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

56 results

Time (local)	Label
1987-05-30 10:21:46	ga_ls5t_ard_3-0-0_106080_1987-05-30_final
1987-12-24 10:22:40	ga_ls5t_ard_3-0-0_106071_1987-12-24_final
1988-03-09 10:52:58	ga_ls5t_ard_3-0-0_110082_1988-03-09_final
1988-03-19 09:48:51	ga_ls5t_ard_3-0-0_100076_1988-03-19_final
1988-04-14 08:47:35	ga_ls5t_ard_3-0-0_090077_1988-04-13_final
1988-12-26 10:23:30	ga_ls5t_ard_3-0-0_106069_1988-12-26_final
1989-07-21 11:20:03	ga_ls5t_ard_3-0-0_115079_1989-07-21_final
1989-09-30 09:43:01	ga_ls5t_ard_3-0-0_100072_1989-09-30_final
1989-11-03 09:34:25	ga_ls5t_ard_3-0-0_098084_1989-11-03_final
1989-12-12 11:14:46	ga_ls5t_ard_3-0-0_115075_1989-12-12_final
1990-06-16 08:34:40	ga_ls5t_ard_3-0-0_089085_1990-06-15_final
1990-07-09 08:42:49	ga_ls5t_ard_3-1-0_090090_1990-07-08_final
1990-08-18 09:24:06	ga_ls5t_ard_3-0-0_098070_1990-08-17_final
1990-08-22 09:04:33	ga_ls5t_ard_3-0-0_094083_1990-08-21_final
1990-10-06 08:31:16	ga_ls5t_ard_3-0-0_089078_1990-10-05_final
1990-11-06 09:24:48	ga_ls5t_ard_3-0-0_098073_1990-11-05_final
1990-11-25 09:58:47	ga_ls5t_ard_3-0-0_103081_1990-11-25_final
1991-03-13 08:46:37	ga_ls5t_ard_3-0-0_091081_1991-03-12_final
1991-08-14 11:05:33	ga_ls5t_ard_3-0-0_113083_1991-08-14_final
1991-08-28 11:15:16	ga_ls5t_ard_3-0-0_115076_1991-08-28_final
1992-01-11 10:25:36	ga_ls5t_ard_3-0-0_107074_1992-01-11_final
1992-02-16 10:03:34	ga_ls5t_ard_3-0-0_103081_1992-02-16_final
1992-06-02 09:40:26	ga_ls5t_ard_3-0-0_100071_1992-06-02_final
1993-11-14 09:26:06	ga_ls5t_ard_3-0-0_098070_1993-11-13_final
1994-02-20 09:13:09	ga_ls5t_ard_3-0-0_096071_1994-02-19_final
1994-07-23 09:04:20	ga_ls5t_ard_3-0-0_095072_1994-07-22_final
1994-08-01 10:37:58	ga_ls5t_ard_3-0-0_110075_1994-08-01_final
1994-08-27 09:33:57	ga_ls5t_ard_3-0-0_100071_1994-08-27_final
1995-01-12 10:06:17	ga_ls5t_ard_3-0-0_106070_1995-01-12_final
1995-10-20 09:49:07	ga_ls5t_ard_3-0-0_105074_1995-10-20_final
1996-04-03 09:18:52	ga_ls5t_ard_3-0-0_099070_1996-04-02_final
1996-06-17 10:45:10	ga_ls5t_ard_3-0-0_112074_1996-06-17_final
1996-08-29 10:43:39	ga_ls5t_ard_3-0-0_111076_1996-08-29_final
1997-02-12 10:57:11	ga_ls5t_ard_3-0-0_112074_1997-02-12_final
1997-07-20 09:37:10	ga_ls5t_ard_3-0-0_098076_1997-07-20_final
1997-12-18 09:48:45	ga_ls5t_ard_3-0-0_099079_1997-12-18_final
1998-06-12 09:47:47	ga_ls5t_ard_3-0-0_099069_1998-06-12_final
1998-07-18 11:07:09	ga_ls5t_ard_3-0-0_111081_1998-07-18_final
1998-11-08 10:09:50	ga_ls5t_ard_3-0-0_102075_1998-11-08_final
1998-11-17 10:02:07	ga_ls5t_ard_3-0-0_101071_1998-11-17_final
1999-03-27 11:30:00	ga_ls5t_ard_3-0-0_115075_1999-03-27_final
1999-07-09 10:41:31	ga_ls5t_ard_3-0-0_107080_1999-07-09_final
2004-10-02 11:36:37	ga_ls5t_ard_3-0-0_115078_2004-10-02_final
2004-10-28 08:57:40	ga_ls5t_ard_3-0-0_089081_2004-10-27_final
2005-06-03 11:12:45	ga_ls5t_ard_3-0-0_111072_2005-06-03_final
2005-07-17 09:57:42	ga_ls5t_ard_3-0-0_099069_2005-07-17_final
2005-07-31 10:11:00	ga_ls5t_ard_3-0-0_101071_2005-07-31_final
2006-04-28 09:32:30	ga_ls5t_ard_3-1-0_094073_2006-04-28_final
2006-06-01 10:58:18	ga_ls5t_ard_3-0-0_108070_2006-06-01_final
2006-07-21 09:13:47	ga_ls5t_ard_3-0-0_090085_2006-07-20_final
2006-08-04 09:26:44	ga_ls5t_ard_3-0-0_092086_2006-08-03_final
2007-03-18 09:17:13	ga_ls5t_ard_3-0-0_090089_2007-03-17_final
2008-12-04 11:07:35	ga_ls5t_ard_3-1-0_111068_2008-12-04_final
2009-09-21 10:09:32	ga_ls5t_ard_3-0-0_100078_2009-09-21_final
2011-01-09 11:28:22	ga_ls5t_ard_3-0-0_113074_2011-01-09_final
2011-01-09 11:31:34	ga_ls5t_ard_3-0-0_113082_2011-01-09_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