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
1986-08-21 09:40:20	ga_ls5t_ard_3-0-0_100076_1986-08-21_final
1987-12-24 08:49:46	ga_ls5t_ard_3-0-0_090086_1987-12-23_final
1988-02-22 10:48:49	ga_ls5t_ard_3-0-0_110072_1988-02-22_final
1988-03-28 09:42:45	ga_ls5t_ard_3-0-0_099076_1988-03-28_final
1988-06-07 09:50:14	ga_ls5t_ard_3-0-0_100078_1988-06-07_final
1988-12-17 10:33:18	ga_ls5t_ard_3-0-0_107078_1988-12-17_final
1989-02-05 08:44:33	ga_ls5t_ard_3-0-0_089085_1989-02-04_final
1989-06-07 10:53:52	ga_ls5t_ard_3-0-0_111073_1989-06-07_final
1989-07-24 08:34:20	ga_ls5t_ard_3-0-0_088082_1989-07-23_final
1989-11-05 11:00:54	ga_ls5t_ard_3-0-0_112084_1989-11-05_final
1989-11-21 10:56:12	ga_ls5t_ard_3-0-0_112074_1989-11-21_final
1989-12-20 08:51:24	ga_ls5t_ard_3-0-0_091088_1989-12-19_final
1990-03-10 10:22:53	ga_ls5t_ard_3-0-0_107076_1990-03-10_final
1990-05-17 09:54:31	ga_ls5t_ard_3-0-0_103068_1990-05-17_final
1990-08-20 10:55:48	ga_ls5t_ard_3-0-0_112083_1990-08-20_final
1990-08-31 10:33:35	ga_ls5t_ard_3-0-0_109074_1990-08-31_final
1990-10-25 10:42:13	ga_ls5t_ard_3-0-0_110081_1990-10-25_final
1990-12-25 10:09:02	ga_ls5t_ard_3-0-0_105075_1990-12-25_final
1991-01-20 09:12:23	ga_ls5t_ard_3-0-0_095086_1991-01-19_final
1991-02-04 10:04:32	ga_ls5t_ard_3-0-0_104077_1991-02-04_final
1991-04-21 08:53:50	ga_ls5t_ard_3-0-0_092082_1991-04-20_final
1991-07-22 09:21:35	ga_ls5t_ard_3-0-0_096086_1991-07-21_final
1992-02-20 11:16:33	ga_ls5t_ard_3-0-0_115078_1992-02-20_final
1992-04-18 08:36:04	ga_ls5t_ard_3-0-0_089079_1992-04-17_final
1992-04-24 09:34:34	ga_ls5t_ard_3-0-0_099071_1992-04-24_final
1992-04-26 09:24:36	ga_ls5t_ard_3-0-0_097077_1992-04-25_final
1992-06-07 10:02:55	ga_ls5t_ard_3-0-0_103081_1992-06-07_final
1993-03-26 11:14:33	ga_ls5t_ard_3-0-0_115078_1993-03-26_final
1994-01-08 11:13:07	ga_ls5t_ard_3-0-0_115076_1994-01-08_final
1995-02-13 10:04:13	ga_ls5t_ard_3-0-0_106068_1995-02-13_final
1996-01-18 08:53:52	ga_ls5t_ard_3-0-0_095082_1996-01-17_final
1996-01-18 10:29:10	ga_ls5t_ard_3-0-0_111073_1996-01-18_final
1997-02-14 10:44:07	ga_ls5t_ard_3-0-0_110072_1997-02-14_final
1997-03-11 09:06:02	ga_ls5t_ard_3-0-0_093087_1997-03-10_final
1997-03-28 09:45:09	ga_ls5t_ard_3-0-0_100075_1997-03-28_final
1997-04-12 10:40:55	ga_ls5t_ard_3-0-0_109074_1997-04-12_final
1998-02-04 09:47:26	ga_ls5t_ard_3-0-0_099073_1998-02-04_final
1998-03-09 10:30:29	ga_ls5t_ard_3-0-0_106071_1998-03-09_final
1998-11-23 09:25:26	ga_ls5t_ard_3-0-0_095072_1998-11-22_final
1999-01-12 10:53:56	ga_ls5t_ard_3-0-0_109077_1999-01-12_final
1999-06-15 09:51:29	ga_ls5t_ard_3-0-0_099078_1999-06-15_final
2003-11-26 09:42:37	ga_ls5t_ard_3-0-0_098070_2003-11-26_final
2003-12-12 09:47:52	ga_ls5t_ard_3-0-0_098083_2003-12-12_final
2004-01-03 10:46:18	ga_ls5t_ard_3-0-0_108074_2004-01-03_final
2005-05-24 10:36:46	ga_ls5t_ard_3-0-0_105075_2005-05-24_final
2005-06-05 11:01:36	ga_ls5t_ard_3-0-0_109075_2005-06-05_final
2005-08-02 09:57:52	ga_ls5t_ard_3-0-0_099069_2005-08-02_final
2006-08-11 09:28:12	ga_ls5t_ard_3-0-0_093074_2006-08-10_final
2008-04-09 10:19:32	ga_ls5t_ard_3-0-0_102073_2008-04-09_final
2009-01-11 10:31:58	ga_ls5t_ard_3-0-0_105069_2009-01-11_final
2009-04-03 10:26:23	ga_ls5t_ard_3-0-0_103081_2009-04-03_final
2009-08-27 10:16:58	ga_ls5t_ard_3-0-0_101082_2009-08-27_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