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

68 results

Time (local)	Label
1987-12-04 09:14:11	ga_ls5t_ard_3-0-0_094086_1987-12-03_final
1987-12-24 08:46:10	ga_ls5t_ard_3-0-0_090077_1987-12-23_final
1988-02-22 10:48:49	ga_ls5t_ard_3-0-0_110072_1988-02-22_final
1988-04-21 10:32:18	ga_ls5t_ard_3-0-0_107076_1988-04-21_final
1988-04-23 10:19:10	ga_ls5t_ard_3-0-0_105074_1988-04-23_final
1988-08-06 08:37:27	ga_ls5t_ard_3-1-0_088081_1988-08-05_final
1988-11-15 08:57:51	ga_ls5t_ard_3-0-0_091086_1988-11-14_final
1989-01-26 09:40:41	ga_ls5t_ard_3-0-0_099071_1989-01-26_final
1989-11-04 08:36:24	ga_ls5t_ard_3-0-0_089078_1989-11-03_final
1989-12-20 10:25:05	ga_ls5t_ard_3-0-0_107075_1989-12-20_final
1990-02-15 08:39:00	ga_ls5t_ard_3-0-0_090077_1990-02-14_final
1990-05-29 10:21:56	ga_ls5t_ard_3-0-0_107075_1990-05-29_final
1990-10-06 08:35:40	ga_ls5t_ard_3-1-0_089089_1990-10-05_final
1991-05-16 10:24:10	ga_ls5t_ard_3-0-0_107075_1991-05-16_final
1991-08-20 10:25:20	ga_ls5t_ard_3-0-0_107075_1991-08-20_final
1991-10-09 10:16:39	ga_ls5t_ard_3-1-0_105083_1991-10-09_final
1991-10-21 09:03:47	ga_ls5t_ard_3-0-0_093086_1991-10-20_final
1992-01-23 09:08:40	ga_ls5t_ard_3-0-0_095067_1992-01-22_final
1992-03-11 09:08:35	ga_ls5t_ard_3-0-0_095067_1992-03-10_final
1992-05-18 08:47:20	ga_ls5t_ard_3-0-0_091077_1992-05-17_final
1992-06-01 10:37:16	ga_ls5t_ard_3-0-0_109074_1992-06-01_final
1993-01-05 09:35:26	ga_ls5t_ard_3-0-0_099079_1993-01-05_final
1993-06-06 08:45:26	ga_ls5t_ard_3-1-0_091075_1993-06-05_final
1994-02-01 10:22:58	ga_ls5t_ard_3-0-0_107075_1994-02-01_final
1994-08-04 11:09:11	ga_ls5t_ard_3-0-0_115076_1994-08-04_final
1994-09-29 08:41:51	ga_ls5t_ard_3-0-0_091082_1994-09-28_final
1994-10-28 09:48:28	ga_ls5t_ard_3-0-0_102081_1994-10-28_final
1994-11-18 08:27:48	ga_ls5t_ard_3-0-0_089082_1994-11-17_final
1995-01-19 10:14:12	ga_ls5t_ard_3-0-0_107075_1995-01-19_final
1995-02-13 10:04:13	ga_ls5t_ard_3-0-0_106068_1995-02-13_final
1996-03-06 10:30:03	ga_ls5t_ard_3-0-0_111067_1996-03-06_final
1997-02-09 10:24:57	ga_ls5t_ard_3-1-0_107071_1997-02-09_final
1997-02-09 10:26:09	ga_ls5t_ard_3-0-0_107074_1997-02-09_final
1997-03-10 09:59:14	ga_ls5t_ard_3-0-0_102081_1997-03-10_final
1997-06-16 09:49:09	ga_ls5t_ard_3-0-0_100078_1997-06-16_final
1998-02-20 09:46:33	ga_ls5t_ard_3-0-0_099070_1998-02-20_final
1998-05-10 09:11:36	ga_ls5t_ard_3-0-0_092088_1998-05-09_final
1999-03-27 11:30:24	ga_ls5t_ard_3-0-0_115076_1999-03-27_final
1999-04-03 09:58:24	ga_ls5t_ard_3-0-0_100078_1999-04-03_final
1999-04-17 10:06:48	ga_ls5t_ard_3-0-0_102068_1999-04-17_final
1999-10-30 09:41:38	ga_ls5t_ard_3-0-0_098073_1999-10-30_final
2003-08-25 10:12:59	ga_ls5t_ard_3-0-0_103072_2003-08-25_final
2004-03-09 08:56:33	ga_ls5t_ard_3-0-0_090077_2004-03-08_final
2004-03-09 10:34:38	ga_ls5t_ard_3-0-0_106075_2004-03-09_final
2004-03-17 09:43:15	ga_ls5t_ard_3-0-0_098070_2004-03-17_final
2004-03-21 10:59:01	ga_ls5t_ard_3-1-0_110074_2004-03-21_final
2004-10-02 09:57:44	ga_ls5t_ard_3-0-0_099078_2004-10-02_final
2004-10-11 09:54:08	ga_ls5t_ard_3-0-0_098084_2004-10-11_final
2004-11-03 09:55:37	ga_ls5t_ard_3-0-0_099071_2004-11-03_final
2004-11-21 09:44:18	ga_ls5t_ard_3-0-0_097073_2004-11-21_final
2005-05-07 09:54:35	ga_ls5t_ard_3-0-0_098078_2005-05-07_final
2005-06-12 11:11:26	ga_ls5t_ard_3-0-0_110084_2005-06-12_final
2005-06-30 10:55:09	ga_ls5t_ard_3-0-0_108074_2005-06-30_final
2005-07-31 10:13:23	ga_ls5t_ard_3-0-0_101077_2005-07-31_final
2005-08-06 09:32:22	ga_ls5t_ard_3-0-0_095067_2005-08-06_final
2005-10-16 09:46:13	ga_ls5t_ard_3-0-0_096086_2005-10-16_final
2006-08-25 09:40:45	ga_ls5t_ard_3-0-0_095074_2006-08-25_final
2006-08-26 10:26:49	ga_ls5t_ard_3-0-0_102081_2006-08-26_final
2006-10-02 10:43:24	ga_ls5t_ard_3-0-0_105075_2006-10-02_final
2006-10-30 09:29:31	ga_ls5t_ard_3-0-0_093075_2006-10-29_final
2007-07-27 09:37:58	ga_ls5t_ard_3-0-0_095067_2007-07-27_final
2007-09-19 10:42:52	ga_ls5t_ard_3-0-0_105076_2007-09-19_final
2007-10-01 11:07:04	ga_ls5t_ard_3-0-0_109075_2007-10-01_final
2008-03-10 10:07:02	ga_ls5t_ard_3-0-0_100071_2008-03-10_final
2008-03-29 10:39:32	ga_ls5t_ard_3-0-0_105076_2008-03-29_final
2009-03-27 10:14:52	ga_ls5t_ard_3-1-0_102068_2009-03-27_final
2010-01-12 10:50:57	ga_ls5t_ard_3-0-0_107071_2010-01-12_final
2010-02-14 09:58:15	ga_ls5t_ard_3-0-0_098078_2010-02-14_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