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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

63 results

Time (local)	Label
2000-12-14 10:24:39	ga_ls7e_ard_3-0-0_103068_2000-12-14_final
2001-02-11 10:10:07	ga_ls7e_ard_3-0-0_100078_2001-02-11_final
2001-05-06 11:19:31	ga_ls7e_ard_3-0-0_112067_2001-05-06_final
2001-10-17 10:55:48	ga_ls7e_ard_3-0-0_108074_2001-10-17_final
2001-11-26 10:08:16	ga_ls7e_ard_3-0-0_100078_2001-11-26_final
2002-02-24 10:44:30	ga_ls7e_ard_3-1-0_106075_2002-02-24_final
2002-04-11 10:54:22	ga_ls7e_ard_3-0-0_108069_2002-04-11_final
2002-05-09 11:18:18	ga_ls7e_ard_3-0-0_112067_2002-05-09_final
2002-05-22 10:50:28	ga_ls7e_ard_3-0-0_107075_2002-05-22_final
2002-07-07 11:02:33	ga_ls7e_ard_3-0-0_109075_2002-07-07_final
2003-03-20 11:02:25	ga_ls7e_ard_3-0-0_109074_2003-03-20_final
2003-05-02 10:44:45	ga_ls7e_ard_3-0-0_106076_2003-05-02_final
2003-11-09 09:58:24	ga_ls7e_ard_3-0-0_099069_2003-11-09_final
2004-01-21 09:51:57	ga_ls7e_ard_3-0-0_098067_2004-01-21_final
2004-03-16 09:59:35	ga_ls7e_ard_3-0-0_099070_2004-03-16_final
2004-05-28 09:58:53	ga_ls7e_ard_3-0-0_098084_2004-05-28_final
2004-06-21 10:45:00	ga_ls7e_ard_3-0-0_106076_2004-06-21_final
2004-11-21 09:01:31	ga_ls7e_ard_3-0-0_089080_2004-11-20_final
2005-02-16 10:45:35	ga_ls7e_ard_3-0-0_106076_2005-02-16_final
2005-03-19 09:59:38	ga_ls7e_ard_3-0-0_099069_2005-03-19_final
2005-11-03 10:22:37	ga_ls7e_ard_3-0-0_102081_2005-11-03_final
2006-03-22 10:01:13	ga_ls7e_ard_3-0-0_099072_2006-03-22_final
2006-07-14 09:49:22	ga_ls7e_ard_3-0-0_097074_2006-07-14_final
2006-07-20 10:51:30	ga_ls7e_ard_3-0-0_107075_2006-07-20_final
2008-02-13 10:23:32	ga_ls7e_ard_3-0-0_102081_2008-02-13_final
2008-04-07 11:19:37	ga_ls7e_ard_3-0-0_112067_2008-04-07_final
2008-04-07 11:26:24	ga_ls7e_ard_3-1-0_112084_2008-04-07_final
2008-07-06 10:22:46	ga_ls7e_ard_3-0-0_102081_2008-07-06_final
2008-08-17 09:23:24	ga_ls7e_ard_3-1-0_092088_2008-08-16_final
2008-12-01 09:56:41	ga_ls7e_ard_3-0-0_098078_2008-12-01_final
2009-03-25 11:19:42	ga_ls7e_ard_3-0-0_112067_2009-03-25_final
2009-06-17 09:24:16	ga_ls7e_ard_3-0-0_092087_2009-06-16_final
2010-03-12 11:24:23	ga_ls7e_ard_3-0-0_112074_2010-03-12_final
2010-06-07 09:49:42	ga_ls7e_ard_3-0-0_097069_2010-06-07_final
2010-06-13 09:19:48	ga_ls7e_ard_3-0-0_091087_2010-06-12_final
2010-12-18 09:37:27	ga_ls7e_ard_3-0-0_095067_2010-12-18_final
2011-01-31 10:06:30	ga_ls7e_ard_3-0-0_099077_2011-01-31_final
2011-02-05 10:26:40	ga_ls7e_ard_3-0-0_102081_2011-02-05_final
2012-03-16 09:05:50	ga_ls7e_ard_3-0-0_089078_2012-03-15_final
2012-12-24 10:29:24	ga_ls7e_ard_3-0-0_102081_2012-12-24_final
2014-03-06 09:10:54	ga_ls7e_ard_3-0-0_089084_2014-03-05_final
2014-10-31 11:39:59	ga_ls7e_ard_3-0-0_114067_2014-10-31_final
2014-11-06 09:27:17	ga_ls7e_ard_3-0-0_092075_2014-11-05_final
2015-01-11 10:52:09	ga_ls7e_ard_3-0-0_106070_2015-01-11_final
2015-10-14 10:33:26	ga_ls7e_ard_3-0-0_102081_2015-10-14_final
2016-02-27 11:20:13	ga_ls7e_ard_3-0-0_110070_2016-02-27_final
2016-04-22 09:46:44	ga_ls7e_ard_3-0-0_095067_2016-04-22_final
2016-09-01 09:29:09	ga_ls7e_ard_3-0-0_091084_2016-08-31_final
2016-10-19 11:04:30	ga_ls7e_ard_3-0-0_107075_2016-10-19_final
2017-08-22 09:53:12	ga_ls7e_ard_3-0-0_096067_2017-08-22_final
2017-09-12 10:12:07	ga_ls7e_ard_3-0-0_099068_2017-09-12_final
2017-12-21 09:46:43	ga_ls7e_ard_3-0-0_095067_2017-12-21_final
2018-05-30 09:44:24	ga_ls7e_ard_3-0-0_095067_2018-05-30_final
2018-11-12 09:08:18	ga_ls7e_ard_3-0-0_089078_2018-11-11_final
2019-07-17 10:43:59	ga_ls7e_ard_3-1-0_106075_2019-07-17_final
2019-11-25 11:08:03	ga_ls7e_ard_3-1-0_111072_2019-11-25_final
2019-12-04 11:01:50	ga_ls7e_ard_3-1-0_110073_2019-12-04_final
2019-12-04 11:02:14	ga_ls7e_ard_3-1-0_110074_2019-12-04_final
2020-05-13 10:01:31	ga_ls7e_ard_3-1-0_101083_2020-05-13_final
2020-06-10 10:20:58	ga_ls7e_ard_3-1-0_105074_2020-06-10_final
2021-02-19 10:19:53	ga_ls7e_ard_3-2-0_107083_2021-02-19_final
2021-06-04 08:28:12	ga_ls7e_ard_3-2-0_090088_2021-06-03_final
2022-03-02 08:52:37	ga_ls7e_ard_3-2-1_099072_2022-03-01_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years