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
1987-12-24 08:46:10	ga_ls5t_ard_3-0-0_090077_1987-12-23_final
1988-01-29 10:02:35	ga_ls5t_ard_3-0-0_102081_1988-01-29_final
1989-03-24 09:36:38	ga_ls5t_ard_3-0-0_098079_1989-03-24_final
1989-05-20 09:29:35	ga_ls5t_ard_3-0-0_097078_1989-05-19_final
1990-04-04 08:39:30	ga_ls5t_ard_3-0-0_090082_1990-04-03_final
1991-01-31 10:28:07	ga_ls5t_ard_3-0-0_108074_1991-01-31_final
1991-06-28 08:30:37	ga_ls5t_ard_3-1-0_088083_1991-06-27_final
1991-07-13 11:01:41	ga_ls5t_ard_3-0-0_113074_1991-07-13_final
1991-07-26 10:31:00	ga_ls5t_ard_3-0-0_108074_1991-07-26_final
1991-10-30 10:31:41	ga_ls5t_ard_3-0-0_108074_1991-10-30_final
1991-11-17 08:45:18	ga_ls5t_ard_3-0-0_090086_1991-11-16_final
1992-01-04 10:19:02	ga_ls5t_ard_3-0-0_106073_1992-01-04_final
1992-08-02 10:48:28	ga_ls5t_ard_3-0-0_111073_1992-08-02_final
1992-10-05 10:47:19	ga_ls5t_ard_3-0-0_111073_1992-10-05_final
1992-12-19 10:28:52	ga_ls5t_ard_3-0-0_108074_1992-12-19_final
1992-12-28 08:48:17	ga_ls5t_ard_3-0-0_091085_1992-12-27_final
1993-01-09 10:47:15	ga_ls5t_ard_3-0-0_111073_1993-01-09_final
1993-03-12 11:00:37	ga_ls5t_ard_3-0-0_113074_1993-03-12_final
1993-04-27 09:32:21	ga_ls5t_ard_3-0-0_099069_1993-04-27_final
1993-06-29 10:29:58	ga_ls5t_ard_3-0-0_108074_1993-06-29_final
1993-07-08 09:30:08	ga_ls5t_ard_3-1-0_098079_1993-07-08_final
1993-11-20 10:29:27	ga_ls5t_ard_3-0-0_108074_1993-11-20_final
1993-11-25 09:06:19	ga_ls5t_ard_3-0-0_095067_1993-11-24_final
1994-01-16 10:22:44	ga_ls5t_ard_3-0-0_107074_1994-01-16_final
1994-11-14 10:28:21	ga_ls5t_ard_3-0-0_109074_1994-11-14_final
1994-11-30 10:27:50	ga_ls5t_ard_3-0-0_109074_1994-11-30_final
1994-12-11 08:31:17	ga_ls5t_ard_3-0-0_090077_1994-12-10_final
1995-11-11 09:13:22	ga_ls5t_ard_3-0-0_099079_1995-11-10_final
1996-08-04 09:06:01	ga_ls5t_ard_3-0-0_096067_1996-08-03_final
1996-08-25 09:27:16	ga_ls5t_ard_3-0-0_099071_1996-08-24_final
1997-01-04 10:48:51	ga_ls5t_ard_3-0-0_111073_1997-01-04_final
1997-02-01 11:15:39	ga_ls5t_ard_3-0-0_115075_1997-02-01_final
1998-04-06 10:56:47	ga_ls5t_ard_3-1-0_110074_1998-04-06_final
1998-05-26 10:45:09	ga_ls5t_ard_3-0-0_108074_1998-05-26_final
1998-07-24 08:50:50	ga_ls5t_ard_3-0-0_089080_1998-07-23_final
1998-08-19 09:22:54	ga_ls5t_ard_3-0-0_095067_1998-08-18_final
1999-09-03 11:28:20	ga_ls5t_ard_3-0-0_115075_1999-09-03_final
2003-08-07 10:26:13	ga_ls5t_ard_3-0-0_105075_2003-08-07_final
2004-01-21 08:56:18	ga_ls5t_ard_3-0-0_090077_2004-01-20_final
2004-03-05 10:58:31	ga_ls5t_ard_3-0-0_110073_2004-03-05_final
2005-04-27 10:54:43	ga_ls5t_ard_3-0-0_108074_2005-04-27_final
2005-11-22 10:02:28	ga_ls5t_ard_3-0-0_099079_2005-11-22_final
2006-01-25 11:42:03	ga_ls5t_ard_3-0-0_115077_2006-01-25_final
2006-06-02 10:03:06	ga_ls5t_ard_3-0-0_099071_2006-06-02_final
2006-06-26 10:54:31	ga_ls5t_ard_3-0-0_107075_2006-06-26_final
2006-12-03 09:17:27	ga_ls5t_ard_3-1-0_091075_2006-12-02_final
2006-12-05 09:06:42	ga_ls5t_ard_3-0-0_089079_2006-12-04_final
2007-01-16 09:39:18	ga_ls5t_ard_3-1-0_095067_2007-01-16_final
2007-03-05 11:20:39	ga_ls5t_ard_3-0-0_111073_2007-03-05_final
2007-05-04 10:05:22	ga_ls5t_ard_3-0-0_099071_2007-05-04_final
2007-08-17 10:00:42	ga_ls5t_ard_3-0-0_098078_2007-08-17_final
2008-07-22 09:24:52	ga_ls5t_ard_3-0-0_094067_2008-07-21_final
2008-11-22 10:45:16	ga_ls5t_ard_3-0-0_107075_2008-11-22_final
2009-01-05 09:31:36	ga_ls5t_ard_3-0-0_095073_2009-01-05_final
2009-02-12 10:35:36	ga_ls5t_ard_3-0-0_105076_2009-02-12_final
2009-02-15 11:07:46	ga_ls5t_ard_3-0-0_110079_2009-02-15_final
2009-05-01 09:10:21	ga_ls5t_ard_3-1-0_091075_2009-04-30_final
2011-01-28 10:23:12	ga_ls5t_ard_3-0-0_102081_2011-01-28_final
2011-10-13 10:07:20	ga_ls5t_ard_3-0-0_100077_2011-10-13_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