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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

53 results

Time (local)	Label
1987-07-16 09:38:42	ga_ls5t_ard_3-0-0_099078_1987-07-16_final
1987-12-18 10:58:03	ga_ls5t_ard_3-1-0_112067_1987-12-18_final
1988-01-02 10:21:02	ga_ls5t_ard_3-0-0_105082_1988-01-02_final
1988-06-18 11:12:38	ga_ls5t_ard_3-0-0_113083_1988-06-18_final
1988-08-06 10:15:56	ga_ls5t_ard_3-0-0_104080_1988-08-06_final
1988-11-24 08:52:53	ga_ls5t_ard_3-0-0_090089_1988-11-23_final
1989-05-04 09:32:43	ga_ls5t_ard_3-0-0_097085_1989-05-04_final
1989-05-19 08:45:55	ga_ls5t_ard_3-0-0_090077_1989-05-18_final
1989-09-20 10:44:52	ga_ls5t_ard_3-0-0_110072_1989-09-20_final
1989-10-18 09:29:33	ga_ls5t_ard_3-0-0_098071_1989-10-17_final
1990-04-03 09:33:56	ga_ls5t_ard_3-0-0_099079_1990-04-03_final
1990-11-01 10:45:30	ga_ls5t_ard_3-0-0_111074_1990-11-01_final
1990-11-06 09:25:12	ga_ls5t_ard_3-0-0_098074_1990-11-05_final
1990-11-29 09:28:24	ga_ls5t_ard_3-0-0_099067_1990-11-28_final
1991-01-24 10:22:38	ga_ls5t_ard_3-0-0_107076_1991-01-24_final
1991-04-16 10:10:57	ga_ls5t_ard_3-0-0_105074_1991-04-16_final
1992-01-11 10:25:36	ga_ls5t_ard_3-0-0_107074_1992-01-11_final
1992-03-08 08:46:04	ga_ls5t_ard_3-0-0_090088_1992-03-07_final
1992-09-25 08:34:01	ga_ls5t_ard_3-0-0_089079_1992-09-24_final
1992-10-11 10:08:08	ga_ls5t_ard_3-0-0_105068_1992-10-11_final
1992-11-25 09:38:20	ga_ls5t_ard_3-0-0_100072_1992-11-25_final
1993-07-24 08:49:15	ga_ls5t_ard_3-0-0_091085_1993-07-23_final
1993-12-10 08:28:58	ga_ls5t_ard_3-1-0_088082_1993-12-09_final
1994-06-12 09:17:10	ga_ls5t_ard_3-0-0_096086_1994-06-11_final
1994-09-06 10:09:35	ga_ls5t_ard_3-0-0_106068_1994-09-06_final
1995-03-11 09:04:35	ga_ls5t_ard_3-0-0_096076_1995-03-10_final
1996-01-01 08:09:24	ga_ls5t_ard_3-0-0_088082_1995-12-31_final
1996-04-03 11:00:09	ga_ls5t_ard_3-0-0_115076_1996-04-03_final
1996-06-17 10:45:10	ga_ls5t_ard_3-0-0_112074_1996-06-17_final
1996-06-26 10:41:52	ga_ls5t_ard_3-0-0_111080_1996-06-26_final
1996-12-26 10:55:24	ga_ls5t_ard_3-0-0_112075_1996-12-26_final
1997-03-12 09:43:21	ga_ls5t_ard_3-0-0_100072_1997-03-12_final
1997-11-09 11:15:43	ga_ls5t_ard_3-0-0_114067_1997-11-09_final
1998-02-20 09:46:33	ga_ls5t_ard_3-0-0_099070_1998-02-20_final
1998-04-23 10:04:34	ga_ls5t_ard_3-0-0_101082_1998-04-23_final
1998-08-12 10:58:44	ga_ls5t_ard_3-0-0_110075_1998-08-12_final
1998-08-22 09:58:15	ga_ls5t_ard_3-0-0_100078_1998-08-22_final
1999-08-26 10:38:45	ga_ls5t_ard_3-0-0_107074_1999-08-26_final
2003-07-09 10:56:37	ga_ls5t_ard_3-0-0_110075_2003-07-09_final
2003-07-28 09:46:58	ga_ls5t_ard_3-0-0_099070_2003-07-28_final
2003-09-06 09:04:12	ga_ls5t_ard_3-0-0_091085_2003-09-05_final
2003-11-18 10:31:08	ga_ls5t_ard_3-0-0_106068_2003-11-18_final
2004-04-25 09:52:41	ga_ls5t_ard_3-0-0_099076_2004-04-25_final
2005-03-26 10:54:35	ga_ls5t_ard_3-0-0_108074_2005-03-26_final
2006-05-01 11:44:20	ga_ls5t_ard_3-0-0_115078_2006-05-01_final
2007-07-09 09:51:17	ga_ls5t_ard_3-0-0_097069_2007-07-09_final
2007-09-05 10:32:36	ga_ls5t_ard_3-0-0_103081_2007-09-05_final
2008-09-18 10:04:40	ga_ls5t_ard_3-0-0_100078_2008-09-18_final
2008-09-22 09:42:13	ga_ls5t_ard_3-0-0_096084_2008-09-22_final
2009-04-24 10:40:09	ga_ls5t_ard_3-0-0_106068_2009-04-24_final
2010-04-20 10:37:29	ga_ls5t_ard_3-0-0_105068_2010-04-20_final
2010-06-17 11:16:43	ga_ls5t_ard_3-0-0_111074_2010-06-17_final
2011-05-15 10:02:41	ga_ls5t_ard_3-0-0_099077_2011-05-15_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