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

84 results

Time (local)	Label
1999-10-29 10:06:48	ga_ls7e_ard_3-0-0_099079_1999-10-29_final
1999-12-09 10:02:15	ga_ls7e_ard_3-0-0_098083_1999-12-09_final
1999-12-14 10:16:02	ga_ls7e_ard_3-0-0_101071_1999-12-14_final
2000-01-01 11:45:36	ga_ls7e_ard_3-0-0_115079_2000-01-01_final
2001-01-15 10:29:55	ga_ls7e_ard_3-0-0_103081_2001-01-15_final
2001-01-23 11:16:13	ga_ls7e_ard_3-0-0_111073_2001-01-23_final
2002-05-18 11:15:12	ga_ls7e_ard_3-0-0_111075_2002-05-18_final
2002-10-06 10:41:18	ga_ls7e_ard_3-0-0_106070_2002-10-06_final
2002-10-16 11:19:59	ga_ls7e_ard_3-0-0_112074_2002-10-16_final
2003-08-04 09:23:03	ga_ls7e_ard_3-0-0_092089_2003-08-03_final
2003-12-07 10:24:33	ga_ls7e_ard_3-0-0_103072_2003-12-07_final
2004-01-22 10:38:25	ga_ls7e_ard_3-0-0_105075_2004-01-22_final
2004-03-22 11:06:36	ga_ls7e_ard_3-0-0_109083_2004-03-22_final
2004-11-08 11:09:14	ga_ls7e_ard_3-0-0_110075_2004-11-08_final
2005-01-07 11:31:13	ga_ls7e_ard_3-0-0_114067_2005-01-07_final
2005-01-26 10:29:13	ga_ls7e_ard_3-0-0_103082_2005-01-26_final
2005-03-30 11:21:56	ga_ls7e_ard_3-0-0_112074_2005-03-30_final
2005-06-25 09:53:22	ga_ls7e_ard_3-0-0_097085_2005-06-25_final
2005-10-14 10:45:05	ga_ls7e_ard_3-0-0_106076_2005-10-14_final
2005-11-07 11:34:50	ga_ls7e_ard_3-0-0_114076_2005-11-07_final
2006-02-03 10:48:47	ga_ls7e_ard_3-0-0_106083_2006-02-03_final
2006-04-01 10:39:52	ga_ls7e_ard_3-0-0_105076_2006-04-01_final
2006-04-24 10:46:24	ga_ls7e_ard_3-0-0_106077_2006-04-24_final
2006-08-11 10:12:46	ga_ls7e_ard_3-0-0_101071_2006-08-11_final
2006-09-09 09:47:21	ga_ls7e_ard_3-0-0_096085_2006-09-09_final
2006-10-31 11:00:52	ga_ls7e_ard_3-0-0_108083_2006-10-31_final
2006-11-30 09:35:29	ga_ls7e_ard_3-0-0_094085_2006-11-30_final
2007-02-06 10:43:58	ga_ls7e_ard_3-0-0_106070_2007-02-06_final
2007-03-09 10:00:02	ga_ls7e_ard_3-0-0_099068_2007-03-09_final
2007-03-18 09:59:52	ga_ls7e_ard_3-0-0_098083_2007-03-18_final
2008-02-09 09:11:23	ga_ls7e_ard_3-0-0_090086_2008-02-08_final
2008-03-10 09:23:59	ga_ls7e_ard_3-0-0_092087_2008-03-09_final
2008-03-27 09:59:17	ga_ls7e_ard_3-0-0_099067_2008-03-27_final
2008-03-30 10:30:35	ga_ls7e_ard_3-0-0_104068_2008-03-30_final
2008-07-13 10:28:52	ga_ls7e_ard_3-0-0_103081_2008-07-13_final
2008-09-14 11:23:35	ga_ls7e_ard_3-1-0_112080_2008-09-14_final
2008-11-10 11:14:46	ga_ls7e_ard_3-0-0_111073_2008-11-10_final
2009-02-07 11:10:31	ga_ls7e_ard_3-0-0_110076_2009-02-07_final
2009-02-19 09:57:41	ga_ls7e_ard_3-0-0_098079_2009-02-19_final
2009-07-12 09:16:49	ga_ls7e_ard_3-0-0_091084_2009-07-11_final
2009-08-06 09:10:54	ga_ls7e_ard_3-1-0_090085_2009-08-05_final
2010-02-13 10:03:01	ga_ls7e_ard_3-0-0_099072_2010-02-13_final
