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

51 results

Time (local)	Label
1999-10-04 10:12:44	ga_ls7e_ard_3-0-0_100078_1999-10-04_final
2000-02-24 09:32:39	ga_ls7e_ard_3-1-0_093087_2000-02-24_final
2000-03-12 10:09:29	ga_ls7e_ard_3-0-0_100071_2000-03-12_final
2000-03-14 09:56:42	ga_ls7e_ard_3-0-0_098070_2000-03-14_final
2000-07-04 09:55:46	ga_ls7e_ard_3-0-0_098070_2000-07-04_final
2000-07-18 10:13:31	ga_ls7e_ard_3-0-0_100084_2000-07-18_final
2002-04-09 11:12:19	ga_ls7e_ard_3-0-0_110083_2002-04-09_final
2002-08-01 10:53:46	ga_ls7e_ard_3-0-0_108069_2002-08-01_final
2002-10-05 10:03:38	ga_ls7e_ard_3-0-0_099084_2002-10-05_final
2003-08-15 10:38:12	ga_ls7e_ard_3-0-0_105076_2003-08-15_final
2004-02-18 10:22:22	ga_ls7e_ard_3-0-0_102081_2004-02-18_final
2004-10-09 09:17:09	ga_ls7e_ard_3-1-0_092074_2004-10-08_final
2004-10-26 10:02:18	ga_ls7e_ard_3-0-0_099078_2004-10-26_final
2005-03-10 10:06:36	ga_ls7e_ard_3-0-0_100071_2005-03-10_final
2006-02-08 11:05:45	ga_ls7e_ard_3-0-0_109079_2006-02-08_final
2006-02-10 09:13:19	ga_ls7e_ard_3-0-0_091076_2006-02-09_final
2006-03-07 10:48:28	ga_ls7e_ard_3-0-0_106082_2006-03-07_final
2006-11-05 09:37:00	ga_ls7e_ard_3-0-0_095074_2006-11-05_final
2007-09-11 09:03:56	ga_ls7e_ard_3-0-0_089084_2007-09-10_final
2007-09-16 10:55:21	ga_ls7e_ard_3-0-0_108069_2007-09-16_final
2008-01-27 11:14:02	ga_ls7e_ard_3-0-0_111068_2008-01-27_final
2009-12-04 11:38:15	ga_ls7e_ard_3-0-0_114081_2009-12-04_final
2010-01-30 11:30:10	ga_ls7e_ard_3-0-0_113074_2010-01-30_final
2010-03-25 09:15:51	ga_ls7e_ard_3-0-0_091077_2010-03-24_final
2011-02-18 11:33:30	ga_ls7e_ard_3-0-0_113078_2011-02-18_final
2011-04-09 11:20:54	ga_ls7e_ard_3-0-0_111077_2011-04-09_final
2011-07-02 10:58:52	ga_ls7e_ard_3-0-0_107084_2011-07-02_final
2012-11-01 10:11:45	ga_ls7e_ard_3-0-0_099084_2012-11-01_final
2013-06-06 10:05:01	ga_ls7e_ard_3-0-0_098083_2013-06-06_final
2014-04-22 10:00:55	ga_ls7e_ard_3-0-0_098069_2014-04-22_final
2014-09-06 11:37:41	ga_ls7e_ard_3-0-0_113078_2014-09-06_final
2014-11-01 10:47:34	ga_ls7e_ard_3-0-0_105075_2014-11-01_final
2014-12-09 11:50:00	ga_ls7e_ard_3-0-0_115076_2014-12-09_final
2015-06-11 09:27:16	ga_ls7e_ard_3-0-0_091087_2015-06-10_final
2016-02-08 09:13:34	ga_ls7e_ard_3-0-0_089078_2016-02-07_final
2016-08-25 09:22:09	ga_ls7e_ard_3-0-0_090082_2016-08-24_final
2017-01-23 11:01:49	ga_ls7e_ard_3-0-0_107070_2017-01-23_final
2017-05-26 10:44:57	ga_ls7e_ard_3-0-0_104073_2017-05-26_final
2017-06-05 09:43:12	ga_ls7e_ard_3-0-0_094073_2017-06-05_final
2018-04-13 10:34:02	ga_ls7e_ard_3-0-0_102081_2018-04-13_final
2018-05-05 09:53:46	ga_ls7e_ard_3-0-0_096074_2018-05-05_final
2018-11-03 10:55:34	ga_ls7e_ard_3-0-0_106083_2018-11-03_final
2018-11-10 10:56:48	ga_ls7e_ard_3-0-0_107071_2018-11-10_final
2019-02-28 09:29:28	ga_ls7e_ard_3-1-0_093077_2019-02-27_final
2020-01-08 09:51:15	ga_ls7e_ard_3-1-0_099071_2020-01-08_final
2020-06-28 10:10:21	ga_ls7e_ard_3-1-0_103081_2020-06-28_final
2020-09-08 10:52:28	ga_ls7e_ard_3-1-0_111074_2020-09-08_final
2020-12-21 09:55:06	ga_ls7e_ard_3-1-0_103072_2020-12-21_final
2021-04-15 10:18:52	ga_ls7e_ard_3-2-0_108076_2021-04-15_final
2022-02-10 09:22:53	ga_ls7e_ard_3-2-1_103081_2022-02-09_final
2022-04-06 09:23:17	ga_ls7e_ard_3-2-1_104080_2022-04-05_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