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

79 results

Time (local)	Label
1999-11-30 11:45:35	ga_ls7e_ard_3-0-0_115079_1999-11-30_final
1999-12-20 11:18:37	ga_ls7e_ard_3-0-0_111073_1999-12-20_final
2000-01-10 10:00:11	ga_ls7e_ard_3-0-0_098078_2000-01-10_final
2000-05-30 09:32:22	ga_ls7e_ard_3-0-0_093088_2000-05-30_final
2000-07-21 09:03:29	ga_ls7e_ard_3-0-0_089079_2000-07-20_final
2000-09-13 10:03:46	ga_ls7e_ard_3-0-0_099077_2000-09-13_final
2000-10-16 10:46:06	ga_ls7e_ard_3-0-0_106076_2000-10-16_final
2001-04-25 10:00:23	ga_ls7e_ard_3-0-0_099070_2001-04-25_final
2001-05-02 10:09:23	ga_ls7e_ard_3-0-0_100077_2001-05-02_final
2003-01-20 09:43:03	ga_ls7e_ard_3-0-0_096077_2003-01-20_final
2003-04-15 10:01:52	ga_ls7e_ard_3-0-0_099077_2003-04-15_final
2003-05-01 10:01:53	ga_ls7e_ard_3-0-0_099077_2003-05-01_final
2003-07-20 09:58:52	ga_ls7e_ard_3-0-0_099070_2003-07-20_final
2003-08-25 09:32:48	ga_ls7e_ard_3-0-0_095067_2003-08-25_final
2003-12-27 09:58:49	ga_ls7e_ard_3-0-0_099069_2003-12-27_final
2004-01-28 10:02:35	ga_ls7e_ard_3-0-0_099078_2004-01-28_final
2004-06-28 09:17:05	ga_ls7e_ard_3-0-0_091088_2004-06-27_final
2004-07-15 09:56:18	ga_ls7e_ard_3-0-0_098078_2004-07-15_final
2004-08-27 11:14:27	ga_ls7e_ard_3-0-0_111073_2004-08-27_final
2004-09-09 10:44:16	ga_ls7e_ard_3-1-0_106075_2004-09-09_final
2004-10-02 09:16:38	ga_ls7e_ard_3-0-0_091088_2004-10-01_final
2004-10-14 09:40:34	ga_ls7e_ard_3-0-0_095086_2004-10-14_final
2005-09-28 09:06:34	ga_ls7e_ard_3-0-0_090077_2005-09-27_final
2005-12-08 10:50:58	ga_ls7e_ard_3-0-0_107074_2005-12-08_final
2005-12-18 09:47:11	ga_ls7e_ard_3-0-0_097069_2005-12-18_final
2006-02-03 10:48:47	ga_ls7e_ard_3-0-0_106083_2006-02-03_final
2006-05-18 09:57:00	ga_ls7e_ard_3-0-0_098077_2006-05-18_final
2007-01-14 10:36:49	ga_ls7e_ard_3-0-0_105068_2007-01-14_final
2007-06-23 10:36:52	ga_ls7e_ard_3-0-0_105068_2007-06-23_final
2007-12-06 10:00:11	ga_ls7e_ard_3-0-0_099069_2007-12-06_final
2008-06-21 09:28:31	ga_ls7e_ard_3-0-0_093084_2008-06-20_final
2008-10-04 09:23:22	ga_ls7e_ard_3-0-0_092089_2008-10-03_final
2008-10-14 09:58:23	ga_ls7e_ard_3-0-0_098084_2008-10-14_final
2008-10-24 08:55:33	ga_ls7e_ard_3-0-0_088081_2008-10-23_final
2008-12-05 11:13:17	ga_ls7e_ard_3-0-0_110084_2008-12-05_final
2009-07-20 10:03:49	ga_ls7e_ard_3-0-0_099078_2009-07-20_final
2009-08-09 11:15:52	ga_ls7e_ard_3-0-0_111073_2009-08-09_final
2009-09-06 10:03:17	ga_ls7e_ard_3-0-0_099077_2009-09-06_final
2009-10-01 09:59:51	ga_ls7e_ard_3-0-0_098084_2009-10-01_final
2009-10-18 09:06:17	ga_ls7e_ard_3-0-0_089089_2009-10-17_final
