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

95 results

Time (local)	Label
2000-01-12 09:51:00	ga_ls7e_ard_3-1-0_096086_2000-01-12_final
2000-03-05 10:02:32	ga_ls7e_ard_3-0-0_099069_2000-03-05_final
2001-05-08 11:07:08	ga_ls7e_ard_3-0-0_110067_2001-05-08_final
2001-07-15 10:42:32	ga_ls7e_ard_3-0-0_106069_2001-07-15_final
2002-06-14 10:56:04	ga_ls7e_ard_3-0-0_108074_2002-06-14_final
2003-01-09 10:01:27	ga_ls7e_ard_3-0-0_099077_2003-01-09_final
2003-01-22 11:05:36	ga_ls7e_ard_3-0-0_110067_2003-01-22_final
2003-09-18 10:24:04	ga_ls7e_ard_3-0-0_103072_2003-09-18_final
2003-10-14 11:00:16	ga_ls7e_ard_3-0-0_109070_2003-10-14_final
2003-11-02 09:56:57	ga_ls7e_ard_3-0-0_098081_2003-11-02_final
2003-12-13 09:46:20	ga_ls7e_ard_3-0-0_097069_2003-12-13_final
2004-05-04 09:11:04	ga_ls7e_ard_3-0-0_090088_2004-05-03_final
2004-09-12 09:41:03	ga_ls7e_ard_3-0-0_095087_2004-09-12_final
2004-09-26 11:24:15	ga_ls7e_ard_3-0-0_113067_2004-09-26_final
2004-10-02 10:53:55	ga_ls7e_ard_3-0-0_107084_2004-10-02_final
2004-10-30 09:35:14	ga_ls7e_ard_3-0-0_095072_2004-10-30_final
2005-03-25 11:03:25	ga_ls7e_ard_3-0-0_109074_2005-03-25_final
2005-09-10 10:59:26	ga_ls7e_ard_3-0-0_108081_2005-09-10_final
2005-11-14 11:41:29	ga_ls7e_ard_3-0-0_115077_2005-11-14_final
2006-01-27 10:39:22	ga_ls7e_ard_3-0-0_105075_2006-01-27_final
2006-03-11 10:19:22	ga_ls7e_ard_3-0-0_102071_2006-03-11_final
2006-06-30 09:41:30	ga_ls7e_ard_3-0-0_095085_2006-06-30_final
2006-06-30 11:16:00	ga_ls7e_ard_3-0-0_111074_2006-06-30_final
2006-10-17 09:07:00	ga_ls7e_ard_3-0-0_090077_2006-10-16_final
2006-12-08 10:18:12	ga_ls7e_ard_3-0-0_102068_2006-12-08_final
2007-07-03 11:15:07	ga_ls7e_ard_3-0-0_111071_2007-07-03_final
2007-08-16 10:01:33	ga_ls7e_ard_3-0-0_099073_2007-08-16_final
2008-01-16 09:55:42	ga_ls7e_ard_3-0-0_098073_2008-01-16_final
2008-09-18 11:00:25	ga_ls7e_ard_3-0-0_108084_2008-09-18_final
2009-08-28 10:11:52	ga_ls7e_ard_3-0-0_100083_2009-08-28_final
2009-12-27 10:02:20	ga_ls7e_ard_3-0-0_099072_2009-12-27_final
2010-04-28 10:39:12	ga_ls7e_ard_3-0-0_105069_2010-04-28_final
2010-11-03 10:11:50	ga_ls7e_ard_3-0-0_100077_2010-11-03_final
2010-12-03 10:26:11	ga_ls7e_ard_3-0-0_102081_2010-12-03_final
2011-02-11 11:27:41	ga_ls7e_ard_3-0-0_112079_2011-02-11_final
2011-06-23 09:27:48	ga_ls7e_ard_3-0-0_092088_2011-06-22_final
2011-06-30 11:07:38	ga_ls7e_ard_3-0-0_109075_2011-06-30_final
2011-07-14 09:43:55	ga_ls7e_ard_3-0-0_095082_2011-07-14_final
2011-11-01 11:34:12	ga_ls7e_ard_3-0-0_113080_2011-11-01_final
2011-12-26 10:02:05	ga_ls7e_ard_3-0-0_098080_2011-12-26_final
2012-03-06 10:04:01	ga_ls7e_ard_3-0-0_099069_2012-03-06_final
2012-07-09 11:14:36	ga_ls7e_ard_3-0-0_110074_2012-07-09_final
2012-09-06 09:21:02	ga_ls7e_ard_3-0-0_091082_2012-09-05_final
2012-10-20 11:19:05	ga_ls7e_ard_3-0-0_111067_2012-10-20_final
2012-12-21 09:58:53	ga_ls7e_ard_3-0-0_097082_2012-12-21_final
2013-02-19 10:24:03	ga_ls7e_ard_3-0-0_101083_2013-02-19_final
2013-05-29 10:48:34	ga_ls7e_ard_3-0-0_106068_2013-05-29_final
