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

57 results

Time (local)	Label
1987-11-05 09:38:11	ga_ls5t_ard_3-0-0_099070_1987-11-05_final
1988-01-25 10:24:02	ga_ls5t_ard_3-0-0_106073_1988-01-25_final
1988-05-15 11:22:23	ga_ls5t_ard_3-0-0_115077_1988-05-15_final
1988-05-16 08:47:53	ga_ls5t_ard_3-0-0_090077_1988-05-15_final
1988-05-31 09:41:13	ga_ls5t_ard_3-0-0_099071_1988-05-31_final
1988-12-08 09:03:54	ga_ls5t_ard_3-0-0_092086_1988-12-07_final
1989-01-26 09:40:41	ga_ls5t_ard_3-0-0_099071_1989-01-26_final
1989-05-17 10:34:25	ga_ls5t_ard_3-0-0_108070_1989-05-17_final
1989-07-20 08:55:56	ga_ls5t_ard_3-1-0_092074_1989-07-19_final
1989-08-07 08:49:12	ga_ls5t_ard_3-0-0_090089_1989-08-06_final
1989-09-02 10:58:37	ga_ls5t_ard_3-0-0_112074_1989-09-02_final
1989-11-14 09:10:38	ga_ls5t_ard_3-0-0_095072_1989-11-13_final
1990-04-18 09:30:10	ga_ls5t_ard_3-1-0_099069_1990-04-18_final
1990-05-22 10:13:01	ga_ls5t_ard_3-0-0_106068_1990-05-22_final
1990-10-28 09:33:24	ga_ls5t_ard_3-0-0_099079_1990-10-28_final
1992-09-04 09:55:31	ga_ls5t_ard_3-0-0_102081_1992-09-04_final
1992-10-05 09:08:03	ga_ls5t_ard_3-0-0_095072_1992-10-04_final
1993-01-15 08:33:45	ga_ls5t_ard_3-0-0_089079_1993-01-14_final
1993-06-19 09:55:46	ga_ls5t_ard_3-0-0_102081_1993-06-19_final
1993-09-11 11:09:22	ga_ls5t_ard_3-0-0_114080_1993-09-11_final
1994-04-07 09:27:58	ga_ls5t_ard_3-0-0_098079_1994-04-06_final
1994-09-23 09:19:54	ga_ls5t_ard_3-0-0_097084_1994-09-22_final
1995-06-04 09:16:13	ga_ls5t_ard_3-0-0_099068_1995-06-03_final
1995-06-11 09:26:04	ga_ls5t_ard_3-0-0_100078_1995-06-10_final
1995-09-09 08:24:09	ga_ls5t_ard_3-0-0_090088_1995-09-08_final
1995-11-28 09:57:25	ga_ls5t_ard_3-0-0_106080_1995-11-28_final
1996-02-24 09:13:46	ga_ls5t_ard_3-0-0_098079_1996-02-23_final
1996-05-05 11:02:30	ga_ls5t_ard_3-0-0_115077_1996-05-05_final
1997-02-14 10:43:19	ga_ls5t_ard_3-0-0_110070_1997-02-14_final
1997-08-25 10:52:06	ga_ls5t_ard_3-0-0_110075_1997-08-25_final
1998-03-05 09:17:50	ga_ls5t_ard_3-0-0_094075_1998-03-04_final
1998-03-28 09:23:34	ga_ls5t_ard_3-0-0_095073_1998-03-27_final
1998-06-10 10:05:18	ga_ls5t_ard_3-0-0_101082_1998-06-10_final
1998-10-10 09:06:54	ga_ls5t_ard_3-0-0_091088_1998-10-09_final
1999-02-16 09:46:35	ga_ls5t_ard_3-0-0_098078_1999-02-16_final
1999-12-09 08:57:24	ga_ls5t_ard_3-0-0_090089_1999-12-08_final
2003-10-07 09:56:41	ga_ls5t_ard_3-0-0_100076_2003-10-07_final
2004-01-26 10:52:34	ga_ls5t_ard_3-0-0_109074_2004-01-26_final
2004-02-01 10:14:42	ga_ls5t_ard_3-0-0_103072_2004-02-01_final
2004-07-06 09:10:56	ga_ls5t_ard_3-0-0_091090_2004-07-05_final
2004-11-23 09:31:36	ga_ls5t_ard_3-0-0_095072_2004-11-23_final
2004-12-14 09:55:48	ga_ls5t_ard_3-1-0_098085_2004-12-14_final
2004-12-21 09:56:30	ga_ls5t_ard_3-0-0_099071_2004-12-21_final
2005-03-15 09:31:22	ga_ls5t_ard_3-0-0_095067_2005-03-15_final
2005-03-20 09:50:45	ga_ls5t_ard_3-0-0_098069_2005-03-20_final
2005-05-07 09:56:35	ga_ls5t_ard_3-0-0_098083_2005-05-07_final
2005-09-04 09:05:37	ga_ls5t_ard_3-0-0_090077_2005-09-03_final
2005-10-01 10:23:56	ga_ls5t_ard_3-0-0_103072_2005-10-01_final
2005-10-14 09:57:46	ga_ls5t_ard_3-0-0_098084_2005-10-14_final
2006-02-15 10:23:47	ga_ls5t_ard_3-0-0_102081_2006-02-15_final
2006-08-30 09:57:45	ga_ls5t_ard_3-0-0_098070_2006-08-30_final
2006-12-22 09:52:06	ga_ls5t_ard_3-0-0_096084_2006-12-22_final
2007-02-07 09:07:05	ga_ls5t_ard_3-0-0_089079_2007-02-06_final
2008-03-01 10:15:47	ga_ls5t_ard_3-0-0_101077_2008-03-01_final
2008-04-20 10:02:20	ga_ls5t_ard_3-0-0_099077_2008-04-20_final
2009-05-01 09:15:33	ga_ls5t_ard_3-0-0_091088_2009-04-30_final
2011-10-15 09:51:47	ga_ls5t_ard_3-0-0_098069_2011-10-15_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