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

45 results

Time (local)	Label
1987-11-26 10:01:31	ga_ls5t_ard_3-0-0_102081_1987-11-26_final
1988-06-08 08:59:24	ga_ls5t_ard_3-0-0_091090_1988-06-07_final
1988-07-19 10:28:17	ga_ls5t_ard_3-0-0_106080_1988-07-19_final
1988-12-12 10:12:01	ga_ls5t_ard_3-0-0_104071_1988-12-12_final
1989-01-03 09:37:40	ga_ls5t_ard_3-0-0_098078_1989-01-03_final
1989-08-15 11:12:56	ga_ls5t_ard_3-0-0_114078_1989-08-15_final
1989-12-12 09:36:41	ga_ls5t_ard_3-0-0_099077_1989-12-12_final
1991-02-28 10:53:18	ga_ls5t_ard_3-0-0_112074_1991-02-28_final
1991-04-22 09:35:07	ga_ls5t_ard_3-0-0_099077_1991-04-22_final
1991-04-22 11:13:36	ga_ls5t_ard_3-0-0_115076_1991-04-22_final
1991-05-23 08:51:38	ga_ls5t_ard_3-0-0_092075_1991-05-22_final
1991-06-24 08:56:29	ga_ls5t_ard_3-0-0_092086_1991-06-23_final
1992-02-18 09:49:37	ga_ls5t_ard_3-0-0_101077_1992-02-18_final
1992-09-03 10:47:57	ga_ls5t_ard_3-0-0_111073_1992-09-03_final
1992-12-01 10:40:15	ga_ls5t_ard_3-0-0_110072_1992-12-01_final
1993-06-08 08:34:40	ga_ls5t_ard_3-0-0_089079_1993-06-07_final
1993-07-31 08:54:38	ga_ls5t_ard_3-0-0_092083_1993-07-30_final
1994-07-14 10:54:02	ga_ls5t_ard_3-0-0_112083_1994-07-14_final
1994-11-03 10:47:16	ga_ls5t_ard_3-0-0_112074_1994-11-03_final
1995-04-15 09:34:27	ga_ls5t_ard_3-0-0_101077_1995-04-15_final
1997-08-04 10:30:54	ga_ls5t_ard_3-0-0_107070_1997-08-04_final
1997-12-25 09:54:17	ga_ls5t_ard_3-0-0_100077_1997-12-25_final
1998-07-17 10:24:17	ga_ls5t_ard_3-0-0_104082_1998-07-17_final
1999-03-14 10:19:52	ga_ls5t_ard_3-0-0_104069_1999-03-14_final
1999-03-27 09:52:43	ga_ls5t_ard_3-0-0_099079_1999-03-27_final
1999-10-29 10:40:53	ga_ls5t_ard_3-0-0_107082_1999-10-29_final
2003-07-25 10:56:29	ga_ls5t_ard_3-0-0_110074_2003-07-25_final
2003-11-27 08:50:36	ga_ls5t_ard_3-0-0_089079_2003-11-26_final
2004-02-17 10:14:47	ga_ls5t_ard_3-0-0_103072_2004-02-17_final
2004-06-19 10:00:51	ga_ls5t_ard_3-0-0_100077_2004-06-19_final
2004-06-28 09:54:57	ga_ls5t_ard_3-0-0_099077_2004-06-28_final
2004-07-30 09:52:58	ga_ls5t_ard_3-0-0_099070_2004-07-30_final
2004-12-09 11:11:15	ga_ls5t_ard_3-0-0_111073_2004-12-09_final
2005-02-16 09:51:07	ga_ls5t_ard_3-0-0_098071_2005-02-16_final
2005-03-12 09:04:49	ga_ls5t_ard_3-0-0_090078_2005-03-11_final
2005-11-23 09:06:04	ga_ls5t_ard_3-0-0_090077_2005-11-22_final
2006-06-11 09:56:40	ga_ls5t_ard_3-0-0_098070_2006-06-11_final
2006-08-21 10:07:25	ga_ls5t_ard_3-0-0_099079_2006-08-21_final
2007-04-05 10:37:16	ga_ls5t_ard_3-0-0_104073_2007-04-05_final
2007-06-16 09:47:01	ga_ls5t_ard_3-0-0_096073_2007-06-16_final
2007-08-08 10:06:34	ga_ls5t_ard_3-0-0_099077_2007-08-08_final
2008-09-19 10:49:30	ga_ls5t_ard_3-0-0_107082_2008-09-19_final
2009-02-25 10:05:25	ga_ls5t_ard_3-0-0_100077_2009-02-25_final
2009-11-08 10:09:36	ga_ls5t_ard_3-0-0_100077_2009-11-08_final
2011-04-19 11:06:13	ga_ls5t_ard_3-0-0_109081_2011-04-19_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years