2010-04-27 10:01:32	ga_ls7e_ard_3-0-0_098083_2010-04-27_final
2010-10-29 09:54:52	ga_ls7e_ard_3-0-0_097081_2010-10-29_final
2011-07-14 11:17:13	ga_ls7e_ard_3-0-0_111068_2011-07-14_final
2012-05-09 10:04:10	ga_ls7e_ard_3-0-0_099068_2012-05-09_final
2012-06-26 10:07:36	ga_ls7e_ard_3-0-0_099077_2012-06-26_final
2012-07-11 09:26:11	ga_ls7e_ard_3-0-0_092081_2012-07-10_final
2012-08-27 10:19:55	ga_ls7e_ard_3-1-0_101075_2012-08-27_final
2013-01-10 11:08:41	ga_ls7e_ard_3-0-0_109071_2013-01-10_final
2013-11-12 09:25:03	ga_ls7e_ard_3-0-0_091090_2013-11-11_final
2014-02-18 10:43:43	ga_ls7e_ard_3-0-0_105069_2014-02-18_final
2014-03-28 10:06:52	ga_ls7e_ard_3-0-0_099069_2014-03-28_final
2014-09-08 09:49:38	ga_ls7e_ard_3-0-0_095086_2014-09-08_final
2014-12-03 09:10:06	ga_ls7e_ard_3-0-0_089078_2014-12-02_final
2015-07-25 09:51:45	ga_ls7e_ard_3-0-0_095086_2015-07-25_final
2016-01-04 10:18:46	ga_ls7e_ard_3-0-0_100072_2016-01-04_final
2016-09-08 09:36:57	ga_ls7e_ard_3-0-0_092088_2016-09-08_final
2017-02-04 09:48:47	ga_ls7e_ard_3-1-0_095073_2017-02-04_final
2017-04-05 10:12:59	ga_ls7e_ard_3-0-0_099071_2017-04-05_final
2017-04-09 09:48:42	ga_ls7e_ard_3-0-0_095072_2017-04-09_final
2017-04-28 10:22:07	ga_ls7e_ard_3-0-0_100078_2017-04-28_final
2017-06-14 09:42:14	ga_ls7e_ard_3-0-0_093086_2017-06-14_final
2017-07-01 10:21:57	ga_ls7e_ard_3-0-0_100077_2017-07-01_final
2018-01-14 10:37:50	ga_ls7e_ard_3-0-0_103072_2018-01-14_final
2018-01-25 10:23:30	ga_ls7e_ard_3-0-0_100083_2018-01-25_final
2018-03-12 10:30:07	ga_ls7e_ard_3-0-0_102070_2018-03-12_final
2018-12-16 10:29:57	ga_ls7e_ard_3-0-0_103068_2018-12-16_final
2019-03-28 09:50:29	ga_ls7e_ard_3-1-0_097070_2019-03-28_final
2019-04-27 10:04:58	ga_ls7e_ard_3-0-0_099078_2019-04-27_final
2019-04-28 09:08:54	ga_ls7e_ard_3-0-0_090077_2019-04-27_final
2019-06-14 10:00:23	ga_ls7e_ard_3-0-0_099071_2019-06-14_final
2019-12-07 09:52:54	ga_ls7e_ard_3-1-0_099071_2019-12-07_final
2020-05-07 08:58:53	ga_ls7e_ard_3-1-0_091080_2020-05-06_final
2021-02-11 09:31:03	ga_ls7e_ard_3-2-0_099083_2021-02-11_final
2021-03-09 10:00:09	ga_ls7e_ard_3-2-0_105068_2021-03-09_final
2021-07-19 09:28:26	ga_ls7e_ard_3-2-0_101078_2021-07-18_final
2021-07-21 09:17:54	ga_ls7e_ard_3-2-0_099083_2021-07-20_final
2021-08-30 10:03:50	ga_ls7e_ard_3-2-0_107083_2021-08-30_final
2021-09-11 10:22:43	ga_ls7e_ard_3-2-0_111071_2021-09-11_final
2022-03-04 08:40:04	ga_ls7e_ard_3-2-1_097072_2022-03-03_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

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