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

58 results

Time (local)	Label
1987-09-18 09:40:50	ga_ls5t_ard_3-0-0_099079_1987-09-18_final
1987-11-24 10:14:15	ga_ls5t_ard_3-1-0_104082_1987-11-24_final
1987-12-06 09:01:51	ga_ls5t_ard_3-0-0_092086_1987-12-05_final
1987-12-18 09:21:34	ga_ls5t_ard_3-0-0_096073_1987-12-17_final
1988-03-28 09:41:09	ga_ls5t_ard_3-0-0_099072_1988-03-28_final
1988-04-29 09:45:42	ga_ls5t_ard_3-0-0_099083_1988-04-29_final
1988-07-20 11:09:33	ga_ls5t_ard_3-0-0_113075_1988-07-20_final
1988-08-09 09:10:20	ga_ls5t_ard_3-0-0_093086_1988-08-08_final
1989-01-28 11:12:01	ga_ls5t_ard_3-0-0_113083_1989-01-28_final
1989-04-21 09:56:58	ga_ls5t_ard_3-0-0_102068_1989-04-21_final
1989-05-26 10:30:08	ga_ls5t_ard_3-0-0_107075_1989-05-26_final
1989-06-02 09:01:44	ga_ls5t_ard_3-0-0_092086_1989-06-01_final
1989-06-04 10:21:02	ga_ls5t_ard_3-0-0_106068_1989-06-04_final
1989-09-15 10:27:35	ga_ls5t_ard_3-0-0_107075_1989-09-15_final
1990-07-25 08:39:09	ga_ls5t_ard_3-0-0_090081_1990-07-24_final
1991-11-20 09:10:36	ga_ls5t_ard_3-0-0_095072_1991-11-19_final
1992-02-08 10:53:04	ga_ls5t_ard_3-0-0_111081_1992-02-08_final
1992-02-22 09:22:56	ga_ls5t_ard_3-0-0_097072_1992-02-21_final
1992-02-25 09:52:16	ga_ls5t_ard_3-0-0_102068_1992-02-25_final
1992-06-21 10:15:53	ga_ls5t_ard_3-1-0_105083_1992-06-21_final
1992-07-12 08:48:55	ga_ls5t_ard_3-0-0_092067_1992-07-11_final
1992-10-03 11:01:45	ga_ls5t_ard_3-0-0_113078_1992-10-03_final
1992-10-27 08:33:30	ga_ls5t_ard_3-0-0_089079_1992-10-26_final
1993-04-15 10:48:01	ga_ls5t_ard_3-0-0_111073_1993-04-15_final
1994-07-08 09:51:36	ga_ls5t_ard_3-0-0_102081_1994-07-08_final
1994-09-08 08:23:53	ga_ls5t_ard_3-0-0_088082_1994-09-07_final
1994-11-08 09:28:45	ga_ls5t_ard_3-0-0_099079_1994-11-07_final
1994-12-30 10:38:51	ga_ls5t_ard_3-0-0_111073_1994-12-30_final
1995-04-04 08:16:33	ga_ls5t_ard_3-1-0_088082_1995-04-03_final
1995-05-27 10:11:38	ga_ls5t_ard_3-0-0_107082_1995-05-27_final
1995-09-04 09:41:57	ga_ls5t_ard_3-0-0_103081_1995-09-04_final
1996-06-22 09:28:41	ga_ls5t_ard_3-0-0_099083_1996-06-21_final
1996-06-22 11:05:35	ga_ls5t_ard_3-0-0_115078_1996-06-22_final
1996-06-25 08:20:03	ga_ls5t_ard_3-1-0_088081_1996-06-24_final
1997-01-16 09:37:38	ga_ls5t_ard_3-0-0_099079_1997-01-16_final
1998-01-06 10:15:43	ga_ls5t_ard_3-0-0_104068_1998-01-06_final
1998-05-17 10:51:11	ga_ls5t_ard_3-0-0_109074_1998-05-17_final
1998-07-08 10:30:46	ga_ls5t_ard_3-1-0_105083_1998-07-08_final
1999-02-01 10:28:52	ga_ls5t_ard_3-0-0_105076_1999-02-01_final
2003-10-16 09:47:01	ga_ls5t_ard_3-0-0_099067_2003-10-16_final
2003-12-19 09:49:21	ga_ls5t_ard_3-0-0_099071_2003-12-19_final
2004-02-28 09:56:18	ga_ls5t_ard_3-0-0_100072_2004-02-28_final
2004-06-04 09:09:11	ga_ls5t_ard_3-0-0_091088_2004-06-03_final
2004-10-06 09:28:42	ga_ls5t_ard_3-1-0_095067_2004-10-05_final
2005-04-28 10:00:17	ga_ls5t_ard_3-0-0_099077_2005-04-28_final
2005-06-06 10:06:47	ga_ls5t_ard_3-0-0_100077_2005-06-06_final
2005-08-18 10:01:34	ga_ls5t_ard_3-0-0_099078_2005-08-18_final
2006-02-16 11:04:40	ga_ls5t_ard_3-0-0_109075_2006-02-16_final
2006-08-11 09:25:25	ga_ls5t_ard_3-1-0_093067_2006-08-10_final
2006-12-06 11:24:04	ga_ls5t_ard_3-1-0_112067_2006-12-06_final
2007-03-05 11:20:39	ga_ls5t_ard_3-0-0_111073_2007-03-05_final
2008-02-28 10:26:12	ga_ls5t_ard_3-0-0_103072_2008-02-28_final
2008-03-13 10:37:05	ga_ls5t_ard_3-0-0_105069_2008-03-13_final
2008-04-26 11:03:34	ga_ls5t_ard_3-0-0_109076_2008-04-26_final
2009-06-21 11:17:54	ga_ls5t_ard_3-0-0_112067_2009-06-21_final
2011-01-28 10:23:12	ga_ls5t_ard_3-0-0_102081_2011-01-28_final
2011-02-02 10:37:45	ga_ls5t_ard_3-0-0_105071_2011-02-02_final
2011-04-23 10:39:28	ga_ls5t_ard_3-0-0_105076_2011-04-23_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