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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

67 results

Time (local)	Label
1987-09-29 09:24:56	ga_ls5t_ard_3-0-0_096085_1987-09-28_final
1987-11-24 10:14:15	ga_ls5t_ard_3-1-0_104082_1987-11-24_final
1988-03-27 10:37:58	ga_ls5t_ard_3-0-0_108075_1988-03-27_final
1988-07-18 09:44:13	ga_ls5t_ard_3-0-0_099078_1988-07-18_final
1988-10-18 10:06:48	ga_ls5t_ard_3-0-0_103073_1988-10-18_final
1989-09-20 10:44:52	ga_ls5t_ard_3-0-0_110072_1989-09-20_final
1990-09-09 10:27:23	ga_ls5t_ard_3-0-0_108074_1990-09-09_final
1990-09-10 11:11:03	ga_ls5t_ard_3-0-0_115075_1990-09-10_final
1990-10-27 10:27:03	ga_ls5t_ard_3-0-0_108074_1990-10-27_final
1991-03-21 09:31:51	ga_ls5t_ard_3-0-0_099070_1991-03-21_final
1991-05-18 10:11:51	ga_ls5t_ard_3-0-0_105075_1991-05-18_final
1991-12-19 10:17:31	ga_ls5t_ard_3-0-0_106069_1991-12-19_final
1992-02-04 09:38:12	ga_ls5t_ard_3-0-0_099079_1992-02-04_final
1992-05-02 08:51:05	ga_ls5t_ard_3-0-0_091086_1992-05-01_final
1993-03-02 08:48:32	ga_ls5t_ard_3-0-0_091084_1993-03-01_final
1993-11-15 08:34:03	ga_ls5t_ard_3-0-0_089079_1993-11-14_final
1994-04-20 10:33:43	ga_ls5t_ard_3-0-0_109074_1994-04-20_final
1995-03-23 09:26:48	ga_ls5t_ard_3-0-0_100071_1995-03-22_final
1995-04-10 09:18:31	ga_ls5t_ard_3-0-0_098083_1995-04-09_final
1995-04-13 09:46:05	ga_ls5t_ard_3-0-0_103075_1995-04-13_final
1995-08-01 08:15:48	ga_ls5t_ard_3-0-0_089078_1995-07-31_final
1995-09-24 10:53:30	ga_ls5t_ard_3-0-0_115077_1995-09-24_final
1996-01-01 08:09:24	ga_ls5t_ard_3-0-0_088082_1995-12-31_final
1996-02-02 08:10:51	ga_ls5t_ard_3-1-0_088080_1996-02-01_final
1996-08-07 09:43:04	ga_ls5t_ard_3-0-0_101082_1996-08-07_final
1996-11-19 10:34:41	ga_ls5t_ard_3-0-0_109074_1996-11-19_final
1997-02-12 10:57:11	ga_ls5t_ard_3-0-0_112074_1997-02-12_final
1997-05-01 09:30:49	ga_ls5t_ard_3-1-0_098067_1997-05-01_final
1997-06-12 08:36:03	ga_ls5t_ard_3-0-0_088081_1997-06-11_final
1997-08-11 10:38:54	ga_ls5t_ard_3-0-0_108074_1997-08-11_final
1998-04-29 09:21:34	ga_ls5t_ard_3-0-0_095067_1998-04-28_final
1998-10-20 11:17:16	ga_ls5t_ard_3-0-0_113074_1998-10-20_final
1998-12-31 10:28:06	ga_ls5t_ard_3-0-0_105074_1998-12-31_final
1999-04-24 10:12:58	ga_ls5t_ard_3-0-0_103068_1999-04-24_final
1999-07-17 09:47:39	ga_ls5t_ard_3-0-0_099069_1999-07-17_final
2003-08-12 09:09:08	ga_ls5t_ard_3-0-0_092083_2003-08-11_final
2003-10-26 10:27:26	ga_ls5t_ard_3-0-0_105075_2003-10-26_final
2004-02-13 09:01:47	ga_ls5t_ard_3-1-0_091075_2004-02-12_final
2004-03-09 08:56:33	ga_ls5t_ard_3-0-0_090077_2004-03-08_final
2004-05-21 10:30:30	ga_ls5t_ard_3-0-0_105076_2004-05-21_final
2004-07-06 09:10:56	ga_ls5t_ard_3-0-0_091090_2004-07-05_final
2004-07-11 09:20:26	ga_ls5t_ard_3-0-0_094067_2004-07-10_final
2005-01-23 10:42:12	ga_ls5t_ard_3-0-0_106076_2005-01-23_final
2005-03-31 11:12:45	ga_ls5t_ard_3-0-0_111073_2005-03-31_final
2005-05-02 11:12:53	ga_ls5t_ard_3-0-0_111073_2005-05-02_final
2005-07-09 09:16:08	ga_ls5t_ard_3-0-0_091089_2005-07-08_final
2005-08-12 10:37:24	ga_ls5t_ard_3-0-0_105075_2005-08-12_final
2005-10-21 11:40:27	ga_ls5t_ard_3-0-0_115078_2005-10-21_final
2006-01-21 10:29:23	ga_ls5t_ard_3-0-0_103081_2006-01-21_final
2006-04-15 10:04:48	ga_ls5t_ard_3-0-0_099077_2006-04-15_final
2006-07-30 10:43:01	ga_ls5t_ard_3-0-0_105076_2006-07-30_final
2006-10-02 10:43:24	ga_ls5t_ard_3-0-0_105075_2006-10-02_final
2006-10-08 11:46:04	ga_ls5t_ard_3-0-0_115077_2006-10-08_final
2006-11-29 09:38:57	ga_ls5t_ard_3-0-0_095067_2006-11-29_final
2007-02-05 10:59:07	ga_ls5t_ard_3-0-0_107081_2007-02-05_final
2007-02-21 10:56:44	ga_ls5t_ard_3-0-0_107075_2007-02-21_final
2007-08-15 10:13:05	ga_ls5t_ard_3-0-0_100078_2007-08-15_final
2008-04-14 10:39:10	ga_ls5t_ard_3-0-0_105076_2008-04-14_final
2008-12-16 09:54:11	ga_ls5t_ard_3-0-0_099069_2008-12-16_final
2009-01-03 09:43:06	ga_ls5t_ard_3-0-0_097071_2009-01-03_final
2009-05-25 09:58:39	ga_ls5t_ard_3-0-0_099071_2009-05-25_final
2009-09-08 10:39:28	ga_ls5t_ard_3-0-0_105076_2009-09-08_final
2010-01-20 10:04:44	ga_ls5t_ard_3-0-0_099079_2010-01-20_final
2010-02-17 10:25:10	ga_ls5t_ard_3-0-0_103068_2010-02-17_final
2010-12-14 10:51:36	ga_ls5t_ard_3-0-0_107075_2010-12-14_final
2011-03-11 09:24:10	ga_ls5t_ard_3-0-0_092088_2011-03-10_final
2011-03-21 09:57:11	ga_ls5t_ard_3-0-0_098078_2011-03-21_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