:12	ga_ls5t_ard_3-0-0_115078_1991-06-09_final
1991-10-11 10:03:30	ga_ls5t_ard_3-0-0_103081_1991-10-11_final
1991-11-04 09:10:34	ga_ls5t_ard_3-0-0_095072_1991-11-03_final
1991-11-10 08:36:19	ga_ls5t_ard_3-0-0_089079_1991-11-09_final
1992-04-18 10:16:32	ga_ls5t_ard_3-1-0_105083_1992-04-18_final
1992-06-19 08:50:10	ga_ls5t_ard_3-0-0_091085_1992-06-18_final
1993-07-21 09:55:39	ga_ls5t_ard_3-0-0_102081_1993-07-21_final
1993-07-30 09:45:51	ga_ls5t_ard_3-0-0_101072_1993-07-30_final
1993-12-17 10:14:22	ga_ls5t_ard_3-1-0_105083_1993-12-17_final
1994-02-14 09:54:19	ga_ls5t_ard_3-0-0_102081_1994-02-14_final
1994-04-01 10:02:46	ga_ls5t_ard_3-0-0_104073_1994-04-01_final
1994-06-08 09:38:47	ga_ls5t_ard_3-0-0_100078_1994-06-08_final
1994-10-23 09:26:08	ga_ls5t_ard_3-0-0_099071_1994-10-22_final
1995-02-10 09:34:39	ga_ls5t_ard_3-0-0_101071_1995-02-10_final
1995-04-21 10:34:23	ga_ls5t_ard_3-0-0_111073_1995-04-21_final
1995-06-12 08:33:59	ga_ls5t_ard_3-0-0_091087_1995-06-11_final
1995-07-12 08:44:12	ga_ls5t_ard_3-0-0_093085_1995-07-11_final
1996-01-08 08:14:52	ga_ls5t_ard_3-0-0_089079_1996-01-07_final
1996-06-06 09:25:02	ga_ls5t_ard_3-0-0_099076_1996-06-05_final
1996-07-02 08:27:00	ga_ls5t_ard_3-0-0_089082_1996-07-01_final
1996-07-26 09:18:30	ga_ls5t_ard_3-0-0_097084_1996-07-25_final
1996-09-16 10:32:17	ga_ls5t_ard_3-0-0_109076_1996-09-16_final
1996-11-07 10:07:01	ga_ls5t_ard_3-0-0_105068_1996-11-07_final
1997-03-05 11:18:11	ga_ls5t_ard_3-0-0_115078_1997-03-05_final
1997-09-26 10:51:26	ga_ls5t_ard_3-0-0_110071_1997-09-26_final
1998-02-27 09:56:02	ga_ls5t_ard_3-0-0_100078_1998-02-27_final
1999-03-27 09:49:56	ga_ls5t_ard_3-0-0_099072_1999-03-27_final
2004-01-11 09:58:04	ga_ls5t_ard_3-0-0_100077_2004-01-11_final
2004-08-31 09:59:20	ga_ls5t_ard_3-0-0_099084_2004-08-31_final
2005-08-11 11:29:50	ga_ls5t_ard_3-0-0_114067_2005-08-11_final
2005-10-21 11:40:27	ga_ls5t_ard_3-0-0_115078_2005-10-21_final
2006-11-09 10:08:17	ga_ls5t_ard_3-0-0_099079_2006-11-09_final
2007-02-13 11:47:23	ga_ls5t_ard_3-0-0_115078_2007-02-13_final
2007-03-21 11:20:36	ga_ls5t_ard_3-0-0_111073_2007-03-21_final
2009-02-08 09:17:44	ga_ls5t_ard_3-0-0_093067_2009-02-07_final
2009-04-08 10:42:14	ga_ls5t_ard_3-0-0_106074_2009-04-08_final
2010-04-27 10:43:37	ga_ls5t_ard_3-0-0_106068_2010-04-27_final
2011-10-22 09:57:54	ga_ls5t_ard_3-0-0_099069_2011-10-22_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