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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

67 results

Time (local)	Label
1987-05-28 08:57:36	ga_ls5t_ard_3-0-0_092086_1987-05-27_final
1987-09-28 08:39:15	ga_ls5t_ard_3-0-0_089079_1987-09-27_final
1987-12-30 09:48:29	ga_ls5t_ard_3-0-0_100078_1987-12-30_final
1988-05-16 08:47:53	ga_ls5t_ard_3-0-0_090077_1988-05-15_final
1988-08-07 10:54:00	ga_ls5t_ard_3-0-0_111067_1988-08-07_final
1988-12-22 10:53:24	ga_ls5t_ard_3-0-0_110082_1988-12-22_final
1989-07-02 10:47:58	ga_ls5t_ard_3-0-0_110075_1989-07-02_final
1989-07-19 09:55:10	ga_ls5t_ard_3-0-0_101083_1989-07-19_final
1990-08-03 10:06:36	ga_ls5t_ard_3-0-0_105068_1990-08-03_final
1991-01-31 08:54:49	ga_ls5t_ard_3-0-0_092088_1991-01-30_final
1991-04-20 09:47:50	ga_ls5t_ard_3-0-0_101078_1991-04-20_final
1991-05-15 09:39:19	ga_ls5t_ard_3-1-0_100071_1991-05-15_final
1991-07-03 08:52:03	ga_ls5t_ard_3-0-0_091090_1991-07-02_final
1991-11-04 10:49:50	ga_ls5t_ard_3-0-0_111073_1991-11-04_final
1991-11-16 09:34:08	ga_ls5t_ard_3-0-0_099069_1991-11-16_final
1992-02-25 09:55:51	ga_ls5t_ard_3-0-0_102077_1992-02-25_final
1992-05-02 10:25:10	ga_ls5t_ard_3-0-0_107074_1992-05-02_final
1992-05-07 10:46:51	ga_ls5t_ard_3-0-0_110082_1992-05-07_final
1992-05-11 10:16:55	ga_ls5t_ard_3-0-0_106069_1992-05-11_final
1992-06-10 08:57:18	ga_ls5t_ard_3-0-0_092087_1992-06-09_final
1992-07-22 09:27:51	ga_ls5t_ard_3-0-0_098072_1992-07-21_final
1992-08-09 09:20:27	ga_ls5t_ard_3-0-0_096085_1992-08-08_final
1992-10-27 08:33:30	ga_ls5t_ard_3-0-0_089079_1992-10-26_final
1993-03-05 10:58:22	ga_ls5t_ard_3-0-0_112084_1993-03-05_final
1993-04-04 09:26:22	ga_ls5t_ard_3-0-0_098070_1993-04-03_final
1993-11-09 10:48:06	ga_ls5t_ard_3-0-0_111074_1993-11-09_final
1994-02-22 09:01:57	ga_ls5t_ard_3-0-0_094074_1994-02-21_final
1994-03-01 10:46:31	ga_ls5t_ard_3-0-0_111073_1994-03-01_final
1994-06-03 09:19:33	ga_ls5t_ard_3-0-0_097076_1994-06-02_final
1994-06-19 09:22:47	ga_ls5t_ard_3-0-0_097085_1994-06-18_final
1994-08-03 08:46:40	ga_ls5t_ard_3-0-0_092075_1994-08-02_final
1995-03-18 10:52:33	ga_ls5t_ard_3-0-0_113084_1995-03-18_final
1995-06-12 08:32:48	ga_ls5t_ard_3-0-0_091084_1995-06-11_final
1996-05-31 08:25:17	ga_ls5t_ard_3-0-0_089082_1996-05-30_final
1996-06-10 10:38:13	ga_ls5t_ard_3-0-0_111073_1996-06-10_final
1996-10-07 09:16:15	ga_ls5t_ard_3-0-0_096084_1996-10-06_final
1997-01-07 09:40:12	ga_ls5t_ard_3-0-0_100071_1997-01-07_final
1997-01-07 09:42:12	ga_ls5t_ard_3-0-0_100076_1997-01-07_final
1997-03-09 09:12:44	ga_ls5t_ard_3-0-0_095073_1997-03-08_final
1997-09-23 08:44:21	ga_ls5t_ard_3-0-0_089078_1997-09-22_final
1997-10-25 08:46:49	ga_ls5t_ard_3-0-0_089082_1997-10-24_final
1998-05-27 09:48:21	ga_ls5t_ard_3-0-0_099071_1998-05-27_final
1998-12-06 08:56:51	ga_ls5t_ard_3-0-0_090078_1998-12-05_final
1998-12-11 09:18:59	ga_ls5t_ard_3-0-0_093087_1998-12-10_final
1999-01-29 09:58:44	ga_ls5t_ard_3-0-0_100078_1999-01-29_final
1999-04-28 09:48:14	ga_ls5t_ard_3-0-0_099068_1999-04-28_final
1999-07-21 09:24:08	ga_ls5t_ard_3-0-0_095072_1999-07-20_final
1999-07-26 11:23:57	ga_ls5t_ard_3-0-0_114078_1999-07-26_final
1999-09-28 09:41:50	ga_ls5t_ard_3-0-0_098073_1999-09-28_final
2003-07-12 09:47:29	ga_ls5t_ard_3-0-0_099072_2003-07-12_final
2004-01-20 09:49:07	ga_ls5t_ard_3-0-0_099070_2004-01-20_final
2004-03-19 09:36:53	ga_ls5t_ard_3-0-0_096085_2004-03-19_final
2004-06-25 09:27:57	ga_ls5t_ard_3-0-0_094087_2004-06-24_final
2004-07-07 09:47:02	ga_ls5t_ard_3-0-0_098072_2004-07-07_final
2004-12-29 09:12:46	ga_ls5t_ard_3-0-0_091085_2004-12-28_final
2006-06-30 10:32:14	ga_ls5t_ard_3-0-0_103081_2006-06-30_final
2006-11-25 10:07:38	ga_ls5t_ard_3-0-0_099077_2006-11-25_final
2008-02-10 09:03:59	ga_ls5t_ard_3-0-0_089082_2008-02-09_final
2009-02-18 09:56:16	ga_ls5t_ard_3-0-0_099070_2009-02-18_final
2009-03-02 10:22:05	ga_ls5t_ard_3-0-0_103072_2009-03-02_final
2009-05-13 09:39:18	ga_ls5t_ard_3-0-0_095085_2009-05-13_final
2009-09-18 09:41:47	ga_ls5t_ard_3-0-0_095086_2009-09-18_final
2009-11-14 11:09:51	ga_ls5t_ard_3-0-0_110073_2009-11-14_final
2010-02-21 10:00:51	ga_ls5t_ard_3-0-0_099069_2010-02-21_final
2010-05-04 09:18:05	ga_ls5t_ard_3-0-0_091086_2010-05-03_final
2010-05-05 09:55:21	ga_ls5t_ard_3-0-0_098071_2010-05-05_final
2011-10-17 09:45:24	ga_ls5t_ard_3-0-0_096084_2011-10-17_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