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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

51 results

Time (local)	Label
1987-07-15 10:32:42	ga_ls5t_ard_3-0-0_108074_1987-07-15_final
1987-10-11 09:46:41	ga_ls5t_ard_3-0-0_100077_1987-10-11_final
1988-01-31 09:48:40	ga_ls5t_ard_3-0-0_100077_1988-01-31_final
1988-08-02 10:38:16	ga_ls5t_ard_3-0-0_108074_1988-08-02_final
1989-05-18 09:39:10	ga_ls5t_ard_3-0-0_099071_1989-05-18_final
1989-06-02 09:02:07	ga_ls5t_ard_3-0-0_092087_1989-06-01_final
1989-10-02 09:33:01	ga_ls5t_ard_3-0-0_098078_1989-10-02_final
1992-09-14 10:29:40	ga_ls5t_ard_3-0-0_108074_1992-09-14_final
1993-06-29 10:29:58	ga_ls5t_ard_3-0-0_108074_1993-06-29_final
1994-04-29 10:27:22	ga_ls5t_ard_3-0-0_108074_1994-04-29_final
1994-08-03 10:25:09	ga_ls5t_ard_3-0-0_108074_1994-08-03_final
1994-10-30 09:34:27	ga_ls5t_ard_3-0-0_100077_1994-10-30_final
1995-07-05 08:37:57	ga_ls5t_ard_3-0-0_092084_1995-07-04_final
1995-08-04 08:50:10	ga_ls5t_ard_3-0-0_094087_1995-08-03_final
1995-11-27 10:52:13	ga_ls5t_ard_3-0-0_115078_1995-11-27_final
1996-05-13 10:12:43	ga_ls5t_ard_3-0-0_107075_1996-05-13_final
1996-05-23 09:15:05	ga_ls5t_ard_3-0-0_097084_1996-05-22_final
1996-07-23 10:22:21	ga_ls5t_ard_3-0-0_108074_1996-07-23_final
1996-08-01 10:17:02	ga_ls5t_ard_3-0-0_107075_1996-08-01_final
1996-10-04 10:20:29	ga_ls5t_ard_3-0-0_107075_1996-10-04_final
1997-04-14 10:29:02	ga_ls5t_ard_3-0-0_107075_1997-04-14_final
1998-02-19 10:43:45	ga_ls5t_ard_3-0-0_108074_1998-02-19_final
1998-04-18 09:44:45	ga_ls5t_ard_3-0-0_098079_1998-04-18_final
1998-06-02 10:51:27	ga_ls5t_ard_3-0-0_109074_1998-06-02_final
1998-07-22 10:42:27	ga_ls5t_ard_3-0-0_107081_1998-07-22_final
1998-08-04 10:08:25	ga_ls5t_ard_3-0-0_102073_1998-08-04_final
1998-09-06 10:56:00	ga_ls5t_ard_3-0-0_109083_1998-09-06_final
1999-01-28 10:52:46	ga_ls5t_ard_3-0-0_109074_1999-01-28_final
1999-03-01 10:52:56	ga_ls5t_ard_3-0-0_109074_1999-03-01_final
1999-03-26 10:46:22	ga_ls5t_ard_3-0-0_108074_1999-03-26_final
1999-08-02 09:50:50	ga_ls5t_ard_3-0-0_099077_1999-08-02_final
1999-08-17 10:45:07	ga_ls5t_ard_3-0-0_108074_1999-08-17_final
1999-10-29 08:59:37	ga_ls5t_ard_3-0-0_091076_1999-10-28_final
2004-04-10 10:35:06	ga_ls5t_ard_3-0-0_106075_2004-04-10_final
2004-06-18 10:55:14	ga_ls5t_ard_3-0-0_109074_2004-06-18_final
2004-07-14 09:55:48	ga_ls5t_ard_3-0-0_099078_2004-07-14_final
2004-08-16 10:38:36	ga_ls5t_ard_3-0-0_106075_2004-08-16_final
2004-11-04 10:40:29	ga_ls5t_ard_3-0-0_106075_2004-11-04_final
2005-02-06 10:53:57	ga_ls5t_ard_3-0-0_108074_2005-02-06_final
2005-03-01 11:00:30	ga_ls5t_ard_3-0-0_109074_2005-03-01_final
2005-04-14 09:44:41	ga_ls5t_ard_3-1-0_097069_2005-04-14_final
2005-05-18 09:39:42	ga_ls5t_ard_3-0-0_095087_2005-05-18_final
2005-07-09 10:49:50	ga_ls5t_ard_3-0-0_107076_2005-07-09_final
2005-09-04 10:43:42	ga_ls5t_ard_3-0-0_106075_2005-09-04_final
2006-05-25 09:19:31	ga_ls5t_ard_3-0-0_091086_2006-05-24_final
2006-06-11 10:00:15	ga_ls5t_ard_3-0-0_098079_2006-06-11_final
2006-12-24 11:15:27	ga_ls5t_ard_3-0-0_110076_2006-12-24_final
2007-06-29 09:22:14	ga_ls5t_ard_3-0-0_091089_2007-06-28_final
2008-01-23 10:52:44	ga_ls5t_ard_3-0-0_107075_2008-01-23_final
2010-12-08 09:52:09	ga_ls5t_ard_3-0-0_097081_2010-12-08_final
2011-08-21 09:46:21	ga_ls5t_ard_3-0-0_097069_2011-08-21_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