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

90 results

Time (local)	Label
2000-02-07 10:26:00	ga_ls7e_ard_3-0-0_102081_2000-02-07_final
2000-10-01 09:53:36	ga_ls7e_ard_3-0-0_097083_2000-10-01_final
2001-05-10 09:19:03	ga_ls7e_ard_3-0-0_092075_2001-05-09_final
2001-08-05 11:02:47	ga_ls7e_ard_3-0-0_109074_2001-08-05_final
2002-08-20 11:29:46	ga_ls7e_ard_3-0-0_113082_2002-08-20_final
2003-04-07 09:16:25	ga_ls7e_ard_3-0-0_091087_2003-04-06_final
2003-04-13 10:13:02	ga_ls7e_ard_3-0-0_101074_2003-04-13_final
2003-05-17 11:41:30	ga_ls7e_ard_3-1-0_115079_2003-05-17_final
2003-11-09 11:39:17	ga_ls7e_ard_3-0-0_115074_2003-11-09_final
2004-04-23 11:03:15	ga_ls7e_ard_3-0-0_109075_2004-04-23_final
2004-05-03 11:41:34	ga_ls7e_ard_3-0-0_115078_2004-05-03_final
2004-08-16 09:58:08	ga_ls7e_ard_3-0-0_098083_2004-08-16_final
2004-12-13 10:00:18	ga_ls7e_ard_3-0-0_099072_2004-12-13_final
2005-04-14 10:40:58	ga_ls7e_ard_3-1-0_105080_2005-04-14_final
2005-04-26 09:21:36	ga_ls7e_ard_3-0-0_093067_2005-04-25_final
2005-06-13 11:03:35	ga_ls7e_ard_3-0-0_109075_2005-06-13_final
2005-09-30 08:55:48	ga_ls7e_ard_3-0-0_088081_2005-09-29_final
2005-11-30 10:00:18	ga_ls7e_ard_3-0-0_099071_2005-11-30_final
2005-12-06 11:06:07	ga_ls7e_ard_3-1-0_109081_2005-12-06_final
2006-02-11 11:36:40	ga_ls7e_ard_3-0-0_114079_2006-02-11_final
2006-05-07 10:15:56	ga_ls7e_ard_3-0-0_101078_2006-05-07_final
2006-06-07 11:09:32	ga_ls7e_ard_3-0-0_110073_2006-06-07_final
2007-02-21 10:04:22	ga_ls7e_ard_3-0-0_099079_2007-02-21_final
2007-03-05 10:26:21	ga_ls7e_ard_3-0-0_103072_2007-03-05_final
2007-05-21 09:56:52	ga_ls7e_ard_3-1-0_098076_2007-05-21_final
2007-08-13 11:07:10	ga_ls7e_ard_3-0-0_110067_2007-08-13_final
2007-10-23 11:15:10	ga_ls7e_ard_3-0-0_111072_2007-10-23_final
2007-12-15 09:54:03	ga_ls7e_ard_3-0-0_098069_2007-12-15_final
2008-09-14 09:41:06	ga_ls7e_ard_3-0-0_096071_2008-09-14_final
2008-10-13 09:15:30	ga_ls7e_ard_3-0-0_091085_2008-10-12_final
2008-10-21 11:39:35	ga_ls7e_ard_3-0-0_115074_2008-10-21_final
2009-04-29 10:13:29	ga_ls7e_ard_3-0-0_101071_2009-04-29_final
2009-05-02 10:44:48	ga_ls7e_ard_3-0-0_106072_2009-05-02_final
2009-06-01 09:25:05	ga_ls7e_ard_3-0-0_092089_2009-05-31_final
2010-04-24 09:27:27	ga_ls7e_ard_3-0-0_093075_2010-04-23_final
2010-05-20 11:42:54	ga_ls7e_ard_3-0-0_115074_2010-05-20_final
2011-02-11 09:50:48	ga_ls7e_ard_3-0-0_096084_2011-02-11_final
2011-07-16 09:32:21	ga_ls7e_ard_3-0-0_093084_2011-07-16_final
2011-12-03 09:51:19	ga_ls7e_ard_3-0-0_097069_2011-12-03_final
2012-02-28 09:58:40	ga_ls7e_ard_3-0-0_098071_2012-02-28_final
2012-03-10 09:45:16	ga_ls7e_ard_3-0-0_095084_2012-03-10_final
2012-07-13 09:17:27	ga_ls7e_ard_3-0-0_090090_2012-07-12_final
2012-08-12 11:03:27	ga_ls7e_ard_3-0-0_108076_2012-08-12_final
2013-03-09 10:10:28	ga_ls7e_ard_3-0-0_099080_2013-03-09_final
2013-04-04 10:45:51	ga_ls7e_ard_3-0-0_105076_2013-04-04_final
