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

63 results

Time (local)	Label
1999-11-17 10:38:06	ga_ls7e_ard_3-0-0_104080_1999-11-17_final
2000-01-13 10:31:52	ga_ls7e_ard_3-0-0_103080_2000-01-13_final
2000-10-08 10:00:31	ga_ls7e_ard_3-1-0_098085_2000-10-08_final
2000-11-30 10:17:27	ga_ls7e_ard_3-0-0_101081_2000-11-30_final
2001-09-06 11:02:19	ga_ls7e_ard_3-0-0_109074_2001-09-06_final
2002-05-13 10:54:18	ga_ls7e_ard_3-0-0_108069_2002-05-13_final
2003-01-07 10:15:23	ga_ls7e_ard_3-0-0_101081_2003-01-07_final
2003-12-19 10:53:22	ga_ls7e_ard_3-0-0_107082_2003-12-19_final
2004-12-16 10:35:13	ga_ls7e_ard_3-0-0_104082_2004-12-16_final
2005-06-21 10:17:18	ga_ls7e_ard_3-0-0_101083_2005-06-21_final
2006-02-22 09:41:16	ga_ls7e_ard_3-0-0_095084_2006-02-22_final
2006-05-07 10:17:56	ga_ls7e_ard_3-0-0_101083_2006-05-07_final
2006-05-10 09:11:09	ga_ls7e_ard_3-0-0_090086_2006-05-09_final
2006-05-15 11:04:12	ga_ls7e_ard_3-0-0_109075_2006-05-15_final
2006-07-27 09:19:33	ga_ls7e_ard_3-0-0_092077_2006-07-26_final
2006-10-16 11:42:18	ga_ls7e_ard_3-0-0_115079_2006-10-16_final
2006-10-20 11:16:26	ga_ls7e_ard_3-0-0_111076_2006-10-20_final
2007-01-03 09:19:17	ga_ls7e_ard_3-0-0_092075_2007-01-02_final
2007-01-09 10:20:17	ga_ls7e_ard_3-0-0_102073_2007-01-09_final
2007-08-30 10:15:25	ga_ls7e_ard_3-0-0_101077_2007-08-30_final
2007-11-14 10:42:18	ga_ls7e_ard_3-0-0_105082_2007-11-14_final
2007-12-27 10:23:36	ga_ls7e_ard_3-0-0_102081_2007-12-27_final
2008-01-17 10:37:46	ga_ls7e_ard_3-0-0_105070_2008-01-17_final
2008-07-03 09:52:42	ga_ls7e_ard_3-0-0_097083_2008-07-03_final
2008-12-29 10:21:16	ga_ls7e_ard_3-0-0_102077_2008-12-29_final
2009-02-04 10:36:24	ga_ls7e_ard_3-0-0_105068_2009-02-04_final
2009-06-27 09:53:21	ga_ls7e_ard_3-0-0_098067_2009-06-27_final
2009-08-16 09:47:32	ga_ls7e_ard_3-0-0_096084_2009-08-16_final
2009-09-21 09:22:24	ga_ls7e_ard_3-0-0_092083_2009-09-20_final
2010-11-14 11:34:21	ga_ls7e_ard_3-0-0_113082_2010-11-14_final
2011-02-22 09:29:07	ga_ls7e_ard_3-0-0_093076_2011-02-21_final
2011-03-19 10:59:54	ga_ls7e_ard_3-1-0_108071_2011-03-19_final
2011-05-23 10:06:42	ga_ls7e_ard_3-0-0_099077_2011-05-23_final
2011-07-10 10:09:26	ga_ls7e_ard_3-0-0_099084_2011-07-10_final
2011-07-16 09:32:45	ga_ls7e_ard_3-0-0_093085_2011-07-16_final
2011-11-15 11:46:22	ga_ls7e_ard_3-0-0_115079_2011-11-15_final
2012-05-05 10:34:23	ga_ls7e_ard_3-0-0_103082_2012-05-05_final
2013-08-21 10:23:25	ga_ls7e_ard_3-0-0_102068_2013-08-21_final
2014-04-06 10:00:20	ga_ls7e_ard_3-0-0_098068_2014-04-06_final
2014-12-07 10:23:04	ga_ls7e_ard_3-1-0_101075_2014-12-07_final
2015-01-26 10:08:09	ga_ls7e_ard_3-0-0_099068_2015-01-26_final
2015-09-13 11:14:02	ga_ls7e_ard_3-0-0_109075_2015-09-13_final
2015-11-07 11:23:39	ga_ls7e_ard_3-0-0_110082_2015-11-07_final
2015-11-19 10:04:31	ga_ls7e_ard_3-0-0_098069_2015-11-19_final
2016-04-01 11:10:30	ga_ls7e_ard_3-0-0_108076_2016-04-01_final
2016-05-18 10:29:53	ga_ls7e_ard_3-0-0_101082_2016-05-18_final
2016-11-02 11:17:11	ga_ls7e_ard_3-0-0_109076_2016-11-02_final
2017-02-20 11:27:17	ga_ls7e_ard_3-0-0_111072_2017-02-20_final
2017-05-03 10:41:53	ga_ls7e_ard_3-0-0_103081_2017-05-03_final
2017-06-05 11:22:53	ga_ls7e_ard_3-0-0_110075_2017-06-05_final
2018-03-07 11:52:54	ga_ls7e_ard_3-0-0_115076_2018-03-07_final
2019-03-12 09:56:36	ga_ls7e_ard_3-1-0_097084_2019-03-12_final
2019-03-16 09:28:58	ga_ls7e_ard_3-1-0_093077_2019-03-15_final
2019-05-29 10:06:08	ga_ls7e_ard_3-0-0_099084_2019-05-29_final
2019-07-26 10:38:38	ga_ls7e_ard_3-0-0_105078_2019-07-26_final
2019-07-29 11:05:02	ga_ls7e_ard_3-0-0_110067_2019-07-29_final
2019-11-17 10:18:35	ga_ls7e_ard_3-1-0_103071_2019-11-17_final
2020-01-02 08:54:58	ga_ls7e_ard_3-1-0_089084_2020-01-01_final
2020-05-07 08:58:53	ga_ls7e_ard_3-1-0_091080_2020-05-06_final
2020-06-10 10:21:46	ga_ls7e_ard_3-1-0_105076_2020-06-10_final
2021-01-27 10:12:37	ga_ls7e_ard_3-2-0_106076_2021-01-27_final
2021-08-21 08:31:54	ga_ls7e_ard_3-2-0_092083_2021-08-20_final
2022-01-14 09:42:06	ga_ls7e_ard_3-2-1_106076_2022-01-14_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