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

54 results

Time (local)	Label
2000-12-27 09:53:48	ga_ls7e_ard_3-0-0_098068_2000-12-27_final
2001-06-12 11:42:01	ga_ls7e_ard_3-0-0_115078_2001-06-12_final
2001-07-20 11:01:50	ga_ls7e_ard_3-0-0_109071_2001-07-20_final
2003-02-25 10:54:36	ga_ls7e_ard_3-0-0_108070_2003-02-25_final
2003-04-12 11:08:40	ga_ls7e_ard_3-0-0_110074_2003-04-12_final
2004-04-28 11:18:37	ga_ls7e_ard_3-0-0_112067_2004-04-28_final
2004-05-19 10:02:18	ga_ls7e_ard_3-0-0_099077_2004-05-19_final
2004-08-03 10:28:14	ga_ls7e_ard_3-0-0_103081_2004-08-03_final
2004-08-16 11:33:26	ga_ls7e_ard_3-0-0_114074_2004-08-16_final
2004-11-08 11:08:02	ga_ls7e_ard_3-1-0_110072_2004-11-08_final
2004-12-29 11:42:08	ga_ls7e_ard_3-0-0_115079_2004-12-29_final
2005-02-27 10:29:06	ga_ls7e_ard_3-0-0_103081_2005-02-27_final
2005-03-12 09:53:27	ga_ls7e_ard_3-0-0_098069_2005-03-12_final
2005-03-13 09:02:37	ga_ls7e_ard_3-1-0_089081_2005-03-12_final
2005-12-03 10:35:37	ga_ls7e_ard_3-0-0_104082_2005-12-03_final
2005-12-26 10:38:42	ga_ls7e_ard_3-0-0_105074_2005-12-26_final
2006-02-02 10:00:44	ga_ls7e_ard_3-0-0_099071_2006-02-02_final
2006-02-02 10:03:07	ga_ls7e_ard_3-0-0_099077_2006-02-02_final
2006-02-09 10:09:20	ga_ls7e_ard_3-0-0_100077_2006-02-09_final
2006-03-07 09:11:11	ga_ls7e_ard_3-0-0_090086_2006-03-06_final
2006-11-11 09:06:23	ga_ls7e_ard_3-0-0_089090_2006-11-10_final
2006-12-30 09:43:12	ga_ls7e_ard_3-0-0_096073_2006-12-30_final
2007-02-05 10:03:29	ga_ls7e_ard_3-0-0_099077_2007-02-05_final
2007-04-09 11:02:04	ga_ls7e_ard_3-0-0_108084_2007-04-09_final
2007-07-19 09:36:35	ga_ls7e_ard_3-0-0_095072_2007-07-19_final
2007-11-21 10:44:57	ga_ls7e_ard_3-0-0_106073_2007-11-21_final
2008-01-01 09:06:27	ga_ls7e_ard_3-1-0_089089_2007-12-31_final
2008-01-14 10:09:39	ga_ls7e_ard_3-0-0_100077_2008-01-14_final
2009-01-14 10:22:57	ga_ls7e_ard_3-0-0_102081_2009-01-14_final
2009-04-27 10:29:50	ga_ls7e_ard_3-0-0_103081_2009-04-27_final
2009-05-29 10:25:29	ga_ls7e_ard_3-0-0_103070_2009-05-29_final
2009-08-30 09:59:54	ga_ls7e_ard_3-0-0_098084_2009-08-30_final
2010-12-30 10:05:04	ga_ls7e_ard_3-0-0_099074_2010-12-30_final
2012-07-27 09:28:45	ga_ls7e_ard_3-0-0_092087_2012-07-26_final
2012-11-17 10:09:29	ga_ls7e_ard_3-0-0_099078_2012-11-17_final
2013-04-17 10:12:53	ga_ls7e_ard_3-0-0_100071_2013-04-17_final
2013-11-23 10:36:39	ga_ls7e_ard_3-0-0_104068_2013-11-23_final
2014-08-01 10:25:07	ga_ls7e_ard_3-0-0_101082_2014-08-01_final
2014-08-26 10:16:54	ga_ls7e_ard_3-0-0_100077_2014-08-26_final
2015-09-04 11:19:45	ga_ls7e_ard_3-0-0_110074_2015-09-04_final
2015-09-19 10:34:12	ga_ls7e_ard_3-0-0_103068_2015-09-19_final
2016-01-06 11:43:20	ga_ls7e_ard_3-0-0_114067_2016-01-06_final
2017-02-25 10:06:11	ga_ls7e_ard_3-0-0_098070_2017-02-25_final
2017-07-30 11:28:20	ga_ls7e_ard_3-0-0_111073_2017-07-30_final
2017-09-09 11:22:54	ga_ls7e_ard_3-0-0_110075_2017-09-09_final
2018-01-23 10:30:19	ga_ls7e_ard_3-0-0_102069_2018-01-23_final
2018-07-13 10:09:53	ga_ls7e_ard_3-0-0_099071_2018-07-13_final
2018-11-17 11:03:36	ga_ls7e_ard_3-0-0_108073_2018-11-17_final
2020-11-07 11:14:03	ga_ls7e_ard_3-1-0_115076_2020-11-07_final
2021-10-03 08:10:23	ga_ls7e_ard_3-2-0_089085_2021-10-02_final
2021-10-15 10:08:56	ga_ls7e_ard_3-2-0_109075_2021-10-15_final
2021-10-21 09:33:42	ga_ls7e_ard_3-2-0_103081_2021-10-21_final
2022-02-02 10:08:22	ga_ls7e_ard_3-2-1_111069_2022-02-02_final
2022-02-13 09:52:40	ga_ls7e_ard_3-2-1_108079_2022-02-13_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years