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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

41 results

Time (local)	Label
1989-01-26 09:40:17	ga_ls5t_ard_3-0-0_099070_1989-01-26_final
1989-08-31 09:36:07	ga_ls5t_ard_3-0-0_098084_1989-08-31_final
1989-11-18 08:50:57	ga_ls5t_ard_3-0-0_091085_1989-11-17_final
1990-03-18 09:34:23	ga_ls5t_ard_3-0-0_099079_1990-03-18_final
1990-09-04 08:31:09	ga_ls5t_ard_3-1-0_089077_1990-09-03_final
1990-12-03 09:03:35	ga_ls5t_ard_3-0-0_095067_1990-12-02_final
1991-02-01 09:34:29	ga_ls5t_ard_3-0-0_099079_1991-02-01_final
1991-05-30 10:36:47	ga_ls5t_ard_3-0-0_109075_1991-05-30_final
1991-12-28 10:16:55	ga_ls5t_ard_3-1-0_105083_1991-12-28_final
1992-05-15 09:56:57	ga_ls5t_ard_3-0-0_102081_1992-05-15_final
1992-10-03 11:01:45	ga_ls5t_ard_3-0-0_113078_1992-10-03_final
1993-04-08 10:42:33	ga_ls5t_ard_3-0-0_110075_1993-04-08_final
1993-05-25 10:01:57	ga_ls5t_ard_3-0-0_103081_1993-05-25_final
1993-09-24 10:36:01	ga_ls5t_ard_3-0-0_109074_1993-09-24_final
1994-04-23 09:27:40	ga_ls5t_ard_3-0-0_098079_1994-04-22_final
1994-10-16 09:22:59	ga_ls5t_ard_3-0-0_098078_1994-10-15_final
1994-12-14 09:00:30	ga_ls5t_ard_3-0-0_095073_1994-12-13_final
1995-01-04 09:20:44	ga_ls5t_ard_3-0-0_098079_1995-01-03_final
1995-09-24 09:15:02	ga_ls5t_ard_3-0-0_099078_1995-09-23_final
1996-04-13 10:01:46	ga_ls5t_ard_3-1-0_105083_1996-04-13_final
1996-04-18 08:43:19	ga_ls5t_ard_3-0-0_092087_1996-04-17_final
1997-02-02 10:18:52	ga_ls5t_ard_3-0-0_106072_1997-02-02_final
1997-05-24 11:20:41	ga_ls5t_ard_3-0-0_115077_1997-05-24_final
1997-07-02 09:49:42	ga_ls5t_ard_3-0-0_100078_1997-07-02_final
1997-09-17 09:16:51	ga_ls5t_ard_3-0-0_095067_1997-09-16_final
1997-09-19 10:46:13	ga_ls5t_ard_3-0-0_109074_1997-09-19_final
1997-10-30 10:40:47	ga_ls5t_ard_3-0-0_108073_1997-10-30_final
1998-07-17 08:45:24	ga_ls5t_ard_3-0-0_088082_1998-07-16_final
1998-10-18 09:52:44	ga_ls5t_ard_3-0-0_099079_1998-10-18_final
2003-09-06 09:04:12	ga_ls5t_ard_3-0-0_091085_2003-09-05_final
2004-04-29 11:05:45	ga_ls5t_ard_3-0-0_111073_2004-04-29_final
2004-06-11 10:48:52	ga_ls5t_ard_3-0-0_108074_2004-06-11_final
2004-06-29 10:37:27	ga_ls5t_ard_3-0-0_106075_2004-06-29_final
2005-05-06 10:49:24	ga_ls5t_ard_3-0-0_107076_2005-05-06_final
2005-05-15 10:43:16	ga_ls5t_ard_3-0-0_106076_2005-05-15_final
2006-10-14 11:11:27	ga_ls5t_ard_3-0-0_109083_2006-10-14_final
2007-05-12 09:22:38	ga_ls5t_ard_3-0-0_091088_2007-05-11_final
2009-08-05 09:12:03	ga_ls5t_ard_3-1-0_091075_2009-08-04_final
2010-03-25 10:04:04	ga_ls5t_ard_3-0-0_099077_2010-03-25_final
2010-05-03 10:07:43	ga_ls5t_ard_3-0-0_100071_2010-05-03_final
2010-05-05 09:54:09	ga_ls5t_ard_3-0-0_098068_2010-05-05_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