2010-11-07 11:27:40	ga_ls7e_ard_3-0-0_112081_2010-11-07_final
2010-12-02 11:22:12	ga_ls7e_ard_3-1-0_111082_2010-12-02_final
2011-01-09 10:39:51	ga_ls7e_ard_3-0-0_105068_2011-01-09_final
2011-12-28 09:45:45	ga_ls7e_ard_3-0-0_096070_2011-12-28_final
2012-01-06 09:40:49	ga_ls7e_ard_3-1-0_095073_2012-01-06_final
2012-02-29 09:10:38	ga_ls7e_ard_3-0-0_089090_2012-02-28_final
2012-05-09 10:04:10	ga_ls7e_ard_3-0-0_099068_2012-05-09_final
2012-07-11 09:24:59	ga_ls7e_ard_3-0-0_092078_2012-07-10_final
2012-08-23 10:41:49	ga_ls7e_ard_3-0-0_105068_2012-08-23_final
2012-10-26 09:09:08	ga_ls7e_ard_3-0-0_089082_2012-10-25_final
2013-04-14 09:42:24	ga_ls7e_ard_3-0-0_095072_2013-04-14_final
2013-04-28 09:59:52	ga_ls7e_ard_3-0-0_097085_2013-04-28_final
2013-07-23 09:23:00	ga_ls7e_ard_3-0-0_091087_2013-07-22_final
2014-02-25 10:50:18	ga_ls7e_ard_3-0-0_106070_2014-02-25_final
2014-06-23 10:17:32	ga_ls7e_ard_3-0-0_100079_2014-06-23_final
2014-10-18 10:37:27	ga_ls7e_ard_3-0-0_103081_2014-10-18_final
2014-11-21 10:26:08	ga_ls7e_ard_3-0-0_101083_2014-11-21_final
2015-01-22 10:38:00	ga_ls7e_ard_3-0-0_103081_2015-01-22_final
2016-09-03 09:14:25	ga_ls7e_ard_3-0-0_089078_2016-09-02_final
2016-10-16 10:36:00	ga_ls7e_ard_3-0-0_102081_2016-10-16_final
2016-10-17 11:17:16	ga_ls7e_ard_3-0-0_109076_2016-10-17_final
2017-05-13 11:15:25	ga_ls7e_ard_3-0-0_109072_2017-05-13_final
2017-05-24 09:23:36	ga_ls7e_ard_3-0-0_090086_2017-05-23_final
2017-12-15 10:25:27	ga_ls7e_ard_3-0-0_101071_2017-12-15_final
2018-01-12 09:14:08	ga_ls7e_ard_3-0-0_089079_2018-01-11_final
2018-03-05 10:24:25	ga_ls7e_ard_3-0-0_101071_2018-03-05_final
2018-03-11 11:26:33	ga_ls7e_ard_3-0-0_111072_2018-03-11_final
2018-04-01 11:42:48	ga_ls7e_ard_3-0-0_114067_2018-04-01_final
2018-09-10 09:51:25	ga_ls7e_ard_3-0-0_096074_2018-09-10_final
2018-10-23 11:10:21	ga_ls7e_ard_3-0-0_109073_2018-10-23_final
2018-11-18 11:48:50	ga_ls7e_ard_3-0-0_115078_2018-11-18_final
2019-01-29 09:18:01	ga_ls7e_ard_3-0-0_091077_2019-01-28_final
2019-04-19 09:19:25	ga_ls7e_ard_3-0-0_091087_2019-04-18_final
2019-06-22 10:52:43	ga_ls7e_ard_3-0-0_107079_2019-06-22_final
2019-06-30 10:02:35	ga_ls7e_ard_3-0-0_099078_2019-06-30_final
2019-08-16 09:19:50	ga_ls7e_ard_3-0-0_092084_2019-08-15_final
2019-08-27 10:36:31	ga_ls7e_ard_3-1-0_105076_2019-08-27_final
2020-06-18 11:13:32	ga_ls7e_ard_3-1-0_113083_2020-06-18_final
2020-07-27 09:38:28	ga_ls7e_ard_3-1-0_098083_2020-07-27_final
2020-09-05 10:22:10	ga_ls7e_ard_3-1-0_106075_2020-09-05_final
2021-01-26 09:31:50	ga_ls7e_ard_3-2-0_099082_2021-01-26_final
2021-02-04 09:20:36	ga_ls7e_ard_3-2-0_098071_2021-02-03_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