Search ga_ls5t_ard_3 whole collection

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

62 results

Time (local)	Label
1987-09-10 08:55:12	ga_ls5t_ard_3-0-0_091089_1987-09-09_final
1987-10-06 09:31:15	ga_ls5t_ard_3-0-0_097085_1987-10-06_final
1987-10-08 10:53:01	ga_ls5t_ard_3-0-0_111073_1987-10-08_final
1987-10-19 09:00:35	ga_ls5t_ard_3-0-0_092085_1987-10-18_final
1987-12-19 10:08:26	ga_ls5t_ard_3-0-0_103082_1987-12-19_final
1987-12-25 11:10:44	ga_ls5t_ard_3-1-0_113083_1987-12-25_final
1988-04-14 10:23:41	ga_ls5t_ard_3-0-0_106070_1988-04-14_final
1989-01-09 09:04:07	ga_ls5t_ard_3-0-0_092087_1989-01-08_final
1989-02-02 09:48:57	ga_ls5t_ard_3-0-0_100076_1989-02-02_final
1989-05-20 09:29:35	ga_ls5t_ard_3-0-0_097078_1989-05-19_final
1989-12-28 09:32:37	ga_ls5t_ard_3-0-0_099068_1989-12-28_final
1990-04-01 09:45:32	ga_ls5t_ard_3-0-0_101077_1990-04-01_final
1990-07-10 09:18:06	ga_ls5t_ard_3-0-0_097070_1990-07-09_final
1990-08-22 10:42:14	ga_ls5t_ard_3-0-0_110080_1990-08-22_final
1990-11-23 10:11:59	ga_ls5t_ard_3-1-0_105083_1990-11-23_final
1991-02-17 11:12:04	ga_ls5t_ard_3-0-0_115075_1991-02-17_final
1991-07-11 09:38:43	ga_ls5t_ard_3-0-0_099083_1991-07-11_final
1991-10-19 09:10:34	ga_ls5t_ard_3-0-0_095072_1991-10-18_final
1991-12-03 08:41:56	ga_ls5t_ard_3-0-0_090077_1991-12-02_final
1992-01-02 10:30:37	ga_ls5t_ard_3-0-0_108071_1992-01-02_final
1992-01-03 09:37:46	ga_ls5t_ard_3-0-0_099078_1992-01-03_final
1992-01-07 10:49:33	ga_ls5t_ard_3-0-0_111072_1992-01-07_final
1992-02-19 10:30:30	ga_ls5t_ard_3-0-0_108071_1992-02-19_final
1992-02-29 09:29:07	ga_ls5t_ard_3-0-0_098072_1992-02-28_final
1992-12-28 08:48:41	ga_ls5t_ard_3-0-0_091086_1992-12-27_final
1993-11-22 08:41:00	ga_ls5t_ard_3-0-0_090081_1993-11-21_final
1994-06-24 09:38:25	ga_ls5t_ard_3-0-0_100078_1994-06-24_final
1994-09-24 08:23:03	ga_ls5t_ard_3-1-0_088081_1994-09-23_final
1995-12-16 09:41:56	ga_ls5t_ard_3-0-0_104069_1995-12-16_final
1996-07-21 10:35:00	ga_ls5t_ard_3-0-0_110075_1996-07-21_final
1996-10-03 09:38:22	ga_ls5t_ard_3-0-0_100078_1996-10-03_final
1996-12-31 09:36:53	ga_ls5t_ard_3-0-0_099079_1996-12-31_final
1997-08-28 11:24:17	ga_ls5t_ard_3-0-0_115078_1997-08-28_final
1998-03-28 09:23:10	ga_ls5t_ard_3-0-0_095072_1998-03-27_final
1998-08-23 08:58:39	ga_ls5t_ard_3-1-0_091068_1998-08-22_final
1998-09-20 09:29:12	ga_ls5t_ard_3-0-0_095082_1998-09-19_final
1999-01-10 11:02:43	ga_ls5t_ard_3-1-0_111068_1999-01-10_final
1999-01-14 10:39:09	ga_ls5t_ard_3-0-0_107071_1999-01-14_final
1999-03-11 09:52:59	ga_ls5t_ard_3-0-0_099079_1999-03-11_final
1999-10-15 10:29:13	ga_ls5t_ard_3-1-0_105083_1999-10-15_final
1999-12-05 10:54:14	ga_ls5t_ard_3-0-0_110072_1999-12-05_final
2003-07-24 10:16:00	ga_ls5t_ard_3-0-0_103081_2003-07-24_final
2003-09-15 10:33:05	ga_ls5t_ard_3-0-0_106075_2003-09-15_final
2003-09-24 10:30:13	ga_ls5t_ard_3-1-0_105083_2003-09-24_final
2003-12-04 10:32:30	ga_ls5t_ard_3-0-0_106071_2003-12-04_final
2004-04-02 09:48:35	ga_ls5t_ard_3-0-0_098083_2004-04-02_final
2004-11-05 11:24:58	ga_ls5t_ard_3-0-0_113078_2004-11-05_final
2005-01-12 11:00:35	ga_ls5t_ard_3-0-0_109076_2005-01-12_final
2005-01-21 10:52:09	ga_ls5t_ard_3-0-0_108070_2005-01-21_final
2005-04-24 10:26:35	ga_ls5t_ard_3-0-0_103081_2005-04-24_final
2005-08-14 10:23:52	ga_ls5t_ard_3-0-0_103072_2005-08-14_final
2005-09-01 10:15:59	ga_ls5t_ard_3-0-0_101083_2005-09-01_final
2006-05-01 11:44:20	ga_ls5t_ard_3-0-0_115078_2006-05-01_final
2007-04-03 10:47:39	ga_ls5t_ard_3-0-0_106068_2007-04-03_final
2008-04-04 10:00:19	ga_ls5t_ard_3-0-0_099071_2008-04-04_final
2008-05-26 11:11:31	ga_ls5t_ard_3-0-0_111067_2008-05-26_final
2009-10-10 09:04:33	ga_ls5t_ard_3-0-0_089085_2009-10-09_final
2010-01-12 10:50:57	ga_ls5t_ard_3-0-0_107071_2010-01-12_final
2010-02-21 10:00:51	ga_ls5t_ard_3-0-0_099069_2010-02-21_final
2010-04-11 09:08:24	ga_ls5t_ard_3-0-0_090077_2010-04-10_final
2010-11-22 09:51:22	ga_ls5t_ard_3-0-0_097079_2010-11-22_final
2011-02-05 11:07:04	ga_ls5t_ard_3-0-0_110067_2011-02-05_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