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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

71 results

Time (local)	Label
1999-08-07 09:38:43	ga_ls7e_ard_3-0-0_094086_1999-08-07_final
1999-11-05 10:10:35	ga_ls7e_ard_3-0-0_100073_1999-11-05_final
2000-09-30 10:46:25	ga_ls7e_ard_3-0-0_106076_2000-09-30_final
2001-11-03 09:59:04	ga_ls7e_ard_3-0-0_099071_2001-11-03_final
2001-11-27 10:50:19	ga_ls7e_ard_3-0-0_107075_2001-11-27_final
2001-12-29 10:50:24	ga_ls7e_ard_3-0-0_107075_2001-12-29_final
2002-02-23 09:58:25	ga_ls7e_ard_3-0-0_099068_2002-02-23_final
2002-06-13 10:11:37	ga_ls7e_ard_3-0-0_101071_2002-06-13_final
2002-08-18 09:59:41	ga_ls7e_ard_3-0-0_099073_2002-08-18_final
2002-10-31 08:59:07	ga_ls7e_ard_3-0-0_089077_2002-10-30_final
2002-12-12 09:32:39	ga_ls7e_ard_3-0-0_095067_2002-12-12_final
2003-01-08 10:53:51	ga_ls7e_ard_3-0-0_108069_2003-01-08_final
2003-02-22 10:25:19	ga_ls7e_ard_3-0-0_103074_2003-02-22_final
2003-07-21 09:09:37	ga_ls7e_ard_3-0-0_090086_2003-07-20_final
2003-07-24 09:40:54	ga_ls7e_ard_3-0-0_095087_2003-07-24_final
2003-07-29 09:58:36	ga_ls7e_ard_3-0-0_098085_2003-07-29_final
2003-08-25 09:32:48	ga_ls7e_ard_3-0-0_095067_2003-08-25_final
2004-01-29 10:43:27	ga_ls7e_ard_3-0-0_106072_2004-01-29_final
2004-02-10 11:07:25	ga_ls7e_ard_3-0-0_110070_2004-02-10_final
2004-02-17 09:33:31	ga_ls7e_ard_3-0-0_095067_2004-02-17_final
2004-04-17 09:59:28	ga_ls7e_ard_3-0-0_099070_2004-04-17_final
2004-08-18 11:18:16	ga_ls7e_ard_3-0-0_112067_2004-08-18_final
2004-10-02 09:16:38	ga_ls7e_ard_3-0-0_091088_2004-10-01_final
2004-12-30 10:48:07	ga_ls7e_ard_3-0-0_106083_2004-12-30_final
2005-08-18 09:17:23	ga_ls7e_ard_3-0-0_091088_2005-08-17_final
2006-04-11 09:34:26	ga_ls7e_ard_3-0-0_095067_2006-04-11_final
2006-10-16 10:02:13	ga_ls7e_ard_3-0-0_099076_2006-10-16_final
2006-11-16 11:01:28	ga_ls7e_ard_3-0-0_108084_2006-11-16_final
2006-12-11 10:51:31	ga_ls7e_ard_3-0-0_107074_2006-12-11_final
2007-03-08 10:56:04	ga_ls7e_ard_3-0-0_108069_2007-03-08_final
2008-11-21 10:55:35	ga_ls7e_ard_3-1-0_108071_2008-11-21_final
2009-03-11 09:34:44	ga_ls7e_ard_3-1-0_094083_2009-03-11_final
2009-07-14 10:42:32	ga_ls7e_ard_3-0-0_105082_2009-07-14_final
2010-03-14 09:33:09	ga_ls7e_ard_3-0-0_094074_2010-03-14_final
2010-06-11 11:05:52	ga_ls7e_ard_3-0-0_109074_2010-06-11_final
2010-08-30 11:09:59	ga_ls7e_ard_3-0-0_109084_2010-08-30_final
2010-11-05 10:00:43	ga_ls7e_ard_3-0-0_098080_2010-11-05_final
2011-11-12 11:13:50	ga_ls7e_ard_3-0-0_110075_2011-11-12_final
2012-03-30 10:59:04	ga_ls7e_ard_3-0-0_107083_2012-03-30_final
2013-01-19 09:30:25	ga_ls7e_ard_3-0-0_092088_2013-01-19_final
2013-05-07 11:25:22	ga_ls7e_ard_3-0-0_112067_2013-05-07_final
2013-06-07 10:46:17	ga_ls7e_ard_3-0-0_105078_2013-06-07_final
2014-04-08 09:53:33	ga_ls7e_ard_3-0-0_096082_2014-04-08_final
2014-04-17 09:41:30	ga_ls7e_ard_3-0-0_095067_2014-04-17_final
2014-05-25 09:10:17	ga_ls7e_ard_3-1-0_089081_2014-05-24_final
2015-04-09 11:41:00	ga_ls7e_ard_3-0-0_114067_2015-04-09_final
2015-08-17 09:50:26	ga_ls7e_ard_3-0-0_096067_2015-08-17_final
2015-11-25 09:34:42	ga_ls7e_ard_3-0-0_092087_2015-11-25_final
2016-12-15 11:01:13	ga_ls7e_ard_3-0-0_106083_2016-12-15_final
2017-01-17 10:00:29	ga_ls7e_ard_3-0-0_097071_2017-01-17_final
2017-02-20 09:46:25	ga_ls7e_ard_3-0-0_095067_2017-02-20_final
2017-03-08 09:46:32	ga_ls7e_ard_3-0-0_095067_2017-03-08_final
2018-01-12 10:49:49	ga_ls7e_ard_3-0-0_105071_2018-01-12_final
2018-03-23 10:14:37	ga_ls7e_ard_3-0-0_099078_2018-03-23_final
2018-04-01 10:08:42	ga_ls7e_ard_3-0-0_098079_2018-04-01_final
2018-07-13 10:09:05	ga_ls7e_ard_3-0-0_099069_2018-07-13_final
2018-11-08 11:09:36	ga_ls7e_ard_3-0-0_109072_2018-11-08_final
2019-01-05 11:47:54	ga_ls7e_ard_3-0-0_115079_2019-01-05_final
2019-01-20 11:04:58	ga_ls7e_ard_3-0-0_108081_2019-01-20_final
2019-04-03 09:19:35	ga_ls7e_ard_3-1-0_091086_2019-04-02_final
2019-06-14 11:40:52	ga_ls7e_ard_3-0-0_115075_2019-06-14_final
2019-07-11 11:22:06	ga_ls7e_ard_3-1-0_112077_2019-07-11_final
2019-09-02 11:38:03	ga_ls7e_ard_3-1-0_115076_2019-09-02_final
2020-07-29 11:05:16	ga_ls7e_ard_3-1-0_112084_2020-07-29_final
2021-01-26 09:31:50	ga_ls7e_ard_3-2-0_099082_2021-01-26_final
2021-04-17 08:30:39	ga_ls7e_ard_3-2-0_090084_2021-04-16_final
2021-06-13 08:20:29	ga_ls7e_ard_3-2-0_089086_2021-06-12_final
2021-06-26 09:26:12	ga_ls7e_ard_3-2-0_100083_2021-06-25_final
2021-08-03 08:47:27	ga_ls7e_ard_3-2-0_094087_2021-08-02_final
2021-10-21 09:33:42	ga_ls7e_ard_3-2-0_103081_2021-10-21_final
2021-11-02 08:16:51	ga_ls7e_ard_3-2-0_091077_2021-11-01_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