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

55 results

Time (local)	Label
1987-09-01 08:55:57	ga_ls5t_ard_3-0-0_092076_1987-08-31_final
1987-12-02 09:20:08	ga_ls5t_ard_3-0-0_096070_1987-12-01_final
1988-01-02 10:18:15	ga_ls5t_ard_3-0-0_105075_1988-01-02_final
1988-03-16 09:16:44	ga_ls5t_ard_3-0-0_095073_1988-03-15_final
1988-06-11 09:21:07	ga_ls5t_ard_3-0-0_096067_1988-06-10_final
1989-02-28 08:50:05	ga_ls5t_ard_3-0-0_090084_1989-02-27_final
1989-07-02 09:08:17	ga_ls5t_ard_3-0-0_094073_1989-07-01_final
1990-10-21 09:26:53	ga_ls5t_ard_3-0-0_098078_1990-10-20_final
1990-11-18 09:52:43	ga_ls5t_ard_3-0-0_102081_1990-11-18_final
1991-03-05 09:31:04	ga_ls5t_ard_3-1-0_099069_1991-03-05_final
1991-03-18 08:59:40	ga_ls5t_ard_3-0-0_094067_1991-03-17_final
1991-09-23 10:13:21	ga_ls5t_ard_3-0-0_105075_1991-09-23_final
1991-09-26 09:02:09	ga_ls5t_ard_3-0-0_094067_1991-09-25_final
1992-05-05 09:14:22	ga_ls5t_ard_3-0-0_096067_1992-05-04_final
1992-10-03 09:23:39	ga_ls5t_ard_3-0-0_097080_1992-10-02_final
1992-10-30 08:59:34	ga_ls5t_ard_3-0-0_094067_1992-10-29_final
1992-11-26 10:21:12	ga_ls5t_ard_3-0-0_107071_1992-11-26_final
1993-06-20 09:01:44	ga_ls5t_ard_3-0-0_093085_1993-06-19_final
1993-09-06 10:52:26	ga_ls5t_ard_3-0-0_111084_1993-09-06_final
1993-12-13 08:53:52	ga_ls5t_ard_3-0-0_093067_1993-12-12_final
1994-02-04 09:13:46	ga_ls5t_ard_3-0-0_096072_1994-02-03_final
1994-10-31 08:38:47	ga_ls5t_ard_3-0-0_091077_1994-10-30_final
1994-11-19 09:05:02	ga_ls5t_ard_3-0-0_096067_1994-11-18_final
1995-11-08 08:37:42	ga_ls5t_ard_3-0-0_094067_1995-11-07_final
1996-02-25 08:18:36	ga_ls5t_ard_3-1-0_089080_1996-02-24_final
1996-03-15 08:52:45	ga_ls5t_ard_3-0-0_094085_1996-03-14_final
1996-12-31 09:32:06	ga_ls5t_ard_3-1-0_099067_1996-12-31_final
1997-01-26 10:13:59	ga_ls5t_ard_3-0-0_105076_1997-01-26_final
1997-02-02 08:41:59	ga_ls5t_ard_3-0-0_090077_1997-02-01_final
1997-03-08 10:07:55	ga_ls5t_ard_3-0-0_104072_1997-03-08_final
1997-04-03 09:12:41	ga_ls5t_ard_3-0-0_094086_1997-04-02_final
1997-04-08 09:24:37	ga_ls5t_ard_3-0-0_097069_1997-04-07_final
1997-07-28 08:48:23	ga_ls5t_ard_3-0-0_090077_1997-07-27_final
1997-08-05 09:35:42	ga_ls5t_ard_3-0-0_098071_1997-08-05_final
1998-01-07 09:19:43	ga_ls5t_ard_3-0-0_095067_1998-01-06_final
1998-10-18 09:52:20	ga_ls5t_ard_3-0-0_099078_1998-10-18_final
1998-10-22 09:23:14	ga_ls5t_ard_3-0-0_095067_1998-10-21_final
1999-01-27 10:12:17	ga_ls5t_ard_3-0-0_102081_1999-01-27_final
1999-07-05 09:22:12	ga_ls5t_ard_3-0-0_095067_1999-07-04_final
1999-09-19 11:27:50	ga_ls5t_ard_3-0-0_115075_1999-09-19_final
2003-09-14 09:51:00	ga_ls5t_ard_3-0-0_099078_2003-09-14_final
2003-10-06 09:18:12	ga_ls5t_ard_3-1-0_093088_2003-10-05_final
2003-10-09 09:41:57	ga_ls5t_ard_3-0-0_098070_2003-10-09_final
2005-01-07 09:07:06	ga_ls5t_ard_3-0-0_090086_2005-01-06_final
2005-02-11 09:30:53	ga_ls5t_ard_3-0-0_095067_2005-02-11_final
2006-04-15 10:02:24	ga_ls5t_ard_3-0-0_099071_2006-04-15_final
2006-12-29 09:58:20	ga_ls5t_ard_3-0-0_097084_2006-12-29_final
2007-03-05 09:39:22	ga_ls5t_ard_3-0-0_095067_2007-03-05_final
2009-03-08 09:48:20	ga_ls5t_ard_3-0-0_097080_2009-03-08_final
2009-05-09 09:59:10	ga_ls5t_ard_3-0-0_099073_2009-05-09_final
2009-05-20 11:17:19	ga_ls5t_ard_3-1-0_112067_2009-05-20_final
2010-08-05 10:21:15	ga_ls5t_ard_3-0-0_102075_2010-08-05_final
2010-12-13 10:09:07	ga_ls5t_ard_3-0-0_100077_2010-12-13_final
2011-03-18 09:28:18	ga_ls5t_ard_3-0-0_093083_2011-03-17_final
2011-04-28 10:57:34	ga_ls5t_ard_3-0-0_108075_2011-04-28_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