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

46 results

Time (local)	Label
1999-10-07 09:05:57	ga_ls7e_ard_3-1-0_089081_1999-10-06_final
2000-09-04 10:09:42	ga_ls7e_ard_3-0-0_100076_2000-09-04_final
2001-03-08 10:06:15	ga_ls7e_ard_3-0-0_099084_2001-03-08_final
2001-06-27 09:22:46	ga_ls7e_ard_3-0-0_092086_2001-06-26_final
2004-04-09 10:52:59	ga_ls7e_ard_3-0-0_107080_2004-04-09_final
2004-07-07 09:11:41	ga_ls7e_ard_3-0-0_090090_2004-07-06_final
2005-07-19 09:01:08	ga_ls7e_ard_3-0-0_089078_2005-07-18_final
2005-11-08 09:01:08	ga_ls7e_ard_3-0-0_089078_2005-11-07_final
2006-02-27 09:53:02	ga_ls7e_ard_3-0-0_098067_2006-02-27_final
2006-08-04 10:11:47	ga_ls7e_ard_3-0-0_100084_2006-08-04_final
2006-09-06 09:14:52	ga_ls7e_ard_3-0-0_091081_2006-09-05_final
2007-02-15 09:06:32	ga_ls7e_ard_3-0-0_089089_2007-02-14_final
2007-06-29 10:03:46	ga_ls7e_ard_3-0-0_099078_2007-06-29_final
2007-12-13 10:09:36	ga_ls7e_ard_3-0-0_100077_2007-12-13_final
2008-03-29 09:51:42	ga_ls7e_ard_3-0-0_097079_2008-03-29_final
2008-09-09 11:03:29	ga_ls7e_ard_3-0-0_109076_2008-09-09_final
2009-02-12 09:48:38	ga_ls7e_ard_3-0-0_097072_2009-02-12_final
2009-02-27 09:07:31	ga_ls7e_ard_3-0-0_090077_2009-02-26_final
2009-06-11 11:36:15	ga_ls7e_ard_3-0-0_114077_2009-06-11_final
2009-09-06 10:01:18	ga_ls7e_ard_3-0-0_099072_2009-09-06_final
2009-10-11 10:36:05	ga_ls7e_ard_3-0-0_104082_2009-10-11_final
2010-02-21 10:53:20	ga_ls7e_ard_3-0-0_107074_2010-02-21_final
2010-07-02 11:24:28	ga_ls7e_ard_3-0-0_112074_2010-07-02_final
2010-09-01 10:57:14	ga_ls7e_ard_3-0-0_107083_2010-09-01_final
2012-01-18 10:03:33	ga_ls7e_ard_3-0-0_099068_2012-01-18_final
2012-01-26 10:54:58	ga_ls7e_ard_3-0-0_107073_2012-01-26_final
2012-02-09 11:08:38	ga_ls7e_ard_3-0-0_109076_2012-02-09_final
2012-12-18 09:27:58	ga_ls7e_ard_3-0-0_092082_2012-12-17_final
2013-09-01 10:06:12	ga_ls7e_ard_3-0-0_099071_2013-09-01_final
2013-09-20 09:02:49	ga_ls7e_ard_3-0-0_088082_2013-09-19_final
2014-01-16 10:06:19	ga_ls7e_ard_3-0-0_098084_2014-01-16_final
2014-02-11 09:03:34	ga_ls7e_ard_3-0-0_088081_2014-02-10_final
2014-09-03 11:03:35	ga_ls7e_ard_3-0-0_108070_2014-09-03_final
2014-09-16 10:37:06	ga_ls7e_ard_3-0-0_103081_2014-09-16_final
2015-03-31 10:12:34	ga_ls7e_ard_3-0-0_099078_2015-03-31_final
2015-05-06 11:25:25	ga_ls7e_ard_3-0-0_111074_2015-05-06_final
2015-07-15 10:50:20	ga_ls7e_ard_3-0-0_105078_2015-07-15_final
2016-05-13 10:10:08	ga_ls7e_ard_3-0-0_098079_2016-05-13_final
2016-06-05 10:15:38	ga_ls7e_ard_3-0-0_099077_2016-06-05_final
2016-11-14 10:05:42	ga_ls7e_ard_3-0-0_097083_2016-11-14_final
2017-03-21 09:20:06	ga_ls7e_ard_3-0-0_090078_2017-03-20_final
2018-11-07 10:25:10	ga_ls7e_ard_3-0-0_102069_2018-11-07_final
2018-12-17 09:41:29	ga_ls7e_ard_3-0-0_094086_2018-12-17_final
2019-05-13 09:59:57	ga_ls7e_ard_3-0-0_099067_2019-05-13_final
2020-06-20 09:15:48	ga_ls7e_ard_3-1-0_095067_2020-06-19_final
2021-04-16 09:21:10	ga_ls7e_ard_3-2-0_099071_2021-04-15_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