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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

44 results

Time (local)	Label
1999-07-06 11:12:40	ga_ls7e_ard_3-0-0_110074_1999-07-06_final
1999-08-07 11:12:49	ga_ls7e_ard_3-0-0_110074_1999-08-07_final
2000-01-30 11:09:55	ga_ls7e_ard_3-0-0_110067_2000-01-30_final
2000-03-27 11:06:17	ga_ls7e_ard_3-0-0_109074_2000-03-27_final
2000-06-08 10:59:47	ga_ls7e_ard_3-1-0_108075_2000-06-08_final
2001-05-12 10:45:31	ga_ls7e_ard_3-1-0_106075_2001-05-12_final
2003-01-10 10:42:20	ga_ls7e_ard_3-0-0_106071_2003-01-10_final
2003-08-18 09:26:38	ga_ls7e_ard_3-1-0_094067_2003-08-17_final
2004-03-01 10:44:44	ga_ls7e_ard_3-1-0_106075_2004-03-01_final
2004-06-27 10:08:19	ga_ls7e_ard_3-0-0_100077_2004-06-27_final
2004-08-24 10:44:22	ga_ls7e_ard_3-1-0_106075_2004-08-24_final
2005-06-30 10:08:42	ga_ls7e_ard_3-0-0_100077_2005-06-30_final
2006-01-09 09:13:54	ga_ls7e_ard_3-0-0_091078_2006-01-08_final
2006-01-24 10:09:15	ga_ls7e_ard_3-0-0_100077_2006-01-24_final
2006-02-17 10:57:37	ga_ls7e_ard_3-0-0_108074_2006-02-17_final
2006-04-30 10:09:20	ga_ls7e_ard_3-0-0_100077_2006-04-30_final
2007-03-01 10:52:15	ga_ls7e_ard_3-0-0_107075_2007-03-01_final
2007-05-27 10:57:49	ga_ls7e_ard_3-0-0_108074_2007-05-27_final
2007-08-23 10:09:17	ga_ls7e_ard_3-0-0_100077_2007-08-23_final
2007-12-07 10:45:51	ga_ls7e_ard_3-1-0_106075_2007-12-07_final
2008-05-13 10:57:33	ga_ls7e_ard_3-0-0_108074_2008-05-13_final
2008-06-07 10:51:35	ga_ls7e_ard_3-0-0_107075_2008-06-07_final
2008-10-28 10:08:11	ga_ls7e_ard_3-0-0_100077_2008-10-28_final
2009-02-06 10:24:51	ga_ls7e_ard_3-0-0_103070_2009-02-06_final
2009-12-26 10:58:44	ga_ls7e_ard_3-0-0_108074_2009-12-26_final
2010-05-01 09:30:25	ga_ls7e_ard_3-1-0_094067_2010-05-01_final
2010-09-23 10:18:10	ga_ls7e_ard_3-0-0_101078_2010-09-23_final
2010-12-21 10:12:21	ga_ls7e_ard_3-0-0_100077_2010-12-21_final
2011-04-20 11:01:08	ga_ls7e_ard_3-0-0_108074_2011-04-20_final
2011-06-16 10:55:21	ga_ls7e_ard_3-0-0_107075_2011-06-16_final
2011-09-28 10:02:22	ga_ls7e_ard_3-0-0_099067_2011-09-28_final
2011-11-30 11:01:15	ga_ls7e_ard_3-0-0_108074_2011-11-30_final
2012-05-12 10:40:42	ga_ls7e_ard_3-0-0_104082_2012-05-12_final
2012-05-30 10:23:20	ga_ls7e_ard_3-0-0_102070_2012-05-30_final
2014-09-05 10:54:02	ga_ls7e_ard_3-0-0_106077_2014-09-05_final
2016-01-26 09:39:59	ga_ls7e_ard_3-1-0_094067_2016-01-26_final
2017-10-27 09:40:52	ga_ls7e_ard_3-1-0_094067_2017-10-27_final
2020-02-22 09:16:29	ga_ls7e_ard_3-1-0_094067_2020-02-21_final
2020-09-23 10:11:24	ga_ls7e_ard_3-1-0_104082_2020-09-23_final
2020-11-04 09:00:53	ga_ls7e_ard_3-1-0_094067_2020-11-03_final
2020-12-16 09:36:57	ga_ls7e_ard_3-1-0_100072_2020-12-16_final
2021-06-24 09:37:56	ga_ls7e_ard_3-2-0_102081_2021-06-24_final
2021-06-28 09:07:17	ga_ls7e_ard_3-2-0_098067_2021-06-27_final
2022-04-03 08:47:30	ga_ls7e_ard_3-2-1_099067_2022-04-02_final

Return to ga_ls7e_ard_3 whole collection overview

ga_ls7e_ard_3: Geoscience Australia Landsat 7 Enhanced Thematic Mapper Plus Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years