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

48 results

Time (local)	Label
1987-06-01 10:09:51	ga_ls5t_ard_3-0-0_104081_1987-06-01_final
1987-10-26 09:00:04	ga_ls5t_ard_3-1-0_093068_1987-10-25_final
1988-11-11 09:14:59	ga_ls5t_ard_3-0-0_095067_1988-11-10_final
1989-06-23 09:12:10	ga_ls5t_ard_3-0-0_095067_1989-06-22_final
1989-11-30 09:08:18	ga_ls5t_ard_3-0-0_095067_1989-11-29_final
1989-12-16 09:07:52	ga_ls5t_ard_3-0-0_095067_1989-12-15_final
1990-04-30 09:10:41	ga_ls5t_ard_3-0-0_096067_1990-04-29_final
1990-06-17 09:10:45	ga_ls5t_ard_3-0-0_096067_1990-06-16_final
1991-02-18 08:39:35	ga_ls5t_ard_3-0-0_090080_1991-02-17_final
1991-05-19 09:13:04	ga_ls5t_ard_3-0-0_096067_1991-05-18_final
1991-10-07 08:46:55	ga_ls5t_ard_3-1-0_091075_1991-10-06_final
1992-01-20 10:23:02	ga_ls5t_ard_3-0-0_106083_1992-01-20_final
1992-09-23 08:44:49	ga_ls5t_ard_3-1-0_091075_1992-09-22_final
1992-10-21 09:05:52	ga_ls5t_ard_3-0-0_095067_1992-10-20_final
1993-05-05 08:51:19	ga_ls5t_ard_3-0-0_091090_1993-05-04_final
1994-02-13 09:05:29	ga_ls5t_ard_3-0-0_095067_1994-02-12_final
1994-04-09 09:10:46	ga_ls5t_ard_3-0-0_096067_1994-04-08_final
1994-07-14 09:16:21	ga_ls5t_ard_3-0-0_096086_1994-07-13_final
1995-01-31 08:56:23	ga_ls5t_ard_3-0-0_095067_1995-01-30_final
1995-07-01 08:56:04	ga_ls5t_ard_3-0-0_096067_1995-06-30_final
1995-10-04 08:12:18	ga_ls5t_ard_3-1-0_089077_1995-10-03_final
1996-03-13 10:41:52	ga_ls5t_ard_3-0-0_112080_1996-03-13_final
1996-04-30 09:00:47	ga_ls5t_ard_3-0-0_096067_1996-04-29_final
1996-10-16 09:03:45	ga_ls5t_ard_3-0-0_095067_1996-10-15_final
1996-11-17 09:05:17	ga_ls5t_ard_3-0-0_095067_1996-11-16_final
1996-11-17 09:11:16	ga_ls5t_ard_3-0-0_095082_1996-11-16_final
1996-12-19 09:06:48	ga_ls5t_ard_3-0-0_095067_1996-12-18_final
1997-04-01 09:17:23	ga_ls5t_ard_3-0-0_096067_1997-03-31_final
1997-05-28 09:13:13	ga_ls5t_ard_3-0-0_095067_1997-05-27_final
1997-07-21 10:23:16	ga_ls5t_ard_3-1-0_105083_1997-07-21_final
1998-01-12 09:39:10	ga_ls5t_ard_3-0-0_098069_1998-01-12_final
1998-01-14 09:26:03	ga_ls5t_ard_3-0-0_096067_1998-01-13_final
1998-11-16 09:17:15	ga_ls5t_ard_3-0-0_094067_1998-11-15_final
1999-02-20 10:56:22	ga_ls5t_ard_3-0-0_110067_1999-02-20_final
1999-05-25 09:28:48	ga_ls5t_ard_3-0-0_096067_1999-05-24_final
1999-07-28 09:28:18	ga_ls5t_ard_3-0-0_096067_1999-07-27_final
2004-02-25 09:23:23	ga_ls5t_ard_3-0-0_095067_2004-02-24_final
2004-10-22 09:29:03	ga_ls5t_ard_3-0-0_095067_2004-10-21_final
2005-04-07 09:37:41	ga_ls5t_ard_3-0-0_096067_2005-04-07_final
2005-05-02 09:31:37	ga_ls5t_ard_3-0-0_095067_2005-05-02_final
2005-06-19 09:31:59	ga_ls5t_ard_3-0-0_095067_2005-06-19_final
2006-02-21 09:41:15	ga_ls5t_ard_3-0-0_096067_2006-02-21_final
2006-10-28 09:38:41	ga_ls5t_ard_3-0-0_095067_2006-10-28_final
2007-07-16 10:00:35	ga_ls5t_ard_3-0-0_098077_2007-07-16_final
2008-07-13 09:31:19	ga_ls5t_ard_3-0-0_095067_2008-07-13_final
2009-08-04 10:08:27	ga_ls5t_ard_3-0-0_100077_2009-08-04_final
2010-01-24 09:35:14	ga_ls5t_ard_3-0-0_095067_2010-01-24_final
2010-02-16 09:41:30	ga_ls5t_ard_3-0-0_096067_2010-02-16_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