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

55 results

Time (local)	Label
1999-10-07 09:06:21	ga_ls7e_ard_3-0-0_089082_1999-10-06_final
2001-02-24 11:15:39	ga_ls7e_ard_3-0-0_111072_2001-02-24_final
2001-09-14 10:14:49	ga_ls7e_ard_3-0-0_101079_2001-09-14_final
2002-04-13 10:46:23	ga_ls7e_ard_3-0-0_106080_2002-04-13_final
2003-12-31 11:12:36	ga_ls7e_ard_3-0-0_111068_2003-12-31_final
2004-07-23 10:44:54	ga_ls7e_ard_3-0-0_106076_2004-07-23_final
2004-08-17 09:03:19	ga_ls7e_ard_3-0-0_089085_2004-08-16_final
2004-09-05 11:08:37	ga_ls7e_ard_3-0-0_110074_2004-09-05_final
2004-10-11 10:42:07	ga_ls7e_ard_3-0-0_106070_2004-10-11_final
2005-01-05 10:06:17	ga_ls7e_ard_3-0-0_100071_2005-01-05_final
2006-03-12 09:29:44	ga_ls7e_ard_3-0-0_093086_2006-03-11_final
2006-07-06 10:42:04	ga_ls7e_ard_3-0-0_105082_2006-07-06_final
2006-11-03 09:53:20	ga_ls7e_ard_3-1-0_097084_2006-11-03_final
2007-07-18 10:30:37	ga_ls7e_ard_3-0-0_104068_2007-07-18_final
2007-11-21 10:42:57	ga_ls7e_ard_3-0-0_106068_2007-11-21_final
2008-01-21 10:16:14	ga_ls7e_ard_3-0-0_101078_2008-01-21_final
2008-05-14 09:59:32	ga_ls7e_ard_3-0-0_099068_2008-05-14_final
2008-11-07 10:43:49	ga_ls7e_ard_3-0-0_106073_2008-11-07_final
2008-11-30 10:49:54	ga_ls7e_ard_3-0-0_107072_2008-11-30_final
2010-03-07 11:05:24	ga_ls7e_ard_3-0-0_109073_2010-03-07_final
2010-05-21 10:46:05	ga_ls7e_ard_3-0-0_106071_2010-05-21_final
2010-11-06 09:07:06	ga_ls7e_ard_3-0-0_089085_2010-11-05_final
2011-07-26 11:46:17	ga_ls7e_ard_3-0-0_115079_2011-07-26_final
2012-02-28 10:03:52	ga_ls7e_ard_3-0-0_098084_2012-02-28_final
2012-02-29 09:07:26	ga_ls7e_ard_3-0-0_089082_2012-02-28_final
2012-06-26 10:07:36	ga_ls7e_ard_3-0-0_099077_2012-06-26_final
2013-04-16 11:08:55	ga_ls7e_ard_3-0-0_109072_2013-04-16_final
2013-07-26 09:48:41	ga_ls7e_ard_3-0-0_096074_2013-07-26_final
2013-12-23 10:49:58	ga_ls7e_ard_3-0-0_106070_2013-12-23_final
2014-01-24 10:51:08	ga_ls7e_ard_3-0-0_106072_2014-01-24_final
2014-11-19 10:37:40	ga_ls7e_ard_3-0-0_103081_2014-11-19_final
2015-02-27 10:13:10	ga_ls7e_ard_3-0-0_099080_2015-02-27_final
2015-03-15 10:12:04	ga_ls7e_ard_3-0-0_099077_2015-03-15_final
2015-05-21 10:45:28	ga_ls7e_ard_3-0-0_104082_2015-05-21_final
2015-06-10 10:19:17	ga_ls7e_ard_3-0-0_100078_2015-06-10_final
2015-07-03 10:23:09	ga_ls7e_ard_3-0-0_101072_2015-07-03_final
2015-07-26 10:27:49	ga_ls7e_ard_3-0-0_102068_2015-07-26_final
2015-10-22 11:23:49	ga_ls7e_ard_3-0-0_110083_2015-10-22_final
2015-10-23 10:27:49	ga_ls7e_ard_3-0-0_101082_2015-10-23_final
2015-12-22 10:47:53	ga_ls7e_ard_3-0-0_105068_2015-12-22_final
2016-05-05 10:55:10	ga_ls7e_ard_3-0-0_106068_2016-05-05_final
2017-06-11 10:48:37	ga_ls7e_ard_3-0-0_104082_2017-06-11_final
2017-12-26 11:47:40	ga_ls7e_ard_3-0-0_114076_2017-12-26_final
2018-02-23 09:48:14	ga_ls7e_ard_3-1-0_095073_2018-02-23_final
2019-05-15 11:32:47	ga_ls7e_ard_3-0-0_113083_2019-05-15_final
2019-11-02 09:24:27	ga_ls7e_ard_3-1-0_094073_2019-11-01_final
2020-03-08 10:16:54	ga_ls7e_ard_3-1-0_103081_2020-03-08_final
2020-05-26 11:05:06	ga_ls7e_ard_3-1-0_112074_2020-05-26_final
2020-08-18 09:01:12	ga_ls7e_ard_3-1-0_092086_2020-08-17_final
2020-10-07 10:17:17	ga_ls7e_ard_3-1-0_106068_2020-10-07_final
2021-03-08 09:22:57	ga_ls7e_ard_3-2-0_098083_2021-03-07_final
2021-09-19 09:36:33	ga_ls7e_ard_3-2-0_103081_2021-09-19_final
2022-02-26 09:21:19	ga_ls7e_ard_3-2-1_103081_2022-02-25_final
2022-02-27 10:00:53	ga_ls7e_ard_3-2-1_110072_2022-02-27_final
2022-03-28 07:52:40	ga_ls7e_ard_3-2-1_089083_2022-03-27_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