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

53 results

Time (local)	Label
1999-11-04 09:32:54	ga_ls7e_ard_3-1-0_093087_1999-11-04_final
1999-11-30 10:03:54	ga_ls7e_ard_3-0-0_099072_1999-11-30_final
2000-01-21 11:18:52	ga_ls7e_ard_3-0-0_111074_2000-01-21_final
2000-09-02 10:24:30	ga_ls7e_ard_3-0-0_102082_2000-09-02_final
2000-10-01 11:32:29	ga_ls7e_ard_3-0-0_113083_2000-10-01_final
2000-12-13 09:44:58	ga_ls7e_ard_3-0-0_096077_2000-12-13_final
2002-01-05 10:56:13	ga_ls7e_ard_3-0-0_108074_2002-01-05_final
2002-07-06 10:18:05	ga_ls7e_ard_3-0-0_102072_2002-07-06_final
2003-09-22 10:01:19	ga_ls7e_ard_3-0-0_099077_2003-09-22_final
2003-12-12 09:11:26	ga_ls7e_ard_3-0-0_090090_2003-12-11_final
2004-01-11 10:56:28	ga_ls7e_ard_3-0-0_108074_2004-01-11_final
2004-03-18 11:24:55	ga_ls7e_ard_3-0-0_113067_2004-03-18_final
2004-04-11 10:37:01	ga_ls7e_ard_3-0-0_105071_2004-04-11_final
2004-06-19 09:20:04	ga_ls7e_ard_3-0-0_092080_2004-06-18_final
2004-08-06 09:23:27	ga_ls7e_ard_3-0-0_092089_2004-08-05_final
2007-07-16 09:08:06	ga_ls7e_ard_3-0-0_090078_2007-07-15_final
2007-10-19 10:00:33	ga_ls7e_ard_3-0-0_099071_2007-10-19_final
2008-01-10 10:35:58	ga_ls7e_ard_3-0-0_104081_2008-01-10_final
2008-04-05 11:37:10	ga_ls7e_ard_3-0-0_114080_2008-04-05_final
2008-10-19 10:16:13	ga_ls7e_ard_3-0-0_101082_2008-10-19_final
2008-12-18 09:04:02	ga_ls7e_ard_3-0-0_089085_2008-12-17_final
2009-06-05 08:57:34	ga_ls7e_ard_3-0-0_088082_2009-06-04_final
2009-08-11 11:04:18	ga_ls7e_ard_3-0-0_109075_2009-08-11_final
2010-03-14 09:38:20	ga_ls7e_ard_3-0-0_094087_2010-03-14_final
2010-03-23 11:06:18	ga_ls7e_ard_3-0-0_109075_2010-03-23_final
2010-04-26 09:19:52	ga_ls7e_ard_3-0-0_091087_2010-04-25_final
2010-07-07 11:45:00	ga_ls7e_ard_3-0-0_115079_2010-07-07_final
2010-09-09 10:06:36	ga_ls7e_ard_3-0-0_099080_2010-09-09_final
2010-11-26 10:17:32	ga_ls7e_ard_3-1-0_101075_2010-11-26_final
2011-02-11 11:27:41	ga_ls7e_ard_3-0-0_112079_2011-02-11_final
2012-03-04 10:17:11	ga_ls7e_ard_3-0-0_101071_2012-03-04_final
2012-06-03 09:58:07	ga_ls7e_ard_3-0-0_098069_2012-06-03_final
2013-04-17 10:15:16	ga_ls7e_ard_3-0-0_100077_2013-04-17_final
2013-06-20 10:12:32	ga_ls7e_ard_3-0-0_100071_2013-06-20_final
2013-10-30 11:25:32	ga_ls7e_ard_3-0-0_112067_2013-10-30_final
2013-12-30 10:56:36	ga_ls7e_ard_3-0-0_107071_2013-12-30_final
2014-08-14 11:27:07	ga_ls7e_ard_3-0-0_112067_2014-08-14_final
2015-06-20 10:54:48	ga_ls7e_ard_3-0-0_106074_2015-06-20_final
2015-12-28 10:16:51	ga_ls7e_ard_3-0-0_099083_2015-12-28_final
2016-01-29 10:17:18	ga_ls7e_ard_3-0-0_099083_2016-01-29_final
2016-02-07 10:07:35	ga_ls7e_ard_3-0-0_098074_2016-02-07_final
2016-03-08 10:21:20	ga_ls7e_ard_3-0-0_100077_2016-03-08_final
2016-05-01 11:19:29	ga_ls7e_ard_3-0-0_110067_2016-05-01_final
2016-07-20 11:22:53	ga_ls7e_ard_3-0-0_110075_2016-07-20_final
2016-12-23 10:05:20	ga_ls7e_ard_3-0-0_098067_2016-12-23_final
2017-04-14 10:06:05	ga_ls7e_ard_3-0-0_098069_2017-04-14_final
2018-01-11 10:06:10	ga_ls7e_ard_3-0-0_098070_2018-01-11_final
2018-06-14 10:40:09	ga_ls7e_ard_3-0-0_104068_2018-06-14_final
2019-01-20 09:27:41	ga_ls7e_ard_3-0-0_092085_2019-01-19_final
2019-06-26 10:25:03	ga_ls7e_ard_3-0-0_103072_2019-06-26_final
2019-06-30 10:02:11	ga_ls7e_ard_3-0-0_099077_2019-06-30_final
2019-12-17 10:31:05	ga_ls7e_ard_3-1-0_105075_2019-12-17_final
2021-02-26 10:22:20	ga_ls7e_ard_3-2-0_108075_2021-02-26_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