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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

61 results

Time (local)	Label
1987-09-03 08:44:02	ga_ls5t_ard_3-0-0_090077_1987-09-02_final
1987-09-24 09:01:53	ga_ls5t_ard_3-0-0_093074_1987-09-23_final
1987-09-28 10:19:20	ga_ls5t_ard_3-0-0_105082_1987-09-28_final
1988-02-22 10:50:25	ga_ls5t_ard_3-0-0_110076_1988-02-22_final
1988-03-05 09:36:46	ga_ls5t_ard_3-0-0_098077_1988-03-05_final
1988-07-11 09:40:25	ga_ls5t_ard_3-0-0_098084_1988-07-11_final
1988-08-16 09:16:32	ga_ls5t_ard_3-0-0_094086_1988-08-15_final
1988-09-22 11:12:21	ga_ls5t_ard_3-0-0_113082_1988-09-22_final
1988-12-18 09:39:17	ga_ls5t_ard_3-0-0_098082_1988-12-18_final
1989-02-18 09:51:40	ga_ls5t_ard_3-0-0_100083_1989-02-18_final
1990-02-27 10:43:49	ga_ls5t_ard_3-0-0_110081_1990-02-27_final
1990-03-10 08:48:23	ga_ls5t_ard_3-0-0_091087_1990-03-09_final
1990-06-10 10:49:04	ga_ls5t_ard_3-0-0_111081_1990-06-10_final
1990-09-04 08:31:09	ga_ls5t_ard_3-1-0_089077_1990-09-03_final
1990-12-03 10:44:52	ga_ls5t_ard_3-0-0_111073_1990-12-03_final
1991-03-27 08:58:01	ga_ls5t_ard_3-0-0_093078_1991-03-26_final
1991-07-21 10:10:01	ga_ls5t_ard_3-0-0_105068_1991-07-21_final
1991-07-23 10:02:52	ga_ls5t_ard_3-0-0_103081_1991-07-23_final
1991-10-31 09:34:03	ga_ls5t_ard_3-0-0_099069_1991-10-31_final
1991-11-16 09:36:32	ga_ls5t_ard_3-0-0_099075_1991-11-16_final
1992-01-27 08:47:59	ga_ls5t_ard_3-0-0_091077_1992-01-26_final
1992-03-21 09:49:15	ga_ls5t_ard_3-0-0_101076_1992-03-21_final
1992-08-23 09:32:34	ga_ls5t_ard_3-0-0_098085_1992-08-23_final
1992-10-19 09:21:02	ga_ls5t_ard_3-0-0_097074_1992-10-18_final
1993-10-14 08:35:31	ga_ls5t_ard_3-0-0_089082_1993-10-13_final
1994-04-27 09:00:53	ga_ls5t_ard_3-0-0_094074_1994-04-26_final
1994-06-02 08:36:42	ga_ls5t_ard_3-0-0_090077_1994-06-01_final
1994-09-20 08:45:53	ga_ls5t_ard_3-0-0_092076_1994-09-19_final
1994-11-18 08:28:36	ga_ls5t_ard_3-0-0_089084_1994-11-17_final
1995-11-09 09:22:33	ga_ls5t_ard_3-0-0_101071_1995-11-08_final
1996-04-21 09:07:13	ga_ls5t_ard_3-0-0_097069_1996-04-20_final
1996-09-30 09:05:19	ga_ls5t_ard_3-0-0_095073_1996-09-29_final
1996-10-11 10:27:02	ga_ls5t_ard_3-0-0_108075_1996-10-11_final
1997-03-19 09:52:12	ga_ls5t_ard_3-0-0_101078_1997-03-19_final
1997-04-07 08:48:54	ga_ls5t_ard_3-0-0_090088_1997-04-06_final
1997-08-23 09:29:30	ga_ls5t_ard_3-0-0_096085_1997-08-22_final
1997-10-28 09:14:13	ga_ls5t_ard_3-0-0_094073_1997-10-27_final
1998-01-22 08:42:45	ga_ls5t_ard_3-1-0_088082_1998-01-21_final
1998-04-11 09:38:54	ga_ls5t_ard_3-0-0_097080_1998-04-11_final
1998-04-18 11:24:02	ga_ls5t_ard_3-0-0_114080_1998-04-18_final
1998-06-25 09:23:46	ga_ls5t_ard_3-1-0_094086_1998-06-24_final
1999-04-08 10:13:20	ga_ls5t_ard_3-0-0_103069_1999-04-08_final
1999-05-11 09:21:59	ga_ls5t_ard_3-0-0_094080_1999-05-10_final
1999-05-14 09:48:03	ga_ls5t_ard_3-0-0_099068_1999-05-14_final
1999-09-14 09:28:57	ga_ls5t_ard_3-0-0_096071_1999-09-13_final
2003-05-20 11:07:35	ga_ls5t_ard_3-0-0_112074_2003-05-20_final
2004-08-09 08:54:56	ga_ls5t_ard_3-0-0_089079_2004-08-08_final
2004-12-25 09:32:38	ga_ls5t_ard_3-0-0_095073_2004-12-25_final
2005-01-17 11:18:48	ga_ls5t_ard_3-0-0_112075_2005-01-17_final
2005-03-05 10:39:02	ga_ls5t_ard_3-1-0_105082_2005-03-05_final
2005-04-30 09:44:46	ga_ls5t_ard_3-0-0_097069_2005-04-30_final
2006-01-25 11:42:51	ga_ls5t_ard_3-1-0_115079_2006-01-25_final
2006-04-28 09:33:18	ga_ls5t_ard_3-0-0_094075_2006-04-28_final
2006-12-27 10:04:41	ga_ls5t_ard_3-0-0_099069_2006-12-27_final
2007-01-25 11:15:38	ga_ls5t_ard_3-0-0_110076_2007-01-25_final
2008-02-23 10:10:08	ga_ls5t_ard_3-1-0_100078_2008-02-23_final
2008-11-14 09:56:45	ga_ls5t_ard_3-0-0_099078_2008-11-14_final
2009-06-30 11:18:16	ga_ls5t_ard_3-0-0_111083_2009-06-30_final
2010-01-20 10:00:20	ga_ls5t_ard_3-1-0_099068_2010-01-20_final
2010-04-10 10:01:38	ga_ls5t_ard_3-0-0_099071_2010-04-10_final
2010-04-26 11:43:14	ga_ls5t_ard_3-0-0_115078_2010-04-26_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

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