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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

63 results

Time (local)	Label
1988-09-06 09:29:10	ga_ls5t_ard_3-0-0_097071_1988-09-05_final
1988-09-20 09:44:15	ga_ls5t_ard_3-0-0_099078_1988-09-20_final
1988-10-31 09:35:08	ga_ls5t_ard_3-0-0_098071_1988-10-31_final
1988-11-07 09:40:56	ga_ls5t_ard_3-0-0_099070_1988-11-07_final
1988-11-14 09:47:54	ga_ls5t_ard_3-0-0_100072_1988-11-14_final
1988-12-09 09:41:09	ga_ls5t_ard_3-1-0_099071_1988-12-09_final
1989-09-01 08:38:05	ga_ls5t_ard_3-0-0_089078_1989-08-31_final
1989-12-22 10:09:52	ga_ls5t_ard_3-0-0_105068_1989-12-22_final
1990-12-08 09:23:25	ga_ls5t_ard_3-0-0_098070_1990-12-07_final
1991-02-17 09:33:59	ga_ls5t_ard_3-0-0_099077_1991-02-17_final
1991-04-06 09:34:49	ga_ls5t_ard_3-0-0_099077_1991-04-06_final
1991-04-12 10:34:23	ga_ls5t_ard_3-0-0_109071_1991-04-12_final
1991-11-17 08:46:06	ga_ls5t_ard_3-0-0_090088_1991-11-16_final
1991-12-19 08:41:50	ga_ls5t_ard_3-0-0_090077_1991-12-18_final
1992-01-29 10:13:20	ga_ls5t_ard_3-0-0_105074_1992-01-29_final
1992-02-07 10:09:24	ga_ls5t_ard_3-0-0_104080_1992-02-07_final
1992-04-08 11:15:59	ga_ls5t_ard_3-0-0_115077_1992-04-08_final
1992-11-11 09:28:49	ga_ls5t_ard_3-0-0_098079_1992-11-10_final
1992-12-28 08:48:17	ga_ls5t_ard_3-0-0_091085_1992-12-27_final
1993-04-27 09:35:32	ga_ls5t_ard_3-0-0_099077_1993-04-27_final
1993-05-28 08:56:23	ga_ls5t_ard_3-0-0_092087_1993-05-27_final
1993-12-15 08:44:41	ga_ls5t_ard_3-1-0_091075_1993-12-14_final
1994-01-16 10:21:08	ga_ls5t_ard_3-0-0_107070_1994-01-16_final
1994-03-12 10:26:59	ga_ls5t_ard_3-0-0_108071_1994-03-12_final
1994-06-15 09:44:25	ga_ls5t_ard_3-0-0_101077_1994-06-15_final
1995-03-23 09:29:36	ga_ls5t_ard_3-0-0_100078_1995-03-22_final
1995-07-14 08:31:45	ga_ls5t_ard_3-0-0_091085_1995-07-13_final
1995-07-22 09:18:27	ga_ls5t_ard_3-0-0_099079_1995-07-21_final
1995-07-22 10:56:56	ga_ls5t_ard_3-0-0_115078_1995-07-22_final
1995-11-05 09:46:07	ga_ls5t_ard_3-0-0_105068_1995-11-05_final
1995-11-08 10:18:35	ga_ls5t_ard_3-0-0_110072_1995-11-08_final
1995-12-13 09:11:12	ga_ls5t_ard_3-0-0_099070_1995-12-12_final
1996-06-09 09:56:29	ga_ls5t_ard_3-0-0_104077_1996-06-09_final
1996-12-31 11:14:11	ga_ls5t_ard_3-0-0_115075_1996-12-31_final
1997-02-01 09:38:21	ga_ls5t_ard_3-0-0_099079_1997-02-01_final
1997-02-14 10:43:19	ga_ls5t_ard_3-0-0_110070_1997-02-14_final
1997-12-18 11:27:14	ga_ls5t_ard_3-0-0_115078_1997-12-18_final
1998-08-17 11:20:31	ga_ls5t_ard_3-0-0_113083_1998-08-17_final
1999-01-22 09:52:09	ga_ls5t_ard_3-0-0_099077_1999-01-22_final
1999-02-05 10:05:00	ga_ls5t_ard_3-0-0_101078_1999-02-05_final
2003-07-18 10:50:59	ga_ls5t_ard_3-0-0_109076_2003-07-18_final
2003-11-04 10:18:26	ga_ls5t_ard_3-0-0_104068_2003-11-04_final
2004-03-01 09:46:20	ga_ls5t_ard_3-0-0_098078_2004-03-01_final
2004-10-18 09:55:17	ga_ls5t_ard_3-0-0_099071_2004-10-18_final
2005-01-22 11:38:37	ga_ls5t_ard_3-0-0_115078_2005-01-22_final
2005-02-12 10:14:35	ga_ls5t_ard_3-0-0_102068_2005-02-12_final
2005-07-01 09:58:44	ga_ls5t_ard_3-0-0_099072_2005-07-01_final
2005-11-24 09:46:34	ga_ls5t_ard_3-0-0_097070_2005-11-24_final
2006-05-01 10:03:03	ga_ls5t_ard_3-0-0_099072_2006-05-01_final
2006-06-24 09:32:21	ga_ls5t_ard_3-0-0_093086_2006-06-24_final
2007-07-01 09:09:52	ga_ls5t_ard_3-0-0_089089_2007-06-30_final
2008-03-28 11:34:23	ga_ls5t_ard_3-0-0_114074_2008-03-28_final
2008-11-14 11:35:38	ga_ls5t_ard_3-0-0_115078_2008-11-14_final
2008-12-09 09:51:23	ga_ls5t_ard_3-0-0_098078_2008-12-09_final
2009-04-23 09:58:28	ga_ls5t_ard_3-0-0_099072_2009-04-23_final
2009-04-27 09:34:13	ga_ls5t_ard_3-0-0_095073_2009-04-27_final
2009-05-25 09:58:39	ga_ls5t_ard_3-0-0_099071_2009-05-25_final
2009-11-26 09:58:34	ga_ls5t_ard_3-0-0_098080_2009-11-26_final
2010-04-05 11:23:11	ga_ls5t_ard_3-0-0_112074_2010-04-05_final
2010-04-17 10:07:47	ga_ls5t_ard_3-1-0_100071_2010-04-17_final
2010-06-18 10:19:30	ga_ls5t_ard_3-0-0_102070_2010-06-18_final
2010-12-22 10:04:11	ga_ls5t_ard_3-0-0_099080_2010-12-22_final
2011-06-11 11:21:39	ga_ls5t_ard_3-0-0_112074_2011-06-11_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