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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

75 results

Time (local)	Label
2000-01-24 10:11:42	ga_ls7e_ard_3-0-0_100076_2000-01-24_final
2000-07-12 10:45:04	ga_ls7e_ard_3-0-0_106070_2000-07-12_final
2000-12-18 10:01:56	ga_ls7e_ard_3-0-0_099073_2000-12-18_final
2001-06-10 10:15:30	ga_ls7e_ard_3-0-0_101078_2001-06-10_final
2001-08-30 09:22:57	ga_ls7e_ard_3-0-0_092088_2001-08-29_final
2001-11-17 10:14:00	ga_ls7e_ard_3-0-0_101077_2001-11-17_final
2003-08-23 11:30:26	ga_ls7e_ard_3-0-0_113083_2003-08-23_final
2003-09-22 09:57:44	ga_ls7e_ard_3-0-0_099068_2003-09-22_final
2004-06-14 10:36:02	ga_ls7e_ard_3-0-0_105069_2004-06-14_final
2004-07-17 11:21:14	ga_ls7e_ard_3-0-0_112074_2004-07-17_final
2004-09-01 09:54:05	ga_ls7e_ard_3-0-0_098073_2004-09-01_final
2004-09-24 10:02:07	ga_ls7e_ard_3-0-0_099078_2004-09-24_final
2004-10-17 10:07:56	ga_ls7e_ard_3-0-0_100077_2004-10-17_final
2004-12-16 08:56:20	ga_ls7e_ard_3-0-0_088082_2004-12-15_final
2005-02-26 11:21:56	ga_ls7e_ard_3-0-0_112074_2005-02-26_final
2005-06-23 10:03:20	ga_ls7e_ard_3-0-0_099079_2005-06-23_final
2005-10-02 10:22:19	ga_ls7e_ard_3-0-0_102081_2005-10-02_final
2006-04-16 09:57:21	ga_ls7e_ard_3-0-0_098078_2006-04-16_final
2006-09-14 11:41:57	ga_ls7e_ard_3-0-0_115078_2006-09-14_final
2006-10-31 09:22:23	ga_ls7e_ard_3-0-0_092084_2006-10-30_final
2006-11-01 11:40:57	ga_ls7e_ard_3-0-0_115075_2006-11-01_final
2006-12-04 10:45:41	ga_ls7e_ard_3-1-0_106075_2006-12-04_final
2007-03-03 09:02:37	ga_ls7e_ard_3-0-0_089079_2007-03-02_final
2007-05-04 09:18:30	ga_ls7e_ard_3-0-0_091088_2007-05-03_final
2007-05-28 10:01:23	ga_ls7e_ard_3-0-0_099072_2007-05-28_final
2007-06-19 09:30:41	ga_ls7e_ard_3-0-0_093088_2007-06-19_final
2007-09-17 10:02:55	ga_ls7e_ard_3-0-0_099077_2007-09-17_final
2008-04-14 11:25:47	ga_ls7e_ard_3-0-0_113067_2008-04-14_final
2008-09-28 09:58:31	ga_ls7e_ard_3-0-0_098084_2008-09-28_final
2008-10-05 10:02:37	ga_ls7e_ard_3-0-0_099079_2008-10-05_final
2009-05-27 09:02:10	ga_ls7e_ard_3-0-0_089078_2009-05-26_final
2009-06-25 10:11:18	ga_ls7e_ard_3-1-0_100081_2009-06-25_final
2010-02-03 09:32:12	ga_ls7e_ard_3-0-0_093088_2010-02-03_final
2010-04-27 10:01:32	ga_ls7e_ard_3-0-0_098083_2010-04-27_final
2010-08-12 09:36:37	ga_ls7e_ard_3-0-0_095067_2010-08-12_final
2010-08-18 09:05:33	ga_ls7e_ard_3-0-0_089082_2010-08-17_final
2010-09-10 09:09:47	ga_ls7e_ard_3-0-0_090077_2010-09-09_final
