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

55 results

Time (local)	Label
2000-01-17 10:06:19	ga_ls7e_ard_3-0-0_099078_2000-01-17_final
2000-08-12 10:04:12	ga_ls7e_ard_3-0-0_099077_2000-08-12_final
2001-08-12 11:08:01	ga_ls7e_ard_3-1-0_110072_2001-08-12_final
2002-06-22 10:08:10	ga_ls7e_ard_3-0-0_100078_2002-06-22_final
2002-08-12 10:37:59	ga_ls7e_ard_3-0-0_105076_2002-08-12_final
2004-01-07 09:40:42	ga_ls7e_ard_3-0-0_096070_2004-01-07_final
2004-06-06 09:48:40	ga_ls7e_ard_3-0-0_097074_2004-06-06_final
2005-05-15 09:56:33	ga_ls7e_ard_3-0-0_098077_2005-05-15_final
2005-07-22 09:30:26	ga_ls7e_ard_3-0-0_094074_2005-07-22_final
2005-09-08 11:09:26	ga_ls7e_ard_3-0-0_110075_2005-09-08_final
2006-01-26 11:34:35	ga_ls7e_ard_3-0-0_114074_2006-01-26_final
2006-08-21 10:50:37	ga_ls7e_ard_3-0-0_107073_2006-08-21_final
2007-01-30 09:04:26	ga_ls7e_ard_3-0-0_089084_2007-01-29_final
2007-10-07 09:40:04	ga_ls7e_ard_3-0-0_095082_2007-10-07_final
2008-01-23 11:42:45	ga_ls7e_ard_3-0-0_115078_2008-01-23_final
2008-07-07 09:24:20	ga_ls7e_ard_3-0-0_093074_2008-07-06_final
2008-10-13 10:50:00	ga_ls7e_ard_3-0-0_107074_2008-10-13_final
2008-12-09 09:06:56	ga_ls7e_ard_3-0-0_090077_2008-12-08_final
2009-04-17 09:48:43	ga_ls7e_ard_3-0-0_097071_2009-04-17_final
2009-06-19 09:11:06	ga_ls7e_ard_3-1-0_090085_2009-06-18_final
2009-07-30 10:40:03	ga_ls7e_ard_3-0-0_105076_2009-07-30_final
2009-09-23 09:12:26	ga_ls7e_ard_3-0-0_090089_2009-09-22_final
2010-07-17 09:05:56	ga_ls7e_ard_3-0-0_089083_2010-07-16_final
2010-07-28 10:21:05	ga_ls7e_ard_3-0-0_102070_2010-07-28_final
2010-10-27 10:03:13	ga_ls7e_ard_3-0-0_099071_2010-10-27_final
2010-11-28 10:05:36	ga_ls7e_ard_3-0-0_099076_2010-11-28_final
2012-05-26 10:52:56	ga_ls7e_ard_3-0-0_106082_2012-05-26_final
2012-08-31 09:58:50	ga_ls7e_ard_3-0-0_097084_2012-08-31_final
2013-07-18 09:02:06	ga_ls7e_ard_3-0-0_088081_2013-07-17_final
2014-05-23 11:01:31	ga_ls7e_ard_3-0-0_107081_2014-05-23_final
2014-10-03 11:21:47	ga_ls7e_ard_3-0-0_110084_2014-10-03_final
2014-10-06 10:07:03	ga_ls7e_ard_3-0-0_099067_2014-10-06_final
2015-07-01 10:39:05	ga_ls7e_ard_3-0-0_103081_2015-07-01_final
2015-09-07 11:52:17	ga_ls7e_ard_3-0-0_115078_2015-09-07_final
2016-02-14 10:12:36	ga_ls7e_ard_3-0-0_099071_2016-02-14_final
2016-04-09 10:19:07	ga_ls7e_ard_3-0-0_100071_2016-04-09_final
2016-05-19 09:36:15	ga_ls7e_ard_3-0-0_092087_2016-05-19_final
2016-05-30 09:16:36	ga_ls7e_ard_3-0-0_089084_2016-05-29_final
2016-07-09 11:43:48	ga_ls7e_ard_3-0-0_113081_2016-07-09_final
2016-10-10 09:37:00	ga_ls7e_ard_3-0-0_092088_2016-10-10_final
2017-07-31 10:33:30	ga_ls7e_ard_3-0-0_102075_2017-07-31_final
2017-08-05 09:16:20	ga_ls7e_ard_3-0-0_089083_2017-08-04_final
2017-12-02 09:19:59	ga_ls7e_ard_3-0-0_090077_2017-12-01_final
2018-02-12 10:05:41	ga_ls7e_ard_3-0-0_098070_2018-02-12_final
2018-03-06 11:09:16	ga_ls7e_ard_3-1-0_108075_2018-03-06_final
2018-06-14 10:45:45	ga_ls7e_ard_3-0-0_104082_2018-06-14_final
2018-09-01 10:02:11	ga_ls7e_ard_3-0-0_097085_2018-09-01_final
2018-10-30 11:15:59	ga_ls7e_ard_3-1-0_110072_2018-10-30_final
2019-01-08 10:41:02	ga_ls7e_ard_3-0-0_104082_2019-01-08_final
2019-05-06 09:58:26	ga_ls7e_ard_3-0-0_098078_2019-05-06_final
2019-11-16 11:12:40	ga_ls7e_ard_3-1-0_112067_2019-11-16_final
2021-02-19 10:19:53	ga_ls7e_ard_3-2-0_107083_2021-02-19_final
2021-05-19 10:06:02	ga_ls7e_ard_3-2-0_106082_2021-05-19_final
2021-05-31 10:23:45	ga_ls7e_ard_3-2-0_110067_2021-05-31_final
2021-06-03 09:19:30	ga_ls7e_ard_3-2-0_099077_2021-06-02_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