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
1999-10-17 11:22:37	ga_ls7e_ard_3-0-0_111083_1999-10-17_final
2000-09-16 10:36:35	ga_ls7e_ard_3-0-0_104082_2000-09-16_final
2001-01-03 10:04:42	ga_ls7e_ard_3-0-0_099080_2001-01-03_final
2001-12-27 11:05:11	ga_ls7e_ard_3-1-0_109081_2001-12-27_final
2002-06-20 10:21:45	ga_ls7e_ard_3-0-0_102081_2002-06-20_final
2002-12-31 10:05:15	ga_ls7e_ard_3-0-0_100071_2002-12-31_final
2003-01-08 10:55:51	ga_ls7e_ard_3-0-0_108074_2003-01-08_final
2003-08-22 10:41:59	ga_ls7e_ard_3-0-0_106070_2003-08-22_final
2003-09-22 09:57:44	ga_ls7e_ard_3-0-0_099068_2003-09-22_final
2004-01-05 11:33:33	ga_ls7e_ard_3-0-0_114074_2004-01-05_final
2004-03-16 09:59:35	ga_ls7e_ard_3-0-0_099070_2004-03-16_final
2004-03-21 10:22:32	ga_ls7e_ard_3-0-0_102081_2004-03-21_final
2005-02-19 11:15:19	ga_ls7e_ard_3-0-0_111073_2005-02-19_final
2005-03-28 09:57:01	ga_ls7e_ard_3-0-0_098078_2005-03-28_final
2005-04-17 11:12:15	ga_ls7e_ard_3-0-0_110081_2005-04-17_final
2005-06-02 11:19:01	ga_ls7e_ard_3-0-0_112067_2005-06-02_final
2005-10-07 09:01:06	ga_ls7e_ard_3-0-0_089079_2005-10-06_final
2005-10-30 09:06:49	ga_ls7e_ard_3-0-0_090077_2005-10-29_final
2006-10-10 10:39:11	ga_ls7e_ard_3-0-0_105076_2006-10-10_final
2007-04-16 11:05:02	ga_ls7e_ard_3-0-0_109076_2007-04-16_final
2007-12-31 09:54:53	ga_ls7e_ard_3-0-0_098071_2007-12-31_final
2008-05-14 09:59:32	ga_ls7e_ard_3-0-0_099068_2008-05-14_final
2008-07-07 09:25:08	ga_ls7e_ard_3-0-0_093076_2008-07-06_final
2009-03-30 10:05:46	ga_ls7e_ard_3-0-0_099083_2009-03-30_final
2010-06-17 10:26:23	ga_ls7e_ard_3-0-0_103068_2010-06-17_final
2010-09-07 10:20:09	ga_ls7e_ard_3-0-0_101083_2010-09-07_final
2010-10-11 10:02:16	ga_ls7e_ard_3-0-0_099069_2010-10-11_final
2011-04-18 09:31:49	ga_ls7e_ard_3-1-0_094067_2011-04-18_final
2011-09-11 09:25:57	ga_ls7e_ard_3-0-0_092084_2011-09-10_final
2011-12-15 10:19:16	ga_ls7e_ard_3-0-0_101077_2011-12-15_final
2011-12-18 09:13:20	ga_ls7e_ard_3-0-0_090082_2011-12-17_final
2011-12-25 10:57:42	ga_ls7e_ard_3-0-0_107080_2011-12-25_final
2012-04-29 11:11:19	ga_ls7e_ard_3-0-0_109082_2012-04-29_final
2012-07-03 10:14:18	ga_ls7e_ard_3-0-0_100078_2012-07-03_final
2012-11-13 10:33:22	ga_ls7e_ard_3-0-0_103076_2012-11-13_final
2013-06-06 10:05:25	ga_ls7e_ard_3-0-0_098084_2013-06-06_final
2013-06-30 09:18:14	ga_ls7e_ard_3-0-0_090090_2013-06-29_final
2015-03-01 11:37:18	ga_ls7e_ard_3-0-0_113074_2015-03-01_final
2015-07-25 09:51:45	ga_ls7e_ard_3-0-0_095086_2015-07-25_final
2015-08-06 10:12:56	ga_ls7e_ard_3-0-0_099077_2015-08-06_final
2016-02-07 10:09:35	ga_ls7e_ard_3-0-0_098079_2016-02-07_final
2016-04-04 11:43:48	ga_ls7e_ard_3-0-0_113082_2016-04-04_final
2016-12-31 10:55:54	ga_ls7e_ard_3-0-0_106070_2016-12-31_final
2017-02-28 10:36:19	ga_ls7e_ard_3-0-0_103068_2017-02-28_final
2017-12-01 10:12:25	ga_ls7e_ard_3-0-0_099069_2017-12-01_final
2018-03-14 10:20:31	ga_ls7e_ard_3-0-0_100077_2018-03-14_final
2018-06-28 10:57:02	ga_ls7e_ard_3-0-0_106080_2018-06-28_final
2018-07-29 10:10:25	ga_ls7e_ard_3-0-0_099073_2018-07-29_final
2018-10-16 11:03:31	ga_ls7e_ard_3-1-0_108071_2018-10-16_final
2019-07-22 11:02:19	ga_ls7e_ard_3-0-0_109075_2019-07-22_final
2020-04-22 09:44:39	ga_ls7e_ard_3-1-0_098084_2020-04-22_final
2020-05-19 10:56:34	ga_ls7e_ard_3-1-0_111067_2020-05-19_final
2020-08-28 09:36:50	ga_ls7e_ard_3-1-0_098084_2020-08-28_final
2021-02-08 10:39:15	ga_ls7e_ard_3-2-0_110083_2021-02-08_final
2021-03-24 09:16:53	ga_ls7e_ard_3-2-0_098071_2021-03-23_final
2021-07-15 09:54:42	ga_ls7e_ard_3-2-0_105081_2021-07-15_final
2021-08-29 09:18:40	ga_ls7e_ard_3-2-0_100078_2021-08-28_final
2022-03-03 07:58:06	ga_ls7e_ard_3-2-1_090075_2022-03-02_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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