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
2000-01-11 10:41:51	ga_ls7e_ard_3-0-0_105074_2000-01-11_final
2001-01-03 09:59:30	ga_ls7e_ard_3-0-0_099067_2001-01-03_final
2001-03-08 10:01:04	ga_ls7e_ard_3-0-0_099071_2001-03-08_final
2001-08-31 10:02:13	ga_ls7e_ard_3-0-0_099078_2001-08-31_final
2002-05-08 09:00:33	ga_ls7e_ard_3-0-0_089078_2002-05-07_final
2002-06-13 10:14:00	ga_ls7e_ard_3-0-0_101077_2002-06-13_final
2002-10-21 09:58:07	ga_ls7e_ard_3-0-0_099070_2002-10-21_final
2003-11-02 09:55:45	ga_ls7e_ard_3-0-0_098078_2003-11-02_final
2004-06-14 10:38:26	ga_ls7e_ard_3-0-0_105075_2004-06-14_final
2004-10-10 09:58:50	ga_ls7e_ard_3-0-0_099070_2004-10-10_final
2004-11-08 11:08:02	ga_ls7e_ard_3-1-0_110072_2004-11-08_final
2005-01-02 09:36:09	ga_ls7e_ard_3-1-0_095073_2005-01-02_final
2005-08-16 09:28:57	ga_ls7e_ard_3-0-0_093086_2005-08-15_final
2005-11-30 10:00:42	ga_ls7e_ard_3-0-0_099072_2005-11-30_final
2006-01-31 10:15:28	ga_ls7e_ard_3-0-0_101077_2006-01-31_final
2006-03-06 10:03:37	ga_ls7e_ard_3-0-0_099078_2006-03-06_final
2006-06-20 10:38:58	ga_ls7e_ard_3-0-0_105074_2006-06-20_final
2006-10-16 10:03:00	ga_ls7e_ard_3-0-0_099078_2006-10-16_final
2007-02-07 11:26:02	ga_ls7e_ard_3-0-0_113067_2007-02-07_final
2007-06-04 10:09:57	ga_ls7e_ard_3-0-0_100078_2007-06-04_final
2008-07-26 09:52:14	ga_ls7e_ard_3-0-0_098067_2008-07-26_final
2010-05-28 09:20:35	ga_ls7e_ard_3-0-0_091089_2010-05-27_final
2011-01-12 11:11:35	ga_ls7e_ard_3-0-0_110070_2011-01-12_final
2011-10-23 11:38:46	ga_ls7e_ard_3-0-0_114076_2011-10-23_final
2012-01-12 10:40:38	ga_ls7e_ard_3-0-0_105068_2012-01-12_final
2012-01-15 11:12:20	ga_ls7e_ard_3-0-0_110070_2012-01-15_final
2012-01-18 11:46:25	ga_ls7e_ard_3-0-0_115078_2012-01-18_final
2012-10-07 10:14:56	ga_ls7e_ard_3-0-0_100077_2012-10-07_final
2013-05-20 09:22:20	ga_ls7e_ard_3-0-0_091084_2013-05-19_final
2013-10-03 10:04:58	ga_ls7e_ard_3-0-0_099067_2013-10-03_final
2014-03-20 09:24:58	ga_ls7e_ard_3-0-0_091088_2014-03-19_final
2014-04-13 10:10:34	ga_ls7e_ard_3-0-0_099078_2014-04-13_final
2014-09-04 10:11:10	ga_ls7e_ard_3-0-0_099078_2014-09-04_final
2014-09-30 09:13:57	ga_ls7e_ard_3-1-0_089089_2014-09-29_final
2014-11-28 10:31:59	ga_ls7e_ard_3-0-0_102082_2014-11-28_final
2015-01-31 10:27:32	ga_ls7e_ard_3-0-0_102070_2015-01-31_final
2015-05-10 09:26:40	ga_ls7e_ard_3-1-0_091086_2015-05-09_final
2015-09-19 10:34:12	ga_ls7e_ard_3-0-0_103068_2015-09-19_final
2015-11-21 11:33:04	ga_ls7e_ard_3-0-0_112074_2015-11-21_final
2016-04-17 11:08:14	ga_ls7e_ard_3-0-0_108070_2016-04-17_final
2016-08-08 10:15:44	ga_ls7e_ard_3-0-0_099077_2016-08-08_final
2016-11-05 10:09:58	ga_ls7e_ard_3-0-0_098078_2016-11-05_final
2017-09-03 10:21:55	ga_ls7e_ard_3-0-0_100077_2017-09-03_final
2017-09-12 10:15:43	ga_ls7e_ard_3-0-0_099077_2017-09-12_final
2017-12-22 10:31:09	ga_ls7e_ard_3-0-0_102070_2017-12-22_final
2018-03-27 11:26:20	ga_ls7e_ard_3-0-0_111072_2018-03-27_final
2018-10-01 11:49:33	ga_ls7e_ard_3-0-0_115077_2018-10-01_final
2020-01-08 09:54:03	ga_ls7e_ard_3-1-0_099078_2020-01-08_final
2020-08-20 08:49:55	ga_ls7e_ard_3-1-0_090089_2020-08-19_final
2020-09-06 11:02:10	ga_ls7e_ard_3-1-0_113067_2020-09-06_final
2020-11-09 11:00:46	ga_ls7e_ard_3-1-0_113074_2020-11-09_final
2021-03-25 08:23:59	ga_ls7e_ard_3-2-0_089078_2021-03-24_final
2021-06-10 09:25:31	ga_ls7e_ard_3-2-0_100078_2021-06-09_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