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

83 results

Time (local)	Label
1999-10-03 11:07:09	ga_ls7e_ard_3-0-0_109075_1999-10-03_final
2000-03-27 11:06:41	ga_ls7e_ard_3-0-0_109075_2000-03-27_final
2000-07-10 09:20:35	ga_ls7e_ard_3-0-0_092075_2000-07-09_final
2001-02-24 11:13:40	ga_ls7e_ard_3-0-0_111067_2001-02-24_final
2001-10-18 11:41:05	ga_ls7e_ard_3-0-0_115079_2001-10-18_final
2002-03-08 11:06:02	ga_ls7e_ard_3-0-0_110067_2002-03-08_final
2002-04-12 09:58:45	ga_ls7e_ard_3-0-0_099069_2002-04-12_final
2002-06-14 09:19:35	ga_ls7e_ard_3-0-0_092080_2002-06-13_final
2003-04-10 09:44:32	ga_ls7e_ard_3-0-0_096080_2003-04-10_final
2003-11-16 10:07:53	ga_ls7e_ard_3-0-0_100077_2003-11-16_final
2004-02-02 10:19:09	ga_ls7e_ard_3-0-0_102073_2004-02-02_final
2004-03-23 10:08:59	ga_ls7e_ard_3-0-0_100078_2004-03-23_final
2004-04-02 10:46:03	ga_ls7e_ard_3-0-0_106078_2004-04-02_final
2004-06-25 10:17:53	ga_ls7e_ard_3-0-0_102070_2004-06-25_final
2004-07-26 11:14:59	ga_ls7e_ard_3-0-0_111074_2004-07-26_final
2004-11-14 10:34:57	ga_ls7e_ard_3-0-0_104082_2004-11-14_final
2005-02-12 11:09:29	ga_ls7e_ard_3-0-0_110074_2005-02-12_final
2005-03-11 10:54:39	ga_ls7e_ard_3-0-0_107083_2005-03-11_final
2005-03-28 09:59:24	ga_ls7e_ard_3-0-0_098084_2005-03-28_final
2005-10-21 09:16:28	ga_ls7e_ard_3-1-0_091086_2005-10-20_final
2006-02-04 09:47:59	ga_ls7e_ard_3-0-0_097070_2006-02-04_final
2006-06-11 09:11:06	ga_ls7e_ard_3-0-0_090086_2006-06-10_final
2007-03-01 09:18:33	ga_ls7e_ard_3-0-0_091088_2007-02-28_final
2007-05-06 10:40:14	ga_ls7e_ard_3-0-0_105076_2007-05-06_final
2007-08-25 11:31:48	ga_ls7e_ard_3-0-0_114067_2007-08-25_final
2007-09-11 10:39:38	ga_ls7e_ard_3-0-0_105076_2007-09-11_final
2008-05-12 10:17:29	ga_ls7e_ard_3-0-0_101082_2008-05-12_final
2009-02-12 09:47:50	ga_ls7e_ard_3-0-0_097070_2009-02-12_final
2009-02-19 10:00:05	ga_ls7e_ard_3-0-0_098085_2009-02-19_final
2009-04-15 10:01:04	ga_ls7e_ard_3-0-0_099071_2009-04-15_final
2009-05-08 10:07:20	ga_ls7e_ard_3-0-0_100071_2009-05-08_final
2009-07-19 10:58:15	ga_ls7e_ard_3-1-0_108075_2009-07-19_final
2010-02-11 10:15:21	ga_ls7e_ard_3-0-0_101072_2010-02-11_final
2010-05-03 11:02:31	ga_ls7e_ard_3-0-0_108081_2010-05-03_final
2010-05-30 09:08:38	ga_ls7e_ard_3-0-0_089090_2010-05-29_final
2011-03-11 10:13:39	ga_ls7e_ard_3-0-0_100079_2011-03-11_final
2011-03-21 10:46:21	ga_ls7e_ard_3-0-0_106068_2011-03-21_final
2012-04-11 11:17:44	ga_ls7e_ard_3-0-0_111068_2012-04-11_final
2012-09-23 10:04:51	ga_ls7e_ard_3-0-0_098083_2012-09-23_final
2013-11-15 09:53:09	ga_ls7e_ard_3-0-0_096083_2013-11-15_final
2013-12-08 10:00:18	ga_ls7e_ard_3-0-0_097085_2013-12-08_final