2013-07-01 09:58:41	ga_ls7e_ard_3-0-0_097083_2013-07-01_final
2013-10-04 09:17:44	ga_ls7e_ard_3-0-0_090088_2013-10-03_final
2014-03-28 10:11:16	ga_ls7e_ard_3-0-0_099080_2014-03-28_final
2014-04-06 10:01:08	ga_ls7e_ard_3-0-0_098070_2014-04-06_final
2014-06-05 10:25:28	ga_ls7e_ard_3-0-0_102068_2014-06-05_final
2014-08-22 10:43:39	ga_ls7e_ard_3-0-0_104082_2014-08-22_final
2014-10-29 10:17:25	ga_ls7e_ard_3-0-0_100077_2014-10-29_final
2015-01-23 09:39:36	ga_ls7e_ard_3-0-0_094074_2015-01-23_final
2015-05-02 10:12:26	ga_ls7e_ard_3-0-0_099077_2015-05-02_final
2015-06-12 10:04:33	ga_ls7e_ard_3-0-0_098072_2015-06-12_final
2015-09-19 10:35:48	ga_ls7e_ard_3-0-0_103072_2015-09-19_final
2015-09-24 09:20:39	ga_ls7e_ard_3-1-0_090085_2015-09-23_final
2015-10-31 11:18:09	ga_ls7e_ard_3-0-0_109084_2015-10-31_final
2016-03-05 11:27:41	ga_ls7e_ard_3-0-0_111073_2016-03-05_final
2016-07-07 11:54:58	ga_ls7e_ard_3-0-0_115078_2016-07-07_final
2016-10-11 10:16:40	ga_ls7e_ard_3-0-0_099079_2016-10-11_final
2016-11-30 11:40:57	ga_ls7e_ard_3-0-0_113074_2016-11-30_final
2017-02-06 11:16:30	ga_ls7e_ard_3-0-0_109076_2017-02-06_final
2017-05-23 10:16:25	ga_ls7e_ard_3-0-0_099079_2017-05-23_final
2017-06-03 10:00:44	ga_ls7e_ard_3-1-0_096086_2017-06-03_final
2017-09-12 10:12:55	ga_ls7e_ard_3-0-0_099070_2017-09-12_final
2017-09-16 09:46:59	ga_ls7e_ard_3-0-0_095067_2017-09-16_final
2017-09-25 09:47:12	ga_ls7e_ard_3-1-0_094083_2017-09-25_final
2017-10-28 10:30:31	ga_ls7e_ard_3-0-0_101083_2017-10-28_final
2017-12-01 10:13:13	ga_ls7e_ard_3-0-0_099071_2017-12-01_final
2017-12-25 11:02:25	ga_ls7e_ard_3-0-0_107071_2017-12-25_final
2018-02-07 11:30:28	ga_ls7e_ard_3-0-0_111081_2018-02-07_final
2018-07-15 09:58:41	ga_ls7e_ard_3-0-0_097074_2018-07-15_final
2018-11-24 11:10:25	ga_ls7e_ard_3-0-0_109075_2018-11-24_final
2019-03-25 11:02:57	ga_ls7e_ard_3-1-0_108081_2019-03-25_final
2019-05-09 10:26:50	ga_ls7e_ard_3-0-0_103072_2019-05-09_final
2019-05-18 10:19:06	ga_ls7e_ard_3-0-0_102069_2019-05-18_final
2019-08-08 10:07:37	ga_ls7e_ard_3-0-0_100079_2019-08-08_final
2020-01-06 10:07:19	ga_ls7e_ard_3-1-0_101080_2020-01-06_final
2020-05-19 09:24:28	ga_ls7e_ard_3-1-0_095084_2020-05-18_final
2020-06-24 08:58:25	ga_ls7e_ard_3-1-0_091086_2020-06-23_final
2020-07-08 10:44:50	ga_ls7e_ard_3-1-0_109076_2020-07-08_final
2020-08-16 10:50:11	ga_ls7e_ard_3-1-0_110080_2020-08-16_final
2020-11-29 10:34:38	ga_ls7e_ard_3-1-0_109074_2020-11-29_final
2020-12-02 09:30:49	ga_ls7e_ard_3-1-0_098085_2020-12-02_final
2021-04-15 10:20:28	ga_ls7e_ard_3-2-0_108080_2021-04-15_final
2021-08-11 09:30:36	ga_ls7e_ard_3-2-0_102073_2021-08-11_final
2021-08-23 08:18:59	ga_ls7e_ard_3-2-0_090082_2021-08-22_final
2021-09-30 09:13:02	ga_ls7e_ard_3-2-0_100071_2021-09-29_final
2022-03-26 09:40:54	ga_ls7e_ard_3-2-1_107075_2022-03-26_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