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
1988-03-27 10:37:58	ga_ls5t_ard_3-0-0_108075_1988-03-27_final
1988-06-08 08:59:24	ga_ls5t_ard_3-0-0_091090_1988-06-07_final
1988-12-25 09:40:14	ga_ls5t_ard_3-0-0_099069_1988-12-25_final
1989-04-25 09:38:35	ga_ls5t_ard_3-0-0_098084_1989-04-25_final
1990-08-21 09:59:46	ga_ls5t_ard_3-0-0_103082_1990-08-21_final
1990-10-06 08:31:40	ga_ls5t_ard_3-0-0_089079_1990-10-05_final
1990-10-12 09:33:55	ga_ls5t_ard_3-0-0_099080_1990-10-12_final
1990-11-14 08:40:35	ga_ls5t_ard_3-0-0_090086_1990-11-13_final
1990-11-29 09:28:24	ga_ls5t_ard_3-0-0_099067_1990-11-28_final
1991-06-09 09:36:19	ga_ls5t_ard_3-0-0_099078_1991-06-09_final
1991-06-24 08:56:52	ga_ls5t_ard_3-0-0_092087_1991-06-23_final
1991-07-27 09:37:23	ga_ls5t_ard_3-0-0_099079_1991-07-27_final
1991-08-26 09:49:07	ga_ls5t_ard_3-0-0_101077_1991-08-26_final
1991-12-03 08:45:32	ga_ls5t_ard_3-0-0_090086_1991-12-02_final
1992-03-06 08:58:25	ga_ls5t_ard_3-0-0_092088_1992-03-05_final
1992-05-30 09:11:10	ga_ls5t_ard_3-0-0_095075_1992-05-29_final
1992-09-15 11:13:43	ga_ls5t_ard_3-0-0_115076_1992-09-15_final
1993-11-02 09:03:06	ga_ls5t_ard_3-0-0_094074_1993-11-01_final
1994-01-24 09:35:12	ga_ls5t_ard_3-0-0_099079_1994-01-24_final
1994-05-19 08:25:48	ga_ls5t_ard_3-1-0_088080_1994-05-18_final
1994-07-09 10:32:02	ga_ls5t_ard_3-0-0_109074_1994-07-09_final
1994-09-26 09:49:31	ga_ls5t_ard_3-0-0_102081_1994-09-26_final
1994-10-26 09:55:44	ga_ls5t_ard_3-0-0_104068_1994-10-26_final
1994-12-05 09:06:09	ga_ls5t_ard_3-0-0_096071_1994-12-04_final
1996-06-22 11:05:58	ga_ls5t_ard_3-1-0_115079_1996-06-22_final
1997-12-18 09:44:46	ga_ls5t_ard_3-0-0_099069_1997-12-18_final
1998-06-12 09:48:10	ga_ls5t_ard_3-0-0_099070_1998-06-12_final
1998-07-18 11:07:09	ga_ls5t_ard_3-0-0_111081_1998-07-18_final
2003-07-29 08:57:45	ga_ls5t_ard_3-0-0_090086_2003-07-28_final
2003-09-06 09:04:12	ga_ls5t_ard_3-0-0_091085_2003-09-05_final
2004-07-20 10:56:33	ga_ls5t_ard_3-0-0_109075_2004-07-20_final
2004-08-07 09:07:15	ga_ls5t_ard_3-0-0_091079_2004-08-06_final
2004-09-17 10:36:40	ga_ls5t_ard_3-0-0_106068_2004-09-17_final
2004-10-26 09:08:48	ga_ls5t_ard_3-0-0_091078_2004-10-25_final
2004-12-06 09:08:11	ga_ls5t_ard_3-1-0_090090_2004-12-05_final
2005-07-29 10:23:44	ga_ls5t_ard_3-0-0_103072_2005-07-29_final
2005-09-19 11:40:32	ga_ls5t_ard_3-0-0_115078_2005-09-19_final
2006-06-17 10:58:57	ga_ls5t_ard_3-0-0_108071_2006-06-17_final
2006-07-04 10:06:47	ga_ls5t_ard_3-0-0_099079_2006-07-04_final
2006-10-09 09:16:46	ga_ls5t_ard_3-0-0_090090_2006-10-08_final
2006-11-18 10:04:11	ga_ls5t_ard_3-0-0_098084_2006-11-18_final
2007-01-22 09:06:39	ga_ls5t_ard_3-0-0_089078_2007-01-21_final
2008-01-27 10:25:10	ga_ls5t_ard_3-0-0_103068_2008-01-27_final
2008-12-06 09:23:59	ga_ls5t_ard_3-0-0_093087_2008-12-05_final
2009-01-11 08:57:04	ga_ls5t_ard_3-0-0_089079_2009-01-10_final
2009-09-14 09:58:52	ga_ls5t_ard_3-0-0_099067_2009-09-14_final
2009-09-25 09:47:15	ga_ls5t_ard_3-0-0_096084_2009-09-25_final
2009-11-17 11:43:10	ga_ls5t_ard_3-0-0_115079_2009-11-17_final
2009-11-30 11:09:35	ga_ls5t_ard_3-0-0_110072_2009-11-30_final
2010-08-05 10:19:15	ga_ls5t_ard_3-0-0_102070_2010-08-05_final
2010-10-19 10:03:26	ga_ls5t_ard_3-0-0_099078_2010-10-19_final
2010-11-13 09:56:43	ga_ls5t_ard_3-0-0_098077_2010-11-13_final
2010-11-20 11:42:36	ga_ls5t_ard_3-1-0_115079_2010-11-20_final
2010-12-27 10:23:33	ga_ls5t_ard_3-0-0_102082_2010-12-27_final
2011-09-02 10:14:09	ga_ls5t_ard_3-0-0_101077_2011-09-02_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