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

66 results

Time (local)	Label
1999-07-09 10:03:30	ga_ls7e_ard_3-0-0_099071_1999-07-09_final
2000-03-05 11:44:36	ga_ls7e_ard_3-0-0_115077_2000-03-05_final
2000-03-28 10:09:51	ga_ls7e_ard_3-0-0_100072_2000-03-28_final
2000-05-22 10:17:29	ga_ls7e_ard_3-0-0_101077_2000-05-22_final
2000-10-07 09:19:16	ga_ls7e_ard_3-0-0_091090_2000-10-06_final
2001-03-08 10:05:51	ga_ls7e_ard_3-0-0_099083_2001-03-08_final
2001-05-22 09:47:13	ga_ls7e_ard_3-0-0_096084_2001-05-22_final
2002-01-20 10:16:43	ga_ls7e_ard_3-0-0_101083_2002-01-20_final
2002-07-18 09:10:13	ga_ls7e_ard_3-0-0_090088_2002-07-17_final
2003-03-13 09:23:23	ga_ls7e_ard_3-0-0_092089_2003-03-12_final
2004-02-13 09:58:15	ga_ls7e_ard_3-0-0_099067_2004-02-13_final
2004-05-11 09:16:28	ga_ls7e_ard_3-1-0_091086_2004-05-10_final
2005-03-12 09:53:51	ga_ls7e_ard_3-0-0_098070_2005-03-12_final
2005-04-05 09:07:08	ga_ls7e_ard_3-0-0_090077_2005-04-04_final
2005-05-16 10:39:25	ga_ls7e_ard_3-0-0_105076_2005-05-16_final
2006-10-24 10:54:59	ga_ls7e_ard_3-0-0_107084_2006-10-24_final
2006-10-31 09:24:23	ga_ls7e_ard_3-0-0_092089_2006-10-30_final
2007-03-06 11:09:37	ga_ls7e_ard_3-1-0_110072_2007-03-06_final
2007-05-03 10:11:44	ga_ls7e_ard_3-0-0_100082_2007-05-03_final
2007-07-17 09:47:46	ga_ls7e_ard_3-0-0_097069_2007-07-17_final
2007-09-25 10:54:20	ga_ls7e_ard_3-0-0_107082_2007-09-25_final
2008-03-15 11:16:37	ga_ls7e_ard_3-0-0_111075_2008-03-15_final
2008-03-17 09:25:23	ga_ls7e_ard_3-0-0_093075_2008-03-16_final
2008-04-04 10:54:42	ga_ls7e_ard_3-0-0_107082_2008-04-04_final
2008-05-05 10:07:45	ga_ls7e_ard_3-0-0_100073_2008-05-05_final
2008-05-18 11:15:40	ga_ls7e_ard_3-0-0_111073_2008-05-18_final
2008-09-04 09:11:42	ga_ls7e_ard_3-0-0_090090_2008-09-03_final
2009-05-11 10:40:14	ga_ls7e_ard_3-0-0_105076_2009-05-11_final
2009-05-17 10:03:57	ga_ls7e_ard_3-0-0_099078_2009-05-17_final
2009-07-04 10:04:17	ga_ls7e_ard_3-0-0_099079_2009-07-04_final
2009-11-09 10:01:15	ga_ls7e_ard_3-0-0_099071_2009-11-09_final
2009-12-20 09:55:37	ga_ls7e_ard_3-0-0_098071_2009-12-20_final
2011-12-09 10:53:56	ga_ls7e_ard_3-0-0_107071_2011-12-09_final
2011-12-20 10:34:18	ga_ls7e_ard_3-0-0_104068_2011-12-20_final
2012-11-01 11:48:39	ga_ls7e_ard_3-0-0_115079_2012-11-01_final
2013-01-07 10:36:36	ga_ls7e_ard_3-0-0_104068_2013-01-07_final
2013-06-26 11:17:29	ga_ls7e_ard_3-0-0_110079_2013-06-26_final
2013-10-17 10:19:06	ga_ls7e_ard_3-0-0_101071_2013-10-17_final
2014-03-13 10:50:49	ga_ls7e_ard_3-0-0_106071_2014-03-13_final
2014-04-13 10:12:33	ga_ls7e_ard_3-0-0_099083_2014-04-13_final
2014-06-08 09:22:41	ga_ls7e_ard_3-0-0_091081_2014-06-07_final
2014-11-17 10:48:27	ga_ls7e_ard_3-0-0_105077_2014-11-17_final
2015-03-19 11:28:17	ga_ls7e_ard_3-1-0_111082_2015-03-19_final
2015-10-03 09:13:15	ga_ls7e_ard_3-0-0_089082_2015-10-02_final
2016-01-21 09:29:22	ga_ls7e_ard_3-0-0_091087_2016-01-20_final
2016-10-28 10:57:52	ga_ls7e_ard_3-0-0_106074_2016-10-28_final
2016-12-08 09:15:47	ga_ls7e_ard_3-0-0_089082_2016-12-07_final
2016-12-10 10:41:54	ga_ls7e_ard_3-0-0_103081_2016-12-10_final
2016-12-12 10:28:20	ga_ls7e_ard_3-0-0_101078_2016-12-12_final
2017-02-17 10:54:46	ga_ls7e_ard_3-0-0_106068_2017-02-17_final
2017-07-15 10:32:43	ga_ls7e_ard_3-0-0_102073_2017-07-15_final
2017-08-08 09:48:50	ga_ls7e_ard_3-0-0_094087_2017-08-08_final
2018-02-19 10:17:24	ga_ls7e_ard_3-0-0_099084_2018-02-19_final
2018-06-17 11:14:12	ga_ls7e_ard_3-0-0_109076_2018-06-17_final
2018-07-15 09:58:41	ga_ls7e_ard_3-0-0_097074_2018-07-15_final
2019-01-29 09:18:01	ga_ls7e_ard_3-0-0_091077_2019-01-28_final
2019-03-02 10:58:20	ga_ls7e_ard_3-1-0_107083_2019-03-02_final
2019-04-19 10:55:30	ga_ls7e_ard_3-0-0_107080_2019-04-19_final
2019-04-21 10:41:04	ga_ls7e_ard_3-0-0_105075_2019-04-21_final
2019-08-05 09:34:02	ga_ls7e_ard_3-0-0_095072_2019-08-05_final
2019-09-12 08:57:44	ga_ls7e_ard_3-1-0_089078_2019-09-11_final
2020-09-21 10:21:06	ga_ls7e_ard_3-1-0_106075_2020-09-21_final
2020-10-02 09:59:04	ga_ls7e_ard_3-1-0_103068_2020-10-02_final
2021-01-03 09:26:29	ga_ls7e_ard_3-1-0_098080_2021-01-02_final
2022-02-08 09:30:40	ga_ls7e_ard_3-2-1_105069_2022-02-08_final
2022-03-11 08:45:09	ga_ls7e_ard_3-2-1_098071_2022-03-10_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