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

65 results

Time (local)	Label
1987-07-18 09:23:59	ga_ls5t_ard_3-0-0_097072_1987-07-17_final
1988-12-27 09:27:53	ga_ls5t_ard_3-0-0_097069_1988-12-26_final
1989-01-06 10:08:09	ga_ls5t_ard_3-0-0_103077_1989-01-06_final
1989-01-19 09:35:22	ga_ls5t_ard_3-0-0_098073_1989-01-19_final
1989-02-11 09:42:43	ga_ls5t_ard_3-0-0_099076_1989-02-11_final
1989-06-23 10:54:38	ga_ls5t_ard_3-0-0_111076_1989-06-23_final
1989-10-15 09:05:36	ga_ls5t_ard_3-0-0_093088_1989-10-14_final
1989-12-04 10:25:09	ga_ls5t_ard_3-0-0_107074_1989-12-04_final
1990-03-10 08:48:23	ga_ls5t_ard_3-0-0_091087_1990-03-09_final
1990-06-30 10:20:43	ga_ls5t_ard_3-0-0_107072_1990-06-30_final
1990-12-08 11:04:42	ga_ls5t_ard_3-0-0_114076_1990-12-08_final
1991-04-19 10:45:26	ga_ls5t_ard_3-0-0_110083_1991-04-19_final
1991-05-31 09:42:22	ga_ls5t_ard_3-0-0_100078_1991-05-31_final
1991-07-14 08:29:59	ga_ls5t_ard_3-1-0_088081_1991-07-13_final
1991-11-26 10:13:42	ga_ls5t_ard_3-0-0_105075_1991-11-26_final
1993-01-17 09:56:18	ga_ls5t_ard_3-0-0_103069_1993-01-17_final
1993-03-09 08:55:36	ga_ls5t_ard_3-0-0_092086_1993-03-08_final
1993-10-26 10:36:15	ga_ls5t_ard_3-0-0_109075_1993-10-26_final
1993-11-07 09:20:48	ga_ls5t_ard_3-0-0_097072_1993-11-06_final
1993-12-15 08:50:16	ga_ls5t_ard_3-0-0_091089_1993-12-14_final
1994-07-24 09:48:45	ga_ls5t_ard_3-0-0_102075_1994-07-24_final
1994-11-10 09:15:55	ga_ls5t_ard_3-0-0_097078_1994-11-09_final
1995-03-16 11:02:36	ga_ls5t_ard_3-0-0_115078_1995-03-16_final
1995-06-21 08:27:01	ga_ls5t_ard_3-0-0_090086_1995-06-20_final
1996-03-15 10:30:50	ga_ls5t_ard_3-0-0_110083_1996-03-15_final
1996-03-22 10:37:04	ga_ls5t_ard_3-0-0_111082_1996-03-22_final
1996-04-29 09:59:08	ga_ls5t_ard_3-0-0_105074_1996-04-29_final
1996-06-03 10:32:03	ga_ls5t_ard_3-0-0_110074_1996-06-03_final
1996-11-13 09:34:36	ga_ls5t_ard_3-0-0_099079_1996-11-13_final
1996-12-02 10:05:13	ga_ls5t_ard_3-0-0_104076_1996-12-02_final
1998-03-12 11:02:14	ga_ls5t_ard_3-0-0_111073_1998-03-12_final
1999-01-22 09:49:45	ga_ls5t_ard_3-0-0_099071_1999-01-22_final
1999-04-16 11:06:01	ga_ls5t_ard_3-0-0_111077_1999-04-16_final
1999-09-07 11:02:39	ga_ls5t_ard_3-0-0_111073_1999-09-07_final
1999-12-21 10:55:24	ga_ls5t_ard_3-0-0_110075_1999-12-21_final
2003-09-30 09:48:24	ga_ls5t_ard_3-0-0_099071_2003-09-30_final
2003-11-06 10:11:42	ga_ls5t_ard_3-0-0_102082_2003-11-06_final
2004-04-09 09:49:49	ga_ls5t_ard_3-0-0_099070_2004-04-09_final
2004-04-20 11:12:06	ga_ls5t_ard_3-1-0_112074_2004-04-20_final
2004-08-08 09:50:32	ga_ls5t_ard_3-0-0_098079_2004-08-08_final
2004-11-03 09:58:00	ga_ls5t_ard_3-0-0_099077_2004-11-03_final
2005-03-08 09:32:41	ga_ls5t_ard_3-0-0_094086_2005-03-08_final
2005-08-01 10:55:52	ga_ls5t_ard_3-0-0_108075_2005-08-01_final
2005-10-22 10:40:50	ga_ls5t_ard_3-0-0_106068_2005-10-22_final
2005-11-05 10:55:16	ga_ls5t_ard_3-0-0_108073_2005-11-05_final
2005-11-21 10:58:52	ga_ls5t_ard_3-0-0_108081_2005-11-21_final
2006-03-06 09:19:23	ga_ls5t_ard_3-0-0_091089_2006-03-05_final
2006-07-03 09:27:06	ga_ls5t_ard_3-0-0_092088_2006-07-02_final
2006-08-09 09:40:56	ga_ls5t_ard_3-0-0_095075_2006-08-09_final
2006-12-01 11:08:41	ga_ls5t_ard_3-0-0_109075_2006-12-01_final
2007-01-10 10:18:21	ga_ls5t_ard_3-0-0_101072_2007-01-10_final
2007-04-20 09:52:20	ga_ls5t_ard_3-0-0_097069_2007-04-20_final
2007-07-23 10:07:31	ga_ls5t_ard_3-0-0_099079_2007-07-23_final
2007-09-29 11:18:39	ga_ls5t_ard_3-0-0_111073_2007-09-29_final
2007-10-06 11:22:22	ga_ls5t_ard_3-1-0_112067_2007-10-06_final
2008-01-24 11:35:35	ga_ls5t_ard_3-0-0_114074_2008-01-24_final
2008-08-26 09:58:46	ga_ls5t_ard_3-0-0_099077_2008-08-26_final
2008-09-29 09:42:35	ga_ls5t_ard_3-0-0_097070_2008-09-29_final
2008-12-24 09:11:21	ga_ls5t_ard_3-0-0_091085_2008-12-23_final
2009-08-16 10:30:09	ga_ls5t_ard_3-0-0_104069_2009-08-16_final
2009-11-17 11:43:10	ga_ls5t_ard_3-0-0_115079_2009-11-17_final
2010-03-30 10:21:47	ga_ls5t_ard_3-0-0_102075_2010-03-30_final
2010-04-08 10:15:36	ga_ls5t_ard_3-0-0_101075_2010-04-08_final
2010-11-22 09:51:22	ga_ls5t_ard_3-0-0_097079_2010-11-22_final
2011-01-09 09:49:29	ga_ls5t_ard_3-0-0_097074_2011-01-09_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years