2010-11-13 10:51:04	ga_ls7e_ard_3-0-0_106082_2010-11-13_final
2011-11-10 11:29:46	ga_ls7e_ard_3-1-0_112084_2011-11-10_final
2012-03-18 10:33:33	ga_ls7e_ard_3-0-0_103081_2012-03-18_final
2013-10-10 10:15:15	ga_ls7e_ard_3-0-0_100077_2013-10-10_final
2014-01-24 10:53:56	ga_ls7e_ard_3-0-0_106079_2014-01-24_final
2014-02-24 10:06:38	ga_ls7e_ard_3-0-0_099069_2014-02-24_final
2014-04-06 10:00:20	ga_ls7e_ard_3-0-0_098068_2014-04-06_final
2014-05-22 10:18:39	ga_ls7e_ard_3-0-0_100082_2014-05-22_final
2014-08-08 10:30:55	ga_ls7e_ard_3-0-0_102081_2014-08-08_final
2015-04-07 10:18:27	ga_ls7e_ard_3-0-0_100077_2015-04-07_final
2015-05-27 10:02:48	ga_ls7e_ard_3-0-0_098068_2015-05-27_final
2015-06-07 09:43:59	ga_ls7e_ard_3-0-0_095067_2015-06-07_final
2015-09-17 09:14:27	ga_ls7e_ard_3-0-0_089085_2015-09-16_final
2015-10-19 09:16:23	ga_ls7e_ard_3-1-0_089089_2015-10-18_final
2016-02-02 11:27:06	ga_ls7e_ard_3-0-0_111072_2016-02-02_final
2016-04-11 10:09:34	ga_ls7e_ard_3-0-0_098078_2016-04-11_final
2016-07-30 10:22:18	ga_ls7e_ard_3-0-0_100078_2016-07-30_final
2017-06-24 11:55:03	ga_ls7e_ard_3-0-0_115078_2017-06-24_final
2017-07-05 11:34:55	ga_ls7e_ard_3-0-0_112074_2017-07-05_final
2017-08-02 10:19:32	ga_ls7e_ard_3-0-0_100071_2017-08-02_final
2017-11-19 09:49:23	ga_ls7e_ard_3-1-0_095073_2017-11-19_final
2017-12-09 11:07:23	ga_ls7e_ard_3-0-0_107083_2017-12-09_final
2018-02-19 10:11:48	ga_ls7e_ard_3-0-0_099070_2018-02-19_final
2018-07-19 09:39:05	ga_ls7e_ard_3-1-0_093087_2018-07-19_final
2018-07-29 11:51:17	ga_ls7e_ard_3-0-0_115078_2018-07-29_final
2019-01-30 11:38:55	ga_ls7e_ard_3-0-0_114074_2019-01-30_final
2019-02-22 10:04:21	ga_ls7e_ard_3-1-0_099071_2019-02-22_final
2019-02-26 11:18:23	ga_ls7e_ard_3-1-0_111071_2019-02-26_final
2019-04-29 11:33:24	ga_ls7e_ard_3-0-0_113083_2019-04-29_final
2020-01-04 10:16:35	ga_ls7e_ard_3-1-0_103072_2020-01-04_final
2020-05-09 08:46:48	ga_ls7e_ard_3-1-0_089081_2020-05-08_final
2020-06-08 09:00:33	ga_ls7e_ard_3-1-0_091089_2020-06-07_final
2020-07-04 09:34:06	ga_ls7e_ard_3-1-0_097084_2020-07-04_final
2020-08-16 09:12:54	ga_ls7e_ard_3-1-0_094084_2020-08-15_final
2020-10-01 09:22:15	ga_ls7e_ard_3-1-0_096084_2020-09-30_final
2021-04-05 09:39:26	ga_ls7e_ard_3-2-0_102068_2021-04-05_final
2021-12-05 08:57:21	ga_ls7e_ard_3-2-1_098078_2021-12-04_final
2022-02-02 10:08:46	ga_ls7e_ard_3-2-1_111070_2022-02-02_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

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