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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
1987-09-06 10:52:19	ga_ls5t_ard_3-0-0_111073_1987-09-06_final
1987-10-11 09:44:18	ga_ls5t_ard_3-0-0_100071_1987-10-11_final
1988-04-04 09:47:22	ga_ls5t_ard_3-0-0_100072_1988-04-04_final
1988-10-03 09:08:52	ga_ls5t_ard_3-0-0_094067_1988-10-02_final
1988-10-14 10:32:19	ga_ls5t_ard_3-0-0_107075_1988-10-14_final
1989-05-02 09:39:07	ga_ls5t_ard_3-0-0_099070_1989-05-02_final
1989-11-27 10:18:44	ga_ls5t_ard_3-1-0_106073_1989-11-27_final
1990-06-13 09:37:04	ga_ls5t_ard_3-0-0_100071_1990-06-13_final
1990-07-24 11:12:28	ga_ls5t_ard_3-0-0_115078_1990-07-24_final
1990-09-12 09:17:25	ga_ls5t_ard_3-0-0_097069_1990-09-11_final
1990-12-16 08:37:19	ga_ls5t_ard_3-0-0_090078_1990-12-15_final
1991-01-24 10:22:38	ga_ls5t_ard_3-0-0_107076_1991-01-24_final
1991-02-06 09:53:47	ga_ls5t_ard_3-0-0_102081_1991-02-06_final
1991-03-04 08:46:59	ga_ls5t_ard_3-0-0_092067_1991-03-03_final
1991-07-15 09:07:42	ga_ls5t_ard_3-0-0_095067_1991-07-14_final
1991-11-08 10:25:56	ga_ls5t_ard_3-0-0_107075_1991-11-08_final
1991-11-16 09:36:56	ga_ls5t_ard_3-0-0_099076_1991-11-16_final
1992-01-12 09:28:23	ga_ls5t_ard_3-0-0_098070_1992-01-11_final
1993-05-06 09:32:11	ga_ls5t_ard_3-0-0_098084_1993-05-06_final
1993-10-28 10:23:53	ga_ls5t_ard_3-0-0_107075_1993-10-28_final
1994-04-15 10:13:38	ga_ls5t_ard_3-0-0_106070_1994-04-15_final
1994-07-26 09:34:45	ga_ls5t_ard_3-0-0_100071_1994-07-26_final
1995-04-21 10:34:23	ga_ls5t_ard_3-0-0_111073_1995-04-21_final
1995-09-09 10:00:38	ga_ls5t_ard_3-0-0_106082_1995-09-09_final
1996-03-25 09:27:17	ga_ls5t_ard_3-0-0_100077_1996-03-24_final
1996-05-05 09:23:36	ga_ls5t_ard_3-0-0_099077_1996-05-04_final
1996-12-27 09:57:02	ga_ls5t_ard_3-0-0_103068_1996-12-27_final
1997-01-16 09:33:15	ga_ls5t_ard_3-0-0_099068_1997-01-16_final
1998-10-21 08:45:33	ga_ls5t_ard_3-1-0_088081_1998-10-20_final
1999-02-11 09:27:12	ga_ls5t_ard_3-0-0_095076_1999-02-10_final
1999-05-24 10:30:50	ga_ls5t_ard_3-1-0_105083_1999-05-24_final
1999-05-30 09:51:15	ga_ls5t_ard_3-0-0_099077_1999-05-30_final
1999-11-29 09:54:08	ga_ls5t_ard_3-0-0_100076_1999-11-29_final
2003-08-12 09:06:21	ga_ls5t_ard_3-0-0_092076_2003-08-11_final
2003-09-14 09:51:00	ga_ls5t_ard_3-0-0_099078_2003-09-14_final
2003-11-13 10:14:04	ga_ls5t_ard_3-0-0_103072_2003-11-13_final
2004-08-15 11:35:48	ga_ls5t_ard_3-0-0_115079_2004-08-15_final
2005-01-08 09:43:35	ga_ls5t_ard_3-0-0_097069_2005-01-08_final
2005-07-29 10:23:44	ga_ls5t_ard_3-0-0_103072_2005-07-29_final
2005-11-21 09:20:23	ga_ls5t_ard_3-0-0_092082_2005-11-20_final
2006-05-07 11:06:08	ga_ls5t_ard_3-0-0_109075_2006-05-07_final
2006-08-29 09:21:16	ga_ls5t_ard_3-0-0_091087_2006-08-28_final
2006-09-19 09:34:28	ga_ls5t_ard_3-0-0_094073_2006-09-19_final
2007-04-22 09:46:45	ga_ls5t_ard_3-0-0_095086_2007-04-22_final
2007-05-04 10:05:22	ga_ls5t_ard_3-0-0_099071_2007-05-04_final
2007-05-31 09:52:29	ga_ls5t_ard_3-0-0_096086_2007-05-31_final
2007-09-03 10:42:59	ga_ls5t_ard_3-0-0_105076_2007-09-03_final
2008-12-21 10:12:52	ga_ls5t_ard_3-0-0_102069_2008-12-21_final
2008-12-26 08:57:51	ga_ls5t_ard_3-0-0_089082_2008-12-25_final
2009-01-06 10:14:05	ga_ls5t_ard_3-0-0_102071_2009-01-06_final
2009-03-29 10:03:45	ga_ls5t_ard_3-0-0_100071_2009-03-29_final
2009-11-02 10:48:38	ga_ls5t_ard_3-0-0_106082_2009-11-02_final
2010-04-09 09:21:34	ga_ls5t_ard_3-0-0_092079_2010-04-08_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