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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
1987-05-28 08:57:36	ga_ls5t_ard_3-0-0_092086_1987-05-27_final
1987-07-16 09:38:18	ga_ls5t_ard_3-0-0_099077_1987-07-16_final
1988-01-12 10:54:41	ga_ls5t_ard_3-0-0_111073_1988-01-12_final
1988-01-28 10:54:59	ga_ls5t_ard_3-0-0_111073_1988-01-28_final
1988-07-22 09:22:18	ga_ls5t_ard_3-0-0_095085_1988-07-21_final
1989-02-12 10:23:36	ga_ls5t_ard_3-0-0_106070_1989-02-12_final
1989-06-02 09:01:44	ga_ls5t_ard_3-0-0_092086_1989-06-01_final
1989-07-18 09:13:08	ga_ls5t_ard_3-0-0_094086_1989-07-17_final
1989-07-22 10:20:49	ga_ls5t_ard_3-0-0_106070_1989-07-22_final
1989-12-09 10:44:20	ga_ls5t_ard_3-0-0_110076_1989-12-09_final
1990-12-24 09:27:45	ga_ls5t_ard_3-0-0_098080_1990-12-23_final
1991-09-13 09:37:23	ga_ls5t_ard_3-0-0_099078_1991-09-13_final
1992-03-16 11:10:25	ga_ls5t_ard_3-0-0_114078_1992-03-16_final
1992-05-03 09:31:32	ga_ls5t_ard_3-0-0_098079_1992-05-03_final
1992-06-18 09:43:24	ga_ls5t_ard_3-0-0_100079_1992-06-18_final
1993-02-26 09:10:23	ga_ls5t_ard_3-0-0_095077_1993-02-25_final
1993-05-22 09:25:27	ga_ls5t_ard_3-1-0_098067_1993-05-21_final
1993-07-31 08:54:38	ga_ls5t_ard_3-0-0_092083_1993-07-30_final
1993-10-13 09:29:09	ga_ls5t_ard_3-0-0_098077_1993-10-12_final
1994-01-31 09:40:55	ga_ls5t_ard_3-0-0_100078_1994-01-31_final
1994-04-03 09:51:34	ga_ls5t_ard_3-0-0_102076_1994-04-03_final
1994-08-04 09:31:30	ga_ls5t_ard_3-0-0_099079_1994-08-04_final
1994-08-29 09:24:44	ga_ls5t_ard_3-0-0_098079_1994-08-28_final
1994-09-21 11:08:24	ga_ls5t_ard_3-0-0_115077_1994-09-21_final
1995-07-30 08:32:39	ga_ls5t_ard_3-0-0_091089_1995-07-29_final
1995-08-07 09:17:44	ga_ls5t_ard_3-0-0_099079_1995-08-06_final
1996-11-06 09:28:06	ga_ls5t_ard_3-0-0_098079_1996-11-05_final
1996-11-21 10:23:12	ga_ls5t_ard_3-0-0_107076_1996-11-21_final
1997-02-18 10:18:21	ga_ls5t_ard_3-0-0_106069_1997-02-18_final
1997-06-06 09:14:56	ga_ls5t_ard_3-0-0_094086_1997-06-05_final
1997-12-09 09:53:31	ga_ls5t_ard_3-0-0_100076_1997-12-09_final
1998-02-10 10:49:45	ga_ls5t_ard_3-0-0_109074_1998-02-10_final
1998-07-14 09:51:21	ga_ls5t_ard_3-0-0_099077_1998-07-14_final
1998-11-09 10:53:06	ga_ls5t_ard_3-0-0_109075_1998-11-09_final
1999-02-14 09:56:08	ga_ls5t_ard_3-1-0_100071_1999-02-14_final
1999-05-30 09:51:15	ga_ls5t_ard_3-0-0_099077_1999-05-30_final
1999-06-06 11:36:36	ga_ls5t_ard_3-1-0_116078_1999-06-06_final
1999-06-15 09:51:05	ga_ls5t_ard_3-0-0_099077_1999-06-15_final
1999-07-01 09:51:18	ga_ls5t_ard_3-0-0_099078_1999-07-01_final
1999-07-23 10:51:28	ga_ls5t_ard_3-0-0_109074_1999-07-23_final
1999-08-08 10:51:24	ga_ls5t_ard_3-0-0_109074_1999-08-08_final
2003-08-05 10:38:57	ga_ls5t_ard_3-0-0_107076_2003-08-05_final
2003-09-04 10:51:01	ga_ls5t_ard_3-0-0_109074_2003-09-04_final
2003-10-08 10:39:58	ga_ls5t_ard_3-0-0_107076_2003-10-08_final
2003-10-16 11:29:54	ga_ls5t_ard_3-0-0_115077_2003-10-16_final
2004-01-05 10:34:20	ga_ls5t_ard_3-0-0_106075_2004-01-05_final
2004-03-12 11:04:46	ga_ls5t_ard_3-0-0_111073_2004-03-12_final
2004-05-02 09:59:51	ga_ls5t_ard_3-0-0_100078_2004-05-02_final
2004-05-03 10:42:20	ga_ls5t_ard_3-0-0_107076_2004-05-03_final
2004-10-08 10:58:04	ga_ls5t_ard_3-0-0_109074_2004-10-08_final
2004-10-19 10:40:10	ga_ls5t_ard_3-0-0_106075_2004-10-19_final
2004-11-11 10:49:10	ga_ls5t_ard_3-0-0_107081_2004-11-11_final
2005-01-30 10:50:27	ga_ls5t_ard_3-0-0_107081_2005-01-30_final
2005-06-28 09:33:25	ga_ls5t_ard_3-0-0_094086_2005-06-28_final
2005-07-09 10:51:49	ga_ls5t_ard_3-0-0_107081_2005-07-09_final
2005-10-29 10:52:10	ga_ls5t_ard_3-0-0_107081_2005-10-29_final
2005-11-14 10:52:31	ga_ls5t_ard_3-0-0_107081_2005-11-14_final
2006-09-14 10:55:33	ga_ls5t_ard_3-0-0_107075_2006-09-14_final
2006-10-16 10:55:55	ga_ls5t_ard_3-0-0_107075_2006-10-16_final
2008-08-18 10:47:37	ga_ls5t_ard_3-0-0_107075_2008-08-18_final
2008-11-22 10:45:16	ga_ls5t_ard_3-0-0_107075_2008-11-22_final
2009-05-01 10:49:14	ga_ls5t_ard_3-0-0_107075_2009-05-01_final
2010-11-28 10:51:34	ga_ls5t_ard_3-0-0_107075_2010-11-28_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