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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

63 results

Time (local)	Label
1987-12-06 09:01:51	ga_ls5t_ard_3-0-0_092086_1987-12-05_final
1987-12-27 10:54:25	ga_ls5t_ard_3-0-0_111073_1987-12-27_final
1988-01-24 09:43:09	ga_ls5t_ard_3-0-0_099079_1988-01-24_final
1988-02-12 10:11:36	ga_ls5t_ard_3-1-0_104072_1988-02-12_final
1988-06-09 09:33:53	ga_ls5t_ard_3-0-0_098068_1988-06-09_final
1988-09-03 10:36:44	ga_ls5t_ard_3-0-0_108070_1988-09-03_final
1988-09-19 09:04:11	ga_ls5t_ard_3-0-0_092086_1988-09-18_final
1989-01-06 10:08:09	ga_ls5t_ard_3-0-0_103077_1989-01-06_final
1989-01-28 09:33:56	ga_ls5t_ard_3-0-0_097085_1989-01-28_final
1989-02-11 11:22:24	ga_ls5t_ard_3-0-0_115078_1989-02-11_final
1989-10-14 09:58:28	ga_ls5t_ard_3-1-0_102081_1989-10-14_final
1990-02-14 09:35:27	ga_ls5t_ard_3-0-0_099079_1990-02-14_final
1990-03-02 11:13:23	ga_ls5t_ard_3-0-0_115078_1990-03-02_final
1990-08-26 10:17:28	ga_ls5t_ard_3-0-0_106080_1990-08-26_final
1991-01-19 10:01:59	ga_ls5t_ard_3-0-0_104071_1991-01-19_final
1991-04-24 09:23:59	ga_ls5t_ard_3-0-0_097080_1991-04-23_final
1991-10-24 09:31:51	ga_ls5t_ard_3-0-0_098079_1991-10-24_final
1991-12-07 09:53:21	ga_ls5t_ard_3-0-0_102070_1991-12-07_final
1992-03-01 10:13:34	ga_ls5t_ard_3-0-0_105075_1992-03-01_final
1993-05-20 09:41:24	ga_ls5t_ard_3-0-0_100076_1993-05-20_final
1994-06-17 09:31:36	ga_ls5t_ard_3-0-0_099076_1994-06-17_final
1994-07-26 09:39:08	ga_ls5t_ard_3-0-0_100082_1994-07-26_final
1994-08-08 09:03:54	ga_ls5t_ard_3-0-0_095072_1994-08-07_final
1994-09-05 09:31:08	ga_ls5t_ard_3-0-0_099080_1994-09-05_final
1994-09-15 08:28:17	ga_ls5t_ard_3-0-0_089078_1994-09-14_final
1994-10-13 10:29:28	ga_ls5t_ard_3-0-0_109074_1994-10-13_final
1995-02-22 08:27:35	ga_ls5t_ard_3-0-0_089090_1995-02-21_final
1995-07-08 09:03:07	ga_ls5t_ard_3-0-0_097070_1995-07-07_final
1996-12-05 10:36:15	ga_ls5t_ard_3-0-0_109076_1996-12-05_final
1997-04-21 08:56:11	ga_ls5t_ard_3-1-0_092074_1997-04-20_final
1997-09-20 09:49:26	ga_ls5t_ard_3-0-0_100071_1997-09-20_final
1997-09-23 08:45:56	ga_ls5t_ard_3-0-0_089082_1997-09-22_final
1998-02-05 10:28:43	ga_ls5t_ard_3-0-0_106068_1998-02-05_final
1998-11-04 08:59:59	ga_ls5t_ard_3-0-0_090086_1998-11-03_final
1999-01-10 11:08:18	ga_ls5t_ard_3-0-0_111082_1999-01-10_final
1999-02-24 08:57:08	ga_ls5t_ard_3-0-0_090078_1999-02-23_final
1999-03-01 09:14:03	ga_ls5t_ard_3-0-0_093074_1999-02-28_final
1999-03-27 09:49:56	ga_ls5t_ard_3-0-0_099072_1999-03-27_final
2003-11-27 10:25:05	ga_ls5t_ard_3-0-0_105068_2003-11-27_final
2003-12-12 09:48:16	ga_ls5t_ard_3-0-0_098084_2003-12-12_final
2004-12-18 09:26:21	ga_ls5t_ard_3-0-0_094073_2004-12-17_final
2004-12-26 10:19:31	ga_ls5t_ard_3-0-0_102082_2004-12-26_final
2005-05-05 10:04:32	ga_ls5t_ard_3-0-0_100072_2005-05-05_final
2005-05-26 10:23:14	ga_ls5t_ard_3-0-0_103072_2005-05-26_final
2005-07-02 10:40:25	ga_ls5t_ard_3-0-0_106068_2005-07-02_final
2006-02-04 09:02:24	ga_ls5t_ard_3-0-0_089079_2006-02-03_final
2006-06-12 10:39:08	ga_ls5t_ard_3-0-0_105068_2006-06-12_final
2006-07-25 10:22:01	ga_ls5t_ard_3-0-0_102070_2006-07-25_final
2006-08-04 11:00:25	ga_ls5t_ard_3-0-0_108073_2006-08-04_final
2007-01-28 10:04:04	ga_ls5t_ard_3-0-0_099067_2007-01-28_final
2007-02-05 09:19:50	ga_ls5t_ard_3-0-0_091080_2007-02-04_final
2007-02-07 09:11:05	ga_ls5t_ard_3-0-0_089089_2007-02-06_final
2008-01-17 09:49:04	ga_ls5t_ard_3-0-0_097070_2008-01-17_final
2008-04-04 09:59:31	ga_ls5t_ard_3-0-0_099069_2008-04-04_final
2008-04-08 09:36:18	ga_ls5t_ard_3-0-0_095073_2008-04-08_final
2009-01-25 09:08:36	ga_ls5t_ard_3-0-0_091076_2009-01-24_final
2009-05-08 09:16:41	ga_ls5t_ard_3-0-0_092075_2009-05-07_final
2009-11-17 10:00:42	ga_ls5t_ard_3-0-0_099070_2009-11-17_final
2010-02-02 09:32:17	ga_ls5t_ard_3-0-0_094075_2010-02-02_final
2010-02-05 10:00:48	ga_ls5t_ard_3-0-0_099069_2010-02-05_final
2011-02-09 10:47:33	ga_ls5t_ard_3-1-0_106080_2011-02-09_final
2011-03-12 09:59:27	ga_ls5t_ard_3-0-0_099068_2011-03-12_final
2011-04-08 11:25:15	ga_ls5t_ard_3-0-0_112082_2011-04-08_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