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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

63 results

Time (local)	Label
1999-09-19 09:21:44	ga_ls7e_ard_3-0-0_091090_1999-09-18_final
2000-08-03 10:12:51	ga_ls7e_ard_3-0-0_100083_2000-08-03_final
2001-10-28 09:01:37	ga_ls7e_ard_3-0-0_089082_2001-10-27_final
2002-01-27 10:17:42	ga_ls7e_ard_3-0-0_102070_2002-01-27_final
2003-02-16 11:03:12	ga_ls7e_ard_3-0-0_109076_2003-02-16_final
2003-12-07 10:23:45	ga_ls7e_ard_3-0-0_103070_2003-12-07_final
2004-01-10 10:12:48	ga_ls7e_ard_3-0-0_101073_2004-01-10_final
2004-05-05 11:27:37	ga_ls7e_ard_3-0-0_113074_2004-05-05_final
2004-07-17 11:18:26	ga_ls7e_ard_3-0-0_112067_2004-07-17_final
2005-03-02 11:00:25	ga_ls7e_ard_3-0-0_108082_2005-03-02_final
2005-04-13 09:53:20	ga_ls7e_ard_3-0-0_098069_2005-04-13_final
2005-05-24 09:51:33	ga_ls7e_ard_3-0-0_097080_2005-05-24_final
2006-01-14 09:28:06	ga_ls7e_ard_3-1-0_094067_2006-01-13_final
2006-01-23 09:25:35	ga_ls7e_ard_3-0-0_093076_2006-01-22_final
2006-06-25 09:24:35	ga_ls7e_ard_3-0-0_092089_2006-06-24_final
2007-03-13 11:19:00	ga_ls7e_ard_3-0-0_111080_2007-03-13_final
2007-03-29 09:39:44	ga_ls7e_ard_3-1-0_095079_2007-03-29_final
2007-05-10 10:15:53	ga_ls7e_ard_3-0-0_101077_2007-05-10_final
2007-07-09 09:01:32	ga_ls7e_ard_3-0-0_089077_2007-07-08_final
2007-07-17 09:47:46	ga_ls7e_ard_3-0-0_097069_2007-07-17_final
2007-11-08 11:15:20	ga_ls7e_ard_3-0-0_111072_2007-11-08_final
2008-02-05 09:30:56	ga_ls7e_ard_3-0-0_094073_2008-02-05_final
2008-12-10 09:47:00	ga_ls7e_ard_3-0-0_097069_2008-12-10_final
2008-12-25 10:42:46	ga_ls7e_ard_3-0-0_106069_2008-12-25_final
2009-07-20 10:03:49	ga_ls7e_ard_3-0-0_099078_2009-07-20_final
2009-09-12 09:22:13	ga_ls7e_ard_3-0-0_093067_2009-09-11_final
2009-10-11 10:35:17	ga_ls7e_ard_3-0-0_104080_2009-10-11_final
2009-10-21 09:36:03	ga_ls7e_ard_3-0-0_094086_2009-10-21_final
2010-01-20 09:14:52	ga_ls7e_ard_3-0-0_091076_2010-01-19_final
2010-06-10 10:23:48	ga_ls7e_ard_3-0-0_102077_2010-06-10_final
2011-06-19 11:23:03	ga_ls7e_ard_3-0-0_112067_2011-06-19_final
2011-10-08 09:08:07	ga_ls7e_ard_3-0-0_089086_2011-10-07_final
2011-12-05 09:38:10	ga_ls7e_ard_3-0-0_095067_2011-12-05_final
2012-03-23 09:16:25	ga_ls7e_ard_3-0-0_090089_2012-03-22_final
2012-08-28 09:26:18	ga_ls7e_ard_3-0-0_092080_2012-08-27_final
2013-07-03 11:24:47	ga_ls7e_ard_3-1-0_111082_2013-07-03_final
2013-09-27 10:44:45	ga_ls7e_ard_3-0-0_105074_2013-09-27_final
2013-10-03 10:06:10	ga_ls7e_ard_3-0-0_099070_2013-10-03_final
2014-08-21 11:39:40	ga_ls7e_ard_3-0-0_113083_2014-08-21_final
2014-09-22 09:55:18	ga_ls7e_ard_3-0-0_097069_2014-09-22_final
2014-11-06 11:06:10	ga_ls7e_ard_3-1-0_108075_2014-11-06_final
2015-05-31 09:40:55	ga_ls7e_ard_3-0-0_094075_2015-05-31_final
2015-06-09 11:13:43	ga_ls7e_ard_3-0-0_109075_2015-06-09_final
2015-12-28 10:16:51	ga_ls7e_ard_3-0-0_099083_2015-12-28_final
2016-09-18 11:44:33	ga_ls7e_ard_3-0-0_114067_2016-09-18_final
2017-02-25 10:06:35	ga_ls7e_ard_3-0-0_098071_2017-02-25_final
2017-06-03 11:32:02	ga_ls7e_ard_3-0-0_112067_2017-06-03_final
2017-09-14 10:02:09	ga_ls7e_ard_3-0-0_097074_2017-09-14_final
2017-12-23 09:42:18	ga_ls7e_ard_3-1-0_093087_2017-12-23_final
2017-12-24 10:19:10	ga_ls7e_ard_3-0-0_100071_2017-12-24_final
2018-04-24 10:14:06	ga_ls7e_ard_3-0-0_099078_2018-04-24_final
2018-10-28 09:55:05	ga_ls7e_ard_3-1-0_096086_2018-10-28_final
2019-05-02 10:22:07	ga_ls7e_ard_3-0-0_102075_2019-05-02_final
2019-05-22 09:54:13	ga_ls7e_ard_3-0-0_098069_2019-05-22_final
2019-06-21 10:08:18	ga_ls7e_ard_3-0-0_100076_2019-06-21_final
2019-10-10 10:59:21	ga_ls7e_ard_3-1-0_109076_2019-10-10_final
2019-12-19 10:21:01	ga_ls7e_ard_3-1-0_103081_2019-12-19_final
2020-03-28 11:28:45	ga_ls7e_ard_3-1-0_115078_2020-03-28_final
2021-01-16 10:35:09	ga_ls7e_ard_3-1-0_109084_2021-01-16_final
2021-02-20 09:22:12	ga_ls7e_ard_3-2-0_098078_2021-02-19_final
2021-04-17 08:30:39	ga_ls7e_ard_3-2-0_090084_2021-04-16_final
2021-05-29 08:59:00	ga_ls7e_ard_3-2-0_096071_2021-05-28_final
2021-10-25 09:06:14	ga_ls7e_ard_3-2-0_099075_2021-10-24_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