2014-03-01 10:30:23	ga_ls7e_ard_3-0-0_102082_2014-03-01_final
2014-04-20 10:16:51	ga_ls7e_ard_3-0-0_100078_2014-04-20_final
2014-05-17 09:58:29	ga_ls7e_ard_3-0-0_097078_2014-05-17_final
2014-07-08 11:11:39	ga_ls7e_ard_3-0-0_109075_2014-07-08_final
2014-07-28 09:12:07	ga_ls7e_ard_3-0-0_089085_2014-07-27_final
2015-02-03 09:26:45	ga_ls7e_ard_3-0-0_091088_2015-02-02_final
2015-03-31 10:12:11	ga_ls7e_ard_3-0-0_099077_2015-03-31_final
2015-04-08 09:27:14	ga_ls7e_ard_3-0-0_091088_2015-04-07_final
2015-06-07 11:25:15	ga_ls7e_ard_3-0-0_111073_2015-06-07_final
2016-04-19 11:00:40	ga_ls7e_ard_3-0-0_106082_2016-04-19_final
2016-06-09 09:48:56	ga_ls7e_ard_3-0-0_095072_2016-06-09_final
2016-12-11 11:22:22	ga_ls7e_ard_3-0-0_110074_2016-12-11_final
2017-07-28 11:44:41	ga_ls7e_ard_3-0-0_113083_2017-07-28_final
2017-11-06 10:22:19	ga_ls7e_ard_3-0-0_100078_2017-11-06_final
2017-11-10 09:54:24	ga_ls7e_ard_3-0-0_096070_2017-11-10_final
2018-01-17 11:13:04	ga_ls7e_ard_3-0-0_108083_2018-01-17_final
2018-04-19 11:32:57	ga_ls7e_ard_3-0-0_112074_2018-04-19_final
2018-06-09 10:25:42	ga_ls7e_ard_3-0-0_101078_2018-06-09_final
2018-07-28 09:33:09	ga_ls7e_ard_3-0-0_092088_2018-07-28_final
2018-07-31 09:59:37	ga_ls7e_ard_3-0-0_097077_2018-07-31_final
2018-08-04 09:38:25	ga_ls7e_ard_3-0-0_093086_2018-08-04_final
2018-10-21 11:23:33	ga_ls7e_ard_3-0-0_111075_2018-10-21_final
2019-01-19 10:22:08	ga_ls7e_ard_3-0-0_101082_2019-01-19_final
2019-02-24 11:32:00	ga_ls7e_ard_3-1-0_113074_2019-02-24_final
2019-03-30 09:40:27	ga_ls7e_ard_3-0-0_095076_2019-03-30_final
2019-04-26 09:25:44	ga_ls7e_ard_3-0-0_092088_2019-04-25_final
2019-06-16 09:50:20	ga_ls7e_ard_3-0-0_097077_2019-06-16_final
2019-09-11 09:55:48	ga_ls7e_ard_3-1-0_098084_2019-09-11_final
2019-10-15 11:14:05	ga_ls7e_ard_3-1-0_112067_2019-10-15_final
2020-01-13 10:09:33	ga_ls7e_ard_3-1-0_102071_2020-01-13_final
2020-01-16 09:08:13	ga_ls7e_ard_3-1-0_091088_2020-01-15_final
2020-04-22 11:16:44	ga_ls7e_ard_3-1-0_114067_2020-04-22_final
2020-06-01 10:30:04	ga_ls7e_ard_3-1-0_106080_2020-06-01_final
2020-06-06 10:45:55	ga_ls7e_ard_3-1-0_109074_2020-06-06_final
2020-10-02 10:04:15	ga_ls7e_ard_3-1-0_103081_2020-10-02_final
2020-10-17 10:53:20	ga_ls7e_ard_3-1-0_112067_2020-10-17_final
2021-02-24 10:35:15	ga_ls7e_ard_3-2-0_110076_2021-02-24_final
2021-03-19 10:36:02	ga_ls7e_ard_3-2-0_111067_2021-03-19_final
2021-04-17 10:09:08	ga_ls7e_ard_3-2-0_106083_2021-04-17_final
2021-04-26 09:56:36	ga_ls7e_ard_3-2-0_105069_2021-04-26_final
2021-07-02 10:27:30	ga_ls7e_ard_3-2-0_110083_2021-07-02_final
2022-01-28 09:50:43	ga_ls7e_ard_3-2-1_108070_2022-01-28_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