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
1987-12-08 08:50:43	ga_ls5t_ard_3-0-0_090089_1987-12-07_final
1987-12-24 08:46:10	ga_ls5t_ard_3-0-0_090077_1987-12-23_final
1988-07-18 09:41:26	ga_ls5t_ard_3-0-0_099071_1988-07-18_final
1988-11-07 09:44:31	ga_ls5t_ard_3-0-0_099079_1988-11-07_final
1988-11-15 08:59:03	ga_ls5t_ard_3-0-0_091089_1988-11-14_final
1988-12-28 10:15:08	ga_ls5t_ard_3-0-0_104079_1988-12-28_final
1989-01-17 09:47:00	ga_ls5t_ard_3-0-0_100071_1989-01-17_final
1989-03-28 10:51:40	ga_ls5t_ard_3-0-0_110081_1989-03-28_final
1989-04-21 09:56:58	ga_ls5t_ard_3-0-0_102068_1989-04-21_final
1989-08-30 08:50:05	ga_ls5t_ard_3-0-0_091077_1989-08-29_final
1990-07-08 09:33:39	ga_ls5t_ard_3-1-0_099078_1990-07-08_final
1990-12-03 10:44:52	ga_ls5t_ard_3-0-0_111073_1990-12-03_final
1991-03-22 10:14:19	ga_ls5t_ard_3-0-0_106068_1991-03-22_final
1991-05-12 09:13:58	ga_ls5t_ard_3-0-0_095085_1991-05-11_final
1991-11-01 10:17:42	ga_ls5t_ard_3-0-0_106070_1991-11-01_final
1992-02-13 09:28:40	ga_ls5t_ard_3-0-0_098071_1992-02-12_final
1992-05-20 10:16:14	ga_ls5t_ard_3-1-0_105083_1992-05-20_final
1992-11-09 09:38:02	ga_ls5t_ard_3-0-0_100071_1992-11-09_final
1992-11-28 08:35:59	ga_ls5t_ard_3-0-0_089086_1992-11-27_final
1993-05-28 08:56:23	ga_ls5t_ard_3-0-0_092087_1993-05-27_final
1993-07-24 08:49:15	ga_ls5t_ard_3-0-0_091085_1993-07-23_final
1995-01-28 10:07:17	ga_ls5t_ard_3-0-0_106074_1995-01-28_final
1995-01-30 08:19:09	ga_ls5t_ard_3-1-0_088082_1995-01-29_final
1995-09-24 09:12:14	ga_ls5t_ard_3-0-0_099071_1995-09-23_final
1996-02-08 09:09:53	ga_ls5t_ard_3-0-0_098072_1996-02-07_final
1996-07-12 08:58:37	ga_ls5t_ard_3-0-0_095067_1996-07-11_final
1996-08-31 10:31:24	ga_ls5t_ard_3-0-0_109076_1996-08-31_final
1997-06-13 10:55:51	ga_ls5t_ard_3-0-0_111075_1997-06-13_final
1997-12-18 09:45:09	ga_ls5t_ard_3-0-0_099070_1997-12-18_final
1998-04-02 09:46:32	ga_ls5t_ard_3-0-0_098084_1998-04-02_final
1998-08-17 09:42:26	ga_ls5t_ard_3-0-0_097085_1998-08-17_final
1998-10-18 09:52:20	ga_ls5t_ard_3-0-0_099078_1998-10-18_final
1999-03-11 09:49:00	ga_ls5t_ard_3-1-0_099069_1999-03-11_final
1999-07-17 11:30:32	ga_ls5t_ard_3-1-0_115079_1999-07-17_final
1999-07-20 08:44:52	ga_ls5t_ard_3-0-0_088082_1999-07-19_final
2003-11-01 09:48:21	ga_ls5t_ard_3-0-0_099070_2003-11-01_final
2003-11-09 10:38:17	ga_ls5t_ard_3-0-0_107071_2003-11-09_final
2003-12-05 11:20:09	ga_ls5t_ard_3-0-0_113082_2003-12-05_final
2004-03-09 08:56:33	ga_ls5t_ard_3-0-0_090077_2004-03-08_final
2004-05-11 09:53:32	ga_ls5t_ard_3-0-0_099077_2004-05-11_final
2004-05-29 09:39:42	ga_ls5t_ard_3-0-0_097072_2004-05-29_final
2004-10-07 10:17:34	ga_ls5t_ard_3-0-0_102081_2004-10-07_final
2004-10-18 09:54:53	ga_ls5t_ard_3-0-0_099070_2004-10-18_final
2004-12-25 11:11:32	ga_ls5t_ard_3-0-0_111073_2004-12-25_final
2005-02-07 10:00:20	ga_ls5t_ard_3-0-0_099079_2005-02-07_final
2005-04-18 11:01:39	ga_ls5t_ard_3-0-0_109076_2005-04-18_final
2005-07-25 09:15:31	ga_ls5t_ard_3-0-0_091087_2005-07-24_final
2005-08-19 10:43:38	ga_ls5t_ard_3-0-0_106075_2005-08-19_final
2006-06-27 10:00:30	ga_ls5t_ard_3-0-0_098079_2006-06-27_final
2007-01-28 10:08:52	ga_ls5t_ard_3-0-0_099079_2007-01-28_final
2008-09-28 09:05:45	ga_ls5t_ard_3-0-0_090086_2008-09-27_final
2008-11-25 09:39:46	ga_ls5t_ard_3-0-0_096081_2008-11-25_final
2008-12-23 10:01:46	ga_ls5t_ard_3-0-0_100072_2008-12-23_final
2009-10-11 09:48:14	ga_ls5t_ard_3-0-0_096086_2009-10-11_final
2010-04-21 11:23:08	ga_ls5t_ard_3-0-0_112074_2010-04-21_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