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

66 results

Time (local)	Label
1988-05-15 11:22:23	ga_ls5t_ard_3-0-0_115077_1988-05-15_final
1988-11-27 09:17:00	ga_ls5t_ard_3-0-0_095072_1988-11-26_final
1989-11-04 08:37:59	ga_ls5t_ard_3-0-0_089082_1989-11-03_final
1990-02-14 09:34:39	ga_ls5t_ard_3-0-0_099077_1990-02-14_final
1990-03-02 11:12:12	ga_ls5t_ard_3-0-0_115075_1990-03-02_final
1990-03-29 09:12:42	ga_ls5t_ard_3-0-0_096072_1990-03-28_final
1990-05-20 10:31:24	ga_ls5t_ard_3-0-0_108083_1990-05-20_final
1990-06-05 10:27:43	ga_ls5t_ard_3-0-0_108074_1990-06-05_final
1990-06-06 09:31:18	ga_ls5t_ard_3-0-0_099072_1990-06-06_final
1991-04-14 10:26:28	ga_ls5t_ard_3-0-0_107082_1991-04-14_final
1991-06-17 08:49:44	ga_ls5t_ard_3-0-0_091085_1991-06-16_final
1991-07-11 09:36:19	ga_ls5t_ard_3-0-0_099077_1991-07-11_final
1992-05-09 10:31:17	ga_ls5t_ard_3-0-0_108074_1992-05-09_final
1993-01-04 10:29:03	ga_ls5t_ard_3-0-0_108074_1993-01-04_final
1993-03-02 08:44:56	ga_ls5t_ard_3-1-0_091075_1993-03-01_final
1993-03-04 10:14:41	ga_ls5t_ard_3-1-0_105083_1993-03-04_final
1993-05-20 09:42:11	ga_ls5t_ard_3-0-0_100078_1993-05-20_final
1993-07-21 09:55:39	ga_ls5t_ard_3-0-0_102081_1993-07-21_final
1993-09-09 09:42:03	ga_ls5t_ard_3-0-0_100078_1993-09-09_final
1994-01-14 10:33:56	ga_ls5t_ard_3-0-0_109071_1994-01-14_final
1994-01-26 09:25:13	ga_ls5t_ard_3-0-0_097085_1994-01-25_final
1994-02-02 09:28:57	ga_ls5t_ard_3-0-0_098079_1994-02-01_final
1994-07-21 10:53:38	ga_ls5t_ard_3-0-0_113067_1994-07-21_final
1994-07-23 09:02:20	ga_ls5t_ard_3-1-0_095067_1994-07-22_final
1994-09-20 10:23:58	ga_ls5t_ard_3-0-0_108074_1994-09-20_final
1994-10-14 09:37:00	ga_ls5t_ard_3-0-0_100082_1994-10-14_final
1994-11-01 09:22:49	ga_ls5t_ard_3-0-0_098079_1994-10-31_final
1995-05-27 10:08:50	ga_ls5t_ard_3-0-0_107075_1995-05-27_final
1996-03-30 09:42:33	ga_ls5t_ard_3-0-0_103068_1996-03-30_final
1996-07-07 10:21:30	ga_ls5t_ard_3-0-0_108074_1996-07-07_final
1997-03-05 11:18:11	ga_ls5t_ard_3-0-0_115078_1997-03-05_final
1997-04-29 09:46:18	ga_ls5t_ard_3-0-0_100075_1997-04-29_final
1997-08-17 10:04:48	ga_ls5t_ard_3-0-0_102081_1997-08-17_final
1997-10-23 10:35:13	ga_ls5t_ard_3-0-0_107075_1997-10-23_final
1997-12-30 10:14:57	ga_ls5t_ard_3-0-0_103082_1997-12-30_final
1998-05-01 10:51:42	ga_ls5t_ard_3-0-0_109076_1998-05-01_final
1998-06-07 09:28:23	ga_ls5t_ard_3-0-0_096067_1998-06-06_final
1998-07-31 08:57:26	ga_ls5t_ard_3-0-0_090081_1998-07-30_final
1998-10-15 10:59:07	ga_ls5t_ard_3-0-0_110075_1998-10-15_final
1999-01-22 09:51:45	ga_ls5t_ard_3-0-0_099076_1999-01-22_final
1999-04-12 09:54:14	ga_ls5t_ard_3-0-0_099083_1999-04-12_final
1999-08-03 08:58:00	ga_ls5t_ard_3-0-0_090084_1999-08-02_final
2003-08-23 10:26:54	ga_ls5t_ard_3-0-0_105076_2003-08-23_final
2004-03-21 09:17:21	ga_ls5t_ard_3-0-0_094067_2004-03-20_final
2004-08-16 10:39:00	ga_ls5t_ard_3-0-0_106076_2004-08-16_final
2004-11-04 09:02:24	ga_ls5t_ard_3-0-0_090077_2004-11-03_final
2005-01-26 11:11:09	ga_ls5t_ard_3-1-0_111071_2005-01-26_final
2005-08-20 11:26:30	ga_ls5t_ard_3-0-0_113074_2005-08-20_final
2005-09-18 09:21:35	ga_ls5t_ard_3-0-0_092086_2005-09-17_final
2005-11-01 09:38:39	ga_ls5t_ard_3-0-0_096067_2005-11-01_final
2006-02-26 10:06:40	ga_ls5t_ard_3-0-0_099084_2006-02-26_final
2006-11-08 09:28:36	ga_ls5t_ard_3-0-0_092088_2006-11-07_final
2006-12-20 11:36:32	ga_ls5t_ard_3-1-0_114067_2006-12-20_final
2007-01-29 09:16:50	ga_ls5t_ard_3-0-0_090088_2007-01-28_final
2007-03-16 09:27:11	ga_ls5t_ard_3-0-0_092083_2007-03-15_final
2007-04-22 09:46:45	ga_ls5t_ard_3-0-0_095086_2007-04-22_final
2007-05-12 09:22:38	ga_ls5t_ard_3-0-0_091088_2007-05-11_final
2008-02-07 10:08:02	ga_ls5t_ard_3-0-0_100072_2008-02-07_final
2008-04-20 10:02:20	ga_ls5t_ard_3-0-0_099077_2008-04-20_final
2009-04-24 10:40:09	ga_ls5t_ard_3-0-0_106068_2009-04-24_final
2009-09-24 10:39:40	ga_ls5t_ard_3-0-0_105076_2009-09-24_final
2010-03-21 10:26:00	ga_ls5t_ard_3-0-0_103070_2010-03-21_final
2010-12-20 10:16:09	ga_ls5t_ard_3-0-0_101079_2010-12-20_final
2011-01-07 10:00:15	ga_ls5t_ard_3-1-0_099070_2011-01-07_final
2011-03-30 11:31:03	ga_ls5t_ard_3-1-0_113081_2011-03-30_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years