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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

52 results

Time (local)	Label
1987-10-10 10:41:30	ga_ls5t_ard_3-0-0_109075_1987-10-10_final
1988-02-09 09:43:26	ga_ls5t_ard_3-0-0_099079_1988-02-09_final
1988-02-29 10:58:15	ga_ls5t_ard_3-0-0_111080_1988-02-29_final
1988-03-17 09:58:24	ga_ls5t_ard_3-0-0_102069_1988-03-17_final
1988-03-19 09:49:39	ga_ls5t_ard_3-0-0_100078_1988-03-19_final
1988-03-24 10:04:15	ga_ls5t_ard_3-0-0_103068_1988-03-24_final
1988-07-26 08:57:36	ga_ls5t_ard_3-0-0_091085_1988-07-25_final
1988-08-13 10:20:06	ga_ls5t_ard_3-0-0_105075_1988-08-13_final
1989-07-02 10:47:34	ga_ls5t_ard_3-0-0_110074_1989-07-02_final
1989-07-21 09:38:22	ga_ls5t_ard_3-0-0_099072_1989-07-21_final
1990-04-19 09:36:09	ga_ls5t_ard_3-1-0_099084_1990-04-19_final
1990-08-03 10:06:36	ga_ls5t_ard_3-0-0_105068_1990-08-03_final
1991-01-04 10:46:24	ga_ls5t_ard_3-0-0_111075_1991-01-04_final
1991-10-06 09:40:55	ga_ls5t_ard_3-0-0_100071_1991-10-06_final
1993-01-09 09:08:46	ga_ls5t_ard_3-0-0_095074_1993-01-08_final
1993-01-21 11:12:55	ga_ls5t_ard_3-0-0_115075_1993-01-21_final
1993-02-28 10:38:32	ga_ls5t_ard_3-0-0_109081_1993-02-28_final
1993-11-15 08:38:03	ga_ls5t_ard_3-0-0_089089_1993-11-14_final
1994-04-27 09:00:53	ga_ls5t_ard_3-0-0_094074_1994-04-26_final
1994-05-19 08:25:48	ga_ls5t_ard_3-1-0_088080_1994-05-18_final
1994-08-26 10:34:47	ga_ls5t_ard_3-0-0_109084_1994-08-26_final
1995-06-17 10:26:25	ga_ls5t_ard_3-0-0_110075_1995-06-17_final
1995-08-06 08:37:19	ga_ls5t_ard_3-0-0_092086_1995-08-05_final
1995-10-14 08:50:50	ga_ls5t_ard_3-0-0_095082_1995-10-13_final
1996-01-02 10:28:01	ga_ls5t_ard_3-0-0_111073_1996-01-02_final
1996-06-10 10:40:36	ga_ls5t_ard_3-0-0_111079_1996-06-10_final
1996-08-08 10:21:35	ga_ls5t_ard_3-0-0_108070_1996-08-08_final
1997-01-04 10:48:51	ga_ls5t_ard_3-0-0_111073_1997-01-04_final
1997-08-17 10:05:12	ga_ls5t_ard_3-0-0_102082_1997-08-17_final
1997-11-09 09:40:50	ga_ls5t_ard_3-0-0_098077_1997-11-09_final
1998-04-01 09:02:52	ga_ls5t_ard_3-0-0_091083_1998-03-31_final
1998-04-15 10:50:42	ga_ls5t_ard_3-0-0_109074_1998-04-15_final
1998-07-30 09:49:04	ga_ls5t_ard_3-0-0_099071_1998-07-30_final
1998-11-27 09:02:18	ga_ls5t_ard_3-0-0_091076_1998-11-26_final
1999-01-29 09:56:21	ga_ls5t_ard_3-0-0_100072_1999-01-29_final
2003-07-09 10:55:49	ga_ls5t_ard_3-0-0_110073_2003-07-09_final
2003-09-06 09:04:12	ga_ls5t_ard_3-0-0_091085_2003-09-05_final
2003-11-18 10:33:08	ga_ls5t_ard_3-0-0_106073_2003-11-18_final
2004-01-21 10:34:47	ga_ls5t_ard_3-0-0_106076_2004-01-21_final
2004-06-24 10:17:33	ga_ls5t_ard_3-0-0_103072_2004-06-24_final
2004-08-31 09:53:21	ga_ls5t_ard_3-0-0_099069_2004-08-31_final
2005-08-30 10:23:57	ga_ls5t_ard_3-0-0_103072_2005-08-30_final
2005-11-22 10:02:28	ga_ls5t_ard_3-0-0_099079_2005-11-22_final
2007-02-09 10:34:24	ga_ls5t_ard_3-0-0_103081_2007-02-09_final
2007-03-17 10:08:51	ga_ls5t_ard_3-0-0_099079_2007-03-17_final
2007-08-15 10:13:05	ga_ls5t_ard_3-0-0_100078_2007-08-15_final
2007-09-06 11:14:16	ga_ls5t_ard_3-0-0_110077_2007-09-06_final
2008-08-26 09:56:22	ga_ls5t_ard_3-0-0_099071_2008-08-26_final
2010-02-21 10:03:39	ga_ls5t_ard_3-0-0_099076_2010-02-21_final
2010-03-19 09:02:40	ga_ls5t_ard_3-0-0_089078_2010-03-18_final
2010-11-30 09:01:55	ga_ls5t_ard_3-0-0_089079_2010-11-29_final
2011-04-11 10:16:03	ga_ls5t_ard_3-0-0_101079_2011-04-11_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