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

46 results

Time (local)	Label
1999-12-10 10:41:08	ga_ls7e_ard_3-0-0_105072_1999-12-10_final
2000-10-26 09:48:04	ga_ls7e_ard_3-0-0_096085_2000-10-26_final
2001-02-14 09:02:32	ga_ls7e_ard_3-0-0_089079_2001-02-13_final
2001-11-05 09:49:56	ga_ls7e_ard_3-0-0_097079_2001-11-05_final
2003-03-09 11:21:00	ga_ls7e_ard_3-0-0_112074_2003-03-09_final
2004-10-07 11:08:24	ga_ls7e_ard_3-0-0_110074_2004-10-07_final
2005-03-28 09:56:37	ga_ls7e_ard_3-0-0_098077_2005-03-28_final
2005-04-07 10:30:03	ga_ls7e_ard_3-0-0_104068_2005-04-07_final
2005-06-21 10:12:31	ga_ls7e_ard_3-0-0_101071_2005-06-21_final
2006-01-23 09:25:35	ga_ls7e_ard_3-0-0_093076_2006-01-22_final
2006-03-05 09:19:33	ga_ls7e_ard_3-0-0_092076_2006-03-04_final
2006-04-17 10:37:24	ga_ls7e_ard_3-0-0_105070_2006-04-17_final
2006-04-21 10:15:53	ga_ls7e_ard_3-0-0_101078_2006-04-21_final
2006-10-16 10:00:13	ga_ls7e_ard_3-0-0_099071_2006-10-16_final
2007-01-05 10:45:24	ga_ls7e_ard_3-0-0_106074_2007-01-05_final
2007-01-09 10:23:28	ga_ls7e_ard_3-0-0_102081_2007-01-09_final
2007-02-26 10:19:21	ga_ls7e_ard_3-0-0_102070_2007-02-26_final
2008-02-07 09:22:58	ga_ls7e_ard_3-0-0_092084_2008-02-06_final
2008-04-15 10:34:09	ga_ls7e_ard_3-0-0_104077_2008-04-15_final
2008-09-20 09:09:57	ga_ls7e_ard_3-0-0_090086_2008-09-19_final
2008-12-05 11:12:53	ga_ls7e_ard_3-0-0_110083_2008-12-05_final
2009-06-18 10:03:32	ga_ls7e_ard_3-0-0_099077_2009-06-18_final
2009-09-07 10:43:45	ga_ls7e_ard_3-0-0_106070_2009-09-07_final
2010-06-27 11:06:42	ga_ls7e_ard_3-0-0_109076_2010-06-27_final
2011-07-06 10:31:22	ga_ls7e_ard_3-0-0_103077_2011-07-06_final
2012-05-14 10:27:59	ga_ls7e_ard_3-0-0_102081_2012-05-14_final
2012-07-14 09:52:44	ga_ls7e_ard_3-0-0_097070_2012-07-14_final
2012-07-14 09:53:32	ga_ls7e_ard_3-0-0_097072_2012-07-14_final
2013-03-08 09:30:00	ga_ls7e_ard_3-1-0_092087_2013-03-08_final
2014-05-05 09:32:27	ga_ls7e_ard_3-0-0_093075_2014-05-05_final
2014-09-08 09:49:38	ga_ls7e_ard_3-0-0_095086_2014-09-08_final
2015-04-02 10:00:14	ga_ls7e_ard_3-0-0_097078_2015-04-02_final
2015-04-20 11:22:31	ga_ls7e_ard_3-0-0_111067_2015-04-20_final
2015-05-19 09:16:57	ga_ls7e_ard_3-0-0_090077_2015-05-18_final
2016-01-04 10:23:33	ga_ls7e_ard_3-0-0_100084_2016-01-04_final
2016-05-04 10:17:54	ga_ls7e_ard_3-0-0_099083_2016-05-04_final
2017-11-15 10:16:31	ga_ls7e_ard_3-0-0_099079_2017-11-15_final
2017-11-23 11:02:19	ga_ls7e_ard_3-0-0_107070_2017-11-23_final
2019-03-02 09:17:03	ga_ls7e_ard_3-1-0_091077_2019-03-01_final
2020-01-16 09:06:13	ga_ls7e_ard_3-1-0_091083_2020-01-15_final
2020-03-28 11:28:45	ga_ls7e_ard_3-1-0_115078_2020-03-28_final
2020-08-23 09:14:38	ga_ls7e_ard_3-1-0_095074_2020-08-22_final
2020-09-22 09:25:25	ga_ls7e_ard_3-1-0_097075_2020-09-21_final
2020-11-19 09:55:52	ga_ls7e_ard_3-1-0_103068_2020-11-19_final
2020-12-14 09:50:15	ga_ls7e_ard_3-1-0_102074_2020-12-14_final
2022-03-12 09:27:31	ga_ls7e_ard_3-2-1_105069_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

All years