Search ga_ls7e_ard_3 whole collection

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

57 results

Time (local)	Label
2000-03-11 11:08:18	ga_ls7e_ard_3-0-0_109079_2000-03-11_final
2001-05-02 10:06:59	ga_ls7e_ard_3-0-0_100071_2001-05-02_final
2002-07-17 10:01:28	ga_ls7e_ard_3-0-0_099077_2002-07-17_final
2003-11-09 09:58:24	ga_ls7e_ard_3-0-0_099069_2003-11-09_final
2003-11-25 10:01:47	ga_ls7e_ard_3-0-0_099077_2003-11-25_final
2004-01-04 09:12:36	ga_ls7e_ard_3-0-0_091077_2004-01-03_final
2004-01-18 11:03:06	ga_ls7e_ard_3-0-0_109075_2004-01-18_final
2004-08-23 11:40:23	ga_ls7e_ard_3-0-0_115076_2004-08-23_final
2004-09-19 11:20:53	ga_ls7e_ard_3-0-0_112074_2004-09-19_final
2004-10-15 10:21:51	ga_ls7e_ard_3-0-0_102081_2004-10-15_final
2004-11-21 09:00:43	ga_ls7e_ard_3-0-0_089078_2004-11-20_final
2005-02-14 10:59:56	ga_ls7e_ard_3-0-0_108081_2005-02-14_final
2005-02-22 10:06:33	ga_ls7e_ard_3-0-0_100071_2005-02-22_final
2005-10-21 09:16:52	ga_ls7e_ard_3-0-0_091087_2005-10-20_final
2006-01-26 09:56:54	ga_ls7e_ard_3-0-0_098077_2006-01-26_final
2006-02-02 10:00:44	ga_ls7e_ard_3-0-0_099071_2006-02-02_final
2006-04-17 10:37:24	ga_ls7e_ard_3-0-0_105070_2006-04-17_final
2006-11-03 09:53:20	ga_ls7e_ard_3-1-0_097084_2006-11-03_final
2006-11-21 11:15:17	ga_ls7e_ard_3-0-0_111072_2006-11-21_final
2007-05-19 10:10:02	ga_ls7e_ard_3-0-0_100078_2007-05-19_final
2007-10-19 11:42:14	ga_ls7e_ard_3-0-0_115078_2007-10-19_final
2008-01-03 10:29:47	ga_ls7e_ard_3-0-0_103081_2008-01-03_final
2008-10-06 09:11:23	ga_ls7e_ard_3-0-0_090090_2008-10-05_final
2008-10-14 09:58:23	ga_ls7e_ard_3-0-0_098084_2008-10-14_final
2009-04-07 09:13:59	ga_ls7e_ard_3-0-0_091077_2009-04-06_final
2009-11-23 10:16:11	ga_ls7e_ard_3-0-0_101077_2009-11-23_final
2010-01-08 10:27:15	ga_ls7e_ard_3-0-0_103072_2010-01-08_final
2011-01-24 09:57:06	ga_ls7e_ard_3-0-0_098069_2011-01-24_final
2011-10-30 11:45:46	ga_ls7e_ard_3-0-0_115078_2011-10-30_final
2012-01-06 11:17:19	ga_ls7e_ard_3-0-0_111067_2012-01-06_final
2012-01-18 10:04:44	ga_ls7e_ard_3-0-0_099071_2012-01-18_final
2012-07-27 09:29:09	ga_ls7e_ard_3-0-0_092088_2012-07-26_final
2012-09-25 11:30:36	ga_ls7e_ard_3-0-0_112081_2012-09-25_final
2012-11-16 09:22:13	ga_ls7e_ard_3-0-0_092068_2012-11-15_final
2013-06-10 09:41:05	ga_ls7e_ard_3-0-0_094085_2013-06-10_final
2013-07-08 11:37:16	ga_ls7e_ard_3-0-0_114067_2013-07-08_final
2014-03-02 09:31:59	ga_ls7e_ard_3-0-0_093075_2014-03-02_final
2014-05-06 10:18:55	ga_ls7e_ard_3-0-0_100083_2014-05-06_final
2014-09-14 10:44:15	ga_ls7e_ard_3-0-0_105068_2014-09-14_final
2014-10-16 09:10:54	ga_ls7e_ard_3-1-0_089081_2014-10-15_final
2015-02-27 10:09:10	ga_ls7e_ard_3-0-0_099070_2015-02-27_final
2016-07-27 09:54:35	ga_ls7e_ard_3-0-0_095086_2016-07-27_final
2017-08-20 10:12:20	ga_ls7e_ard_3-0-0_098084_2017-08-20_final
2017-09-28 10:16:54	ga_ls7e_ard_3-0-0_099080_2017-09-28_final
2017-12-16 11:09:30	ga_ls7e_ard_3-0-0_108073_2017-12-16_final
2018-03-04 11:23:38	ga_ls7e_ard_3-0-0_110080_2018-03-04_final
2018-07-22 10:03:09	ga_ls7e_ard_3-0-0_098070_2018-07-22_final
2018-08-12 10:26:30	ga_ls7e_ard_3-0-0_101083_2018-08-12_final
2018-12-26 11:12:44	ga_ls7e_ard_3-0-0_109083_2018-12-26_final
2019-03-12 09:51:01	ga_ls7e_ard_3-1-0_097070_2019-03-12_final
2019-04-28 09:08:54	ga_ls7e_ard_3-0-0_090077_2019-04-27_final
2019-08-01 10:00:55	ga_ls7e_ard_3-0-0_099077_2019-08-01_final
2020-06-20 09:15:48	ga_ls7e_ard_3-1-0_095067_2020-06-19_final
2020-09-22 11:03:53	ga_ls7e_ard_3-1-0_113074_2020-09-22_final
2021-02-11 09:28:39	ga_ls7e_ard_3-2-0_099077_2021-02-10_final
2021-11-02 08:16:51	ga_ls7e_ard_3-2-0_091077_2021-11-01_final
2022-03-12 07:53:01	ga_ls7e_ard_3-2-1_089080_2022-03-11_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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