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
2000-01-18 10:45:34	ga_ls7e_ard_3-0-0_106068_2000-01-18_final
2000-01-26 09:59:21	ga_ls7e_ard_3-0-0_098076_2000-01-26_final
2000-03-14 10:02:18	ga_ls7e_ard_3-0-0_098084_2000-03-14_final
2000-10-06 10:09:43	ga_ls7e_ard_3-0-0_100077_2000-10-06_final
2001-03-19 09:40:49	ga_ls7e_ard_3-0-0_096067_2001-03-19_final
2001-04-13 09:34:32	ga_ls7e_ard_3-0-0_095067_2001-04-13_final
2001-05-26 10:57:22	ga_ls7e_ard_3-0-0_108074_2001-05-26_final
2001-07-29 10:56:44	ga_ls7e_ard_3-0-0_108074_2001-07-29_final
2001-08-14 10:56:24	ga_ls7e_ard_3-0-0_108074_2001-08-14_final
2001-10-01 10:58:40	ga_ls7e_ard_3-0-0_108081_2001-10-01_final
2002-03-19 10:50:32	ga_ls7e_ard_3-0-0_107075_2002-03-19_final
2003-03-06 10:50:30	ga_ls7e_ard_3-0-0_107075_2003-03-06_final
2003-10-17 09:53:33	ga_ls7e_ard_3-0-0_098073_2003-10-17_final
2004-07-30 10:50:37	ga_ls7e_ard_3-0-0_107075_2004-07-30_final
2004-10-14 09:32:59	ga_ls7e_ard_3-0-0_095067_2004-10-14_final
2004-11-10 10:54:29	ga_ls7e_ard_3-0-0_108069_2004-11-10_final
2005-03-02 10:56:49	ga_ls7e_ard_3-0-0_108073_2005-03-02_final
2005-06-15 09:18:19	ga_ls7e_ard_3-0-0_091090_2005-06-14_final
2005-07-26 10:45:24	ga_ls7e_ard_3-0-0_106076_2005-07-26_final
2006-01-09 10:51:35	ga_ls7e_ard_3-0-0_107075_2006-01-09_final
2006-07-13 10:43:24	ga_ls7e_ard_3-0-0_106070_2006-07-13_final
2007-02-25 09:37:16	ga_ls7e_ard_3-1-0_095073_2007-02-25_final
2007-04-30 09:34:52	ga_ls7e_ard_3-0-0_095067_2007-04-30_final
2007-05-12 10:04:18	ga_ls7e_ard_3-0-0_099079_2007-05-12_final
2008-04-20 09:13:23	ga_ls7e_ard_3-0-0_091076_2008-04-19_final
2008-09-02 09:22:05	ga_ls7e_ard_3-0-0_092085_2008-09-01_final
2009-07-17 11:13:49	ga_ls7e_ard_3-0-0_110083_2009-07-17_final
2009-09-10 11:16:15	ga_ls7e_ard_3-0-0_111074_2009-09-10_final
2009-11-09 10:03:39	ga_ls7e_ard_3-0-0_099077_2009-11-09_final
2010-03-18 10:44:56	ga_ls7e_ard_3-0-0_106068_2010-03-18_final
2010-04-24 09:30:14	ga_ls7e_ard_3-0-0_093082_2010-04-24_final
2010-06-15 10:41:56	ga_ls7e_ard_3-0-0_105076_2010-06-15_final
2010-08-12 09:36:37	ga_ls7e_ard_3-0-0_095067_2010-08-12_final
2010-12-18 09:43:26	ga_ls7e_ard_3-0-0_095082_2010-12-18_final
2011-03-08 09:37:58	ga_ls7e_ard_3-0-0_095067_2011-03-08_final
2011-07-26 11:46:17	ga_ls7e_ard_3-0-0_115079_2011-07-26_final
2011-09-29 09:14:20	ga_ls7e_ard_3-0-0_090086_2011-09-28_final
2012-01-04 09:57:58	ga_ls7e_ard_3-0-0_097085_2012-01-04_final
2012-01-19 10:52:47	ga_ls7e_ard_3-0-0_106083_2012-01-19_final
2013-01-04 11:48:58	ga_ls7e_ard_3-0-0_115079_2013-01-04_final
2013-05-05 09:59:15	ga_ls7e_ard_3-0-0_098068_2013-05-05_final
2014-06-11 09:48:00	ga_ls7e_ard_3-0-0_096067_2014-06-11_final
2015-03-09 10:50:41	ga_ls7e_ard_3-0-0_105081_2015-03-09_final
2015-12-23 11:30:45	ga_ls7e_ard_3-0-0_112067_2015-12-23_final
2016-02-02 09:46:13	ga_ls7e_ard_3-0-0_095067_2016-02-02_final
2016-06-20 11:10:30	ga_ls7e_ard_3-1-0_108075_2016-06-20_final
2016-07-10 10:46:34	ga_ls7e_ard_3-0-0_104077_2016-07-10_final
2016-09-22 11:26:38	ga_ls7e_ard_3-0-0_110084_2016-09-22_final
2016-12-02 09:46:55	ga_ls7e_ard_3-0-0_095067_2016-12-02_final
2017-08-04 10:12:22	ga_ls7e_ard_3-0-0_098084_2017-08-04_final
2017-08-22 09:53:12	ga_ls7e_ard_3-0-0_096067_2017-08-22_final
2017-09-03 10:19:31	ga_ls7e_ard_3-0-0_100071_2017-09-03_final
2017-09-22 10:51:59	ga_ls7e_ard_3-0-0_105075_2017-09-22_final
2018-03-11 11:26:33	ga_ls7e_ard_3-0-0_111072_2018-03-11_final
2018-05-20 10:49:57	ga_ls7e_ard_3-0-0_105076_2018-05-20_final
2018-12-20 10:05:55	ga_ls7e_ard_3-0-0_099070_2018-12-20_final
2019-02-19 11:14:25	ga_ls7e_ard_3-1-0_110076_2019-02-19_final
2019-03-16 11:07:26	ga_ls7e_ard_3-1-0_109076_2019-03-16_final
2020-12-21 09:55:54	ga_ls7e_ard_3-1-0_103074_2020-12-21_final
2020-12-30 09:47:30	ga_ls7e_ard_3-1-0_102070_2020-12-30_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