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

44 results

Time (local)	Label
1986-08-21 09:41:08	ga_ls5t_ard_3-0-0_100078_1986-08-21_final
1987-09-12 08:38:29	ga_ls5t_ard_3-0-0_089078_1987-09-11_final
1987-10-11 09:46:18	ga_ls5t_ard_3-0-0_100076_1987-10-11_final
1988-04-11 09:55:34	ga_ls5t_ard_3-0-0_101077_1988-04-11_final
1988-06-30 09:56:08	ga_ls5t_ard_3-0-0_101077_1988-06-30_final
1988-07-09 09:50:46	ga_ls5t_ard_3-0-0_100079_1988-07-09_final
1989-11-03 09:31:38	ga_ls5t_ard_3-0-0_098077_1989-11-03_final
1990-04-27 10:21:56	ga_ls5t_ard_3-0-0_107075_1990-04-27_final
1991-01-18 10:58:47	ga_ls5t_ard_3-0-0_113074_1991-01-18_final
1991-02-17 09:34:47	ga_ls5t_ard_3-0-0_099079_1991-02-17_final
1991-02-21 09:05:20	ga_ls5t_ard_3-0-0_095067_1991-02-20_final
1991-04-10 10:47:31	ga_ls5t_ard_3-0-0_111073_1991-04-10_final
1991-06-17 10:24:37	ga_ls5t_ard_3-0-0_107075_1991-06-17_final
1991-07-21 10:13:12	ga_ls5t_ard_3-0-0_105076_1991-07-21_final
1992-09-07 10:23:59	ga_ls5t_ard_3-0-0_107075_1992-09-07_final
1993-11-04 10:31:12	ga_ls5t_ard_3-0-0_108078_1993-11-04_final
1994-06-24 09:38:25	ga_ls5t_ard_3-0-0_100078_1994-06-24_final
1994-06-25 10:20:27	ga_ls5t_ard_3-0-0_107075_1994-06-25_final
1995-06-04 09:19:49	ga_ls5t_ard_3-0-0_099077_1995-06-03_final
1995-06-05 08:28:32	ga_ls5t_ard_3-0-0_090088_1995-06-04_final
1995-12-08 08:52:41	ga_ls5t_ard_3-0-0_096071_1995-12-07_final
1996-01-14 09:17:07	ga_ls5t_ard_3-0-0_099079_1996-01-13_final
1996-05-05 09:24:24	ga_ls5t_ard_3-0-0_099079_1996-05-04_final
1996-06-07 10:07:57	ga_ls5t_ard_3-0-0_106075_1996-06-07_final
1996-06-26 10:39:04	ga_ls5t_ard_3-0-0_111073_1996-06-26_final
1996-07-08 09:27:55	ga_ls5t_ard_3-0-0_099079_1996-07-07_final
1997-02-02 08:43:34	ga_ls5t_ard_3-0-0_090081_1997-02-01_final
1997-02-17 09:39:03	ga_ls5t_ard_3-0-0_099079_1997-02-17_final
1997-03-30 09:34:04	ga_ls5t_ard_3-0-0_098078_1997-03-30_final
1997-09-29 09:45:55	ga_ls5t_ard_3-0-0_099077_1997-09-29_final
1998-06-01 10:10:57	ga_ls5t_ard_3-0-0_102081_1998-06-01_final
1998-08-04 10:11:37	ga_ls5t_ard_3-0-0_102081_1998-08-04_final
1999-02-13 09:14:52	ga_ls5t_ard_3-0-0_093076_1999-02-12_final
1999-06-22 09:57:12	ga_ls5t_ard_3-0-0_100077_1999-06-22_final
1999-10-29 08:59:12	ga_ls5t_ard_3-1-0_091075_1999-10-28_final
2003-11-17 09:51:50	ga_ls5t_ard_3-0-0_099078_2003-11-17_final
2004-06-29 10:37:51	ga_ls5t_ard_3-0-0_106076_2004-06-29_final
2004-07-29 09:16:52	ga_ls5t_ard_3-0-0_092088_2004-07-28_final
2004-11-23 09:31:36	ga_ls5t_ard_3-0-0_095072_2004-11-23_final
2005-03-11 10:00:26	ga_ls5t_ard_3-0-0_099078_2005-03-11_final
2006-03-15 09:08:36	ga_ls5t_ard_3-0-0_090077_2006-03-14_final
2008-03-28 09:53:30	ga_ls5t_ard_3-0-0_098069_2008-03-28_final
2009-08-05 09:12:03	ga_ls5t_ard_3-1-0_091075_2009-08-04_final
2009-10-10 09:04:33	ga_ls5t_ard_3-0-0_089085_2009-10-09_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