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

58 results

Time (local)	Label
2000-12-06 11:16:23	ga_ls7e_ard_3-0-0_111074_2000-12-06_final
2001-12-23 11:27:08	ga_ls7e_ard_3-0-0_113074_2001-12-23_final
2002-03-08 11:12:01	ga_ls7e_ard_3-0-0_110082_2002-03-08_final
2002-04-07 11:18:16	ga_ls7e_ard_3-0-0_112067_2002-04-07_final
2003-05-22 10:21:56	ga_ls7e_ard_3-0-0_102081_2003-05-22_final
2003-08-14 11:30:14	ga_ls7e_ard_3-0-0_114067_2003-08-14_final
2004-05-03 10:05:05	ga_ls7e_ard_3-0-0_099084_2004-05-03_final
2004-10-27 10:41:35	ga_ls7e_ard_3-0-0_106068_2004-10-27_final
2004-12-16 08:56:20	ga_ls7e_ard_3-0-0_088082_2004-12-15_final
2004-12-26 11:06:25	ga_ls7e_ard_3-0-0_110067_2004-12-26_final
2005-06-13 11:03:11	ga_ls7e_ard_3-0-0_109074_2005-06-13_final
2005-07-09 09:59:21	ga_ls7e_ard_3-0-0_099069_2005-07-09_final
2005-08-09 09:22:01	ga_ls7e_ard_3-0-0_092084_2005-08-08_final
2005-11-21 10:06:26	ga_ls7e_ard_3-0-0_100071_2005-11-21_final
2006-06-23 09:34:58	ga_ls7e_ard_3-0-0_094084_2006-06-23_final
2006-10-19 10:35:09	ga_ls7e_ard_3-0-0_104081_2006-10-19_final
2007-01-10 09:30:39	ga_ls7e_ard_3-1-0_093088_2007-01-10_final
2007-06-03 09:25:06	ga_ls7e_ard_3-0-0_093074_2007-06-02_final
2007-06-29 10:05:45	ga_ls7e_ard_3-0-0_099083_2007-06-29_final
2007-12-26 09:34:45	ga_ls7e_ard_3-0-0_095067_2007-12-26_final
2008-04-17 10:23:23	ga_ls7e_ard_3-0-0_102081_2008-04-17_final
2008-04-28 10:03:12	ga_ls7e_ard_3-0-0_099077_2008-04-28_final
2008-07-01 10:03:29	ga_ls7e_ard_3-0-0_099079_2008-07-01_final
2008-12-18 10:39:19	ga_ls7e_ard_3-0-0_105076_2008-12-18_final
2009-01-10 09:11:33	ga_ls7e_ard_3-0-0_090088_2009-01-09_final
2009-07-17 11:13:49	ga_ls7e_ard_3-0-0_110083_2009-07-17_final
2009-12-28 09:13:31	ga_ls7e_ard_3-0-0_090089_2009-12-27_final
2010-08-21 11:09:21	ga_ls7e_ard_3-0-0_110067_2010-08-21_final
2010-08-27 10:37:29	ga_ls7e_ard_3-0-0_104080_2010-08-27_final
2010-10-24 09:35:29	ga_ls7e_ard_3-0-0_094079_2010-10-24_final
2011-03-27 10:10:29	ga_ls7e_ard_3-0-0_100071_2011-03-27_final
2011-03-27 10:12:53	ga_ls7e_ard_3-0-0_100077_2011-03-27_final
2011-05-27 09:41:12	ga_ls7e_ard_3-0-0_095075_2011-05-27_final
2012-02-19 10:04:28	ga_ls7e_ard_3-0-0_099070_2012-02-19_final
2013-05-23 09:53:13	ga_ls7e_ard_3-0-0_096084_2013-05-23_final
2013-10-24 10:24:56	ga_ls7e_ard_3-0-0_102070_2013-10-24_final
2014-03-24 10:31:34	ga_ls7e_ard_3-0-0_103069_2014-03-24_final
2014-09-24 09:44:09	ga_ls7e_ard_3-0-0_095072_2014-09-24_final
2014-12-25 10:08:51	ga_ls7e_ard_3-0-0_099070_2014-12-25_final
2015-01-17 10:15:28	ga_ls7e_ard_3-0-0_100071_2015-01-17_final
2015-02-06 11:28:10	ga_ls7e_ard_3-0-0_112067_2015-02-06_final
2015-02-19 11:04:06	ga_ls7e_ard_3-0-0_107084_2015-02-19_final
2015-09-16 10:09:40	ga_ls7e_ard_3-0-0_098084_2015-09-16_final
2016-03-08 10:21:20	ga_ls7e_ard_3-0-0_100077_2016-03-08_final
2016-08-15 10:22:19	ga_ls7e_ard_3-0-0_100078_2016-08-15_final
2017-04-05 10:12:35	ga_ls7e_ard_3-0-0_099070_2017-04-05_final
2017-09-16 09:46:59	ga_ls7e_ard_3-0-0_095067_2017-09-16_final
2017-11-30 09:36:45	ga_ls7e_ard_3-0-0_092088_2017-11-30_final
2018-03-21 10:24:13	ga_ls7e_ard_3-0-0_101071_2018-03-21_final
2018-03-31 09:24:16	ga_ls7e_ard_3-0-0_091076_2018-03-30_final
2018-10-19 09:58:40	ga_ls7e_ard_3-0-0_097079_2018-10-19_final
2019-12-17 10:31:29	ga_ls7e_ard_3-1-0_105076_2019-12-17_final
2020-01-08 09:54:27	ga_ls7e_ard_3-1-0_099079_2020-01-08_final
2020-06-20 09:17:47	ga_ls7e_ard_3-1-0_095072_2020-06-19_final
2020-08-04 08:50:32	ga_ls7e_ard_3-1-0_090088_2020-08-03_final
2021-02-27 09:23:51	ga_ls7e_ard_3-2-0_099068_2021-02-26_final
2021-04-10 10:00:45	ga_ls7e_ard_3-2-0_105076_2021-04-10_final
2021-12-13 09:45:14	ga_ls7e_ard_3-2-1_106076_2021-12-13_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