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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

69 results

Time (local)	Label
1999-09-15 09:37:14	ga_ls7e_ard_3-0-0_095067_1999-09-15_final
2000-07-27 11:42:24	ga_ls7e_ard_3-0-0_115075_2000-07-27_final
2001-04-09 10:02:48	ga_ls7e_ard_3-0-0_099076_2001-04-09_final
2001-04-27 09:51:14	ga_ls7e_ard_3-0-0_097078_2001-04-27_final
2001-12-02 09:26:45	ga_ls7e_ard_3-1-0_094067_2001-12-01_final
2002-06-08 11:36:00	ga_ls7e_ard_3-0-0_114081_2002-06-08_final
2002-06-22 10:10:10	ga_ls7e_ard_3-0-0_100083_2002-06-22_final
2003-01-18 11:35:53	ga_ls7e_ard_3-0-0_114081_2003-01-18_final
2003-05-26 11:36:07	ga_ls7e_ard_3-0-0_114081_2003-05-26_final
2003-07-25 10:21:46	ga_ls7e_ard_3-0-0_102081_2003-07-25_final
2003-10-29 10:21:40	ga_ls7e_ard_3-0-0_102081_2003-10-29_final
2003-12-16 10:22:02	ga_ls7e_ard_3-0-0_102081_2003-12-16_final
2004-10-20 09:03:12	ga_ls7e_ard_3-0-0_089085_2004-10-19_final
2004-11-04 09:56:14	ga_ls7e_ard_3-0-0_098078_2004-11-04_final
2005-02-02 08:56:36	ga_ls7e_ard_3-0-0_088082_2005-02-01_final
2005-02-24 11:31:29	ga_ls7e_ard_3-0-0_114067_2005-02-24_final
2005-10-26 09:33:05	ga_ls7e_ard_3-0-0_094081_2005-10-26_final
2006-01-02 09:07:15	ga_ls7e_ard_3-0-0_090077_2006-01-01_final
2006-01-07 11:03:32	ga_ls7e_ard_3-0-0_109074_2006-01-07_final
2006-03-16 10:42:18	ga_ls7e_ard_3-0-0_105082_2006-03-16_final
2007-06-01 11:15:56	ga_ls7e_ard_3-0-0_111073_2007-06-01_final
2007-06-19 09:29:05	ga_ls7e_ard_3-0-0_093084_2007-06-18_final
2007-10-16 09:28:01	ga_ls7e_ard_3-1-0_094067_2007-10-15_final
2007-12-19 09:28:33	ga_ls7e_ard_3-1-0_094067_2007-12-18_final
2008-01-16 11:32:11	ga_ls7e_ard_3-0-0_114067_2008-01-16_final
2008-03-26 11:01:41	ga_ls7e_ard_3-0-0_108084_2008-03-26_final
2008-09-20 09:10:45	ga_ls7e_ard_3-0-0_090088_2008-09-19_final
2009-08-20 10:56:07	ga_ls7e_ard_3-0-0_108070_2009-08-20_final
2009-12-05 09:07:20	ga_ls7e_ard_3-0-0_089090_2009-12-04_final
2010-04-15 09:30:27	ga_ls7e_ard_3-1-0_094067_2010-04-15_final
2010-08-01 11:34:03	ga_ls7e_ard_3-0-0_114067_2010-08-01_final
2010-12-06 09:16:38	ga_ls7e_ard_3-0-0_091077_2010-12-05_final
2010-12-11 09:31:13	ga_ls7e_ard_3-1-0_094067_2010-12-11_final
2010-12-31 10:47:09	ga_ls7e_ard_3-0-0_106071_2010-12-31_final
2011-03-15 09:44:09	ga_ls7e_ard_3-0-0_096067_2011-03-15_final
2011-05-24 10:51:57	ga_ls7e_ard_3-0-0_106082_2011-05-24_final
2012-04-16 11:35:53	ga_ls7e_ard_3-0-0_114067_2012-04-16_final
2013-03-29 09:40:27	ga_ls7e_ard_3-0-0_095067_2013-03-29_final
2013-12-22 10:07:05	ga_ls7e_ard_3-0-0_099071_2013-12-22_final
2015-02-28 10:57:14	ga_ls7e_ard_3-0-0_106082_2015-02-28_final
2015-08-28 09:35:05	ga_ls7e_ard_3-0-0_093075_2015-08-28_final
2015-08-28 11:13:58	ga_ls7e_ard_3-0-0_109075_2015-08-28_final
2015-10-08 09:29:31	ga_ls7e_ard_3-0-0_092076_2015-10-07_final
2015-11-21 09:51:23	ga_ls7e_ard_3-0-0_096067_2015-11-21_final
2015-11-27 10:59:39	ga_ls7e_ard_3-0-0_106083_2015-11-27_final
2016-03-27 09:18:15	ga_ls7e_ard_3-1-0_089089_2016-03-26_final
2016-04-15 09:40:30	ga_ls7e_ard_3-1-0_094067_2016-04-15_final
2017-03-21 09:20:06	ga_ls7e_ard_3-0-0_090078_2017-03-20_final
2018-02-23 09:47:50	ga_ls7e_ard_3-0-0_095072_2018-02-23_final
2018-03-11 11:26:33	ga_ls7e_ard_3-0-0_111072_2018-03-11_final
2018-03-12 10:30:07	ga_ls7e_ard_3-0-0_102070_2018-03-12_final
2018-10-10 10:07:04	ga_ls7e_ard_3-0-0_098084_2018-10-10_final
2018-11-04 09:55:56	ga_ls7e_ard_3-0-0_097073_2018-11-04_final
2018-11-13 09:47:09	ga_ls7e_ard_3-0-0_096067_2018-11-13_final
2019-01-30 11:40:07	ga_ls7e_ard_3-0-0_114077_2019-01-30_final
2019-02-17 09:46:45	ga_ls7e_ard_3-1-0_096073_2019-02-17_final
2019-03-03 09:57:05	ga_ls7e_ard_3-1-0_098069_2019-03-03_final
2019-05-04 10:10:29	ga_ls7e_ard_3-0-0_100077_2019-05-04_final
2019-10-20 11:35:36	ga_ls7e_ard_3-1-0_115075_2019-10-20_final
2020-02-18 09:42:13	ga_ls7e_ard_3-1-0_098069_2020-02-18_final
2020-03-09 09:18:02	ga_ls7e_ard_3-1-0_094073_2020-03-08_final
2020-05-07 09:01:41	ga_ls7e_ard_3-1-0_091087_2020-05-06_final
2020-06-02 11:12:04	ga_ls7e_ard_3-1-0_113077_2020-06-02_final
2021-08-16 08:11:24	ga_ls7e_ard_3-2-0_089077_2021-08-15_final
2021-09-02 10:31:41	ga_ls7e_ard_3-2-0_112076_2021-09-02_final
2021-09-20 08:42:50	ga_ls7e_ard_3-2-0_094086_2021-09-19_final
2021-09-26 09:42:06	ga_ls7e_ard_3-2-0_104081_2021-09-26_final
2021-10-29 08:37:57	ga_ls7e_ard_3-2-0_095067_2021-10-28_final
2021-12-06 09:36:31	ga_ls7e_ard_3-2-1_105068_2021-12-06_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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