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
1987-09-21 08:33:43	ga_ls5t_ard_3-1-0_088081_1987-09-20_final
1988-01-02 10:21:02	ga_ls5t_ard_3-0-0_105082_1988-01-02_final
1988-01-18 08:40:50	ga_ls5t_ard_3-0-0_089078_1988-01-17_final
1988-01-26 09:27:14	ga_ls5t_ard_3-0-0_097070_1988-01-25_final
1988-07-24 10:44:27	ga_ls5t_ard_3-0-0_109074_1988-07-24_final
1988-07-31 10:50:14	ga_ls5t_ard_3-0-0_110073_1988-07-31_final
1988-10-06 09:41:22	ga_ls5t_ard_3-0-0_099071_1988-10-06_final
1988-12-02 09:40:18	ga_ls5t_ard_3-0-0_098084_1988-12-02_final
1988-12-28 10:14:20	ga_ls5t_ard_3-0-0_104077_1988-12-28_final
1989-02-11 09:41:31	ga_ls5t_ard_3-0-0_099073_1989-02-11_final
1990-02-21 09:40:37	ga_ls5t_ard_3-0-0_100077_1990-02-21_final
1990-02-27 10:39:50	ga_ls5t_ard_3-0-0_110071_1990-02-27_final
1991-05-25 10:15:24	ga_ls5t_ard_3-0-0_106068_1991-05-25_final
1991-11-16 09:34:32	ga_ls5t_ard_3-1-0_099070_1991-11-16_final
1992-01-11 08:52:18	ga_ls5t_ard_3-0-0_091088_1992-01-10_final
1992-01-25 10:38:48	ga_ls5t_ard_3-0-0_109076_1992-01-25_final
1992-11-11 09:28:25	ga_ls5t_ard_3-0-0_098078_1992-11-10_final
1993-04-01 10:36:20	ga_ls5t_ard_3-0-0_109075_1993-04-01_final
1993-12-04 10:42:11	ga_ls5t_ard_3-0-0_110075_1993-12-04_final
1994-10-14 09:35:00	ga_ls5t_ard_3-0-0_100077_1994-10-14_final
1994-12-17 09:32:54	ga_ls5t_ard_3-0-0_100077_1994-12-17_final
1995-12-23 09:51:01	ga_ls5t_ard_3-0-0_105075_1995-12-23_final
1996-08-20 10:48:32	ga_ls5t_ard_3-0-0_112074_1996-08-20_final
1996-10-06 10:08:38	ga_ls5t_ard_3-0-0_105076_1996-10-06_final
1996-10-11 10:27:02	ga_ls5t_ard_3-0-0_108075_1996-10-11_final
1997-03-12 09:43:21	ga_ls5t_ard_3-0-0_100072_1997-03-12_final
1997-03-12 09:45:21	ga_ls5t_ard_3-0-0_100077_1997-03-12_final
1997-03-21 09:39:55	ga_ls5t_ard_3-0-0_099078_1997-03-21_final
1997-05-28 10:54:06	ga_ls5t_ard_3-0-0_111072_1997-05-28_final
1997-08-06 10:21:24	ga_ls5t_ard_3-0-0_105077_1997-08-06_final
1998-09-14 10:04:14	ga_ls5t_ard_3-0-0_101077_1998-09-14_final
1999-04-13 08:56:13	ga_ls5t_ard_3-0-0_090077_1999-04-12_final
2003-07-03 09:55:30	ga_ls5t_ard_3-0-0_100077_2003-07-03_final
2004-06-27 09:15:39	ga_ls5t_ard_3-0-0_092087_2004-06-26_final
2004-08-05 10:56:52	ga_ls5t_ard_3-0-0_109075_2004-08-05_final
2004-08-06 10:02:04	ga_ls5t_ard_3-0-0_100077_2004-08-06_final
2004-09-06 10:58:07	ga_ls5t_ard_3-0-0_109076_2004-09-06_final
2004-12-09 11:11:15	ga_ls5t_ard_3-0-0_111073_2004-12-09_final
2005-09-13 10:37:32	ga_ls5t_ard_3-0-0_105075_2005-09-13_final
2005-09-23 11:13:48	ga_ls5t_ard_3-0-0_111073_2005-09-23_final
2006-06-18 10:02:09	ga_ls5t_ard_3-0-0_099068_2006-06-18_final
2006-09-12 11:07:53	ga_ls5t_ard_3-0-0_109075_2006-09-12_final
2006-11-12 10:40:25	ga_ls5t_ard_3-0-0_104082_2006-11-12_final
2007-04-12 10:44:37	ga_ls5t_ard_3-0-0_105076_2007-04-12_final
2008-05-03 11:08:21	ga_ls5t_ard_3-0-0_110073_2008-05-03_final
2008-08-16 11:00:02	ga_ls5t_ard_3-0-0_109075_2008-08-16_final
2008-11-24 10:33:22	ga_ls5t_ard_3-0-0_105076_2008-11-24_final
2009-03-25 10:29:11	ga_ls5t_ard_3-0-0_104073_2009-03-25_final
2009-12-08 10:23:48	ga_ls5t_ard_3-0-0_102081_2009-12-08_final
2011-01-11 09:36:44	ga_ls5t_ard_3-0-0_095073_2011-01-11_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