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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

69 results

Time (local)	Label
1999-11-05 10:12:35	ga_ls7e_ard_3-0-0_100078_1999-11-05_final
2000-09-17 11:16:14	ga_ls7e_ard_3-0-0_111073_2000-09-17_final
2001-07-02 09:35:45	ga_ls7e_ard_3-0-0_095072_2001-07-02_final
2001-12-14 09:56:24	ga_ls7e_ard_3-0-0_098079_2001-12-14_final
2002-05-31 09:10:30	ga_ls7e_ard_3-0-0_090088_2002-05-30_final
2002-10-21 11:38:59	ga_ls7e_ard_3-0-0_115075_2002-10-21_final
2003-01-06 09:30:32	ga_ls7e_ard_3-0-0_094077_2003-01-06_final
2003-07-20 09:59:16	ga_ls7e_ard_3-0-0_099071_2003-07-20_final
2003-08-04 10:56:20	ga_ls7e_ard_3-1-0_108075_2003-08-04_final
2003-11-03 09:02:55	ga_ls7e_ard_3-0-0_089085_2003-11-02_final
2004-01-11 10:56:28	ga_ls7e_ard_3-0-0_108074_2004-01-11_final
2004-01-12 09:58:51	ga_ls7e_ard_3-0-0_099069_2004-01-12_final
2004-01-26 10:12:08	ga_ls7e_ard_3-0-0_101071_2004-01-26_final
2004-02-17 11:15:12	ga_ls7e_ard_3-0-0_111074_2004-02-17_final
2004-07-23 10:44:54	ga_ls7e_ard_3-0-0_106076_2004-07-23_final
2004-11-29 09:52:39	ga_ls7e_ard_3-0-0_097084_2004-11-29_final
2005-05-22 11:42:00	ga_ls7e_ard_3-0-0_115078_2005-05-22_final
2005-08-09 09:23:13	ga_ls7e_ard_3-0-0_092087_2005-08-08_final
2005-10-16 10:29:34	ga_ls7e_ard_3-0-0_104068_2005-10-16_final
2005-12-07 10:08:54	ga_ls7e_ard_3-0-0_100077_2005-12-07_final
2007-01-17 11:09:43	ga_ls7e_ard_3-0-0_110073_2007-01-17_final
2007-06-15 09:54:13	ga_ls7e_ard_3-0-0_097085_2007-06-15_final
2008-05-24 10:39:44	ga_ls7e_ard_3-0-0_105076_2008-05-24_final
2008-06-09 09:02:19	ga_ls7e_ard_3-0-0_089080_2008-06-08_final
2008-09-08 10:22:38	ga_ls7e_ard_3-0-0_102082_2008-09-08_final
2008-11-19 09:33:01	ga_ls7e_ard_3-0-0_094081_2008-11-19_final
2008-12-26 11:28:02	ga_ls7e_ard_3-0-0_113074_2008-12-26_final
2009-03-15 09:11:14	ga_ls7e_ard_3-0-0_090086_2009-03-14_final
2009-11-18 11:37:40	ga_ls7e_ard_3-0-0_114080_2009-11-18_final
2010-04-27 09:59:56	ga_ls7e_ard_3-0-0_098079_2010-04-27_final
2010-06-12 10:12:14	ga_ls7e_ard_3-0-0_100079_2010-06-12_final
2010-06-13 10:55:06	ga_ls7e_ard_3-0-0_107078_2010-06-13_final
2010-08-06 10:19:41	ga_ls7e_ard_3-0-0_101082_2010-08-06_final
2010-09-15 11:04:49	ga_ls7e_ard_3-0-0_109071_2010-09-15_final
2010-10-28 10:45:41	ga_ls7e_ard_3-0-0_106069_2010-10-28_final
2010-12-18 09:43:26	ga_ls7e_ard_3-0-0_095082_2010-12-18_final
2011-04-13 10:58:58	ga_ls7e_ard_3-0-0_107084_2011-04-13_final
2011-06-30 11:07:14	ga_ls7e_ard_3-0-0_109074_2011-06-30_final
2012-08-17 11:24:02	ga_ls7e_ard_3-0-0_111081_2012-08-17_final
2012-10-26 10:42:26	ga_ls7e_ard_3-0-0_105068_2012-10-26_final
2012-10-29 09:38:27	ga_ls7e_ard_3-0-0_094078_2012-10-29_final
2012-11-10 10:00:26	ga_ls7e_ard_3-0-0_098071_2012-11-10_final
2012-12-12 10:04:11	ga_ls7e_ard_3-0-0_098080_2012-12-12_final
2013-04-05 11:29:07	ga_ls7e_ard_3-0-0_112076_2013-04-05_final
2013-09-02 09:17:23	ga_ls7e_ard_3-0-0_090088_2013-09-01_final
2013-12-10 11:20:03	ga_ls7e_ard_3-0-0_111068_2013-12-10_final
2014-04-05 11:01:56	ga_ls7e_ard_3-0-0_107083_2014-04-05_final
2015-03-03 09:46:28	ga_ls7e_ard_3-0-0_095075_2015-03-03_final
2015-06-11 09:24:28	ga_ls7e_ard_3-0-0_091080_2015-06-10_final
2015-06-14 11:31:52	ga_ls7e_ard_3-0-0_112074_2015-06-14_final
2015-07-01 10:39:28	ga_ls7e_ard_3-0-0_103082_2015-07-01_final
2016-06-22 10:58:33	ga_ls7e_ard_3-0-0_106076_2016-06-22_final
2017-01-12 11:26:05	ga_ls7e_ard_3-0-0_110084_2017-01-12_final
2017-04-04 09:36:06	ga_ls7e_ard_3-0-0_092087_2017-04-04_final
2017-06-05 09:40:48	ga_ls7e_ard_3-1-0_094067_2017-06-05_final
2017-09-23 09:55:10	ga_ls7e_ard_3-0-0_096072_2017-09-23_final
2018-04-10 10:01:59	ga_ls7e_ard_3-0-0_097078_2018-04-10_final
2018-06-17 11:12:12	ga_ls7e_ard_3-0-0_109071_2018-06-17_final
2018-12-19 11:06:45	ga_ls7e_ard_3-0-0_108083_2018-12-19_final
2019-07-21 10:21:54	ga_ls7e_ard_3-0-0_102082_2019-07-21_final
2019-12-23 09:55:17	ga_ls7e_ard_3-1-0_099079_2019-12-23_final
2020-04-04 09:57:15	ga_ls7e_ard_3-1-0_100082_2020-04-04_final
2020-04-09 10:12:19	ga_ls7e_ard_3-1-0_103074_2020-04-09_final
2020-05-21 10:50:28	ga_ls7e_ard_3-1-0_109083_2020-05-21_final
2020-06-27 11:03:14	ga_ls7e_ard_3-1-0_112074_2020-06-27_final
2021-02-17 10:28:01	ga_ls7e_ard_3-2-0_109072_2021-02-17_final
2021-05-19 10:03:39	ga_ls7e_ard_3-2-0_106076_2021-05-19_final
2021-06-13 09:54:35	ga_ls7e_ard_3-2-0_105074_2021-06-13_final
2022-02-23 10:28:47	ga_ls7e_ard_3-2-1_114079_2022-02-23_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