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

50 results

Time (local)	Label
1988-07-09 09:50:46	ga_ls5t_ard_3-0-0_100079_1988-07-09_final
1989-02-18 09:49:16	ga_ls5t_ard_3-0-0_100077_1989-02-18_final
1989-05-09 09:47:59	ga_ls5t_ard_3-0-0_100077_1989-05-09_final
1989-10-18 09:27:58	ga_ls5t_ard_3-1-0_098067_1989-10-17_final
1990-07-16 08:48:58	ga_ls5t_ard_3-0-0_091090_1990-07-15_final
1991-02-02 08:38:03	ga_ls5t_ard_3-0-0_090077_1991-02-01_final
1991-03-18 08:59:40	ga_ls5t_ard_3-0-0_094067_1991-03-17_final
1991-06-04 10:55:01	ga_ls5t_ard_3-0-0_112074_1991-06-04_final
1991-07-24 09:01:40	ga_ls5t_ard_3-0-0_094067_1991-07-23_final
1991-07-28 08:42:34	ga_ls5t_ard_3-0-0_090081_1991-07-27_final
1992-08-26 10:01:02	ga_ls5t_ard_3-0-0_103079_1992-08-26_final
1993-05-10 09:00:42	ga_ls5t_ard_3-0-0_094067_1993-05-09_final
1993-10-03 08:48:08	ga_ls5t_ard_3-0-0_092067_1993-10-02_final
1994-03-05 08:49:37	ga_ls5t_ard_3-0-0_091090_1994-03-04_final
1994-07-25 10:34:47	ga_ls5t_ard_3-0-0_109082_1994-07-25_final
1995-06-24 10:35:52	ga_ls5t_ard_3-0-0_111084_1995-06-24_final
1996-09-23 08:56:22	ga_ls5t_ard_3-0-0_094067_1996-09-22_final
1996-10-18 10:33:10	ga_ls5t_ard_3-0-0_109074_1996-10-18_final
1996-12-22 09:41:50	ga_ls5t_ard_3-0-0_100077_1996-12-22_final
1997-03-02 10:45:34	ga_ls5t_ard_3-0-0_110074_1997-03-02_final
1997-03-28 09:45:57	ga_ls5t_ard_3-0-0_100077_1997-03-28_final
1997-08-12 09:44:30	ga_ls5t_ard_3-0-0_099077_1997-08-12_final
1997-11-23 09:53:30	ga_ls5t_ard_3-0-0_100077_1997-11-23_final
1997-12-19 10:28:50	ga_ls5t_ard_3-0-0_106071_1997-12-19_final
1998-04-13 11:05:02	ga_ls5t_ard_3-0-0_111079_1998-04-13_final
1998-04-15 10:50:42	ga_ls5t_ard_3-0-0_109074_1998-04-15_final
1998-08-12 10:58:21	ga_ls5t_ard_3-1-0_110074_1998-08-12_final
1998-08-29 10:03:19	ga_ls5t_ard_3-0-0_101075_1998-08-29_final
1999-05-05 09:57:57	ga_ls5t_ard_3-0-0_100077_1999-05-05_final
1999-05-27 10:58:04	ga_ls5t_ard_3-1-0_110074_1999-05-27_final
1999-07-23 10:51:28	ga_ls5t_ard_3-0-0_109074_1999-07-23_final
1999-08-29 11:12:46	ga_ls5t_ard_3-0-0_112082_1999-08-29_final
1999-12-09 08:54:12	ga_ls5t_ard_3-0-0_090081_1999-12-08_final
2003-07-25 09:22:00	ga_ls5t_ard_3-0-0_094085_2003-07-24_final
2004-04-26 10:35:34	ga_ls5t_ard_3-0-0_106075_2004-04-26_final
2004-07-11 09:20:26	ga_ls5t_ard_3-0-0_094067_2004-07-10_final
2004-08-12 11:02:49	ga_ls5t_ard_3-1-0_110074_2004-08-12_final
2004-10-26 10:46:53	ga_ls5t_ard_3-0-0_107076_2004-10-26_final
2004-11-26 10:04:35	ga_ls5t_ard_3-0-0_100077_2004-11-26_final
2005-07-09 10:49:50	ga_ls5t_ard_3-0-0_107076_2005-07-09_final
2007-05-01 09:32:54	ga_ls5t_ard_3-0-0_094067_2007-05-01_final
2007-05-14 10:43:56	ga_ls5t_ard_3-0-0_105075_2007-05-14_final
2007-05-17 09:32:44	ga_ls5t_ard_3-0-0_094067_2007-05-17_final
2007-05-27 10:13:40	ga_ls5t_ard_3-0-0_100077_2007-05-27_final
2008-09-26 10:52:16	ga_ls5t_ard_3-0-0_108074_2008-09-26_final
2009-02-27 09:55:54	ga_ls5t_ard_3-0-0_098084_2009-02-27_final
2009-03-21 10:54:13	ga_ls5t_ard_3-0-0_108074_2009-03-21_final
2010-04-03 09:55:52	ga_ls5t_ard_3-0-0_098072_2010-04-03_final
2010-05-14 09:48:21	ga_ls5t_ard_3-1-0_097069_2010-05-14_final
2010-12-29 10:09:12	ga_ls5t_ard_3-0-0_100077_2010-12-29_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