2013-06-24 11:25:05	ga_ls7e_ard_3-0-0_112067_2013-06-24_final
2013-12-14 09:23:37	ga_ls7e_ard_3-1-0_091086_2013-12-13_final
2014-03-04 09:20:03	ga_ls7e_ard_3-0-0_091076_2014-03-03_final
2014-04-20 10:15:39	ga_ls7e_ard_3-0-0_100075_2014-04-20_final
2014-09-04 10:10:46	ga_ls7e_ard_3-0-0_099077_2014-09-04_final
2015-05-06 09:46:32	ga_ls7e_ard_3-0-0_095074_2015-05-06_final
2015-06-18 11:06:22	ga_ls7e_ard_3-0-0_108072_2015-06-18_final
2015-09-15 09:26:48	ga_ls7e_ard_3-0-0_091085_2015-09-14_final
2015-10-03 10:46:33	ga_ls7e_ard_3-0-0_105068_2015-10-03_final
2016-01-18 10:30:32	ga_ls7e_ard_3-0-0_102070_2016-01-18_final
2016-01-29 10:10:55	ga_ls7e_ard_3-0-0_099067_2016-01-29_final
2016-02-10 10:37:42	ga_ls7e_ard_3-0-0_103072_2016-02-10_final
2016-04-12 09:17:09	ga_ls7e_ard_3-0-0_089086_2016-04-11_final
2016-06-07 11:44:34	ga_ls7e_ard_3-0-0_113083_2016-06-07_final
2016-07-07 10:12:05	ga_ls7e_ard_3-0-0_099068_2016-07-07_final
2016-08-20 10:36:53	ga_ls7e_ard_3-0-0_103068_2016-08-20_final
2016-08-29 10:33:56	ga_ls7e_ard_3-0-0_102076_2016-08-29_final
2017-01-04 10:31:08	ga_ls7e_ard_3-0-0_102070_2017-01-04_final
2017-05-24 09:22:48	ga_ls7e_ard_3-0-0_090084_2017-05-23_final
2017-11-25 09:15:27	ga_ls7e_ard_3-1-0_089081_2017-11-24_final
2018-07-13 10:08:41	ga_ls7e_ard_3-0-0_099068_2018-07-13_final
2018-07-15 10:03:05	ga_ls7e_ard_3-0-0_097085_2018-07-15_final
2018-10-08 10:14:41	ga_ls7e_ard_3-0-0_100072_2018-10-08_final
2018-10-21 09:41:29	ga_ls7e_ard_3-0-0_095067_2018-10-21_final
2018-10-25 10:57:09	ga_ls7e_ard_3-0-0_107071_2018-10-25_final
2018-12-28 09:22:13	ga_ls7e_ard_3-0-0_091085_2018-12-27_final
2019-01-19 10:18:09	ga_ls7e_ard_3-1-0_101072_2019-01-19_final
2019-03-07 11:13:55	ga_ls7e_ard_3-1-0_110076_2019-03-07_final
2019-05-29 09:59:21	ga_ls7e_ard_3-0-0_099067_2019-05-29_final
2019-06-06 09:17:37	ga_ls7e_ard_3-0-0_091087_2019-06-05_final
2019-10-20 09:58:43	ga_ls7e_ard_3-1-0_099080_2019-10-20_final
2019-10-22 09:43:53	ga_ls7e_ard_3-1-0_097074_2019-10-22_final
2019-12-23 09:56:29	ga_ls7e_ard_3-1-0_099082_2019-12-23_final
2020-04-08 09:33:06	ga_ls7e_ard_3-1-0_096084_2020-04-08_final
2020-06-04 10:57:36	ga_ls7e_ard_3-1-0_111072_2020-06-04_final
2020-06-10 10:21:46	ga_ls7e_ard_3-1-0_105076_2020-06-10_final
2020-06-16 09:45:32	ga_ls7e_ard_3-1-0_099079_2020-06-16_final
2020-08-13 10:17:52	ga_ls7e_ard_3-1-0_105076_2020-08-13_final
2020-08-26 09:44:56	ga_ls7e_ard_3-1-0_100073_2020-08-26_final
2020-10-06 11:16:34	ga_ls7e_ard_3-1-0_115077_2020-10-06_final
2021-01-10 09:28:11	ga_ls7e_ard_3-1-0_099070_2021-01-09_final
2021-02-18 09:34:42	ga_ls7e_ard_3-2-0_100078_2021-02-18_final
2021-03-12 08:53:56	ga_ls7e_ard_3-2-0_094073_2021-03-11_final
2021-03-19 08:59:33	ga_ls7e_ard_3-2-0_095073_2021-03-18_final
2021-04-22 10:23:39	ga_ls7e_ard_3-2-0_109074_2021-04-22_final
2021-06-29 08:16:22	ga_ls7e_ard_3-2-0_089079_2021-06-28_final
2021-08-14 08:23:57	ga_ls7e_ard_3-2-0_091077_2021-08-13_final
2021-12-30 10:29:36	ga_ls7e_ard_3-2-1_113083_2021-12-30_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years