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
1986-09-12 10:40:09	ga_ls5t_ard_3-0-0_110073_1986-09-12_final
1987-12-19 10:08:02	ga_ls5t_ard_3-0-0_103081_1987-12-19_final
1987-12-24 08:49:46	ga_ls5t_ard_3-0-0_090086_1987-12-23_final
1988-02-29 09:20:34	ga_ls5t_ard_3-0-0_095083_1988-02-28_final
1988-08-23 09:15:10	ga_ls5t_ard_3-0-0_095067_1988-08-22_final
1988-10-23 10:28:55	ga_ls5t_ard_3-0-0_106082_1988-10-23_final
1989-02-27 11:22:13	ga_ls5t_ard_3-0-0_115078_1989-02-27_final
1989-03-23 08:57:00	ga_ls5t_ard_3-0-0_091088_1989-03-22_final
1989-04-02 11:11:05	ga_ls5t_ard_3-0-0_113083_1989-04-02_final
1989-04-14 09:56:35	ga_ls5t_ard_3-0-0_101082_1989-04-14_final
1991-02-27 10:07:39	ga_ls5t_ard_3-0-0_105068_1991-02-27_final
1991-04-30 08:50:14	ga_ls5t_ard_3-0-0_091088_1991-04-29_final
1991-05-23 10:32:31	ga_ls5t_ard_3-0-0_108080_1991-05-23_final
1991-12-24 09:04:22	ga_ls5t_ard_3-0-0_093087_1991-12-23_final
1992-02-01 10:43:26	ga_ls5t_ard_3-0-0_110072_1992-02-01_final
1992-06-06 09:19:16	ga_ls5t_ard_3-0-0_096080_1992-06-05_final
1992-09-24 09:25:16	ga_ls5t_ard_3-0-0_098068_1992-09-23_final
1993-03-10 09:32:53	ga_ls5t_ard_3-0-0_099071_1993-03-10_final
1993-04-28 10:15:13	ga_ls5t_ard_3-0-0_106068_1993-04-28_final
1993-12-18 10:54:02	ga_ls5t_ard_3-0-0_112074_1993-12-18_final
1994-08-04 09:28:42	ga_ls5t_ard_3-0-0_099072_1994-08-03_final
1994-10-03 09:55:29	ga_ls5t_ard_3-0-0_103081_1994-10-03_final
1994-10-29 08:55:13	ga_ls5t_ard_3-0-0_093087_1994-10-28_final
1994-12-20 08:25:37	ga_ls5t_ard_3-0-0_089079_1994-12-19_final
1995-01-11 09:26:40	ga_ls5t_ard_3-0-0_099079_1995-01-10_final
1995-01-31 10:38:04	ga_ls5t_ard_3-0-0_111074_1995-01-31_final
1995-02-07 09:02:17	ga_ls5t_ard_3-0-0_096067_1995-02-06_final
1995-03-10 09:59:27	ga_ls5t_ard_3-0-0_105074_1995-03-10_final
1995-03-11 09:03:47	ga_ls5t_ard_3-0-0_096074_1995-03-10_final
1995-05-10 09:27:09	ga_ls5t_ard_3-0-0_100077_1995-05-09_final
1995-07-31 09:07:52	ga_ls5t_ard_3-0-0_098069_1995-07-30_final
1995-11-21 09:49:02	ga_ls5t_ard_3-0-0_105075_1995-11-21_final
1995-12-26 10:22:09	ga_ls5t_ard_3-0-0_110075_1995-12-26_final
1996-05-21 09:24:32	ga_ls5t_ard_3-0-0_099077_1996-05-20_final
1996-07-24 09:28:22	ga_ls5t_ard_3-0-0_099078_1996-07-23_final
1996-10-13 08:40:17	ga_ls5t_ard_3-0-0_090086_1996-10-12_final
1996-12-22 09:41:50	ga_ls5t_ard_3-0-0_100077_1996-12-22_final
1998-07-08 10:27:11	ga_ls5t_ard_3-0-0_105074_1998-07-08_final
1999-03-28 10:31:34	ga_ls5t_ard_3-0-0_106068_1999-03-28_final
1999-05-10 10:18:01	ga_ls5t_ard_3-0-0_103081_1999-05-10_final
1999-09-03 09:51:03	ga_ls5t_ard_3-0-0_099079_1999-09-03_final
2003-10-02 11:16:10	ga_ls5t_ard_3-0-0_113074_2003-10-02_final
2003-12-13 10:27:33	ga_ls5t_ard_3-0-0_105074_2003-12-13_final
2004-01-05 10:34:20	ga_ls5t_ard_3-0-0_106075_2004-01-05_final
2004-07-05 09:58:56	ga_ls5t_ard_3-0-0_100071_2004-07-05_final
2005-05-08 10:36:39	ga_ls5t_ard_3-0-0_105075_2005-05-08_final
2005-10-04 10:59:13	ga_ls5t_ard_3-0-0_108083_2005-10-04_final
2005-10-15 10:37:51	ga_ls5t_ard_3-0-0_105076_2005-10-15_final
2006-04-24 11:38:51	ga_ls5t_ard_3-0-0_114080_2006-04-24_final
2006-05-21 11:18:16	ga_ls5t_ard_3-0-0_111074_2006-05-21_final
2006-09-28 11:08:05	ga_ls5t_ard_3-0-0_109075_2006-09-28_final
2007-07-23 10:06:43	ga_ls5t_ard_3-0-0_099077_2007-07-23_final
2008-09-11 09:55:55	ga_ls5t_ard_3-0-0_099071_2008-09-11_final
2009-01-03 11:20:24	ga_ls5t_ard_3-0-0_113067_2009-01-03_final
2010-12-27 10:23:33	ga_ls5t_ard_3-0-0_102082_2010-12-27_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