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

54 results

Time (local)	Label
1999-11-30 11:45:11	ga_ls7e_ard_3-0-0_115078_1999-11-30_final
2000-03-21 11:44:37	ga_ls7e_ard_3-0-0_115077_2000-03-21_final
2000-11-08 10:52:04	ga_ls7e_ard_3-0-0_107075_2000-11-08_final
2001-01-03 10:00:18	ga_ls7e_ard_3-0-0_099069_2001-01-03_final
2001-11-19 10:01:39	ga_ls7e_ard_3-0-0_099077_2001-11-19_final
2002-07-16 10:55:54	ga_ls7e_ard_3-0-0_108074_2002-07-16_final
2002-08-03 10:43:47	ga_ls7e_ard_3-1-0_106075_2002-08-03_final
2003-01-04 11:17:48	ga_ls7e_ard_3-0-0_112067_2003-01-04_final
2004-02-22 09:54:02	ga_ls7e_ard_3-0-0_098072_2004-02-22_final
2004-10-14 11:14:16	ga_ls7e_ard_3-0-0_111073_2004-10-14_final
2005-01-21 10:11:06	ga_ls7e_ard_3-0-0_100083_2005-01-21_final
2005-04-01 11:07:58	ga_ls7e_ard_3-0-0_110070_2005-04-01_final
2005-05-22 11:41:36	ga_ls7e_ard_3-1-0_115077_2005-05-22_final
2005-10-24 11:18:43	ga_ls7e_ard_3-0-0_112067_2005-10-24_final
2005-12-17 10:45:36	ga_ls7e_ard_3-0-0_106076_2005-12-17_final
2006-02-18 10:03:11	ga_ls7e_ard_3-0-0_099077_2006-02-18_final
2006-04-07 09:59:59	ga_ls7e_ard_3-0-0_099069_2006-04-07_final
2006-07-19 10:07:04	ga_ls7e_ard_3-0-0_100072_2006-07-19_final
2006-11-18 09:07:27	ga_ls7e_ard_3-0-0_090077_2006-11-17_final
2007-04-14 11:16:12	ga_ls7e_ard_3-0-0_111073_2007-04-14_final
2007-05-06 10:40:14	ga_ls7e_ard_3-0-0_105076_2007-05-06_final
2007-08-27 11:19:26	ga_ls7e_ard_3-0-0_112067_2007-08-27_final
2007-12-19 11:08:38	ga_ls7e_ard_3-0-0_110070_2007-12-19_final
2008-10-26 10:22:07	ga_ls7e_ard_3-0-0_102081_2008-10-26_final
2009-01-09 10:03:11	ga_ls7e_ard_3-0-0_099078_2009-01-09_final
2009-03-31 10:43:03	ga_ls7e_ard_3-0-0_106068_2009-03-31_final
2009-04-06 10:07:12	ga_ls7e_ard_3-0-0_100071_2009-04-06_final
2010-03-21 09:36:34	ga_ls7e_ard_3-0-0_095067_2010-03-21_final
2011-03-28 10:54:09	ga_ls7e_ard_3-0-0_107072_2011-03-28_final
2011-12-21 09:38:18	ga_ls7e_ard_3-0-0_095067_2011-12-21_final
2012-04-11 09:38:27	ga_ls7e_ard_3-0-0_095067_2012-04-11_final
2012-09-06 11:00:19	ga_ls7e_ard_3-0-0_107083_2012-09-06_final
2013-01-28 11:01:09	ga_ls7e_ard_3-0-0_107083_2013-01-28_final
2013-03-16 10:15:25	ga_ls7e_ard_3-0-0_100077_2013-03-16_final
2014-01-25 09:54:20	ga_ls7e_ard_3-0-0_097069_2014-01-25_final
2016-07-02 11:32:02	ga_ls7e_ard_3-0-0_112067_2016-07-02_final
2016-08-20 10:42:04	ga_ls7e_ard_3-0-0_103081_2016-08-20_final
2016-09-24 09:35:23	ga_ls7e_ard_3-0-0_092084_2016-09-24_final
2016-12-30 10:16:15	ga_ls7e_ard_3-0-0_099079_2016-12-30_final
2017-03-13 10:06:18	ga_ls7e_ard_3-0-0_098070_2017-03-13_final
2017-07-10 10:16:11	ga_ls7e_ard_3-0-0_099078_2017-07-10_final
2017-07-21 11:32:08	ga_ls7e_ard_3-0-0_112067_2017-07-21_final
2017-08-06 11:32:06	ga_ls7e_ard_3-0-0_112067_2017-08-06_final
2018-01-29 11:31:13	ga_ls7e_ard_3-0-0_112067_2018-01-29_final
2018-06-15 09:44:07	ga_ls7e_ard_3-0-0_095067_2018-06-15_final
2018-10-21 09:41:29	ga_ls7e_ard_3-0-0_095067_2018-10-21_final
2018-12-04 10:06:45	ga_ls7e_ard_3-0-0_099071_2018-12-04_final
2019-05-22 09:54:13	ga_ls7e_ard_3-0-0_098069_2019-05-22_final
2019-08-05 09:32:03	ga_ls7e_ard_3-0-0_095067_2019-08-05_final
2020-01-25 10:32:29	ga_ls7e_ard_3-1-0_106068_2020-01-25_final
2020-05-21 10:47:16	ga_ls7e_ard_3-1-0_109075_2020-05-21_final
2020-08-14 09:22:59	ga_ls7e_ard_3-1-0_096078_2020-08-13_final
2021-07-25 08:46:27	ga_ls7e_ard_3-2-0_095067_2021-07-24_final
2022-04-03 08:47:54	ga_ls7e_ard_3-2-1_099068_2022-04-02_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

All years