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

59 results

Time (local)	Label
1999-08-25 11:00:27	ga_ls7e_ard_3-0-0_108074_1999-08-25_final
2000-04-05 10:59:58	ga_ls7e_ard_3-0-0_108074_2000-04-05_final
2000-06-24 10:57:18	ga_ls7e_ard_3-0-0_108069_2000-06-24_final
2001-06-01 10:23:00	ga_ls7e_ard_3-0-0_102081_2001-06-01_final
2002-05-15 10:44:18	ga_ls7e_ard_3-1-0_106075_2002-05-15_final
2002-06-06 10:07:54	ga_ls7e_ard_3-0-0_100077_2002-06-06_final
2003-03-21 10:07:59	ga_ls7e_ard_3-0-0_100077_2003-03-21_final
2003-04-07 10:50:31	ga_ls7e_ard_3-0-0_107075_2003-04-07_final
2003-08-29 10:50:07	ga_ls7e_ard_3-0-0_107075_2003-08-29_final
2004-03-06 11:02:55	ga_ls7e_ard_3-0-0_109074_2004-03-06_final
2004-03-13 11:09:09	ga_ls7e_ard_3-0-0_110074_2004-03-13_final
2004-04-18 10:44:43	ga_ls7e_ard_3-1-0_106075_2004-04-18_final
2004-04-23 11:02:51	ga_ls7e_ard_3-0-0_109074_2004-04-23_final
2004-11-10 10:56:52	ga_ls7e_ard_3-1-0_108075_2004-11-10_final
2004-12-08 09:39:45	ga_ls7e_ard_3-0-0_096067_2004-12-08_final
2004-12-24 09:39:53	ga_ls7e_ard_3-0-0_096067_2004-12-24_final
2005-06-06 10:55:04	ga_ls7e_ard_3-0-0_108069_2005-06-06_final
2005-06-06 10:59:51	ga_ls7e_ard_3-0-0_108081_2005-06-06_final
2005-06-15 10:51:12	ga_ls7e_ard_3-0-0_107075_2005-06-15_final
2006-02-18 10:03:35	ga_ls7e_ard_3-0-0_099078_2006-02-18_final
2006-02-27 09:53:02	ga_ls7e_ard_3-0-0_098067_2006-02-27_final
2006-03-15 09:55:03	ga_ls7e_ard_3-0-0_098072_2006-03-15_final
2006-04-01 10:37:05	ga_ls7e_ard_3-0-0_105069_2006-04-01_final
2006-06-02 09:17:43	ga_ls7e_ard_3-0-0_091087_2006-06-01_final
2006-12-02 10:55:38	ga_ls7e_ard_3-0-0_108069_2006-12-02_final
2007-01-06 11:28:40	ga_ls7e_ard_3-0-0_113074_2007-01-06_final
2007-09-13 10:29:15	ga_ls7e_ard_3-0-0_103081_2007-09-13_final
2007-10-14 09:40:21	ga_ls7e_ard_3-0-0_096067_2007-10-14_final
2008-05-05 10:09:21	ga_ls7e_ard_3-0-0_100077_2008-05-05_final
2008-06-20 10:22:57	ga_ls7e_ard_3-0-0_102081_2008-06-20_final
2008-09-10 10:08:15	ga_ls7e_ard_3-0-0_100077_2008-09-10_final
2009-07-14 10:40:08	ga_ls7e_ard_3-0-0_105076_2009-07-14_final
2009-08-27 09:22:13	ga_ls7e_ard_3-0-0_093067_2009-08-26_final
2009-12-18 10:07:57	ga_ls7e_ard_3-0-0_100071_2009-12-18_final
2010-01-28 10:01:37	ga_ls7e_ard_3-0-0_099069_2010-01-28_final
2011-08-08 09:31:39	ga_ls7e_ard_3-1-0_094067_2011-08-08_final
2012-10-27 09:46:25	ga_ls7e_ard_3-0-0_096067_2012-10-27_final
2013-06-18 10:28:54	ga_ls7e_ard_3-0-0_102081_2013-06-18_final
2013-10-30 09:46:39	ga_ls7e_ard_3-0-0_096067_2013-10-30_final
2014-03-09 09:35:02	ga_ls7e_ard_3-1-0_094067_2014-03-09_final
2014-03-16 09:41:17	ga_ls7e_ard_3-0-0_095067_2014-03-16_final
2014-08-11 09:26:31	ga_ls7e_ard_3-0-0_091090_2014-08-10_final
2017-01-24 10:06:11	ga_ls7e_ard_3-0-0_098070_2017-01-24_final
2017-01-31 10:11:32	ga_ls7e_ard_3-0-0_099068_2017-01-31_final
2017-07-21 09:53:15	ga_ls7e_ard_3-0-0_096067_2017-07-21_final
2017-08-08 09:48:50	ga_ls7e_ard_3-0-0_094087_2017-08-08_final
2018-02-05 10:00:23	ga_ls7e_ard_3-0-0_097072_2018-02-05_final
2018-02-20 10:57:03	ga_ls7e_ard_3-1-0_106075_2018-02-20_final
2018-07-01 09:43:48	ga_ls7e_ard_3-0-0_095067_2018-07-01_final
2018-09-26 09:48:15	ga_ls7e_ard_3-0-0_096067_2018-09-26_final
2019-02-19 11:13:37	ga_ls7e_ard_3-1-0_110074_2019-02-19_final
2019-11-20 10:50:57	ga_ls7e_ard_3-1-0_108075_2019-11-20_final
2020-02-15 10:52:21	ga_ls7e_ard_3-1-0_109074_2020-02-15_final
2020-11-02 09:13:23	ga_ls7e_ard_3-1-0_096067_2020-11-01_final
2020-11-30 09:38:08	ga_ls7e_ard_3-1-0_100072_2020-11-30_final
2021-07-20 10:10:24	ga_ls7e_ard_3-2-0_108075_2021-07-20_final
2021-10-13 10:20:40	ga_ls7e_ard_3-2-0_111073_2021-10-13_final
2021-11-05 08:43:28	ga_ls7e_ard_3-2-0_096067_2021-11-04_final
2022-01-10 10:04:24	ga_ls7e_ard_3-2-1_110069_2022-01-10_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