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

60 results

Time (local)	Label
2002-03-19 09:17:38	ga_ls7e_ard_3-0-0_091090_2002-03-18_final
2002-07-08 10:08:07	ga_ls7e_ard_3-0-0_100078_2002-07-08_final
2003-03-05 10:08:25	ga_ls7e_ard_3-0-0_100078_2003-03-05_final
2004-02-22 09:56:02	ga_ls7e_ard_3-0-0_098077_2004-02-22_final
2004-06-25 10:18:17	ga_ls7e_ard_3-0-0_102071_2004-06-25_final
2004-12-06 09:53:18	ga_ls7e_ard_3-0-0_098070_2004-12-06_final
2004-12-19 11:03:22	ga_ls7e_ard_3-0-0_109075_2004-12-19_final
2005-01-18 11:14:41	ga_ls7e_ard_3-0-0_111072_2005-01-18_final
2005-02-03 09:35:53	ga_ls7e_ard_3-0-0_095072_2005-02-03_final
2005-08-03 09:53:32	ga_ls7e_ard_3-0-0_098070_2005-08-03_final
2005-08-07 11:08:29	ga_ls7e_ard_3-1-0_110072_2005-08-07_final
2005-09-03 09:16:51	ga_ls7e_ard_3-0-0_091087_2005-09-02_final
2006-03-16 09:06:36	ga_ls7e_ard_3-0-0_089090_2006-03-15_final
2006-05-07 10:13:09	ga_ls7e_ard_3-0-0_101071_2006-05-07_final
2006-06-21 09:47:20	ga_ls7e_ard_3-1-0_096084_2006-06-21_final
2006-11-11 09:01:36	ga_ls7e_ard_3-0-0_089078_2006-11-10_final
2007-03-17 09:18:12	ga_ls7e_ard_3-0-0_091087_2007-03-16_final
2007-10-29 09:02:52	ga_ls7e_ard_3-1-0_089081_2007-10-28_final
2008-04-13 09:11:13	ga_ls7e_ard_3-0-0_090086_2008-04-12_final
2008-12-24 10:03:53	ga_ls7e_ard_3-0-0_099080_2008-12-24_final
2010-04-24 09:32:14	ga_ls7e_ard_3-0-0_093087_2010-04-24_final
2010-06-07 09:49:42	ga_ls7e_ard_3-0-0_097069_2010-06-07_final
2010-07-23 10:02:09	ga_ls7e_ard_3-0-0_099069_2010-07-23_final
2010-10-06 11:24:32	ga_ls7e_ard_3-0-0_112074_2010-10-06_final
2010-11-11 09:26:55	ga_ls7e_ard_3-0-0_092088_2010-11-10_final
2010-11-14 09:53:52	ga_ls7e_ard_3-0-0_097078_2010-11-14_final
2010-12-23 09:56:49	ga_ls7e_ard_3-0-0_098069_2010-12-23_final
2011-01-06 10:12:31	ga_ls7e_ard_3-0-0_100077_2011-01-06_final
2011-04-19 10:21:28	ga_ls7e_ard_3-0-0_101083_2011-04-19_final
2011-11-08 09:58:25	ga_ls7e_ard_3-0-0_098072_2011-11-08_final
2011-12-01 10:04:27	ga_ls7e_ard_3-0-0_099071_2011-12-01_final
2012-02-06 09:00:25	ga_ls7e_ard_3-0-0_088080_2012-02-05_final
2012-03-24 11:35:22	ga_ls7e_ard_3-0-0_113081_2012-03-24_final
2012-06-28 09:52:05	ga_ls7e_ard_3-0-0_097069_2012-06-28_final
2013-03-09 10:06:52	ga_ls7e_ard_3-0-0_099071_2013-03-09_final
2013-06-15 11:31:19	ga_ls7e_ard_3-0-0_113067_2013-06-15_final
2014-01-16 10:00:44	ga_ls7e_ard_3-0-0_098070_2014-01-16_final
2014-02-07 09:26:21	ga_ls7e_ard_3-0-0_092076_2014-02-06_final
2014-06-25 10:04:48	ga_ls7e_ard_3-0-0_098078_2014-06-25_final
2015-04-03 10:45:07	ga_ls7e_ard_3-0-0_104082_2015-04-03_final
2015-12-02 11:15:03	ga_ls7e_ard_3-0-0_109075_2015-12-02_final
2015-12-18 11:16:08	ga_ls7e_ard_3-0-0_109077_2015-12-18_final
2016-09-10 09:25:23	ga_ls7e_ard_3-0-0_090090_2016-09-09_final
2016-09-30 10:32:49	ga_ls7e_ard_3-1-0_102073_2016-09-30_final
2016-10-01 11:20:28	ga_ls7e_ard_3-0-0_109084_2016-10-01_final
2016-12-13 11:08:24	ga_ls7e_ard_3-0-0_108070_2016-12-13_final
2017-09-16 09:54:34	ga_ls7e_ard_3-0-0_095086_2017-09-16_final
2017-10-24 09:15:57	ga_ls7e_ard_3-0-0_089082_2017-10-23_final
2017-12-26 10:07:11	ga_ls7e_ard_3-0-0_098072_2017-12-26_final
2018-03-29 11:15:08	ga_ls7e_ard_3-0-0_109075_2018-03-29_final
2018-08-14 10:11:43	ga_ls7e_ard_3-0-0_099077_2018-08-14_final
2018-09-10 11:30:18	ga_ls7e_ard_3-0-0_112074_2018-09-10_final
2018-12-28 09:18:38	ga_ls7e_ard_3-0-0_091076_2018-12-27_final
2019-11-21 09:53:41	ga_ls7e_ard_3-1-0_099071_2019-11-21_final
2020-07-23 10:02:39	ga_ls7e_ard_3-1-0_102081_2020-07-23_final
2020-09-18 09:50:24	ga_ls7e_ard_3-1-0_101075_2020-09-18_final
2021-03-12 10:31:37	ga_ls7e_ard_3-2-0_110070_2021-03-12_final
2021-10-06 10:19:30	ga_ls7e_ard_3-2-0_110084_2021-10-06_final
2022-01-21 08:08:44	ga_ls7e_ard_3-2-1_091076_2022-01-20_final
2022-03-01 09:49:32	ga_ls7e_ard_3-2-1_108075_2022-03-01_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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