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
1987-05-19 10:37:38	ga_ls5t_ard_3-0-0_109074_1987-05-19_final
1988-07-17 10:38:15	ga_ls5t_ard_3-0-0_108074_1988-07-17_final
1988-08-02 10:41:52	ga_ls5t_ard_3-0-0_108083_1988-08-02_final
1988-09-12 08:53:39	ga_ls5t_ard_3-1-0_091075_1988-09-11_final
1989-06-02 10:35:49	ga_ls5t_ard_3-0-0_108074_1989-06-02_final
1989-08-21 10:34:07	ga_ls5t_ard_3-0-0_108074_1989-08-21_final
1990-01-02 09:56:09	ga_ls5t_ard_3-0-0_102081_1990-01-02_final
1990-02-25 09:11:47	ga_ls5t_ard_3-0-0_096067_1990-02-24_final
1990-06-22 09:33:41	ga_ls5t_ard_3-0-0_099078_1990-06-22_final
1990-10-11 10:27:09	ga_ls5t_ard_3-0-0_108074_1990-10-11_final
1991-10-28 10:43:15	ga_ls5t_ard_3-0-0_110072_1991-10-28_final
1992-05-06 10:02:24	ga_ls5t_ard_3-0-0_103079_1992-05-06_final
1992-09-10 09:12:46	ga_ls5t_ard_3-0-0_096067_1992-09-09_final
1993-01-13 08:44:53	ga_ls5t_ard_3-0-0_091076_1993-01-12_final
1993-01-13 08:45:17	ga_ls5t_ard_3-0-0_091077_1993-01-12_final
1993-05-08 09:13:02	ga_ls5t_ard_3-0-0_096067_1993-05-07_final
1993-10-15 09:12:47	ga_ls5t_ard_3-0-0_096067_1993-10-14_final
1993-11-16 09:12:31	ga_ls5t_ard_3-0-0_096067_1993-11-15_final
1993-12-02 09:12:28	ga_ls5t_ard_3-0-0_096067_1993-12-01_final
1994-01-04 10:01:01	ga_ls5t_ard_3-0-0_103081_1994-01-04_final
1994-02-14 09:54:19	ga_ls5t_ard_3-0-0_102081_1994-02-14_final
1994-06-22 09:52:01	ga_ls5t_ard_3-0-0_102081_1994-06-22_final
1994-10-02 09:06:40	ga_ls5t_ard_3-0-0_096067_1994-10-01_final
1994-11-14 10:26:45	ga_ls5t_ard_3-0-0_109070_1994-11-14_final
1994-12-20 08:25:37	ga_ls5t_ard_3-0-0_089079_1994-12-19_final
1995-01-15 10:38:17	ga_ls5t_ard_3-0-0_111073_1995-01-15_final
1995-01-22 09:02:55	ga_ls5t_ard_3-0-0_096067_1995-01-21_final
1995-01-26 10:19:43	ga_ls5t_ard_3-0-0_108074_1995-01-26_final
1995-03-21 09:43:14	ga_ls5t_ard_3-0-0_102081_1995-03-21_final
1995-12-22 09:05:41	ga_ls5t_ard_3-0-0_098070_1995-12-21_final
1996-03-01 08:39:52	ga_ls5t_ard_3-0-0_092086_1996-02-29_final
1996-03-13 08:57:48	ga_ls5t_ard_3-0-0_096067_1996-03-12_final
1996-03-17 10:15:01	ga_ls5t_ard_3-0-0_108074_1996-03-17_final
1996-05-16 09:01:43	ga_ls5t_ard_3-0-0_096067_1996-05-15_final
1996-11-12 10:28:11	ga_ls5t_ard_3-0-0_108074_1996-11-12_final
1997-03-13 10:27:51	ga_ls5t_ard_3-0-0_107075_1997-03-13_final
1997-05-30 10:42:37	ga_ls5t_ard_3-0-0_109074_1997-05-30_final
1997-06-26 08:51:41	ga_ls5t_ard_3-0-0_090088_1997-06-25_final
1997-07-16 10:03:45	ga_ls5t_ard_3-0-0_102081_1997-07-16_final
1997-08-31 10:15:59	ga_ls5t_ard_3-0-0_104077_1997-08-31_final
1998-06-07 09:28:23	ga_ls5t_ard_3-0-0_096067_1998-06-06_final
1998-07-13 10:45:46	ga_ls5t_ard_3-0-0_108074_1998-07-13_final
1998-08-19 09:22:54	ga_ls5t_ard_3-0-0_095067_1998-08-18_final
1999-07-17 09:48:27	ga_ls5t_ard_3-0-0_099071_1999-07-17_final
1999-09-18 10:44:12	ga_ls5t_ard_3-0-0_108074_1999-09-18_final
1999-12-19 09:25:42	ga_ls5t_ard_3-0-0_096067_1999-12-18_final
2003-07-13 10:32:21	ga_ls5t_ard_3-0-0_106076_2003-07-13_final
2003-08-30 10:33:13	ga_ls5t_ard_3-0-0_106076_2003-08-30_final
2004-05-12 10:36:26	ga_ls5t_ard_3-0-0_106076_2004-05-12_final
2004-06-07 09:31:47	ga_ls5t_ard_3-0-0_096067_2004-06-07_final
2004-06-12 09:54:28	ga_ls5t_ard_3-0-0_099077_2004-06-12_final
2004-10-03 10:40:13	ga_ls5t_ard_3-1-0_106076_2004-10-03_final
2005-05-21 10:06:39	ga_ls5t_ard_3-0-0_100077_2005-05-21_final
2006-02-21 09:41:15	ga_ls5t_ard_3-0-0_096067_2006-02-21_final
2007-04-29 09:45:17	ga_ls5t_ard_3-1-0_096067_2007-04-29_final
2007-08-05 09:31:42	ga_ls5t_ard_3-0-0_094067_2007-08-05_final
2008-04-15 09:39:55	ga_ls5t_ard_3-0-0_096067_2008-04-15_final
2009-11-02 10:48:38	ga_ls5t_ard_3-0-0_106082_2009-11-02_final
2010-11-29 11:36:50	ga_ls5t_ard_3-1-0_114080_2010-11-29_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