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

51 results

Time (local)	Label
1987-10-12 08:53:53	ga_ls5t_ard_3-0-0_091084_1987-10-11_final
1987-12-24 10:26:15	ga_ls5t_ard_3-0-0_106080_1987-12-24_final
1988-01-17 09:33:15	ga_ls5t_ard_3-0-0_098070_1988-01-17_final
1988-03-28 09:41:09	ga_ls5t_ard_3-0-0_099072_1988-03-28_final
1988-04-07 08:42:12	ga_ls5t_ard_3-0-0_089079_1988-04-06_final
1988-04-09 10:09:31	ga_ls5t_ard_3-0-0_103081_1988-04-09_final
1988-07-31 10:51:02	ga_ls5t_ard_3-0-0_110075_1988-07-31_final
1988-11-01 10:22:48	ga_ls5t_ard_3-0-0_105082_1988-11-01_final
1988-11-22 08:59:15	ga_ls5t_ard_3-1-0_092074_1988-11-21_final
1989-06-19 09:41:21	ga_ls5t_ard_3-0-0_099078_1989-06-19_final
1989-12-11 10:31:08	ga_ls5t_ard_3-0-0_108074_1989-12-11_final
1990-04-08 09:53:46	ga_ls5t_ard_3-0-0_102082_1990-04-08_final
1990-12-28 09:05:29	ga_ls5t_ard_3-0-0_094086_1990-12-27_final
1991-05-12 09:06:47	ga_ls5t_ard_3-0-0_095067_1991-05-11_final
1991-05-30 10:36:47	ga_ls5t_ard_3-0-0_109075_1991-05-30_final
1991-07-26 08:52:07	ga_ls5t_ard_3-1-0_092074_1991-07-25_final
1992-01-04 10:21:50	ga_ls5t_ard_3-0-0_106080_1992-01-04_final
1992-02-11 09:41:04	ga_ls5t_ard_3-0-0_100071_1992-02-11_final
1993-01-13 10:23:22	ga_ls5t_ard_3-0-0_107075_1993-01-13_final
1993-07-07 09:42:30	ga_ls5t_ard_3-0-0_100079_1993-07-07_final
1994-07-17 09:41:11	ga_ls5t_ard_3-0-0_101071_1994-07-17_final
1996-01-18 08:53:52	ga_ls5t_ard_3-0-0_095082_1996-01-17_final
1996-05-06 08:32:50	ga_ls5t_ard_3-0-0_090089_1996-05-05_final
1996-10-07 09:16:15	ga_ls5t_ard_3-0-0_096084_1996-10-06_final
1998-03-08 09:46:24	ga_ls5t_ard_3-0-0_099069_1998-03-08_final
1998-07-04 10:52:14	ga_ls5t_ard_3-0-0_109075_1998-07-04_final
1998-07-29 10:46:17	ga_ls5t_ard_3-0-0_108075_1998-07-29_final
1999-02-17 10:26:16	ga_ls5t_ard_3-0-0_105069_1999-02-17_final
1999-02-24 10:32:02	ga_ls5t_ard_3-0-0_106068_1999-02-24_final
1999-03-06 09:29:44	ga_ls5t_ard_3-1-0_096067_1999-03-05_final
2003-07-03 09:55:30	ga_ls5t_ard_3-0-0_100077_2003-07-03_final
2003-07-22 10:25:56	ga_ls5t_ard_3-0-0_105075_2003-07-22_final
2003-08-20 09:56:20	ga_ls5t_ard_3-1-0_100077_2003-08-20_final
2003-09-09 11:09:40	ga_ls5t_ard_3-0-0_112074_2003-09-09_final
2003-09-11 10:57:20	ga_ls5t_ard_3-0-0_110074_2003-09-11_final
2004-01-21 10:34:23	ga_ls5t_ard_3-0-0_106075_2004-01-21_final
2004-08-14 09:11:37	ga_ls5t_ard_3-1-0_092074_2004-08-13_final
2005-11-26 11:18:43	ga_ls5t_ard_3-0-0_111084_2005-11-26_final
2006-05-08 10:08:56	ga_ls5t_ard_3-0-0_100071_2006-05-08_final
2006-06-28 10:42:11	ga_ls5t_ard_3-0-0_105075_2006-06-28_final
2007-01-06 10:44:38	ga_ls5t_ard_3-0-0_105076_2007-01-06_final
2007-04-18 10:08:18	ga_ls5t_ard_3-0-0_099078_2007-04-18_final
2007-06-27 11:08:44	ga_ls5t_ard_3-0-0_109077_2007-06-27_final
2007-06-29 10:55:32	ga_ls5t_ard_3-0-0_107075_2007-06-29_final
2007-08-17 10:00:42	ga_ls5t_ard_3-0-0_098078_2007-08-17_final
2009-01-06 10:14:05	ga_ls5t_ard_3-0-0_102071_2009-01-06_final
2009-06-30 09:33:00	ga_ls5t_ard_3-0-0_095067_2009-06-30_final
2009-10-21 10:18:37	ga_ls5t_ard_3-0-0_102069_2009-10-21_final
2010-02-23 11:32:58	ga_ls5t_ard_3-0-0_113083_2010-02-23_final
2010-09-05 09:41:50	ga_ls5t_ard_3-0-0_095085_2010-09-05_final
2011-09-28 09:11:57	ga_ls5t_ard_3-0-0_091077_2011-09-27_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