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

57 results

Time (local)	Label
2001-03-05 11:13:02	ga_ls7e_ard_3-0-0_110081_2001-03-05_final
2001-08-31 09:59:01	ga_ls7e_ard_3-0-0_099070_2001-08-31_final
2001-09-06 11:03:07	ga_ls7e_ard_3-0-0_109076_2001-09-06_final
2001-09-13 11:08:27	ga_ls7e_ard_3-0-0_110074_2001-09-13_final
2002-04-09 11:08:43	ga_ls7e_ard_3-0-0_110074_2002-04-09_final
2002-09-20 10:41:21	ga_ls7e_ard_3-0-0_106070_2002-09-20_final
2002-09-26 10:07:51	ga_ls7e_ard_3-0-0_100079_2002-09-26_final
2003-07-16 10:28:00	ga_ls7e_ard_3-0-0_103081_2003-07-16_final
2003-11-26 10:44:15	ga_ls7e_ard_3-1-0_106075_2003-11-26_final
2004-06-01 11:09:02	ga_ls7e_ard_3-0-0_110074_2004-06-01_final
2004-08-04 11:09:30	ga_ls7e_ard_3-0-0_110076_2004-08-04_final
2004-09-15 10:08:20	ga_ls7e_ard_3-0-0_100078_2004-09-15_final
2004-11-21 10:38:00	ga_ls7e_ard_3-0-0_105074_2004-11-21_final
2005-10-25 10:28:42	ga_ls7e_ard_3-0-0_103081_2005-10-25_final
2005-10-30 09:06:49	ga_ls7e_ard_3-0-0_090077_2005-10-29_final
2006-06-19 11:34:36	ga_ls7e_ard_3-0-0_114074_2006-06-19_final
2006-06-30 09:41:30	ga_ls7e_ard_3-0-0_095085_2006-06-30_final
2006-08-11 10:12:46	ga_ls7e_ard_3-0-0_101071_2006-08-11_final
2006-08-19 11:02:35	ga_ls7e_ard_3-0-0_109072_2006-08-19_final
2006-10-24 10:51:23	ga_ls7e_ard_3-0-0_107075_2006-10-24_final
2007-01-09 10:19:29	ga_ls7e_ard_3-0-0_102071_2007-01-09_final
2007-05-16 11:18:50	ga_ls7e_ard_3-0-0_111080_2007-05-16_final
2008-04-14 09:48:06	ga_ls7e_ard_3-0-0_097070_2008-04-14_final
2008-06-02 10:35:53	ga_ls7e_ard_3-0-0_104082_2008-06-02_final
2008-10-26 10:20:31	ga_ls7e_ard_3-0-0_102077_2008-10-26_final
2009-11-13 11:15:52	ga_ls7e_ard_3-0-0_111072_2009-11-13_final
2010-04-18 10:08:08	ga_ls7e_ard_3-0-0_099084_2010-04-18_final
2010-09-15 11:04:49	ga_ls7e_ard_3-0-0_109071_2010-09-15_final
2011-01-19 09:41:19	ga_ls7e_ard_3-0-0_095076_2011-01-19_final
2011-06-30 11:07:38	ga_ls7e_ard_3-0-0_109075_2011-06-30_final
2011-08-27 10:07:18	ga_ls7e_ard_3-0-0_099079_2011-08-27_final
2011-10-28 10:16:51	ga_ls7e_ard_3-0-0_101072_2011-10-28_final
2012-02-05 09:55:14	ga_ls7e_ard_3-0-0_097078_2012-02-05_final
2012-03-16 09:10:13	ga_ls7e_ard_3-1-0_089089_2012-03-15_final
2012-08-05 11:00:22	ga_ls7e_ard_3-0-0_107084_2012-08-05_final
2013-02-14 11:38:02	ga_ls7e_ard_3-0-0_114067_2013-02-14_final
2013-09-01 11:47:05	ga_ls7e_ard_3-0-0_115076_2013-09-01_final
2013-09-27 10:45:09	ga_ls7e_ard_3-0-0_105075_2013-09-27_final
2014-07-11 11:39:21	ga_ls7e_ard_3-0-0_114067_2014-07-11_final
2014-08-14 09:48:14	ga_ls7e_ard_3-0-0_096067_2014-08-14_final
2014-09-15 11:27:08	ga_ls7e_ard_3-0-0_112067_2014-09-15_final
2015-06-25 11:12:32	ga_ls7e_ard_3-0-0_109072_2015-06-25_final
2016-09-08 09:34:57	ga_ls7e_ard_3-0-0_092083_2016-09-08_final
2016-09-16 10:21:37	ga_ls7e_ard_3-0-0_100076_2016-09-16_final
2017-07-09 11:08:37	ga_ls7e_ard_3-0-0_108070_2017-07-09_final
2017-11-02 10:48:39	ga_ls7e_ard_3-0-0_104082_2017-11-02_final
2018-04-29 10:31:22	ga_ls7e_ard_3-0-0_102075_2018-04-29_final
2018-12-20 11:47:59	ga_ls7e_ard_3-0-0_115078_2018-12-20_final
2019-05-03 11:05:20	ga_ls7e_ard_3-0-0_109075_2019-05-03_final
2019-07-26 10:40:14	ga_ls7e_ard_3-0-0_105082_2019-07-26_final
2019-09-17 10:52:56	ga_ls7e_ard_3-1-0_108073_2019-09-17_final
2020-01-25 10:33:17	ga_ls7e_ard_3-1-0_106070_2020-01-25_final
2020-09-21 10:21:06	ga_ls7e_ard_3-1-0_106075_2020-09-21_final
2021-01-12 10:53:22	ga_ls7e_ard_3-1-0_113067_2021-01-12_final
2021-04-04 10:41:07	ga_ls7e_ard_3-2-0_111083_2021-04-04_final
2021-11-18 09:55:22	ga_ls7e_ard_3-2-1_107080_2021-11-18_final
2022-03-09 09:00:06	ga_ls7e_ard_3-2-1_100077_2022-03-08_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