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

57 results

Time (local)	Label
1987-11-09 10:53:38	ga_ls5t_ard_3-0-0_111073_1987-11-09_final
1988-03-17 09:58:48	ga_ls5t_ard_3-0-0_102070_1988-03-17_final
1988-06-23 09:49:54	ga_ls5t_ard_3-0-0_100077_1988-06-23_final
1988-12-25 09:43:26	ga_ls5t_ard_3-0-0_099077_1988-12-25_final
1988-12-31 10:45:14	ga_ls5t_ard_3-0-0_109077_1988-12-31_final
1990-02-22 10:23:51	ga_ls5t_ard_3-0-0_107077_1990-02-22_final
1990-04-09 09:00:09	ga_ls5t_ard_3-0-0_093087_1990-04-08_final
1990-06-07 08:39:16	ga_ls5t_ard_3-0-0_090081_1990-06-06_final
1991-01-03 10:02:19	ga_ls5t_ard_3-1-0_104073_1991-01-03_final
1991-05-30 10:36:47	ga_ls5t_ard_3-0-0_109075_1991-05-30_final
1991-12-29 11:00:35	ga_ls5t_ard_3-0-0_112084_1991-12-29_final
1992-07-05 08:46:00	ga_ls5t_ard_3-1-0_091075_1992-07-04_final
1993-01-12 09:40:54	ga_ls5t_ard_3-0-0_100077_1993-01-12_final
1993-03-23 10:44:51	ga_ls5t_ard_3-0-0_110081_1993-03-23_final
1993-05-14 10:16:04	ga_ls5t_ard_3-0-0_106070_1993-05-14_final
1993-08-08 09:41:41	ga_ls5t_ard_3-0-0_100077_1993-08-08_final
1993-12-12 09:55:05	ga_ls5t_ard_3-0-0_102081_1993-12-12_final
1994-05-04 10:45:49	ga_ls5t_ard_3-0-0_111074_1994-05-04_final
1995-01-08 10:33:33	ga_ls5t_ard_3-0-0_110076_1995-01-08_final
1995-01-27 11:04:32	ga_ls5t_ard_3-0-0_115078_1995-01-27_final
1995-05-26 09:26:25	ga_ls5t_ard_3-0-0_100077_1995-05-25_final
1996-09-16 10:31:30	ga_ls5t_ard_3-0-0_109074_1996-09-16_final
1997-11-17 08:55:09	ga_ls5t_ard_3-0-0_090086_1997-11-16_final
1998-02-10 10:49:45	ga_ls5t_ard_3-0-0_109074_1998-02-10_final
1998-02-26 09:11:57	ga_ls5t_ard_3-0-0_093076_1998-02-25_final
1998-09-06 10:52:25	ga_ls5t_ard_3-0-0_109074_1998-09-06_final
1998-10-25 09:58:33	ga_ls5t_ard_3-0-0_100078_1998-10-25_final
1998-12-16 11:12:25	ga_ls5t_ard_3-0-0_112077_1998-12-16_final
1999-04-04 10:42:51	ga_ls5t_ard_3-0-0_107081_1999-04-04_final
1999-07-23 09:17:46	ga_ls5t_ard_3-0-0_093087_1999-07-22_final
1999-07-25 10:41:53	ga_ls5t_ard_3-0-0_107081_1999-07-25_final
1999-08-08 10:51:24	ga_ls5t_ard_3-0-0_109074_1999-08-08_final
2003-07-04 09:04:42	ga_ls5t_ard_3-0-0_091089_2003-07-03_final
2003-10-22 10:51:43	ga_ls5t_ard_3-0-0_109074_2003-10-22_final
2003-10-24 10:40:10	ga_ls5t_ard_3-0-0_107076_2003-10-24_final
2003-12-16 09:16:49	ga_ls5t_ard_3-0-0_094067_2003-12-15_final
2003-12-28 09:45:39	ga_ls5t_ard_3-0-0_098077_2003-12-28_final
2004-01-05 10:34:20	ga_ls5t_ard_3-0-0_106075_2004-01-05_final
2004-01-12 10:40:56	ga_ls5t_ard_3-0-0_107076_2004-01-12_final
2004-02-16 09:36:42	ga_ls5t_ard_3-0-0_096085_2004-02-16_final
2004-03-05 10:58:31	ga_ls5t_ard_3-0-0_110073_2004-03-05_final
2004-07-06 10:44:14	ga_ls5t_ard_3-0-0_107076_2004-07-06_final
2004-07-22 10:44:38	ga_ls5t_ard_3-0-0_107076_2004-07-22_final
2004-08-21 10:56:53	ga_ls5t_ard_3-0-0_109074_2004-08-21_final
2004-11-25 10:58:59	ga_ls5t_ard_3-0-0_109074_2004-11-25_final
2005-01-16 10:33:08	ga_ls5t_ard_3-0-0_105069_2005-01-16_final
2005-05-06 10:49:24	ga_ls5t_ard_3-0-0_107076_2005-05-06_final
2005-06-20 10:18:26	ga_ls5t_ard_3-0-0_102075_2005-06-20_final
2006-02-18 10:54:45	ga_ls5t_ard_3-0-0_107081_2006-02-18_final
2006-08-13 10:57:33	ga_ls5t_ard_3-0-0_107081_2006-08-13_final
2006-08-20 11:01:01	ga_ls5t_ard_3-0-0_108074_2006-08-20_final
2006-12-20 10:02:03	ga_ls5t_ard_3-0-0_098078_2006-12-20_final
2007-03-25 09:20:34	ga_ls5t_ard_3-0-0_091082_2007-03-24_final
2007-03-25 10:59:03	ga_ls5t_ard_3-0-0_107081_2007-03-25_final
2008-07-22 09:24:52	ga_ls5t_ard_3-0-0_094067_2008-07-21_final
2010-11-03 10:57:22	ga_ls5t_ard_3-0-0_108074_2010-11-03_final
2010-12-31 09:56:50	ga_ls5t_ard_3-0-0_098077_2010-12-31_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