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

62 results

Time (local)	Label
2000-05-22 10:17:29	ga_ls7e_ard_3-0-0_101077_2000-05-22_final
2000-06-24 09:25:12	ga_ls7e_ard_3-0-0_092086_2000-06-23_final
2000-09-05 10:54:32	ga_ls7e_ard_3-0-0_107080_2000-09-05_final
2000-11-04 09:34:46	ga_ls7e_ard_3-0-0_095067_2000-11-04_final
2000-12-06 09:34:42	ga_ls7e_ard_3-0-0_095067_2000-12-06_final
2001-05-24 11:09:44	ga_ls7e_ard_3-0-0_110074_2001-05-24_final
2001-09-08 10:50:21	ga_ls7e_ard_3-0-0_107075_2001-09-08_final
2001-11-05 09:49:33	ga_ls7e_ard_3-0-0_097078_2001-11-05_final
2001-11-18 10:56:04	ga_ls7e_ard_3-1-0_108074_2001-11-18_final
2002-06-22 10:07:46	ga_ls7e_ard_3-0-0_100077_2002-06-22_final
2003-03-13 10:56:17	ga_ls7e_ard_3-0-0_108074_2003-03-13_final
2003-08-04 10:53:57	ga_ls7e_ard_3-0-0_108069_2003-08-04_final
2003-08-18 11:08:43	ga_ls7e_ard_3-0-0_110075_2003-08-18_final
2003-10-12 11:13:23	ga_ls7e_ard_3-0-0_111072_2003-10-12_final
2003-10-18 08:59:57	ga_ls7e_ard_3-0-0_089078_2003-10-17_final
2004-10-07 09:26:43	ga_ls7e_ard_3-1-0_094067_2004-10-06_final
2005-07-20 11:18:54	ga_ls7e_ard_3-0-0_112067_2005-07-20_final
2005-12-20 09:34:02	ga_ls7e_ard_3-0-0_095067_2005-12-20_final
2006-06-03 09:57:47	ga_ls7e_ard_3-0-0_098079_2006-06-03_final
2006-07-13 10:45:23	ga_ls7e_ard_3-1-0_106075_2006-07-13_final
2006-09-07 09:57:19	ga_ls7e_ard_3-0-0_098079_2006-09-07_final
2007-03-06 11:14:24	ga_ls7e_ard_3-0-0_110084_2007-03-06_final
2007-03-20 09:41:07	ga_ls7e_ard_3-0-0_096067_2007-03-20_final
2007-03-24 10:56:05	ga_ls7e_ard_3-0-0_108069_2007-03-24_final
2007-04-14 09:36:55	ga_ls7e_ard_3-0-0_095072_2007-04-14_final
2007-05-21 11:36:57	ga_ls7e_ard_3-0-0_114079_2007-05-21_final
2007-08-13 09:28:17	ga_ls7e_ard_3-1-0_094067_2007-08-12_final
2007-09-16 10:55:21	ga_ls7e_ard_3-0-0_108069_2007-09-16_final
2007-11-06 09:47:36	ga_ls7e_ard_3-0-0_097069_2007-11-06_final
2007-11-19 10:55:42	ga_ls7e_ard_3-0-0_108069_2007-11-19_final
2007-11-24 11:16:16	ga_ls7e_ard_3-0-0_111074_2007-11-24_final
2007-12-22 10:00:15	ga_ls7e_ard_3-0-0_099069_2007-12-22_final
2008-03-26 11:01:17	ga_ls7e_ard_3-0-0_108083_2008-03-26_final
2008-05-24 10:39:44	ga_ls7e_ard_3-0-0_105076_2008-05-24_final
2008-10-15 09:04:47	ga_ls7e_ard_3-0-0_089089_2008-10-14_final
2009-12-22 09:41:42	ga_ls7e_ard_3-0-0_096067_2009-12-22_final
2010-04-28 09:05:30	ga_ls7e_ard_3-0-0_089082_2010-04-27_final
2010-08-01 09:59:33	ga_ls7e_ard_3-0-0_098078_2010-08-01_final
2010-08-21 11:09:21	ga_ls7e_ard_3-0-0_110067_2010-08-21_final
2011-04-25 09:38:01	ga_ls7e_ard_3-0-0_095067_2011-04-25_final
2012-01-09 10:13:20	ga_ls7e_ard_3-0-0_100077_2012-01-09_final
2012-01-28 10:43:01	ga_ls7e_ard_3-0-0_105074_2012-01-28_final
2013-08-31 09:30:07	ga_ls7e_ard_3-1-0_092089_2013-08-31_final
2013-11-28 10:56:03	ga_ls7e_ard_3-0-0_107070_2013-11-28_final
2014-02-10 11:39:17	ga_ls7e_ard_3-0-0_113084_2014-02-10_final
2014-12-27 11:34:10	ga_ls7e_ard_3-0-0_113067_2014-12-27_final
2015-03-08 10:08:37	ga_ls7e_ard_3-0-0_098084_2015-03-08_final
2015-04-21 10:32:29	ga_ls7e_ard_3-0-0_102081_2015-04-21_final
2016-09-09 10:16:13	ga_ls7e_ard_3-0-0_099078_2016-09-09_final
2016-10-15 09:47:09	ga_ls7e_ard_3-0-0_095067_2016-10-15_final
2017-08-11 10:16:32	ga_ls7e_ard_3-0-0_099079_2017-08-11_final
2017-08-22 11:32:05	ga_ls7e_ard_3-0-0_112067_2017-08-22_final
2018-03-23 10:11:49	ga_ls7e_ard_3-0-0_099071_2018-03-23_final
2018-03-23 10:12:13	ga_ls7e_ard_3-0-0_099072_2018-03-23_final
2018-06-09 10:25:42	ga_ls7e_ard_3-0-0_101078_2018-06-09_final
2018-06-13 10:01:18	ga_ls7e_ard_3-0-0_097079_2018-06-13_final
2019-01-06 09:15:22	ga_ls7e_ard_3-0-0_090084_2019-01-05_final
2019-05-01 09:35:42	ga_ls7e_ard_3-0-0_095067_2019-05-01_final
2019-05-06 11:37:43	ga_ls7e_ard_3-0-0_114079_2019-05-06_final
2020-06-16 09:47:32	ga_ls7e_ard_3-1-0_099084_2020-06-16_final
2020-09-15 10:55:23	ga_ls7e_ard_3-1-0_112067_2020-09-15_final
2021-08-06 09:11:42	ga_ls7e_ard_3-2-0_099071_2021-08-05_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