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

53 results

Time (local)	Label
1987-11-12 09:47:18	ga_ls5t_ard_3-0-0_100077_1987-11-12_final
1988-01-12 10:58:17	ga_ls5t_ard_3-0-0_111082_1988-01-12_final
1988-04-28 10:37:43	ga_ls5t_ard_3-0-0_108074_1988-04-28_final
1988-06-10 08:44:39	ga_ls5t_ard_3-0-0_089084_1988-06-09_final
1988-12-08 10:37:59	ga_ls5t_ard_3-0-0_108074_1988-12-08_final
1989-06-04 10:22:14	ga_ls5t_ard_3-0-0_106071_1989-06-04_final
1989-07-04 10:38:45	ga_ls5t_ard_3-0-0_108083_1989-07-04_final
1990-07-30 10:34:34	ga_ls5t_ard_3-0-0_109076_1990-07-30_final
1991-08-04 10:26:27	ga_ls5t_ard_3-0-0_107078_1991-08-04_final
1991-10-15 09:39:39	ga_ls5t_ard_3-0-0_099083_1991-10-15_final
1991-12-04 09:26:25	ga_ls5t_ard_3-0-0_097080_1991-12-03_final
1992-04-18 10:13:21	ga_ls5t_ard_3-0-0_105075_1992-04-18_final
1992-11-24 08:58:15	ga_ls5t_ard_3-0-0_093080_1992-11-23_final
1992-12-19 10:29:16	ga_ls5t_ard_3-0-0_108075_1992-12-19_final
1993-04-02 09:41:31	ga_ls5t_ard_3-0-0_100077_1993-04-02_final
1993-12-02 09:20:03	ga_ls5t_ard_3-0-0_096086_1993-12-01_final
1994-04-09 10:49:39	ga_ls5t_ard_3-1-0_112067_1994-04-09_final
1995-11-12 08:20:32	ga_ls5t_ard_3-0-0_090086_1995-11-11_final
1997-03-25 10:52:38	ga_ls5t_ard_3-0-0_111074_1997-03-25_final
1997-05-14 09:04:45	ga_ls5t_ard_3-0-0_093078_1997-05-13_final
1997-10-11 10:12:34	ga_ls5t_ard_3-0-0_103081_1997-10-11_final
1997-11-23 09:53:30	ga_ls5t_ard_3-0-0_100077_1997-11-23_final
1998-02-10 10:49:45	ga_ls5t_ard_3-0-0_109074_1998-02-10_final
1998-03-02 08:48:29	ga_ls5t_ard_3-0-0_089079_1998-03-01_final
1998-03-05 10:56:19	ga_ls5t_ard_3-0-0_110074_1998-03-05_final
1998-09-13 10:58:39	ga_ls5t_ard_3-0-0_110074_1998-09-13_final
1998-11-07 11:09:02	ga_ls5t_ard_3-0-0_111084_1998-11-07_final
1999-08-24 10:51:10	ga_ls5t_ard_3-0-0_109074_1999-08-24_final
2004-09-19 10:29:57	ga_ls5t_ard_3-0-0_104082_2004-09-19_final
2005-03-31 11:12:45	ga_ls5t_ard_3-0-0_111073_2005-03-31_final
2005-04-11 10:54:39	ga_ls5t_ard_3-0-0_108074_2005-04-11_final
2005-09-25 11:02:14	ga_ls5t_ard_3-0-0_109075_2005-09-25_final
2005-11-02 10:23:55	ga_ls5t_ard_3-0-0_103072_2005-11-02_final
2006-07-05 10:50:27	ga_ls5t_ard_3-0-0_106080_2006-07-05_final
2006-07-19 11:00:37	ga_ls5t_ard_3-0-0_108074_2006-07-19_final
2006-08-03 10:21:09	ga_ls5t_ard_3-0-0_101083_2006-08-03_final
2006-09-06 10:07:13	ga_ls5t_ard_3-0-0_099078_2006-09-06_final
2006-10-23 11:01:46	ga_ls5t_ard_3-0-0_108074_2006-10-23_final
2006-10-25 09:16:31	ga_ls5t_ard_3-0-0_090089_2006-10-24_final
2008-09-11 09:58:42	ga_ls5t_ard_3-0-0_099078_2008-09-11_final
2008-10-04 10:03:45	ga_ls5t_ard_3-0-0_100077_2008-10-04_final
2008-10-05 10:46:11	ga_ls5t_ard_3-0-0_107075_2008-10-05_final
2008-10-24 09:41:10	ga_ls5t_ard_3-0-0_096084_2008-10-24_final
2009-03-29 10:03:45	ga_ls5t_ard_3-0-0_100071_2009-03-29_final
2009-03-29 10:06:09	ga_ls5t_ard_3-0-0_100077_2009-03-29_final
2009-04-14 10:06:28	ga_ls5t_ard_3-0-0_100077_2009-04-14_final
2009-09-13 09:24:22	ga_ls5t_ard_3-0-0_092089_2009-09-12_final
2009-09-13 10:57:16	ga_ls5t_ard_3-0-0_108074_2009-09-13_final
2010-02-03 10:16:45	ga_ls5t_ard_3-0-0_101078_2010-02-03_final
2010-04-28 11:32:52	ga_ls5t_ard_3-0-0_113083_2010-04-28_final
2010-05-05 09:54:34	ga_ls5t_ard_3-0-0_098069_2010-05-05_final
2010-09-27 10:36:44	ga_ls5t_ard_3-0-0_105068_2010-09-27_final
2010-12-30 10:51:40	ga_ls5t_ard_3-0-0_107075_2010-12-30_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