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

59 results

Time (local)	Label
1987-10-29 11:12:18	ga_ls5t_ard_3-0-0_114074_1987-10-29_final
1987-11-05 09:41:46	ga_ls5t_ard_3-0-0_099079_1987-11-05_final
1987-12-23 09:44:10	ga_ls5t_ard_3-0-0_099083_1987-12-23_final
1988-03-22 10:18:59	ga_ls5t_ard_3-0-0_105074_1988-03-22_final
1988-07-26 08:53:36	ga_ls5t_ard_3-1-0_091075_1988-07-25_final
1988-10-03 09:08:52	ga_ls5t_ard_3-0-0_094067_1988-10-02_final
1988-11-27 09:17:00	ga_ls5t_ard_3-0-0_095072_1988-11-26_final
1988-12-11 11:08:52	ga_ls5t_ard_3-0-0_113074_1988-12-11_final
1989-08-14 10:28:30	ga_ls5t_ard_3-0-0_107075_1989-08-14_final
1989-10-10 10:23:00	ga_ls5t_ard_3-0-0_106080_1989-10-10_final
1990-02-22 08:47:22	ga_ls5t_ard_3-0-0_091083_1990-02-21_final
1990-09-08 09:47:18	ga_ls5t_ard_3-0-0_101082_1990-09-08_final
1991-03-09 09:13:15	ga_ls5t_ard_3-0-0_095086_1991-03-08_final
1991-05-17 09:30:33	ga_ls5t_ard_3-0-0_098080_1991-05-17_final
1991-07-06 10:52:41	ga_ls5t_ard_3-1-0_112067_1991-07-06_final
1991-08-19 09:43:15	ga_ls5t_ard_3-0-0_100078_1991-08-19_final
1991-09-28 08:57:47	ga_ls5t_ard_3-0-0_092087_1991-09-27_final
1991-12-22 10:50:25	ga_ls5t_ard_3-0-0_111074_1991-12-22_final
1992-03-08 10:16:58	ga_ls5t_ard_3-0-0_106068_1992-03-08_final
1992-05-30 09:11:10	ga_ls5t_ard_3-0-0_095075_1992-05-29_final
1993-02-01 09:20:00	ga_ls5t_ard_3-0-0_096086_1993-01-31_final
1993-06-02 10:46:15	ga_ls5t_ard_3-0-0_111068_1993-06-02_final
1993-08-20 10:04:48	ga_ls5t_ard_3-1-0_104073_1993-08-20_final
1993-09-26 10:23:40	ga_ls5t_ard_3-0-0_107074_1993-09-26_final
1994-04-20 09:00:01	ga_ls5t_ard_3-0-0_093087_1994-04-19_final
1995-04-27 08:20:10	ga_ls5t_ard_3-0-0_089078_1995-04-26_final
1996-04-29 09:59:08	ga_ls5t_ard_3-0-0_105074_1996-04-29_final
1996-05-05 09:20:25	ga_ls5t_ard_3-0-0_099069_1996-05-04_final
1996-05-25 10:37:44	ga_ls5t_ard_3-0-0_111074_1996-05-25_final
1996-10-03 09:36:23	ga_ls5t_ard_3-0-0_100073_1996-10-03_final
1997-02-18 10:18:45	ga_ls5t_ard_3-0-0_106070_1997-02-18_final
1997-03-09 10:49:13	ga_ls5t_ard_3-0-0_111067_1997-03-09_final
1998-07-22 09:04:22	ga_ls5t_ard_3-0-0_091083_1998-07-21_final
1999-04-19 09:58:26	ga_ls5t_ard_3-0-0_100078_1999-04-19_final
2003-09-06 09:06:12	ga_ls5t_ard_3-0-0_091090_2003-09-05_final
2004-12-05 09:56:37	ga_ls5t_ard_3-0-0_099072_2004-12-05_final
2004-12-26 10:14:20	ga_ls5t_ard_3-0-0_102069_2004-12-26_final
2005-04-07 11:19:21	ga_ls5t_ard_3-0-0_112074_2005-04-07_final
2005-04-16 09:34:43	ga_ls5t_ard_3-0-0_095075_2005-04-16_final
2005-05-14 11:38:53	ga_ls5t_ard_3-0-0_115076_2005-05-14_final
2005-05-18 09:31:43	ga_ls5t_ard_3-1-0_095067_2005-05-18_final
2005-06-24 09:51:44	ga_ls5t_ard_3-0-0_098070_2005-06-24_final
2005-08-30 10:27:32	ga_ls5t_ard_3-0-0_103081_2005-08-30_final
2006-02-24 10:18:11	ga_ls5t_ard_3-0-0_101082_2006-02-24_final
2006-03-01 10:33:15	ga_ls5t_ard_3-1-0_104073_2006-03-01_final
2006-04-03 11:17:09	ga_ls5t_ard_3-0-0_111073_2006-04-03_final
2006-04-08 10:01:42	ga_ls5t_ard_3-0-0_098085_2006-04-08_final
2006-08-06 09:10:48	ga_ls5t_ard_3-0-0_090077_2006-08-05_final
2006-08-20 11:03:49	ga_ls5t_ard_3-0-0_108081_2006-08-20_final
2006-12-03 09:22:39	ga_ls5t_ard_3-0-0_091088_2006-12-02_final
2007-04-03 09:16:45	ga_ls5t_ard_3-0-0_090088_2007-04-02_final
2007-09-08 09:25:01	ga_ls5t_ard_3-0-0_092082_2007-09-07_final
2008-01-25 10:40:44	ga_ls5t_ard_3-0-0_105076_2008-01-25_final
2008-12-24 09:13:21	ga_ls5t_ard_3-0-0_091090_2008-12-23_final
2009-02-12 08:58:42	ga_ls5t_ard_3-0-0_089081_2009-02-11_final
2009-05-09 11:38:51	ga_ls5t_ard_3-0-0_115075_2009-05-09_final
2009-10-10 10:39:51	ga_ls5t_ard_3-0-0_105076_2009-10-10_final
2009-12-05 11:31:46	ga_ls5t_ard_3-1-0_113081_2009-12-05_final
2010-05-09 11:09:54	ga_ls5t_ard_3-0-0_110072_2010-05-09_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