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
1989-08-31 09:29:20	ga_ls5t_ard_3-1-0_098067_1989-08-30_final
1989-12-27 10:29:04	ga_ls5t_ard_3-0-0_108070_1989-12-27_final
1990-08-26 10:17:28	ga_ls5t_ard_3-0-0_106080_1990-08-26_final
1991-01-11 10:52:22	ga_ls5t_ard_3-0-0_112074_1991-01-11_final
1991-02-26 09:25:35	ga_ls5t_ard_3-0-0_098071_1991-02-25_final
1991-08-22 08:35:18	ga_ls5t_ard_3-0-0_089078_1991-08-21_final
1992-02-07 10:09:24	ga_ls5t_ard_3-0-0_104080_1992-02-07_final
1992-03-18 10:56:28	ga_ls5t_ard_3-0-0_112074_1992-03-18_final
1992-04-20 10:03:21	ga_ls5t_ard_3-0-0_103081_1992-04-20_final
1993-01-28 09:41:04	ga_ls5t_ard_3-0-0_100077_1993-01-28_final
1993-02-15 09:29:42	ga_ls5t_ard_3-0-0_098079_1993-02-14_final
1993-03-10 09:33:17	ga_ls5t_ard_3-0-0_099072_1993-03-10_final
1993-03-26 09:35:16	ga_ls5t_ard_3-0-0_099077_1993-03-26_final
1993-04-23 10:02:14	ga_ls5t_ard_3-0-0_103082_1993-04-23_final
1994-06-12 09:16:22	ga_ls5t_ard_3-0-0_096084_1994-06-11_final
1994-07-21 10:53:38	ga_ls5t_ard_3-0-0_113067_1994-07-21_final
1995-01-27 09:23:16	ga_ls5t_ard_3-0-0_099072_1995-01-26_final
1995-02-03 09:31:09	ga_ls5t_ard_3-0-0_100077_1995-02-03_final
1995-02-26 09:36:24	ga_ls5t_ard_3-0-0_101077_1995-02-26_final
1995-10-09 08:34:10	ga_ls5t_ard_3-0-0_092086_1995-10-08_final
1995-10-26 09:13:17	ga_ls5t_ard_3-0-0_099078_1995-10-25_final
1995-11-11 09:12:34	ga_ls5t_ard_3-0-0_099077_1995-11-10_final
1995-12-30 08:24:49	ga_ls5t_ard_3-1-0_090090_1995-12-29_final
1996-02-16 08:24:35	ga_ls5t_ard_3-0-0_090081_1996-02-15_final
1996-03-30 09:42:33	ga_ls5t_ard_3-0-0_103068_1996-03-30_final
1996-04-10 09:25:53	ga_ls5t_ard_3-0-0_100071_1996-04-09_final
1996-06-10 10:38:13	ga_ls5t_ard_3-0-0_111073_1996-06-10_final
1996-08-08 10:23:35	ga_ls5t_ard_3-0-0_108075_1996-08-08_final
1997-03-10 09:59:14	ga_ls5t_ard_3-0-0_102081_1997-03-10_final
1997-06-06 09:14:56	ga_ls5t_ard_3-0-0_094086_1997-06-05_final
1997-11-09 11:15:43	ga_ls5t_ard_3-0-0_114067_1997-11-09_final
1998-02-27 09:55:38	ga_ls5t_ard_3-0-0_100077_1998-02-27_final
1998-04-09 09:50:50	ga_ls5t_ard_3-0-0_099079_1998-04-09_final
1998-05-01 09:14:25	ga_ls5t_ard_3-0-0_093080_1998-04-30_final
1998-05-30 10:22:53	ga_ls5t_ard_3-0-0_104080_1998-05-30_final
1998-07-18 11:07:09	ga_ls5t_ard_3-0-0_111081_1998-07-18_final
1998-07-21 09:59:36	ga_ls5t_ard_3-0-0_100082_1998-07-21_final
1999-08-27 09:44:42	ga_ls5t_ard_3-0-0_098078_1999-08-27_final
2000-03-17 10:57:08	ga_ls5t_ard_3-0-0_111067_2000-03-17_final
2003-11-08 09:57:23	ga_ls5t_ard_3-0-0_100077_2003-11-08_final
2004-04-09 09:55:00	ga_ls5t_ard_3-0-0_099083_2004-04-09_final
2004-10-02 09:54:32	ga_ls5t_ard_3-0-0_099070_2004-10-02_final
2004-12-04 10:53:01	ga_ls5t_ard_3-0-0_108074_2004-12-04_final
2005-02-06 10:53:57	ga_ls5t_ard_3-0-0_108074_2005-02-06_final
2005-10-21 10:01:34	ga_ls5t_ard_3-0-0_099078_2005-10-21_final
2006-05-06 10:25:39	ga_ls5t_ard_3-0-0_102082_2006-05-06_final
2006-06-23 10:25:33	ga_ls5t_ard_3-0-0_102080_2006-06-23_final
2006-11-16 10:16:31	ga_ls5t_ard_3-0-0_100084_2006-11-16_final
2006-12-12 09:15:45	ga_ls5t_ard_3-0-0_090086_2006-12-11_final
2008-01-30 09:25:06	ga_ls5t_ard_3-0-0_092088_2008-01-29_final
2008-10-16 10:24:30	ga_ls5t_ard_3-0-0_104068_2008-10-16_final
2009-01-04 10:30:47	ga_ls5t_ard_3-1-0_104082_2009-01-04_final
2009-01-22 10:15:18	ga_ls5t_ard_3-0-0_102073_2009-01-22_final
2009-04-07 10:00:33	ga_ls5t_ard_3-0-0_099078_2009-04-07_final
2010-03-30 10:24:35	ga_ls5t_ard_3-0-0_102082_2010-03-30_final
2010-04-20 10:38:16	ga_ls5t_ard_3-0-0_105070_2010-04-20_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