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
1987-09-24 09:01:53	ga_ls5t_ard_3-0-0_093074_1987-09-23_final
1987-12-18 11:04:50	ga_ls5t_ard_3-0-0_112084_1987-12-18_final
1988-05-09 08:42:02	ga_ls5t_ard_3-0-0_089078_1988-05-08_final
1988-10-16 08:43:28	ga_ls5t_ard_3-0-0_089081_1988-10-15_final
1989-06-09 09:08:08	ga_ls5t_ard_3-0-0_093087_1989-06-08_final
1990-05-09 10:47:06	ga_ls5t_ard_3-0-0_111076_1990-05-09_final
1990-05-30 09:29:31	ga_ls5t_ard_3-0-0_098083_1990-05-29_final
1990-10-30 11:01:05	ga_ls5t_ard_3-0-0_113082_1990-10-30_final
1990-11-07 10:06:53	ga_ls5t_ard_3-0-0_105070_1990-11-07_final
1990-12-03 10:45:40	ga_ls5t_ard_3-0-0_111075_1990-12-03_final
1990-12-31 09:33:43	ga_ls5t_ard_3-0-0_099079_1990-12-31_final
1991-01-09 09:27:22	ga_ls5t_ard_3-0-0_098078_1991-01-08_final
1991-05-21 09:06:45	ga_ls5t_ard_3-0-0_094082_1991-05-20_final
1992-02-29 09:29:07	ga_ls5t_ard_3-0-0_098072_1992-02-28_final
1992-08-11 10:42:57	ga_ls5t_ard_3-0-0_110075_1992-08-11_final
1992-11-03 10:14:03	ga_ls5t_ard_3-0-0_106068_1992-11-03_final
1992-12-14 08:34:11	ga_ls5t_ard_3-0-0_089081_1992-12-13_final
1993-02-06 09:35:00	ga_ls5t_ard_3-0-0_099077_1993-02-06_final
1993-07-15 08:55:51	ga_ls5t_ard_3-0-0_092086_1993-07-14_final
1993-09-26 10:23:40	ga_ls5t_ard_3-0-0_107074_1993-09-26_final
1995-04-04 08:16:33	ga_ls5t_ard_3-1-0_088082_1995-04-03_final
1995-09-02 09:54:00	ga_ls5t_ard_3-0-0_105080_1995-09-02_final
1996-03-24 08:48:20	ga_ls5t_ard_3-1-0_093088_1996-03-23_final
1996-06-05 08:46:06	ga_ls5t_ard_3-0-0_092087_1996-06-04_final
1996-06-24 09:10:50	ga_ls5t_ard_3-1-0_097069_1996-06-23_final
1996-07-16 10:14:59	ga_ls5t_ard_3-0-0_107072_1996-07-16_final
1996-07-19 09:09:10	ga_ls5t_ard_3-0-0_096077_1996-07-18_final
1996-11-11 09:46:28	ga_ls5t_ard_3-0-0_101078_1996-11-11_final
1997-01-13 10:41:54	ga_ls5t_ard_3-0-0_110070_1997-01-13_final
1997-09-26 10:51:49	ga_ls5t_ard_3-0-0_110072_1997-09-26_final
1998-02-14 10:23:07	ga_ls5t_ard_3-0-0_105069_1998-02-14_final
1998-11-18 10:45:23	ga_ls5t_ard_3-0-0_108071_1998-11-18_final
1999-04-28 09:47:50	ga_ls5t_ard_3-0-0_099067_1999-04-28_final
2003-10-26 10:28:14	ga_ls5t_ard_3-0-0_105077_2003-10-26_final
2004-05-17 10:53:32	ga_ls5t_ard_3-0-0_109072_2004-05-17_final
2004-06-07 09:38:59	ga_ls5t_ard_3-0-0_096085_2004-06-07_final
2004-10-18 10:00:29	ga_ls5t_ard_3-0-0_099084_2004-10-18_final
2005-01-16 10:35:31	ga_ls5t_ard_3-0-0_105075_2005-01-16_final
2005-05-05 10:04:08	ga_ls5t_ard_3-0-0_100071_2005-05-05_final
2005-05-08 10:37:03	ga_ls5t_ard_3-0-0_105076_2005-05-08_final
2005-07-06 10:18:06	ga_ls5t_ard_3-0-0_102074_2005-07-06_final
2005-07-18 10:43:46	ga_ls5t_ard_3-0-0_106076_2005-07-18_final
2006-02-26 10:01:05	ga_ls5t_ard_3-0-0_099070_2006-02-26_final
2006-12-03 10:59:32	ga_ls5t_ard_3-0-0_107083_2006-12-03_final
2007-02-15 09:58:32	ga_ls5t_ard_3-0-0_097084_2007-02-15_final
2007-03-02 09:17:39	ga_ls5t_ard_3-1-0_090090_2007-03-01_final
2007-08-23 09:27:57	ga_ls5t_ard_3-0-0_092089_2007-08-22_final
2007-09-11 11:28:47	ga_ls5t_ard_3-0-0_113067_2007-09-11_final
2007-09-20 11:28:55	ga_ls5t_ard_3-0-0_112083_2007-09-20_final
2008-11-15 09:00:45	ga_ls5t_ard_3-0-0_090077_2008-11-14_final
2009-02-06 11:15:19	ga_ls5t_ard_3-0-0_111083_2009-02-06_final
2009-11-17 10:00:18	ga_ls5t_ard_3-0-0_099069_2009-11-17_final
2009-12-14 09:45:59	ga_ls5t_ard_3-0-0_096079_2009-12-14_final
2010-02-15 10:37:55	ga_ls5t_ard_3-0-0_105069_2010-02-15_final
2011-01-04 11:13:01	ga_ls5t_ard_3-0-0_110082_2011-01-04_final
2011-01-13 11:02:51	ga_ls5t_ard_3-0-0_109072_2011-01-13_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