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

59 results

Time (local)	Label
1987-09-29 09:24:56	ga_ls5t_ard_3-0-0_096085_1987-09-28_final
1987-10-30 08:43:48	ga_ls5t_ard_3-0-0_089089_1987-10-29_final
1988-01-28 09:21:18	ga_ls5t_ard_3-0-0_095086_1988-01-27_final
1988-03-22 10:18:59	ga_ls5t_ard_3-0-0_105074_1988-03-22_final
1988-04-23 10:19:10	ga_ls5t_ard_3-0-0_105074_1988-04-23_final
1988-09-05 08:53:05	ga_ls5t_ard_3-0-0_090089_1988-09-04_final
1988-10-18 10:05:12	ga_ls5t_ard_3-0-0_103069_1988-10-18_final
1988-11-14 09:49:53	ga_ls5t_ard_3-0-0_100077_1988-11-14_final
1989-05-18 09:41:34	ga_ls5t_ard_3-0-0_099077_1989-05-18_final
1989-07-04 10:35:33	ga_ls5t_ard_3-0-0_108075_1989-07-04_final
1989-12-14 09:25:28	ga_ls5t_ard_3-0-0_097080_1989-12-13_final
1990-05-25 10:45:51	ga_ls5t_ard_3-0-0_111073_1990-05-25_final
1990-08-29 10:45:57	ga_ls5t_ard_3-0-0_111074_1990-08-29_final
1990-10-16 10:45:40	ga_ls5t_ard_3-0-0_111074_1990-10-16_final
1990-12-20 09:52:47	ga_ls5t_ard_3-0-0_102081_1990-12-20_final
1991-04-23 08:43:06	ga_ls5t_ard_3-0-0_090086_1991-04-22_final
1991-08-18 10:37:16	ga_ls5t_ard_3-0-0_109074_1991-08-18_final
1992-02-25 09:54:15	ga_ls5t_ard_3-0-0_102073_1992-02-25_final
1992-03-28 09:57:43	ga_ls5t_ard_3-0-0_102082_1992-03-28_final
1992-04-26 11:02:18	ga_ls5t_ard_3-0-0_113074_1992-04-26_final
1992-12-08 09:08:02	ga_ls5t_ard_3-0-0_095073_1992-12-07_final
1993-09-22 10:48:00	ga_ls5t_ard_3-0-0_111073_1993-09-22_final
1993-09-29 09:19:40	ga_ls5t_ard_3-0-0_096084_1993-09-28_final
1994-03-04 09:40:05	ga_ls5t_ard_3-0-0_100077_1994-03-04_final
1994-07-29 08:29:52	ga_ls5t_ard_3-0-0_089079_1994-07-28_final
1994-08-26 10:31:35	ga_ls5t_ard_3-0-0_109076_1994-08-26_final
1994-10-31 08:43:11	ga_ls5t_ard_3-0-0_091088_1994-10-30_final
1996-02-10 10:37:21	ga_ls5t_ard_3-0-0_112074_1996-02-10_final
1996-05-25 09:03:14	ga_ls5t_ard_3-0-0_095085_1996-05-24_final
1997-10-21 10:47:08	ga_ls5t_ard_3-0-0_109074_1997-10-21_final
1998-09-07 09:57:59	ga_ls5t_ard_3-0-0_100077_1998-09-07_final
1998-11-28 09:43:33	ga_ls5t_ard_3-0-0_098071_1998-11-28_final
1998-12-12 09:58:15	ga_ls5t_ard_3-0-0_100077_1998-12-12_final
1999-06-11 10:17:24	ga_ls5t_ard_3-0-0_103081_1999-06-11_final
1999-07-17 09:52:03	ga_ls5t_ard_3-0-0_099080_1999-07-17_final
1999-09-03 09:50:39	ga_ls5t_ard_3-0-0_099078_1999-09-03_final
1999-09-30 11:08:47	ga_ls5t_ard_3-0-0_112074_1999-09-30_final
2003-07-09 10:59:00	ga_ls5t_ard_3-0-0_110081_2003-07-09_final
2003-12-11 09:05:23	ga_ls5t_ard_3-0-0_091085_2003-12-10_final
2004-02-13 09:01:47	ga_ls5t_ard_3-1-0_091075_2004-02-12_final
2004-05-15 11:06:38	ga_ls5t_ard_3-0-0_111074_2004-05-15_final
2005-02-24 10:42:17	ga_ls5t_ard_3-0-0_106075_2005-02-24_final
2005-08-03 10:43:31	ga_ls5t_ard_3-0-0_106075_2005-08-03_final
2005-10-31 10:37:02	ga_ls5t_ard_3-0-0_105074_2005-10-31_final
2005-11-17 11:20:42	ga_ls5t_ard_3-0-0_112074_2005-11-17_final
2006-02-17 10:09:52	ga_ls5t_ard_3-0-0_100077_2006-02-17_final
2006-03-05 10:07:49	ga_ls5t_ard_3-0-0_100071_2006-03-05_final
2006-03-20 11:05:44	ga_ls5t_ard_3-0-0_109076_2006-03-20_final
2006-06-24 11:06:27	ga_ls5t_ard_3-0-0_109074_2006-06-24_final
2006-08-04 09:27:08	ga_ls5t_ard_3-0-0_092087_2006-08-03_final
2007-05-29 09:58:05	ga_ls5t_ard_3-0-0_098069_2007-05-29_final
2007-09-21 10:32:29	ga_ls5t_ard_3-0-0_103081_2007-09-21_final
2008-02-10 10:40:29	ga_ls5t_ard_3-0-0_105076_2008-02-10_final
2008-08-11 10:39:15	ga_ls5t_ard_3-0-0_106069_2008-08-11_final
2008-09-28 10:37:27	ga_ls5t_ard_3-0-0_106068_2008-09-28_final
2009-12-03 10:00:02	ga_ls5t_ard_3-0-0_099068_2009-12-03_final
2010-06-18 10:19:30	ga_ls5t_ard_3-0-0_102070_2010-06-18_final
2010-09-09 09:17:54	ga_ls5t_ard_3-0-0_091087_2010-09-08_final
2011-02-05 11:07:04	ga_ls5t_ard_3-0-0_110067_2011-02-05_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