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

63 results

Time (local)	Label
1988-06-24 08:59:05	ga_ls5t_ard_3-0-0_091089_1988-06-23_final
1988-08-03 09:44:39	ga_ls5t_ard_3-0-0_099079_1988-08-03_final
1988-09-05 08:53:05	ga_ls5t_ard_3-0-0_090089_1988-09-04_final
1989-04-01 10:21:48	ga_ls5t_ard_3-0-0_106068_1989-04-01_final
1989-04-20 09:16:31	ga_ls5t_ard_3-0-0_095075_1989-04-19_final
1989-08-25 08:32:50	ga_ls5t_ard_3-1-0_088080_1989-08-24_final
1989-10-08 10:33:04	ga_ls5t_ard_3-0-0_108074_1989-10-08_final
1990-03-17 10:28:03	ga_ls5t_ard_3-0-0_108074_1990-03-17_final
1990-11-12 10:27:03	ga_ls5t_ard_3-0-0_108074_1990-11-12_final
1991-01-15 10:27:47	ga_ls5t_ard_3-0-0_108074_1991-01-15_final
1991-02-14 10:39:54	ga_ls5t_ard_3-0-0_110072_1991-02-14_final
1991-04-06 09:35:37	ga_ls5t_ard_3-0-0_099079_1991-04-06_final
1991-05-23 10:30:07	ga_ls5t_ard_3-0-0_108074_1991-05-23_final
1991-07-01 09:02:47	ga_ls5t_ard_3-0-0_093086_1991-06-30_final
1991-07-10 10:30:45	ga_ls5t_ard_3-0-0_108074_1991-07-10_final
1991-11-26 10:16:54	ga_ls5t_ard_3-1-0_105083_1991-11-26_final
1992-09-16 08:44:23	ga_ls5t_ard_3-0-0_090089_1992-09-15_final
1992-10-02 08:44:01	ga_ls5t_ard_3-0-0_090089_1992-10-01_final
1992-11-11 09:28:25	ga_ls5t_ard_3-0-0_098078_1992-11-10_final
1992-12-19 10:28:52	ga_ls5t_ard_3-0-0_108074_1992-12-19_final
1993-02-22 09:35:53	ga_ls5t_ard_3-0-0_099079_1993-02-22_final
1994-03-13 09:33:45	ga_ls5t_ard_3-0-0_099077_1994-03-13_final
1994-03-28 10:27:57	ga_ls5t_ard_3-0-0_108074_1994-03-28_final
1994-07-14 09:08:46	ga_ls5t_ard_3-0-0_096067_1994-07-13_final
1995-06-28 10:07:22	ga_ls5t_ard_3-0-0_107075_1995-06-28_final
1995-10-26 09:12:53	ga_ls5t_ard_3-0-0_099077_1995-10-25_final
1996-04-26 09:29:39	ga_ls5t_ard_3-0-0_100078_1996-04-25_final
1996-04-27 10:11:46	ga_ls5t_ard_3-0-0_107075_1996-04-27_final
1996-08-01 10:17:02	ga_ls5t_ard_3-0-0_107075_1996-08-01_final
1997-05-14 10:42:02	ga_ls5t_ard_3-0-0_109074_1997-05-14_final
1997-06-22 10:49:34	ga_ls5t_ard_3-0-0_110074_1997-06-22_final
1998-03-21 10:56:35	ga_ls5t_ard_3-0-0_110074_1998-03-21_final
1998-07-06 10:39:54	ga_ls5t_ard_3-0-0_107075_1998-07-06_final
1998-08-07 10:40:09	ga_ls5t_ard_3-0-0_107075_1998-08-07_final
1999-05-06 10:40:24	ga_ls5t_ard_3-0-0_107075_1999-05-06_final
1999-08-26 10:39:09	ga_ls5t_ard_3-0-0_107075_1999-08-26_final
1999-09-13 08:48:06	ga_ls5t_ard_3-1-0_089077_1999-09-12_final
1999-10-15 10:29:13	ga_ls5t_ard_3-1-0_105083_1999-10-15_final
2003-07-27 10:44:58	ga_ls5t_ard_3-0-0_108076_2003-07-27_final
2003-12-13 08:50:15	ga_ls5t_ard_3-0-0_089078_2003-12-12_final
2004-02-10 10:12:09	ga_ls5t_ard_3-0-0_102081_2004-02-10_final
2004-07-25 09:33:08	ga_ls5t_ard_3-0-0_096067_2004-07-25_final
2004-08-26 09:33:53	ga_ls5t_ard_3-1-0_096067_2004-08-26_final
2004-09-11 09:34:19	ga_ls5t_ard_3-0-0_096067_2004-09-11_final
2005-03-21 09:00:19	ga_ls5t_ard_3-0-0_089082_2005-03-20_final
2005-05-14 11:39:17	ga_ls5t_ard_3-0-0_115077_2005-05-14_final
2005-09-20 10:44:07	ga_ls5t_ard_3-0-0_106076_2005-09-20_final
2006-03-06 10:52:41	ga_ls5t_ard_3-0-0_107075_2006-03-06_final
2006-06-11 09:59:27	ga_ls5t_ard_3-0-0_098077_2006-06-11_final
2006-06-27 10:00:06	ga_ls5t_ard_3-0-0_098078_2006-06-27_final
2006-09-18 10:28:29	ga_ls5t_ard_3-0-0_103069_2006-09-18_final
2006-10-03 09:44:36	ga_ls5t_ard_3-0-0_096067_2006-10-03_final
2006-10-19 09:44:46	ga_ls5t_ard_3-1-0_096067_2006-10-19_final
2006-12-03 09:17:51	ga_ls5t_ard_3-0-0_091076_2006-12-02_final
2007-02-21 10:56:44	ga_ls5t_ard_3-0-0_107075_2007-02-21_final
2007-05-20 10:07:59	ga_ls5t_ard_3-0-0_099078_2007-05-20_final
2007-07-18 09:44:13	ga_ls5t_ard_3-1-0_096067_2007-07-18_final
2007-08-19 09:43:55	ga_ls5t_ard_3-0-0_096067_2007-08-19_final
2008-12-11 09:34:41	ga_ls5t_ard_3-0-0_096067_2008-12-11_final
2009-02-26 10:47:54	ga_ls5t_ard_3-0-0_107075_2009-02-26_final
2009-04-23 10:01:15	ga_ls5t_ard_3-0-0_099079_2009-04-23_final
2009-12-14 09:41:12	ga_ls5t_ard_3-0-0_096067_2009-12-14_final
2011-01-11 09:36:44	ga_ls5t_ard_3-0-0_095073_2011-01-11_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