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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

53 results

Time (local)	Label
1987-11-30 09:36:04	ga_ls5t_ard_3-0-0_098079_1987-11-30_final
1988-01-02 10:18:15	ga_ls5t_ard_3-0-0_105075_1988-01-02_final
1988-06-16 09:44:06	ga_ls5t_ard_3-0-0_099078_1988-06-16_final
1988-06-27 11:03:42	ga_ls5t_ard_3-0-0_112076_1988-06-27_final
1988-10-22 09:40:28	ga_ls5t_ard_3-0-0_099069_1988-10-22_final
1988-10-30 10:31:57	ga_ls5t_ard_3-0-0_107074_1988-10-30_final
1988-11-15 10:30:45	ga_ls5t_ard_3-0-0_107071_1988-11-15_final
1988-12-03 08:42:39	ga_ls5t_ard_3-0-0_089079_1988-12-02_final
1989-07-05 09:41:06	ga_ls5t_ard_3-0-0_099078_1989-07-05_final
1989-07-18 09:05:33	ga_ls5t_ard_3-0-0_094067_1989-07-17_final
1990-02-14 11:12:44	ga_ls5t_ard_3-0-0_115075_1990-02-14_final
1990-07-16 08:48:58	ga_ls5t_ard_3-0-0_091090_1990-07-15_final
1990-11-02 09:52:39	ga_ls5t_ard_3-0-0_102081_1990-11-02_final
1991-06-25 09:36:34	ga_ls5t_ard_3-0-0_099078_1991-06-25_final
1991-09-13 09:37:46	ga_ls5t_ard_3-0-0_099079_1991-09-13_final
1991-10-08 09:28:35	ga_ls5t_ard_3-0-0_098071_1991-10-07_final
1992-10-18 10:14:40	ga_ls5t_ard_3-0-0_106069_1992-10-18_final
1993-05-11 09:45:33	ga_ls5t_ard_3-0-0_101071_1993-05-11_final
1994-07-18 10:29:12	ga_ls5t_ard_3-0-0_108083_1994-07-18_final
1994-09-06 10:09:35	ga_ls5t_ard_3-0-0_106068_1994-09-06_final
1994-11-10 09:16:43	ga_ls5t_ard_3-0-0_097080_1994-11-09_final
1995-06-04 09:20:37	ga_ls5t_ard_3-0-0_099079_1995-06-03_final
1996-06-03 10:31:39	ga_ls5t_ard_3-0-0_110073_1996-06-03_final
1996-06-22 11:05:35	ga_ls5t_ard_3-0-0_115078_1996-06-22_final
1996-08-24 08:48:20	ga_ls5t_ard_3-0-0_092082_1996-08-23_final
1996-10-06 10:08:38	ga_ls5t_ard_3-0-0_105076_1996-10-06_final
1996-12-19 09:08:48	ga_ls5t_ard_3-0-0_095072_1996-12-18_final
1996-12-20 09:55:41	ga_ls5t_ard_3-0-0_102081_1996-12-20_final
1997-02-10 09:28:58	ga_ls5t_ard_3-0-0_098070_1997-02-09_final
1997-03-25 09:13:21	ga_ls5t_ard_3-0-0_095073_1997-03-24_final
1997-06-12 08:36:03	ga_ls5t_ard_3-0-0_088081_1997-06-11_final
1998-02-08 11:01:41	ga_ls5t_ard_3-0-0_111073_1998-02-08_final
1998-02-14 08:48:13	ga_ls5t_ard_3-0-0_089079_1998-02-13_final
1998-04-09 09:46:26	ga_ls5t_ard_3-0-0_099068_1998-04-09_final
1998-08-19 09:24:54	ga_ls5t_ard_3-0-0_095072_1998-08-18_final
1998-10-02 09:49:33	ga_ls5t_ard_3-0-0_099071_1998-10-02_final
1998-10-18 11:31:13	ga_ls5t_ard_3-0-0_115078_1998-10-18_final
2003-07-29 10:29:27	ga_ls5t_ard_3-0-0_106068_2003-07-29_final
2003-09-06 09:04:12	ga_ls5t_ard_3-0-0_091085_2003-09-05_final
2003-09-30 11:30:05	ga_ls5t_ard_3-0-0_115078_2003-09-30_final
2004-01-08 11:04:27	ga_ls5t_ard_3-0-0_111073_2004-01-08_final
2004-02-26 10:09:03	ga_ls5t_ard_3-0-0_102073_2004-02-26_final
2004-11-17 10:10:34	ga_ls5t_ard_3-0-0_101077_2004-11-17_final
2005-02-16 09:50:43	ga_ls5t_ard_3-0-0_098070_2005-02-16_final
2005-02-25 09:44:41	ga_ls5t_ard_3-0-0_097070_2005-02-25_final
2005-05-14 11:39:17	ga_ls5t_ard_3-0-0_115077_2005-05-14_final
2005-09-13 10:36:20	ga_ls5t_ard_3-0-0_105072_2005-09-13_final
2006-04-08 09:58:54	ga_ls5t_ard_3-0-0_098078_2006-04-08_final
2006-11-01 09:17:35	ga_ls5t_ard_3-0-0_091076_2006-10-31_final
2009-02-14 10:21:41	ga_ls5t_ard_3-0-0_103072_2009-02-14_final
2010-06-02 10:18:46	ga_ls5t_ard_3-0-0_102068_2010-06-02_final
2011-03-13 09:11:48	ga_ls5t_ard_3-0-0_090088_2011-03-12_final
2011-04-13 10:02:53	ga_ls5t_ard_3-0-0_099077_2011-04-13_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