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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
1999-09-21 09:05:01	ga_ls7e_ard_3-0-0_089079_1999-09-20_final
2000-01-14 09:31:03	ga_ls7e_ard_3-1-0_094067_2000-01-14_final
2000-04-03 09:30:43	ga_ls7e_ard_3-1-0_094067_2000-04-03_final
2000-12-31 09:28:39	ga_ls7e_ard_3-1-0_094067_2000-12-30_final
2001-01-03 10:00:18	ga_ls7e_ard_3-0-0_099069_2001-01-03_final
2001-01-16 09:28:42	ga_ls7e_ard_3-1-0_094067_2001-01-15_final
2001-10-31 09:26:30	ga_ls7e_ard_3-1-0_094067_2001-10-30_final
2002-06-07 09:15:03	ga_ls7e_ard_3-0-0_091084_2002-06-06_final
2003-01-22 09:26:43	ga_ls7e_ard_3-1-0_094067_2003-01-21_final
2003-01-22 11:05:36	ga_ls7e_ard_3-0-0_110067_2003-01-22_final
2003-10-21 09:26:31	ga_ls7e_ard_3-0-0_094067_2003-10-20_final
2004-08-23 09:59:30	ga_ls7e_ard_3-0-0_099071_2004-08-23_final
2005-03-19 10:00:02	ga_ls7e_ard_3-0-0_099070_2005-03-19_final
2005-06-08 10:45:05	ga_ls7e_ard_3-1-0_106075_2005-06-08_final
2005-07-18 09:57:10	ga_ls7e_ard_3-0-0_098079_2005-07-18_final
2005-11-30 09:59:54	ga_ls7e_ard_3-0-0_099070_2005-11-30_final
2005-12-10 10:39:01	ga_ls7e_ard_3-0-0_105075_2005-12-10_final
2006-01-10 11:31:40	ga_ls7e_ard_3-0-0_114067_2006-01-10_final
2006-04-09 09:48:00	ga_ls7e_ard_3-0-0_097070_2006-04-09_final
2006-05-18 11:37:05	ga_ls7e_ard_3-0-0_114080_2006-05-18_final
2006-10-16 11:41:54	ga_ls7e_ard_3-0-0_115078_2006-10-16_final
2007-01-26 09:22:20	ga_ls7e_ard_3-0-0_093067_2007-01-25_final
2007-02-15 09:05:20	ga_ls7e_ard_3-0-0_089086_2007-02-14_final
2007-03-06 09:28:44	ga_ls7e_ard_3-0-0_094067_2007-03-05_final
2009-01-22 09:27:58	ga_ls7e_ard_3-0-0_094067_2009-01-21_final
2009-03-16 09:47:44	ga_ls7e_ard_3-0-0_097069_2009-03-16_final
2009-05-01 10:01:08	ga_ls7e_ard_3-0-0_099071_2009-05-01_final
2009-08-05 10:00:32	ga_ls7e_ard_3-0-0_099070_2009-08-05_final
2010-06-28 10:11:29	ga_ls7e_ard_3-0-0_100077_2010-06-28_final
2010-07-17 09:07:08	ga_ls7e_ard_3-0-0_089086_2010-07-16_final
2010-08-21 09:30:28	ga_ls7e_ard_3-1-0_094067_2010-08-21_final
2010-09-11 09:55:50	ga_ls7e_ard_3-0-0_097084_2010-09-11_final
2010-11-15 10:38:44	ga_ls7e_ard_3-0-0_104082_2010-11-15_final
2011-02-10 09:06:20	ga_ls7e_ard_3-1-0_089081_2011-02-09_final
2012-05-09 10:05:21	ga_ls7e_ard_3-0-0_099071_2012-05-09_final
2012-05-22 09:40:27	ga_ls7e_ard_3-0-0_094086_2012-05-22_final
2012-11-05 09:40:15	ga_ls7e_ard_3-0-0_095067_2012-11-05_final
2014-01-26 10:37:37	ga_ls7e_ard_3-0-0_104069_2014-01-26_final
2014-11-02 09:48:46	ga_ls7e_ard_3-0-0_096067_2014-11-02_final
2014-11-20 09:36:29	ga_ls7e_ard_3-1-0_094067_2014-11-20_final
2015-02-03 09:26:45	ga_ls7e_ard_3-0-0_091088_2015-02-02_final
2015-09-20 09:40:34	ga_ls7e_ard_3-0-0_094073_2015-09-20_final
2015-12-01 10:34:10	ga_ls7e_ard_3-0-0_102081_2015-12-01_final
2016-10-10 09:35:00	ga_ls7e_ard_3-0-0_092083_2016-10-10_final
2017-02-04 09:48:23	ga_ls7e_ard_3-0-0_095072_2017-02-04_final
2017-12-11 09:14:07	ga_ls7e_ard_3-0-0_089078_2017-12-10_final
2019-06-27 11:11:28	ga_ls7e_ard_3-0-0_110080_2019-06-27_final
2020-02-08 09:08:03	ga_ls7e_ard_3-1-0_092075_2020-02-07_final
2020-04-28 10:42:54	ga_ls7e_ard_3-1-0_108076_2020-04-28_final
2021-02-11 09:30:15	ga_ls7e_ard_3-2-0_099081_2021-02-11_final
2021-04-01 10:04:29	ga_ls7e_ard_3-2-0_106068_2021-04-01_final
2021-05-15 10:31:06	ga_ls7e_ard_3-2-0_110082_2021-05-15_final
2022-03-27 10:24:28	ga_ls7e_ard_3-2-1_114076_2022-03-27_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

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