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:

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First 100 results (query limit)

Time (local)	Label
2000-09-17 09:37:21	ga_ls7e_ard_3-1-0_095073_2000-09-17_final
2001-01-07 09:36:50	ga_ls7e_ard_3-0-0_095072_2001-01-07_final
2001-02-10 11:06:56	ga_ls7e_ard_3-1-0_109081_2001-02-10_final
2001-05-27 11:42:12	ga_ls7e_ard_3-0-0_115078_2001-05-27_final
2003-04-01 11:27:10	ga_ls7e_ard_3-0-0_113074_2003-04-01_final
2003-07-31 11:23:30	ga_ls7e_ard_3-0-0_112081_2003-07-31_final
2003-10-03 11:20:26	ga_ls7e_ard_3-0-0_112074_2003-10-03_final
2003-11-13 11:13:50	ga_ls7e_ard_3-0-0_111072_2003-11-13_final
2003-12-08 11:09:01	ga_ls7e_ard_3-0-0_110075_2003-12-08_final
2004-04-05 11:14:32	ga_ls7e_ard_3-0-0_111072_2004-04-05_final
2004-07-08 11:31:02	ga_ls7e_ard_3-0-0_113083_2004-07-08_final
2004-11-15 11:14:13	ga_ls7e_ard_3-0-0_111072_2004-11-15_final
2004-12-17 09:35:37	ga_ls7e_ard_3-0-0_095072_2004-12-17_final
2005-01-09 11:21:39	ga_ls7e_ard_3-0-0_112074_2005-01-09_final
2005-01-14 11:41:48	ga_ls7e_ard_3-0-0_115078_2005-01-14_final
2005-02-05 11:02:50	ga_ls7e_ard_3-0-0_109073_2005-02-05_final
2005-02-28 11:08:23	ga_ls7e_ard_3-0-0_110071_2005-02-28_final
2005-06-04 11:10:38	ga_ls7e_ard_3-0-0_110077_2005-06-04_final
2005-06-18 11:24:30	ga_ls7e_ard_3-0-0_112081_2005-06-18_final
2005-10-03 11:03:11	ga_ls7e_ard_3-0-0_109075_2005-10-03_final
2005-10-17 11:18:26	ga_ls7e_ard_3-1-0_111082_2005-10-17_final
2006-02-18 11:42:28	ga_ls7e_ard_3-0-0_115078_2006-02-18_final
2006-10-02 11:31:27	ga_ls7e_ard_3-0-0_113083_2006-10-02_final
2006-12-30 11:22:29	ga_ls7e_ard_3-0-0_112074_2006-12-30_final
2007-06-01 11:15:32	ga_ls7e_ard_3-0-0_111072_2007-06-01_final
2007-11-03 11:01:32	ga_ls7e_ard_3-0-0_108084_2007-11-03_final
2007-11-15 11:25:34	ga_ls7e_ard_3-0-0_112082_2007-11-15_final
2008-04-25 11:09:36	ga_ls7e_ard_3-0-0_110073_2008-04-25_final
2008-05-11 11:10:43	ga_ls7e_ard_3-0-0_110076_2008-05-11_final
2008-06-12 11:09:40	ga_ls7e_ard_3-0-0_110074_2008-06-12_final
2008-06-28 11:13:30	ga_ls7e_ard_3-0-0_110084_2008-06-28_final
2008-07-19 11:31:47	ga_ls7e_ard_3-0-0_113084_2008-07-19_final
2008-09-12 11:35:33	ga_ls7e_ard_3-0-0_114079_2008-09-12_final
2008-11-26 11:12:35	ga_ls7e_ard_3-0-0_111067_2008-11-26_final
2008-12-23 10:58:18	ga_ls7e_ard_3-0-0_108077_2008-12-23_final
2009-04-26 11:19:52	ga_ls7e_ard_3-0-0_112067_2009-04-26_final
2009-09-08 11:31:48	ga_ls7e_ard_3-0-0_113082_2009-09-08_final
2010-07-16 11:38:26	ga_ls7e_ard_3-0-0_114078_2010-07-16_final
2011-06-12 09:45:59	ga_ls7e_ard_3-0-0_095087_2011-06-12_final
2011-07-07 11:17:25	ga_ls7e_ard_3-0-0_110084_2011-07-07_final
2011-10-02 11:18:33	ga_ls7e_ard_3-0-0_111072_2011-10-02_final
2012-01-11 11:38:39	ga_ls7e_ard_3-0-0_114074_2012-01-11_final
2013-01-19 11:07:42	ga_ls7e_ard_3-0-0_108084_2013-01-19_final
2013-02-09 11:21:54	ga_ls7e_ard_3-0-0_111073_2013-02-09_final
2013-04-14 09:46:48	ga_ls7e_ard_3-0-0_095083_2013-04-14_final
2013-06-12 11:05:13	ga_ls7e_ard_3-0-0_108079_2013-06-12_final
2013-06-19 11:12:57	ga_ls7e_ard_3-0-0_109083_2013-06-19_final
2014-01-18 11:31:42	ga_ls7e_ard_3-0-0_112081_2014-01-18_final
2014-06-06 11:11:08	ga_ls7e_ard_3-0-0_109074_2014-06-06_final
