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
1999-07-24 10:58:22	ga_ls7e_ard_3-0-0_108069_1999-07-24_final
1999-09-18 10:12:09	ga_ls7e_ard_3-0-0_100077_1999-09-18_final
2000-03-26 10:25:50	ga_ls7e_ard_3-0-0_102081_2000-03-26_final
2000-07-26 10:56:45	ga_ls7e_ard_3-0-0_108069_2000-07-26_final
2000-08-11 10:56:38	ga_ls7e_ard_3-0-0_108069_2000-08-11_final
2000-10-26 09:40:53	ga_ls7e_ard_3-0-0_096067_2000-10-26_final
2001-07-13 10:54:54	ga_ls7e_ard_3-0-0_108069_2001-07-13_final
2002-07-24 10:07:33	ga_ls7e_ard_3-0-0_100077_2002-07-24_final
2002-11-07 10:43:52	ga_ls7e_ard_3-0-0_106076_2002-11-07_final
2003-02-11 10:44:15	ga_ls7e_ard_3-1-0_106075_2003-02-11_final
2003-05-02 10:44:21	ga_ls7e_ard_3-1-0_106075_2003-05-02_final
2003-05-18 10:44:40	ga_ls7e_ard_3-0-0_106076_2003-05-18_final
2004-03-26 10:38:17	ga_ls7e_ard_3-0-0_105074_2004-03-26_final
2004-04-08 10:06:08	ga_ls7e_ard_3-0-0_100071_2004-04-08_final
2004-06-05 10:45:05	ga_ls7e_ard_3-0-0_106076_2004-06-05_final
2004-06-11 10:08:21	ga_ls7e_ard_3-0-0_100077_2004-06-11_final
2004-09-01 09:58:28	ga_ls7e_ard_3-0-0_098084_2004-09-01_final
2004-09-25 10:44:11	ga_ls7e_ard_3-1-0_106075_2004-09-25_final
2005-02-09 09:02:28	ga_ls7e_ard_3-1-0_089081_2005-02-08_final
2005-05-28 11:03:42	ga_ls7e_ard_3-0-0_109075_2005-05-28_final
2005-06-22 10:54:58	ga_ls7e_ard_3-0-0_108069_2005-06-22_final
2005-12-24 10:51:26	ga_ls7e_ard_3-0-0_107075_2005-12-24_final
2007-01-29 11:35:20	ga_ls7e_ard_3-0-0_114075_2007-01-29_final
2007-11-04 10:01:56	ga_ls7e_ard_3-0-0_099074_2007-11-04_final
2008-05-03 10:23:19	ga_ls7e_ard_3-0-0_102081_2008-05-03_final
2008-06-15 09:58:52	ga_ls7e_ard_3-0-0_099067_2008-06-15_final
2009-01-27 09:49:43	ga_ls7e_ard_3-0-0_097075_2009-01-27_final
2009-02-04 10:38:47	ga_ls7e_ard_3-0-0_105074_2009-02-04_final
2010-01-01 10:24:33	ga_ls7e_ard_3-0-0_102081_2010-01-01_final
2010-02-02 10:25:01	ga_ls7e_ard_3-0-0_102081_2010-02-02_final
2010-06-26 10:25:26	ga_ls7e_ard_3-0-0_102081_2010-06-26_final
2010-06-29 10:53:57	ga_ls7e_ard_3-0-0_107075_2010-06-29_final
2011-09-04 10:55:06	ga_ls7e_ard_3-0-0_107075_2011-09-04_final
2012-01-26 10:55:45	ga_ls7e_ard_3-0-0_107075_2012-01-26_final
2012-12-14 09:46:40	ga_ls7e_ard_3-0-0_096067_2012-12-14_final
2013-10-02 09:29:40	ga_ls7e_ard_3-0-0_092087_2013-10-01_final
2014-02-01 10:01:01	ga_ls7e_ard_3-0-0_098070_2014-02-01_final
2015-02-22 09:49:23	ga_ls7e_ard_3-0-0_096067_2015-02-22_final
2015-04-21 10:32:29	ga_ls7e_ard_3-0-0_102081_2015-04-21_final
2015-05-01 09:28:22	ga_ls7e_ard_3-0-0_092075_2015-04-30_final
2015-07-22 10:56:08	ga_ls7e_ard_3-0-0_106077_2015-07-22_final
2016-02-02 11:28:18	ga_ls7e_ard_3-0-0_111075_2016-02-02_final
2016-07-30 10:21:54	ga_ls7e_ard_3-0-0_100077_2016-07-30_final
2017-07-15 10:35:55	ga_ls7e_ard_3-0-0_102081_2017-07-15_final
2017-10-25 09:53:14	ga_ls7e_ard_3-0-0_096067_2017-10-25_final
2018-01-13 09:52:35	ga_ls7e_ard_3-0-0_096067_2018-01-13_final
2018-11-08 11:10:48	ga_ls7e_ard_3-0-0_109075_2018-11-08_final
2018-12-28 10:55:31	ga_ls7e_ard_3-0-0_107071_2018-12-28_final
2019-02-07 10:49:39	ga_ls7e_ard_3-1-0_106075_2019-02-07_final
2019-08-28 09:37:16	ga_ls7e_ard_3-1-0_096067_2019-08-28_final
2020-02-02 09:48:38	ga_ls7e_ard_3-1-0_098083_2020-02-02_final
2020-04-19 10:49:36	ga_ls7e_ard_3-1-0_109076_2020-04-19_final
2020-04-20 09:54:20	ga_ls7e_ard_3-1-0_100077_2020-04-20_final
2020-06-10 08:46:53	ga_ls7e_ard_3-1-0_089086_2020-06-09_final
2020-08-26 09:46:32	ga_ls7e_ard_3-1-0_100077_2020-08-26_final
2021-02-13 09:19:20	ga_ls7e_ard_3-2-0_097085_2021-02-12_final
2021-06-20 10:00:35	ga_ls7e_ard_3-2-0_106075_2021-06-20_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