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

45 results

Time (local)	Label
1988-04-13 09:44:01	ga_ls5t_ard_3-0-0_099079_1988-04-13_final
1988-10-13 09:49:51	ga_ls5t_ard_3-0-0_100077_1988-10-13_final
1989-02-26 10:37:23	ga_ls5t_ard_3-0-0_108074_1989-02-26_final
1989-05-02 09:41:54	ga_ls5t_ard_3-0-0_099077_1989-05-02_final
1989-09-02 10:58:37	ga_ls5t_ard_3-0-0_112074_1989-09-02_final
1990-05-04 08:55:10	ga_ls5t_ard_3-1-0_092090_1990-05-03_final
1990-05-28 09:39:29	ga_ls5t_ard_3-0-0_100077_1990-05-28_final
1990-06-10 10:49:52	ga_ls5t_ard_3-0-0_111083_1990-06-10_final
1991-12-18 11:16:22	ga_ls5t_ard_3-0-0_115077_1991-12-18_final
1994-03-22 09:28:15	ga_ls5t_ard_3-0-0_098079_1994-03-21_final
1994-03-29 11:12:24	ga_ls5t_ard_3-0-0_115077_1994-03-29_final
1995-07-28 10:17:59	ga_ls5t_ard_3-0-0_109074_1995-07-28_final
1996-01-16 09:05:41	ga_ls5t_ard_3-0-0_097081_1996-01-15_final
1996-05-11 10:24:34	ga_ls5t_ard_3-0-0_109074_1996-05-11_final
1996-11-21 10:22:48	ga_ls5t_ard_3-0-0_107075_1996-11-21_final
1997-02-10 09:32:34	ga_ls5t_ard_3-0-0_098079_1997-02-10_final
1997-08-27 10:39:24	ga_ls5t_ard_3-0-0_108074_1997-08-27_final
1997-09-13 09:45:28	ga_ls5t_ard_3-0-0_099077_1997-09-13_final
1997-11-06 10:47:33	ga_ls5t_ard_3-0-0_109074_1997-11-06_final
1998-07-20 10:52:01	ga_ls5t_ard_3-0-0_109074_1998-07-20_final
1998-10-27 11:24:41	ga_ls5t_ard_3-0-0_114077_1998-10-27_final
1998-11-02 10:46:26	ga_ls5t_ard_3-0-0_108074_1998-11-02_final
1999-04-02 10:52:26	ga_ls5t_ard_3-0-0_109074_1999-04-02_final
1999-04-03 09:58:24	ga_ls5t_ard_3-0-0_100078_1999-04-03_final
1999-07-26 09:45:04	ga_ls5t_ard_3-0-0_098078_1999-07-26_final
2003-09-21 09:57:17	ga_ls5t_ard_3-0-0_100078_2003-09-21_final
2003-10-06 10:51:30	ga_ls5t_ard_3-0-0_109074_2003-10-06_final
2003-10-22 10:51:43	ga_ls5t_ard_3-0-0_109074_2003-10-22_final
2003-12-20 10:34:13	ga_ls5t_ard_3-0-0_106075_2003-12-20_final
2004-04-15 10:53:24	ga_ls5t_ard_3-0-0_109074_2004-04-15_final
2004-04-25 09:53:29	ga_ls5t_ard_3-0-0_099078_2004-04-25_final
2004-06-20 09:10:03	ga_ls5t_ard_3-0-0_091089_2004-06-19_final
2004-09-24 10:46:12	ga_ls5t_ard_3-0-0_107076_2004-09-24_final
2004-10-10 10:46:32	ga_ls5t_ard_3-0-0_107076_2004-10-10_final
2005-04-18 11:00:51	ga_ls5t_ard_3-0-0_109074_2005-04-18_final
2005-10-13 10:52:12	ga_ls5t_ard_3-0-0_107081_2005-10-13_final
2005-10-24 10:30:28	ga_ls5t_ard_3-1-0_104073_2005-10-24_final
2006-05-25 10:54:00	ga_ls5t_ard_3-0-0_107075_2006-05-25_final
2006-10-16 09:17:49	ga_ls5t_ard_3-0-0_091077_2006-10-15_final
2007-01-20 10:56:41	ga_ls5t_ard_3-0-0_107075_2007-01-20_final
2007-02-21 10:56:44	ga_ls5t_ard_3-0-0_107075_2007-02-21_final
2007-05-28 10:56:07	ga_ls5t_ard_3-0-0_107075_2007-05-28_final
2007-06-29 09:21:26	ga_ls5t_ard_3-0-0_091087_2007-06-28_final
2007-08-08 10:07:22	ga_ls5t_ard_3-0-0_099079_2007-08-08_final
2007-08-28 09:40:02	ga_ls5t_ard_3-0-0_095073_2007-08-28_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years