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

45 results

Time (local)	Label
2000-02-10 09:20:48	ga_ls7e_ard_3-0-0_091088_2000-02-09_final
2000-03-27 11:08:41	ga_ls7e_ard_3-0-0_109080_2000-03-27_final
2000-09-13 10:00:58	ga_ls7e_ard_3-0-0_099070_2000-09-13_final
2000-10-15 10:03:13	ga_ls7e_ard_3-0-0_099077_2000-10-15_final
2002-08-18 10:01:40	ga_ls7e_ard_3-0-0_099078_2002-08-18_final
2003-02-17 10:05:35	ga_ls7e_ard_3-0-0_100071_2003-02-17_final
2004-03-25 09:53:26	ga_ls7e_ard_3-0-0_098070_2004-03-25_final
2004-06-27 10:08:43	ga_ls7e_ard_3-0-0_100078_2004-06-27_final
2004-12-13 09:59:07	ga_ls7e_ard_3-0-0_099069_2004-12-13_final
2005-07-09 10:02:32	ga_ls7e_ard_3-0-0_099077_2005-07-09_final
2005-10-07 09:01:06	ga_ls7e_ard_3-0-0_089079_2005-10-06_final
2006-11-21 11:15:17	ga_ls7e_ard_3-0-0_111072_2006-11-21_final
2007-02-07 11:26:02	ga_ls7e_ard_3-0-0_113067_2007-02-07_final
2007-04-04 10:42:44	ga_ls7e_ard_3-0-0_105082_2007-04-04_final
2008-02-29 10:19:28	ga_ls7e_ard_3-0-0_102071_2008-02-29_final
2009-01-21 10:25:34	ga_ls7e_ard_3-0-0_103072_2009-01-21_final
2009-11-02 09:53:23	ga_ls7e_ard_3-0-0_098067_2009-11-02_final
2009-12-11 10:06:25	ga_ls7e_ard_3-0-0_099083_2009-12-11_final
2010-01-28 10:06:01	ga_ls7e_ard_3-0-0_099080_2010-01-28_final
2010-05-09 10:25:25	ga_ls7e_ard_3-0-0_102081_2010-05-09_final
2010-08-15 10:11:31	ga_ls7e_ard_3-0-0_100077_2010-08-15_final
2010-09-09 10:06:36	ga_ls7e_ard_3-0-0_099080_2010-09-09_final
2011-01-18 08:59:39	ga_ls7e_ard_3-0-0_088080_2011-01-17_final
2011-05-21 10:21:27	ga_ls7e_ard_3-0-0_101083_2011-05-21_final
2012-02-27 10:58:41	ga_ls7e_ard_3-0-0_107082_2012-02-27_final
2012-03-06 10:03:37	ga_ls7e_ard_3-0-0_099068_2012-03-06_final
2012-04-11 09:41:14	ga_ls7e_ard_3-0-0_095074_2012-04-11_final
2012-04-24 09:16:33	ga_ls7e_ard_3-0-0_090089_2012-04-23_final
2012-08-29 10:08:46	ga_ls7e_ard_3-0-0_099078_2012-08-29_final
2012-10-31 09:25:18	ga_ls7e_ard_3-0-0_092076_2012-10-30_final
2012-11-13 10:33:22	ga_ls7e_ard_3-0-0_103076_2012-11-13_final
2013-02-25 09:48:08	ga_ls7e_ard_3-0-0_095086_2013-02-25_final
2013-09-08 10:15:16	ga_ls7e_ard_3-0-0_100078_2013-09-08_final
2014-04-06 10:00:20	ga_ls7e_ard_3-0-0_098068_2014-04-06_final
2015-10-26 09:17:53	ga_ls7e_ard_3-0-0_090077_2015-10-25_final
2015-11-20 10:47:24	ga_ls7e_ard_3-0-0_105068_2015-11-20_final
2016-10-17 09:40:46	ga_ls7e_ard_3-0-0_093082_2016-10-17_final
2018-11-04 09:59:07	ga_ls7e_ard_3-0-0_097081_2018-11-04_final
2018-12-10 09:31:07	ga_ls7e_ard_3-0-0_093075_2018-12-10_final
2019-01-27 09:34:50	ga_ls7e_ard_3-0-0_093088_2019-01-27_final
2019-04-20 11:39:07	ga_ls7e_ard_3-0-0_114081_2019-04-20_final
2019-06-05 10:09:41	ga_ls7e_ard_3-0-0_100078_2019-06-05_final
2021-03-08 09:20:58	ga_ls7e_ard_3-2-0_098078_2021-03-07_final
2021-10-10 09:48:27	ga_ls7e_ard_3-2-0_106069_2021-10-10_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years