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

59 results

Time (local)	Label
2000-04-21 09:26:08	ga_ls7e_ard_3-0-0_092087_2000-04-20_final
2001-06-16 11:15:39	ga_ls7e_ard_3-0-0_111074_2001-06-16_final
2002-02-23 09:58:49	ga_ls7e_ard_3-0-0_099069_2002-02-23_final
2002-07-13 10:27:49	ga_ls7e_ard_3-0-0_103081_2002-07-13_final
2002-09-02 09:22:14	ga_ls7e_ard_3-0-0_092088_2002-09-01_final
2002-11-12 11:01:36	ga_ls7e_ard_3-0-0_109074_2002-11-12_final
2003-05-18 09:08:35	ga_ls7e_ard_3-0-0_090083_2003-05-17_final
2003-12-11 09:59:28	ga_ls7e_ard_3-0-0_099071_2003-12-11_final
2004-05-11 09:18:03	ga_ls7e_ard_3-0-0_091090_2004-05-10_final
2004-12-05 10:53:42	ga_ls7e_ard_3-0-0_107082_2004-12-05_final
2005-01-29 09:24:04	ga_ls7e_ard_3-0-0_092089_2005-01-28_final
2005-02-09 09:02:28	ga_ls7e_ard_3-1-0_089081_2005-02-08_final
2005-05-19 09:33:49	ga_ls7e_ard_3-0-0_094082_2005-05-19_final
2005-10-14 10:45:05	ga_ls7e_ard_3-0-0_106076_2005-10-14_final
2006-01-23 09:30:22	ga_ls7e_ard_3-0-0_093088_2006-01-23_final
2006-04-30 10:07:45	ga_ls7e_ard_3-0-0_100073_2006-04-30_final
2007-02-06 10:43:58	ga_ls7e_ard_3-0-0_106070_2007-02-06_final
2007-03-10 10:43:18	ga_ls7e_ard_3-0-0_106068_2007-03-10_final
2008-02-05 11:12:37	ga_ls7e_ard_3-0-0_110080_2008-02-05_final
2008-04-27 11:01:37	ga_ls7e_ard_3-0-0_108084_2008-04-27_final
2008-07-27 10:39:05	ga_ls7e_ard_3-0-0_105076_2008-07-27_final
2008-09-12 09:52:17	ga_ls7e_ard_3-0-0_098068_2008-09-12_final
2009-04-06 10:07:12	ga_ls7e_ard_3-0-0_100071_2009-04-06_final
2009-05-05 09:36:49	ga_ls7e_ard_3-0-0_095072_2009-05-05_final
2009-09-21 10:56:06	ga_ls7e_ard_3-0-0_108070_2009-09-21_final
2010-05-20 10:07:37	ga_ls7e_ard_3-0-0_099083_2010-05-20_final
2011-03-24 09:37:58	ga_ls7e_ard_3-0-0_095067_2011-03-24_final
2011-06-14 11:08:07	ga_ls7e_ard_3-0-0_109076_2011-06-14_final
2011-08-11 10:08:55	ga_ls7e_ard_3-0-0_099083_2011-08-11_final
2011-10-23 11:35:11	ga_ls7e_ard_3-0-0_114067_2011-10-23_final
2011-12-13 10:29:37	ga_ls7e_ard_3-0-0_103072_2011-12-13_final
2013-10-30 11:25:32	ga_ls7e_ard_3-0-0_112067_2013-10-30_final
2014-02-24 10:06:38	ga_ls7e_ard_3-0-0_099069_2014-02-24_final
2014-04-20 10:14:03	ga_ls7e_ard_3-0-0_100071_2014-04-20_final
2015-04-18 11:39:16	ga_ls7e_ard_3-0-0_113078_2015-04-18_final
2015-05-19 10:55:26	ga_ls7e_ard_3-0-0_106076_2015-05-19_final
2017-02-15 09:36:36	ga_ls7e_ard_3-0-0_092089_2017-02-15_final
2017-06-17 11:44:27	ga_ls7e_ard_3-0-0_114067_2017-06-17_final
2018-01-18 10:12:15	ga_ls7e_ard_3-0-0_099070_2018-01-18_final
2018-02-05 11:41:16	ga_ls7e_ard_3-0-0_113077_2018-02-05_final
2018-03-27 09:45:27	ga_ls7e_ard_3-0-0_095067_2018-03-27_final
2018-06-18 10:19:21	ga_ls7e_ard_3-0-0_100078_2018-06-18_final
2018-08-11 09:43:16	ga_ls7e_ard_3-1-0_094083_2018-08-11_final
2018-10-07 11:11:07	ga_ls7e_ard_3-0-0_109074_2018-10-07_final
2019-07-16 09:57:34	ga_ls7e_ard_3-0-0_099067_2019-07-16_final
2019-07-22 11:01:56	ga_ls7e_ard_3-0-0_109074_2019-07-22_final
2019-11-05 09:57:13	ga_ls7e_ard_3-1-0_099078_2019-11-05_final
2020-03-04 10:39:02	ga_ls7e_ard_3-1-0_107074_2020-03-04_final
2020-08-22 10:13:30	ga_ls7e_ard_3-1-0_104082_2020-08-22_final
2020-09-15 10:55:23	ga_ls7e_ard_3-1-0_112067_2020-09-15_final
2021-02-13 09:16:33	ga_ls7e_ard_3-2-0_097078_2021-02-12_final
2021-05-19 10:05:39	ga_ls7e_ard_3-2-0_106081_2021-05-19_final
2021-06-07 10:31:45	ga_ls7e_ard_3-2-0_111073_2021-06-07_final
2021-07-06 09:59:15	ga_ls7e_ard_3-2-0_106075_2021-07-06_final
2021-08-19 10:23:43	ga_ls7e_ard_3-2-0_110084_2021-08-19_final
2021-09-21 09:24:25	ga_ls7e_ard_3-2-0_101082_2021-09-20_final
2021-10-02 09:05:41	ga_ls7e_ard_3-2-0_098084_2021-10-01_final
2022-01-23 09:32:16	ga_ls7e_ard_3-2-1_105069_2022-01-23_final
2022-02-03 09:14:38	ga_ls7e_ard_3-2-1_102074_2022-02-02_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

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