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
1999-11-14 10:07:36	ga_ls7e_ard_3-0-0_099081_1999-11-14_final
2000-11-30 10:15:03	ga_ls7e_ard_3-1-0_101075_2000-11-30_final
2000-12-01 10:56:19	ga_ls7e_ard_3-0-0_108070_2000-12-01_final
2001-01-26 10:10:37	ga_ls7e_ard_3-0-0_100079_2001-01-26_final
2001-05-27 11:41:01	ga_ls7e_ard_3-0-0_115075_2001-05-27_final
2001-12-06 09:06:24	ga_ls7e_ard_3-0-0_090078_2001-12-05_final
2003-01-04 09:45:42	ga_ls7e_ard_3-0-0_096084_2003-01-04_final
2003-04-07 09:13:38	ga_ls7e_ard_3-0-0_091080_2003-04-06_final
2004-09-02 10:40:56	ga_ls7e_ard_3-0-0_105082_2004-09-02_final
2004-10-01 10:07:52	ga_ls7e_ard_3-0-0_100077_2004-10-01_final
2005-08-20 09:03:01	ga_ls7e_ard_3-0-0_089083_2005-08-19_final
2006-04-22 09:23:51	ga_ls7e_ard_3-0-0_092087_2006-04-21_final
2006-10-16 10:00:13	ga_ls7e_ard_3-0-0_099071_2006-10-16_final
2006-11-05 11:15:05	ga_ls7e_ard_3-0-0_111072_2006-11-05_final
2007-01-24 11:15:58	ga_ls7e_ard_3-0-0_111073_2007-01-24_final
2007-01-31 11:19:48	ga_ls7e_ard_3-0-0_112067_2007-01-31_final
2007-02-11 11:04:08	ga_ls7e_ard_3-0-0_109074_2007-02-11_final
2007-02-14 10:00:09	ga_ls7e_ard_3-0-0_098084_2007-02-14_final
2007-02-15 10:38:38	ga_ls7e_ard_3-0-0_105072_2007-02-15_final
2007-07-02 10:32:40	ga_ls7e_ard_3-0-0_104073_2007-07-02_final
2007-12-09 10:36:18	ga_ls7e_ard_3-0-0_104082_2007-12-09_final
2008-04-16 11:15:49	ga_ls7e_ard_3-0-0_111073_2008-04-16_final
2008-11-23 09:11:08	ga_ls7e_ard_3-0-0_090088_2008-11-22_final
2009-01-03 10:36:38	ga_ls7e_ard_3-0-0_105069_2009-01-03_final
2010-09-08 09:23:20	ga_ls7e_ard_3-0-0_092080_2010-09-07_final
2011-03-04 10:09:27	ga_ls7e_ard_3-0-0_099084_2011-03-04_final
2011-05-07 11:46:01	ga_ls7e_ard_3-0-0_115078_2011-05-07_final
2011-05-15 10:58:08	ga_ls7e_ard_3-0-0_107082_2011-05-15_final
2011-07-12 11:35:34	ga_ls7e_ard_3-0-0_113083_2011-07-12_final
2011-12-03 11:32:11	ga_ls7e_ard_3-0-0_113074_2011-12-03_final
2012-11-24 10:17:17	ga_ls7e_ard_3-0-0_100082_2012-11-24_final
2013-03-12 09:02:28	ga_ls7e_ard_3-0-0_088080_2013-03-11_final
2013-09-12 11:31:52	ga_ls7e_ard_3-1-0_112084_2013-09-12_final
2013-10-26 10:12:58	ga_ls7e_ard_3-0-0_100071_2013-10-26_final
2014-02-08 11:48:05	ga_ls7e_ard_3-0-0_115075_2014-02-08_final
2015-03-28 09:44:52	ga_ls7e_ard_3-0-0_094086_2015-03-28_final
2015-08-22 10:14:34	ga_ls7e_ard_3-0-0_099081_2015-08-22_final
2016-07-30 10:22:42	ga_ls7e_ard_3-0-0_100079_2016-07-30_final
2017-04-05 10:12:35	ga_ls7e_ard_3-0-0_099070_2017-04-05_final
2017-11-01 10:06:35	ga_ls7e_ard_3-0-0_097085_2017-11-01_final
2017-12-16 11:08:18	ga_ls7e_ard_3-0-0_108070_2017-12-16_final
2018-03-07 11:52:31	ga_ls7e_ard_3-0-0_115075_2018-03-07_final
2018-03-17 10:49:23	ga_ls7e_ard_3-0-0_105072_2018-03-17_final
2018-07-23 10:47:12	ga_ls7e_ard_3-0-0_105072_2018-07-23_final
2018-09-29 10:23:05	ga_ls7e_ard_3-0-0_101077_2018-09-29_final
2018-11-24 09:31:32	ga_ls7e_ard_3-0-0_093075_2018-11-24_final
2019-01-02 09:33:26	ga_ls7e_ard_3-1-0_094067_2019-01-02_final
2019-04-04 11:34:06	ga_ls7e_ard_3-0-0_114067_2019-04-04_final
2019-04-22 09:47:24	ga_ls7e_ard_3-0-0_096080_2019-04-22_final
2019-07-07 10:06:54	ga_ls7e_ard_3-0-0_100074_2019-07-07_final
2019-08-04 10:30:54	ga_ls7e_ard_3-0-0_104075_2019-08-04_final
2019-11-22 10:35:42	ga_ls7e_ard_3-1-0_106068_2019-11-22_final
2020-12-22 08:59:48	ga_ls7e_ard_3-1-0_094073_2020-12-21_final
2021-04-28 09:49:15	ga_ls7e_ard_3-2-0_103082_2021-04-28_final
2021-05-13 10:40:26	ga_ls7e_ard_3-2-0_112074_2021-05-13_final
2021-06-09 10:19:37	ga_ls7e_ard_3-2-0_109074_2021-06-09_final
2021-07-27 10:16:23	ga_ls7e_ard_3-2-0_109076_2021-07-27_final
2021-08-20 09:24:01	ga_ls7e_ard_3-2-0_101074_2021-08-19_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