2014-07-18 11:50:20	ga_ls7e_ard_3-0-0_115079_2014-07-18_final
2014-08-23 09:49:13	ga_ls7e_ard_3-0-0_095085_2014-08-23_final
2016-03-21 11:28:13	ga_ls7e_ard_3-0-0_111074_2016-03-21_final
2016-04-06 11:28:40	ga_ls7e_ard_3-0-0_111075_2016-04-06_final
2016-04-22 09:46:44	ga_ls7e_ard_3-0-0_095067_2016-04-22_final
2016-07-11 09:49:21	ga_ls7e_ard_3-1-0_095073_2016-07-11_final
2016-07-22 11:11:44	ga_ls7e_ard_3-0-0_108078_2016-07-22_final
2016-10-20 11:49:45	ga_ls7e_ard_3-0-0_114080_2016-10-20_final
2017-01-31 11:52:49	ga_ls7e_ard_3-0-0_115074_2017-01-31_final
2017-06-08 11:53:48	ga_ls7e_ard_3-0-0_115075_2017-06-08_final
2017-10-14 11:55:02	ga_ls7e_ard_3-0-0_115078_2017-10-14_final
2018-02-02 11:12:49	ga_ls7e_ard_3-0-0_108083_2018-02-02_final
2018-02-09 11:15:18	ga_ls7e_ard_3-0-0_109074_2018-02-09_final
2018-03-04 11:22:26	ga_ls7e_ard_3-0-0_110077_2018-03-04_final
2018-04-28 11:25:48	ga_ls7e_ard_3-0-0_111072_2018-04-28_final
2018-06-01 11:12:53	ga_ls7e_ard_3-0-0_109072_2018-06-01_final
2018-08-09 11:34:33	ga_ls7e_ard_3-0-0_112083_2018-08-09_final
2019-02-19 11:14:01	ga_ls7e_ard_3-1-0_110075_2019-02-19_final
2019-03-28 11:30:58	ga_ls7e_ard_3-1-0_113074_2019-03-28_final
2019-08-07 11:01:17	ga_ls7e_ard_3-0-0_109074_2019-08-07_final
2019-09-02 11:39:15	ga_ls7e_ard_3-1-0_115079_2019-09-02_final
2019-10-10 11:02:32	ga_ls7e_ard_3-1-0_109084_2019-10-10_final
2019-10-13 11:30:55	ga_ls7e_ard_3-1-0_114078_2019-10-13_final
2019-11-11 11:01:08	ga_ls7e_ard_3-1-0_109084_2019-11-11_final
2019-12-27 11:10:02	ga_ls7e_ard_3-1-0_111081_2019-12-27_final
2020-02-13 11:04:25	ga_ls7e_ard_3-1-0_111073_2020-02-13_final
2020-02-15 10:54:21	ga_ls7e_ard_3-1-0_109079_2020-02-15_final
2020-05-15 11:25:31	ga_ls7e_ard_3-1-0_115077_2020-05-15_final
2020-05-26 11:02:18	ga_ls7e_ard_3-1-0_112067_2020-05-26_final
2020-11-11 10:47:04	ga_ls7e_ard_3-1-0_111071_2020-11-11_final
2021-03-06 09:35:28	ga_ls7e_ard_3-2-0_100083_2021-03-06_final
2021-04-27 09:02:06	ga_ls7e_ard_3-2-0_096072_2021-04-26_final
2021-06-19 09:15:49	ga_ls7e_ard_3-2-0_099071_2021-06-18_final
2021-06-20 08:27:18	ga_ls7e_ard_3-2-0_090089_2021-06-19_final
2021-07-05 10:54:33	ga_ls7e_ard_3-2-0_115074_2021-07-05_final
2021-07-13 08:31:32	ga_ls7e_ard_3-2-0_091089_2021-07-12_final
2021-07-15 08:14:13	ga_ls7e_ard_3-2-0_089077_2021-07-14_final
2021-07-20 10:09:13	ga_ls7e_ard_3-2-0_108072_2021-07-20_final
2021-08-10 08:52:13	ga_ls7e_ard_3-2-0_095085_2021-08-09_final
2021-08-30 08:26:33	ga_ls7e_ard_3-2-0_091087_2021-08-29_final
2021-10-31 10:10:40	ga_ls7e_ard_3-2-0_109083_2021-10-31_final
2021-11-02 08:19:38	ga_ls7e_ard_3-2-0_091084_2021-11-01_final
2021-11-15 09:21:59	ga_ls7e_ard_3-2-1_102073_2021-11-14_final
2021-12-02 08:29:55	ga_ls7e_ard_3-2-1_093086_2021-12-01_final
2021-12-05 09:00:08	ga_ls7e_ard_3-2-1_098085_2021-12-04_final
2021-12-13 08:09:57	ga_ls7e_ard_3-2-1_090085_2021-12-12_final
2021-12-27 08:18:32	ga_ls7e_ard_3-2-1_092079_2021-12-26_final
2021-12-27 09:59:01	ga_ls7e_ard_3-2-1_108083_2021-12-27_final
2021-12-29 08:09:58	ga_ls7e_ard_3-2-1_090089_2021-12-28_final
2021-12-30 10:26:01	ga_ls7e_ard_3-2-1_113074_2021-12-30_final
2022-02-24 09:33:52	ga_ls7e_ard_3-2-1_105081_2022-02-24_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