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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

47 results

Time (local)	Label
1988-03-28 09:43:09	ga_ls5t_ard_3-0-0_099077_1988-03-28_final
1988-11-20 09:16:24	ga_ls5t_ard_3-0-0_094086_1988-11-19_final
1989-04-13 10:47:26	ga_ls5t_ard_3-0-0_110070_1989-04-13_final
1989-07-21 09:40:22	ga_ls5t_ard_3-0-0_099077_1989-07-21_final
1990-06-30 10:21:31	ga_ls5t_ard_3-0-0_107074_1990-06-30_final
1990-08-01 10:21:47	ga_ls5t_ard_3-0-0_107075_1990-08-01_final
1990-11-17 09:11:28	ga_ls5t_ard_3-0-0_095086_1990-11-16_final
1991-03-05 09:34:16	ga_ls5t_ard_3-0-0_099077_1991-03-05_final
1991-03-21 11:12:44	ga_ls5t_ard_3-0-0_115075_1991-03-21_final
1993-06-13 08:51:12	ga_ls5t_ard_3-1-0_092074_1993-06-12_final
1993-09-19 10:15:07	ga_ls5t_ard_3-0-0_106068_1993-09-19_final
1994-05-08 10:21:25	ga_ls5t_ard_3-0-0_107075_1994-05-08_final
1994-09-04 08:45:54	ga_ls5t_ard_3-0-0_092075_1994-09-03_final
1995-03-16 09:24:06	ga_ls5t_ard_3-0-0_099079_1995-03-15_final
1995-04-01 09:20:16	ga_ls5t_ard_3-0-0_099071_1995-03-31_final
1995-04-01 11:00:45	ga_ls5t_ard_3-0-0_115075_1995-04-01_final
1995-09-18 09:50:49	ga_ls5t_ard_3-0-0_105074_1995-09-18_final
1995-11-12 08:16:56	ga_ls5t_ard_3-0-0_090077_1995-11-11_final
1995-12-29 10:54:04	ga_ls5t_ard_3-0-0_115077_1995-12-29_final
1996-12-31 11:14:11	ga_ls5t_ard_3-0-0_115075_1996-12-31_final
1997-02-17 09:38:39	ga_ls5t_ard_3-0-0_099078_1997-02-17_final
1998-08-03 09:25:09	ga_ls5t_ard_3-0-0_095073_1998-08-02_final
1998-11-07 11:04:38	ga_ls5t_ard_3-0-0_111073_1998-11-07_final
1998-11-23 11:04:19	ga_ls5t_ard_3-0-0_111072_1998-11-23_final
1999-11-06 09:49:34	ga_ls5t_ard_3-0-0_099078_1999-11-06_final
1999-11-22 09:48:33	ga_ls5t_ard_3-0-0_099077_1999-11-22_final
2003-07-20 09:04:58	ga_ls5t_ard_3-0-0_091089_2003-07-19_final
2003-08-14 10:32:55	ga_ls5t_ard_3-0-0_106076_2003-08-14_final
2003-09-14 09:53:00	ga_ls5t_ard_3-0-0_099083_2003-09-14_final
2004-02-05 09:52:47	ga_ls5t_ard_3-0-0_099079_2004-02-05_final
2004-07-14 09:53:00	ga_ls5t_ard_3-0-0_099071_2004-07-14_final
2004-10-29 09:40:57	ga_ls5t_ard_3-0-0_096081_2004-10-29_final
2004-12-04 10:53:01	ga_ls5t_ard_3-0-0_108074_2004-12-04_final
2004-12-29 10:47:40	ga_ls5t_ard_3-0-0_107075_2004-12-29_final
2005-01-03 09:31:22	ga_ls5t_ard_3-0-0_094085_2005-01-03_final
2005-02-07 09:59:32	ga_ls5t_ard_3-0-0_099077_2005-02-07_final
2005-05-24 08:59:05	ga_ls5t_ard_3-0-0_089078_2005-05-23_final
2005-11-23 10:44:33	ga_ls5t_ard_3-0-0_106076_2005-11-23_final
2006-06-27 10:00:30	ga_ls5t_ard_3-0-0_098079_2006-06-27_final
2007-04-25 10:14:02	ga_ls5t_ard_3-0-0_100077_2007-04-25_final
2007-05-20 10:08:23	ga_ls5t_ard_3-0-0_099079_2007-05-20_final
2007-06-13 09:21:45	ga_ls5t_ard_3-0-0_091087_2007-06-12_final
2007-07-07 11:45:43	ga_ls5t_ard_3-0-0_115077_2007-07-07_final
2008-09-21 10:34:17	ga_ls5t_ard_3-0-0_105075_2008-09-21_final
2008-12-26 08:56:15	ga_ls5t_ard_3-0-0_089078_2008-12-25_final
2011-01-30 10:09:15	ga_ls5t_ard_3-0-0_100077_2011-01-30_final
2011-02-15 10:09:16	ga_ls5t_ard_3-0-0_100077_2011-02-15_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