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
1988-10-31 11:12:26	ga_ls5t_ard_3-1-0_114067_1988-10-31_final
1989-04-11 09:19:44	ga_ls5t_ard_3-0-0_096067_1989-04-10_final
1989-07-23 09:24:47	ga_ls5t_ard_3-0-0_097069_1989-07-22_final
1990-07-09 10:17:42	ga_ls5t_ard_3-0-0_106080_1990-07-09_final
1990-08-03 08:31:19	ga_ls5t_ard_3-1-0_089077_1990-08-02_final
1990-08-26 10:17:28	ga_ls5t_ard_3-0-0_106080_1990-08-26_final
1990-10-27 08:48:57	ga_ls5t_ard_3-0-0_092076_1990-10-26_final
1992-01-18 10:31:48	ga_ls5t_ard_3-0-0_108074_1992-01-18_final
1992-03-27 09:10:28	ga_ls5t_ard_3-0-0_095072_1992-03-26_final
1992-09-14 08:51:11	ga_ls5t_ard_3-0-0_092075_1992-09-13_final
1993-02-17 09:19:20	ga_ls5t_ard_3-0-0_096084_1993-02-16_final
1993-02-22 09:34:41	ga_ls5t_ard_3-0-0_099076_1993-02-22_final
1993-04-07 10:01:40	ga_ls5t_ard_3-0-0_103081_1993-04-07_final
1993-04-12 10:21:04	ga_ls5t_ard_3-0-0_106083_1993-04-12_final
1993-04-27 09:35:57	ga_ls5t_ard_3-0-0_099078_1993-04-27_final
1993-06-18 09:06:55	ga_ls5t_ard_3-0-0_095067_1993-06-17_final
1993-08-21 09:06:47	ga_ls5t_ard_3-1-0_095067_1993-08-20_final
1993-10-08 09:06:39	ga_ls5t_ard_3-0-0_095067_1993-10-07_final
1994-01-23 10:28:50	ga_ls5t_ard_3-1-0_108074_1994-01-23_final
1994-06-16 08:53:33	ga_ls5t_ard_3-0-0_092089_1994-06-15_final
1994-11-03 09:05:35	ga_ls5t_ard_3-0-0_096067_1994-11-02_final
1994-12-09 10:20:59	ga_ls5t_ard_3-0-0_108073_1994-12-09_final
1995-02-09 10:31:07	ga_ls5t_ard_3-0-0_110073_1995-02-09_final
1995-08-11 08:48:02	ga_ls5t_ard_3-0-0_095067_1995-08-10_final
1995-09-17 10:46:29	ga_ls5t_ard_3-0-0_114074_1995-09-17_final
1995-11-27 09:13:44	ga_ls5t_ard_3-0-0_099079_1995-11-26_final
1996-04-27 10:12:34	ga_ls5t_ard_3-0-0_107077_1996-04-27_final
1996-08-25 09:26:52	ga_ls5t_ard_3-0-0_099070_1996-08-24_final
1997-01-22 10:36:56	ga_ls5t_ard_3-0-0_109072_1997-01-22_final
1997-04-06 11:18:11	ga_ls5t_ard_3-0-0_115075_1997-04-06_final
1997-06-16 09:49:09	ga_ls5t_ard_3-0-0_100078_1997-06-16_final
1998-08-19 09:22:54	ga_ls5t_ard_3-0-0_095067_1998-08-18_final
1998-09-06 10:53:13	ga_ls5t_ard_3-0-0_109076_1998-09-06_final
1999-03-10 10:46:38	ga_ls5t_ard_3-0-0_108074_1999-03-10_final
1999-08-18 11:29:34	ga_ls5t_ard_3-0-0_115077_1999-08-18_final
1999-11-13 09:55:06	ga_ls5t_ard_3-0-0_100077_1999-11-13_final
2003-10-11 09:28:25	ga_ls5t_ard_3-0-0_096067_2003-10-10_final
2004-06-20 09:08:03	ga_ls5t_ard_3-0-0_091084_2004-06-19_final
2004-07-22 10:44:14	ga_ls5t_ard_3-0-0_107075_2004-07-22_final
2004-08-07 10:44:33	ga_ls5t_ard_3-0-0_107075_2004-08-07_final
2005-07-25 09:11:08	ga_ls5t_ard_3-0-0_091076_2005-07-24_final
2005-09-25 09:26:33	ga_ls5t_ard_3-0-0_093083_2005-09-24_final
2006-04-10 11:25:27	ga_ls5t_ard_3-0-0_112078_2006-04-10_final
2006-04-22 10:13:05	ga_ls5t_ard_3-0-0_100082_2006-04-22_final
2007-07-02 09:44:21	ga_ls5t_ard_3-0-0_096067_2007-07-02_final
2007-07-16 10:00:59	ga_ls5t_ard_3-0-0_098078_2007-07-16_final
2008-02-16 11:43:22	ga_ls5t_ard_3-0-0_115079_2008-02-16_final
2008-09-08 11:05:35	ga_ls5t_ard_3-0-0_110075_2008-09-08_final
2008-09-11 09:58:42	ga_ls5t_ard_3-0-0_099078_2008-09-11_final
2008-12-02 09:41:24	ga_ls5t_ard_3-1-0_097069_2008-12-02_final
2008-12-08 10:45:46	ga_ls5t_ard_3-0-0_107075_2008-12-08_final
2009-05-04 09:38:08	ga_ls5t_ard_3-0-0_096067_2009-05-04_final
2009-08-16 10:31:45	ga_ls5t_ard_3-0-0_104073_2009-08-16_final
2009-10-07 10:09:19	ga_ls5t_ard_3-0-0_100077_2009-10-07_final
2009-10-25 11:32:01	ga_ls5t_ard_3-0-0_114067_2009-10-25_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