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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

67 results

Time (local)	Label
1988-01-26 09:33:13	ga_ls5t_ard_3-0-0_097085_1988-01-26_final
1988-02-29 10:53:28	ga_ls5t_ard_3-0-0_111068_1988-02-29_final
1988-04-21 08:56:13	ga_ls5t_ard_3-0-0_091083_1988-04-20_final
1988-06-27 11:03:42	ga_ls5t_ard_3-0-0_112076_1988-06-27_final
1988-07-24 10:44:27	ga_ls5t_ard_3-0-0_109074_1988-07-24_final
1988-11-07 09:40:08	ga_ls5t_ard_3-0-0_099068_1988-11-07_final
1988-11-28 10:03:51	ga_ls5t_ard_3-0-0_102081_1988-11-28_final
1988-12-09 09:46:21	ga_ls5t_ard_3-0-0_099084_1988-12-09_final
1988-12-28 10:16:20	ga_ls5t_ard_3-0-0_104082_1988-12-28_final
1989-01-10 09:40:34	ga_ls5t_ard_3-0-0_099070_1989-01-10_final
1989-07-18 10:47:13	ga_ls5t_ard_3-0-0_110074_1989-07-18_final
1990-06-16 10:06:46	ga_ls5t_ard_3-0-0_105068_1990-06-16_final
1990-10-10 09:44:17	ga_ls5t_ard_3-0-0_101075_1990-10-10_final
1990-12-15 09:34:54	ga_ls5t_ard_3-0-0_099083_1990-12-15_final
1990-12-23 08:42:52	ga_ls5t_ard_3-0-0_091076_1990-12-22_final
1991-01-26 08:32:15	ga_ls5t_ard_3-0-0_089078_1991-01-25_final
1991-02-25 10:20:47	ga_ls5t_ard_3-0-0_107070_1991-02-25_final
1991-11-20 09:11:00	ga_ls5t_ard_3-0-0_095073_1991-11-19_final
1991-11-26 08:40:24	ga_ls5t_ard_3-0-0_089089_1991-11-25_final
1992-01-04 10:23:02	ga_ls5t_ard_3-0-0_106083_1992-01-04_final
1992-06-24 10:40:22	ga_ls5t_ard_3-0-0_110067_1992-06-24_final
1992-12-23 08:28:31	ga_ls5t_ard_3-0-0_088082_1992-12-22_final
1993-03-14 09:08:35	ga_ls5t_ard_3-0-0_095072_1993-03-13_final
1993-09-02 09:31:54	ga_ls5t_ard_3-0-0_099068_1993-09-02_final
1993-10-21 08:42:50	ga_ls5t_ard_3-0-0_090085_1993-10-20_final
1993-12-17 10:10:47	ga_ls5t_ard_3-0-0_105074_1993-12-17_final
1994-06-10 09:25:59	ga_ls5t_ard_3-0-0_098077_1994-06-09_final
1994-07-25 10:34:47	ga_ls5t_ard_3-0-0_109082_1994-07-25_final
1995-07-03 08:50:48	ga_ls5t_ard_3-0-0_094085_1995-07-02_final
1995-12-17 10:26:28	ga_ls5t_ard_3-0-0_111072_1995-12-17_final
1996-06-17 10:45:10	ga_ls5t_ard_3-0-0_112074_1996-06-17_final
1996-12-25 10:10:53	ga_ls5t_ard_3-0-0_105072_1996-12-25_final
1997-01-20 09:10:19	ga_ls5t_ard_3-0-0_095072_1997-01-19_final
1997-05-26 09:27:06	ga_ls5t_ard_3-0-0_097071_1997-05-25_final
1997-06-06 09:12:56	ga_ls5t_ard_3-0-0_094081_1997-06-05_final
1997-06-11 09:30:27	ga_ls5t_ard_3-0-0_097078_1997-06-11_final
1997-10-15 09:43:10	ga_ls5t_ard_3-0-0_099069_1997-10-15_final
1998-01-03 09:44:45	ga_ls5t_ard_3-0-0_099068_1998-01-03_final
1998-08-13 10:03:55	ga_ls5t_ard_3-0-0_101077_1998-08-13_final
1998-11-04 08:59:11	ga_ls5t_ard_3-0-0_090084_1998-11-03_final
1999-03-13 09:37:49	ga_ls5t_ard_3-0-0_097072_1999-03-13_final
1999-04-09 09:22:06	ga_ls5t_ard_3-0-0_094080_1999-04-08_final
1999-04-16 11:06:01	ga_ls5t_ard_3-0-0_111077_1999-04-16_final
2003-07-25 09:20:48	ga_ls5t_ard_3-0-0_094082_2003-07-24_final
2003-08-26 09:21:22	ga_ls5t_ard_3-0-0_094082_2003-08-25_final
2003-12-03 11:30:07	ga_ls5t_ard_3-0-0_115076_2003-12-03_final
2003-12-24 10:06:46	ga_ls5t_ard_3-1-0_102068_2003-12-24_final
2004-04-09 09:49:25	ga_ls5t_ard_3-0-0_099069_2004-04-09_final
2004-07-06 09:10:56	ga_ls5t_ard_3-0-0_091090_2004-07-05_final
2004-08-11 10:18:44	ga_ls5t_ard_3-0-0_103072_2004-08-11_final
2004-09-22 09:23:14	ga_ls5t_ard_3-0-0_093085_2004-09-21_final
2005-09-18 10:55:16	ga_ls5t_ard_3-0-0_108073_2005-09-18_final
2005-11-26 11:14:20	ga_ls5t_ard_3-0-0_111073_2005-11-26_final
2006-06-06 11:18:32	ga_ls5t_ard_3-0-0_111074_2006-06-06_final
2007-02-24 09:52:21	ga_ls5t_ard_3-0-0_096084_2007-02-24_final
2007-03-18 10:48:07	ga_ls5t_ard_3-1-0_106069_2007-03-18_final
2007-04-12 09:06:56	ga_ls5t_ard_3-0-0_089079_2007-04-11_final
2007-08-26 11:35:18	ga_ls5t_ard_3-0-0_113083_2007-08-26_final
2007-09-15 09:27:57	ga_ls5t_ard_3-0-0_093074_2007-09-14_final
2008-01-30 09:24:42	ga_ls5t_ard_3-0-0_092087_2008-01-29_final
2008-03-27 09:13:27	ga_ls5t_ard_3-0-0_091077_2008-03-26_final
2008-04-12 09:13:05	ga_ls5t_ard_3-0-0_091077_2008-04-11_final
2008-04-18 10:12:20	ga_ls5t_ard_3-0-0_101071_2008-04-18_final
2008-04-29 09:52:43	ga_ls5t_ard_3-0-0_098069_2008-04-29_final
2009-03-22 09:59:49	ga_ls5t_ard_3-0-0_099077_2009-03-22_final
2010-01-30 09:02:34	ga_ls5t_ard_3-0-0_089078_2010-01-29_final
2010-12-18 10:27:18	ga_ls5t_ard_3-0-0_103076_2010-12-18_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