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

71 results

Time (local)	Label
2000-02-05 08:59:54	ga_ls7e_ard_3-0-0_088082_2000-02-04_final
2000-07-18 10:12:19	ga_ls7e_ard_3-0-0_100081_2000-07-18_final
2001-03-24 11:42:35	ga_ls7e_ard_3-0-0_115078_2001-03-24_final
2001-03-27 10:33:23	ga_ls7e_ard_3-0-0_104075_2001-03-27_final
2001-05-12 10:43:08	ga_ls7e_ard_3-0-0_106069_2001-05-12_final
2001-09-16 10:02:01	ga_ls7e_ard_3-0-0_099078_2001-09-16_final
2002-04-07 11:24:40	ga_ls7e_ard_3-0-0_112083_2002-04-07_final
2002-07-30 11:10:56	ga_ls7e_ard_3-0-0_110081_2002-07-30_final
2002-12-08 10:02:10	ga_ls7e_ard_3-0-0_099079_2002-12-08_final
2003-10-22 10:14:59	ga_ls7e_ard_3-0-0_101080_2003-10-22_final
2004-02-08 09:46:29	ga_ls7e_ard_3-0-0_096084_2004-02-08_final
2004-06-03 09:22:58	ga_ls7e_ard_3-0-0_092087_2004-06-02_final
2005-01-30 10:00:10	ga_ls7e_ard_3-0-0_099071_2005-01-30_final
2005-05-09 10:32:02	ga_ls7e_ard_3-0-0_104073_2005-05-09_final
2005-05-10 11:16:30	ga_ls7e_ard_3-0-0_111076_2005-05-10_final
2005-07-06 11:13:19	ga_ls7e_ard_3-1-0_110084_2005-07-06_final
2005-07-17 09:15:30	ga_ls7e_ard_3-0-0_091083_2005-07-16_final
2005-08-26 09:59:11	ga_ls7e_ard_3-0-0_099069_2005-08-26_final
2006-02-10 09:18:06	ga_ls7e_ard_3-0-0_091088_2006-02-09_final
2006-02-11 09:53:47	ga_ls7e_ard_3-0-0_098069_2006-02-11_final
2006-03-01 11:23:09	ga_ls7e_ard_3-0-0_112076_2006-03-01_final
2006-05-27 09:49:37	ga_ls7e_ard_3-0-0_097074_2006-05-27_final
2006-10-09 09:56:42	ga_ls7e_ard_3-0-0_098078_2006-10-09_final
2007-03-26 10:48:07	ga_ls7e_ard_3-0-0_106080_2007-03-26_final
2008-02-15 10:09:59	ga_ls7e_ard_3-0-0_100078_2008-02-15_final
2008-06-07 09:18:41	ga_ls7e_ard_3-0-0_091090_2008-06-06_final
2008-11-14 09:12:25	ga_ls7e_ard_3-0-0_091076_2008-11-13_final
2008-12-11 10:29:53	ga_ls7e_ard_3-0-0_104068_2008-12-11_final
2009-06-25 10:11:18	ga_ls7e_ard_3-1-0_100081_2009-06-25_final
2009-10-10 09:48:24	ga_ls7e_ard_3-0-0_097071_2009-10-10_final
2009-10-20 10:30:03	ga_ls7e_ard_3-0-0_103082_2009-10-20_final
2009-11-10 09:11:38	ga_ls7e_ard_3-0-0_090086_2009-11-09_final
2010-09-10 10:50:40	ga_ls7e_ard_3-0-0_106082_2010-09-10_final
2010-12-06 09:16:14	ga_ls7e_ard_3-0-0_091076_2010-12-05_final
2011-06-26 09:51:06	ga_ls7e_ard_3-0-0_097069_2011-06-26_final
2011-10-22 09:16:37	ga_ls7e_ard_3-0-0_091076_2011-10-21_final
2012-08-01 09:39:21	ga_ls7e_ard_3-0-0_095067_2012-08-01_final
2012-10-07 10:15:44	ga_ls7e_ard_3-0-0_100079_2012-10-07_final
2013-03-19 10:45:30	ga_ls7e_ard_3-0-0_105075_2013-03-19_final
2013-06-30 09:16:38	ga_ls7e_ard_3-0-0_090086_2013-06-29_final
2014-03-21 11:38:45	ga_ls7e_ard_3-0-0_114067_2014-03-21_final
2014-04-05 09:23:51	ga_ls7e_ard_3-0-0_091085_2014-04-04_final
2014-04-07 09:13:05	ga_ls7e_ard_3-1-0_089089_2014-04-06_final
2015-05-02 10:12:26	ga_ls7e_ard_3-0-0_099077_2015-05-02_final
2015-07-30 10:07:06	ga_ls7e_ard_3-0-0_098078_2015-07-30_final
2016-01-20 10:21:23	ga_ls7e_ard_3-0-0_100078_2016-01-20_final
2016-04-01 11:10:30	ga_ls7e_ard_3-0-0_108076_2016-04-01_final
2016-09-01 11:02:27	ga_ls7e_ard_3-0-0_107070_2016-09-01_final
2017-02-28 10:36:19	ga_ls7e_ard_3-0-0_103068_2017-02-28_final
2017-03-04 10:12:02	ga_ls7e_ard_3-0-0_099069_2017-03-04_final
2017-03-20 10:12:55	ga_ls7e_ard_3-0-0_099071_2017-03-20_final
2017-06-09 09:25:17	ga_ls7e_ard_3-0-0_090090_2017-06-08_final
2017-08-12 09:25:18	ga_ls7e_ard_3-0-0_090090_2017-08-11_final
2017-10-18 11:25:56	ga_ls7e_ard_3-0-0_111067_2017-10-18_final
2017-10-24 09:14:21	ga_ls7e_ard_3-0-0_089078_2017-10-23_final
2018-10-09 09:24:37	ga_ls7e_ard_3-1-0_091086_2018-10-08_final
2019-03-03 09:57:05	ga_ls7e_ard_3-1-0_098069_2019-03-03_final
2019-04-26 11:03:01	ga_ls7e_ard_3-0-0_108084_2019-04-26_final
2019-07-07 10:06:54	ga_ls7e_ard_3-0-0_100074_2019-07-07_final
2020-05-19 10:56:34	ga_ls7e_ard_3-1-0_111067_2020-05-19_final
2020-08-21 09:28:19	ga_ls7e_ard_3-1-0_097077_2020-08-20_final
2020-12-08 08:54:30	ga_ls7e_ard_3-1-0_092088_2020-12-07_final
2021-01-02 08:44:30	ga_ls7e_ard_3-1-0_091083_2021-01-01_final
2021-05-19 10:03:15	ga_ls7e_ard_3-2-0_106075_2021-05-19_final
2021-06-18 08:39:01	ga_ls7e_ard_3-2-0_092087_2021-06-17_final
2021-06-29 08:17:58	ga_ls7e_ard_3-2-0_089083_2021-06-28_final
2021-07-04 08:38:29	ga_ls7e_ard_3-2-0_092089_2021-07-03_final
2021-08-17 08:58:10	ga_ls7e_ard_3-2-0_096086_2021-08-16_final
2021-10-08 08:24:30	ga_ls7e_ard_3-2-0_092075_2021-10-07_final
2021-12-31 09:27:54	ga_ls7e_ard_3-2-1_104068_2021-12-30_final
2022-02-14 08:52:58	ga_ls7e_ard_3-2-1_099069_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years